How AI Can Solve Staffing Challenges in Healthcare

Jason Lockbaum Mar 6, 2024

In recent years, the healthcare industry has grappled with a significant challenge: staffing shortages. This issue has been exacerbated by various factors, including an ageing population, increased demand for healthcare services, and a limited pool of qualified professionals.

Healthcare staffing shortages will continue to create challenges in 2024, as one study projects more than 6.5 million U.S. healthcare professionals will permanently leave their positions by 2026, while only 1.9 million will step in to replace them. This will create a national shortage of more than 4 million workers. The Association of American Medical Colleges estimated a workforce shortage of 124,000 physicians by 2031. There’s expected to be an even more significant shortage among nurses; the U.S. Bureau of Labor and Statistics estimates a shortage of 200,000 nurses by the same year.

Unleashing the Power of Generative AI in Healthcare: Navigating Ethical Challenges and Risks for Responsible Implementation

Vince Vickers March 7, 2024

Generative Artificial Intelligence (GenAI) has emerged as a powerful tool that can potentially transform almost every industry, including healthcare. Its ability to generate new data, images, and even human-like text has opened up exciting possibilities for improving patient care and advancing medical research.

However, as we embrace the potential of generative AI in healthcare, it is crucial to prioritize ethical considerations to maintain trust, protect patient privacy, address algorithmic bias, and ensure transparency and accuracy. By doing so, we can harness the immense opportunities that generative AI offers while mitigating potential risks.

Revolutionizing Healthcare: The Synergy of Blockchain and AI

Lakshay Taneja March 9, 2024

The healthcare sector faces numerous hurdles, including data interoperability issues, patient privacy concerns, fraudulent activities, and inefficient processes. These challenges have spurred the exploration of innovative solutions, with Blockchain and AI emerging as frontrunners.

Initially developed for secure digital transactions, blockchain technology has found profound utility in healthcare for its ability to create tamper-proof records and ensure data integrity. Meanwhile, AI algorithms are increasingly adept at interpreting complex medical data, facilitating diagnosis, treatment planning, and predictive analytics. By integrating these technologies, healthcare stakeholders aim to revolutionize operations, enhance patient outcomes, and streamline workflows.

Exploring Interesting AI Applications in Healthcare: Redefining Patient Care

Anita Mudiaga March 6, 2024

In the dynamic landscape of healthcare, integrating artificial intelligence (AI) is reshaping traditional practices and opening doors to innovative solutions that redefine patient care. Today, let's embark on a journey to explore some of the most interesting AI applications in healthcare, uncovering how this transformative technology is revolutionizing the way we approach healthcare delivery and patient outcomes.

The Synergistic Enhancement of Healthcare and Cybersecurity through AI Integration

Eugene Groysman March 5, 2024

In an era dominated by technological advancements, Artificial Intelligence (AI) emerges as a pivotal force, driving innovation and reshaping the landscapes of industries it touches. Among the sectors standing at the cusp of transformation, healthcare and cybersecurity are particularly noteworthy. These fields, critical to the fabric of modern society, are undergoing a renaissance fueled by AI.

Good News!
Delhi Painter Gets Hands Back As Organ Donation Meets Surgical Excellence

Saikat Kumar Bose March 6, 2024

A painter who lost both hands in a tragic accident is about to hold his brush again, thanks to the surgical excellence of a group of Delhi doctors and a woman's organ donation pledge that transformed four lives.

The 45-year-old, whose case is the first successful bilateral hand transplant in Delhi, will be released from Sir Ganga Ram Hospital tomorrow. He had lost both his hands in a train accident in 2020. Coming from an underprivileged background, he was staring at a dead end.

Instant AI News Of The Week For Clinics:

1. NVIDIA’s Next-Gen DGX AI Systems To Feature Liquid Cooling, Reveals CEO Jensen Huang.[1]

2. Dangerous AI numbers: ChatGPT uses 17,000 times more electricity than an average US household daily.[2]

3. Elon Musk and Sam Altman, once technology visionaries on a joint mission to save the world from the threats of AI have become embroiled in a fallout that has resulted in a lawsuit and the publication of private emails.[3]

4. Authors over the AI use of copyrighted works have sued Nvidia.[4]

Sources:

[1] https://wccftech.com/nvidia-ceo-confirms-next-gen-dgx-ai-system-liquid-cooling/

[2] https://timesofindia.indiatimes.com/gadgets-news/alarming-ai-numbers-chatgpt-uses-17000-times-more-electricity-than-an-average-us-household-in-a-day/articleshow/108368128.cms

[3] https://www.dailymail.co.uk/news/article-13164315/Elon-Musk-feud-OpenAI-Sam-Altman-AI-emails.html

[4] https://www.reuters.com/technology/nvidia-is-sued-by-authors-over-ai-use-copyrighted-works-2024-03-10/

Clinics Hiring AI:

• Healthcare Artificial Intelligence Specialist - New Jersey (USA)

• VP of AI - Healthcare, Palo Alto (USA)

• Institute of AI for Health - Munich (DE)

(if you’re hiring for an AI position in your healthcare facility - let us know, and we’ll feature the position free of charge for 1 week)

AI Tool To Use:

Crowdlens

Crowdlens is an AI-powered social listening tool that monitors the web & social platforms and sends alerts when somebody mentions a keyword that matters to your clinic or hospital.

crowdlens.io/

AI Prompt Of The Day:

✅ Teach your coworkers to use AI

^{copy & paste into your chosen LLM ⬇️}

“Create a presentation on opportunities to use ChatGPT at [your clinic/hospital name], [a description of your medical speciality and preferred patient avatar]"

• Find the Slide Creator GPT in ChatGPT or access it here

• Prompt Slide Creator to generate a presentation based on your uploaded notes.

• Once you’re done, you can right-click each slide to save the image or visit the link attached to the slide to download the entire deck.

Exclusive offer from our partner Clinic Boost:

NEED HELP TO ONBOARD OR UPSKILL YOUR NON-MEDICAL TEAM?

Clinic Boost is a playbook for your whole non-medical team. It offers documentation, delegation, onboarding, and training in one place—everything you need to systemize and scale your clinic.

• Instant training and onboarding

• Access processes and SOPs from leading clinics

• Certificate for each person who completes the program

• All the scripts, templates, checklists, and AI prompts you need

• Delegate to us and regain your time and focus

• Keep your best people and reduce turnover

🤔 How do the top clinics/hospitals think about training / hiring someone for AI now:

Deloitte: Organisations expecting to hire new team members due to new AI

In a recent Deloitte survey with 2,835 business and technology leaders involved in piloting or implementing generative AI in their organizations, over 70% said they expect to change/train their team members in the next 2 years because of AI.

This statistic shocked me to see how fast we expect to adopt new AI to replace processes such as call centres, reception, patient management, etc.

So, my question for you to think about today is:

❓️ When do you expect to change who works with your clinic/hospital because of AI?

This leads me to the other side of the coin: 🪙 

❓️ What do our patients think about AI:

Source: google research

A new report from PYMNTS Intelligence shows growing consumer interest in AI across several sectors, with most consumers showing some or slight interest in having AI for various parts of their lives, with 41% looking forward to improvements in healthcare due to AI.

🕸️ Still reaching new patients through SEO?

Be aware - AI search is slowly replacing SEO.
But do you still want to make sure patients find your clinic/hospital through their AI questions?

Source: Figure

Are you curious which sites you must be on to appear in ChatGPT? This post by David Wilson shows that the recently filed NYT vs OpenAI lawsuit has provided a list of those sites. The LLM (large language models) are trained on multiple datasets, with the most important (most highly weighted) called Common Crawl. These are the media outlets that your PR team should be working on getting you coverage in. 

Also, don’t forget to test LLMs yourself to see if your clinic or hospital comes up in their recommendations. Ask for the sources of the recommendations that your LLM comes up with so that you can make sure you’re on those sites, too.

Instant AI News Of The Week For Clinics:

• Google is releasing text-to-video AI called “Lumiere” - one of the best yet to be seen.

• A chatbot says terrible things about the company it works for. Make sure you’re testing your chatbot for this.

Clinics Hiring AI:

• Docteur en Intelligence Artificielle H/F - Expleo Group (France)

• Chief Medical Information Officer - Halian (UAE)

• Director of Healthcare Analytics – Astra Zeneca (Spain)

(if you’re hiring for an AI position in your healthcare facility - let us know, and we’ll feature the position free of charge for 1 week)

AI Tools To Use:

• Gotalk.ai

  Generate lifelike AI voices for your YouTube, Podcasts, Phone System Greetings with Gotalk ai Voice Studio.

HOW I CAN HELP YOU? 🥳

Here are the options I have for us to work together. If any of them are interesting to you - let me know today!

🌏 Hiring new a.i. talent in your clinic/hospital? Let us know if you have a position available, and we’ll feature it here.

🧰 Want to outperform the competition? Ask us to help implement Dr. Arti into your clinic or hospital.

💰️ Invest in Dr. Arti? Be part of the biggest revolution in patient communication with clinics & hospitals and how clinics & hospitals lead their admin teams.

Send us a message.

2024 - Top 2 Predictions & Trends For AI in Clinics & Hospitals

2024 promises to be another exciting year of generative AI innovations and adoption, but it won’t be without its challenges.

In 2023, people were really excited about AI. But in 2024, McKinsey predicts that across all sectors, generative AI will have the biggest impact in healthcare - so take action now. They see that using AI solutions and software will help solve patient and business problems better in one of the slowest-moving industries on earth. This is because the platforms for AI in healthcare have improved a lot in the past year, and it is hoped that this will make clinics and hospitals more willing to use AI.

1. Clinics & hospitals will move towards creating and using their own specialised self-managed AI

In early 2024, clinics and hospitals will still focus on using GPT-4, a ready-made AI solution. However, they will also consider using specialised AI solutions like Dr.Arti for private healthcare businesses as these systems improve.

in 2024, more clinics & hospitals will hire Chief AI Officers to help with innovation and integrate AI into patient care. A notable trend will be using smaller, specialised open-source models not connected to the internet.

These models will be deployed in clinics and hospitals using Medium and Small Language Models (MLMs and SLMs). It will become more accessible to fine-tune these models, and clinics and hospitals will learn how to effectively structure, collect, and prepare training data for their own AI systems.

2. Patients will increasingly use AI to search for healthcare options

As AI becomes more common in laptops and phones across 2024 free of charge for all users, people will rely less on Google searches. Instead, they will ask AI for recommendations and even have AI book appointments for them. Clinics and hospitals should make sure their information is easily accessible to AI and train their staff to accommodate AI booking and prioritisation of patients.

The Road Ahead

Staying informed and adaptable will be vital to keeping up with the rapid innovation in generative AI.

We would love to hear from you on your AI predictions for 2024. If you would like to share your thoughts on the evolving role of AI in the private healthcare sector, reply to this email and we'll feature your thoughts in the next edition.

Source: google research

 🎓 New AI from Google Outperforming Doctors (again):

Google Research announced last week that they’ve developed a new AI model for diagnostic medical reasoning and conversations that improves diagnostic accuracy when paired with a clinician.

More surprisingly, their research found that the highest level of diagnostic accuracy was achieved when the clinician was removed from the equation.

The findings could significantly impact how patients are diagnosed in the future. The researchers clarify that the study’s purpose is only to demonstrate what’s possible with AI systems and healthcare and that further research is required before such a system can be implemented safely and effectively.

The AIME conversational model is similar to what we are creating with Dr. Arti today. If you are interested in investing, supporting, or working with us on this project please do get in touch.

Source: Figure

What’s coming after Chat GPT in 2024?

Q. What’s bigger than ChatGPT-type prompts in clinics & hospitals?
A. Robots powered by chat-gpt-like commands in clinics & hospitals.

Brett Adcock shared a video yesterday of his prototype humanoid robot making a coffee and correcting its mistakes after Tesla showed their humanoid robot that came with hands so delicate it could handle an egg without breaking it and fold laundry. You can check out that video here.

Adcock expects that robots like these will be employed in the workplace in the next 1-5 years, and in the next 5-10 years, almost everyone will have their humanoid robot - just like everyone has their phone today.

This will be a massive step in the patient and medical journey of most clinics & hospitals as humanoid robots become more commonplace in the patient journey, diagnostics, treatment and care of patients.

We are currently building Dr. Arti to work with many of these robotic solutions in the future. If you are interested in investing, supporting, or working with us on this project please contact us.

Instantly Get Up to Date AI News Of The Week For Clinics:

• - Novartis partners with Google to develop discovery of AI medicine

  Isomorphic Labs, the London-based, drug discovery–focused spinout of Google AI R&D division DeepMind, today announced that it’s entered into strategic partnerships with two pharmaceutical giants, Eli Lilly and Novartis, to apply AI to discover new medications to treat diseases.

  The deals have a combined value of around $3 billion.

• Nabla, a Paris-based medical copilot startup, raised $24 million for its AI assistant that helps doctors by automatically writing clinical notes.

• AI that predicts cognitive decline is approved

  BrainSee assigns a score forecasting the advancement of memory loss within five years.

• Tattoos done by robots remotely is a very short step away from dermatology treatments being done by robots - don’t you think?

Clinics Hiring AI:

• Digital Health Advisor - Tony Blair Institute for Global Change (UAE)

• Chief Medical Information Officer - Halian (UAE)

• Director of Healthcare Analytics – Astra Zeneca (Spain)

(if you’re hiring for an AI position in your healthcare facility - let us know, and we’ll feature the position free of charge for 1 week)

AI Quick Tool Of The Day:

✅ Cyber Security Specialist

^{copy & paste into your chosen LLM ⬇️}

“I want you to act as a cyber security specialist for «clinic or hospital name». I will provide some specific information about how our data is stored and shared, and it will be your job to develop strategies for protecting this data from malicious actors. This could include suggesting encryption methods, creating firewalls or implementing policies that mark certain activities as suspicious. My first request is, "I need help developing an effective cybersecurity strategy for my «clinic or hospital name»"

HOW I CAN HELP 🥳

Here are the options I have for us to work together. If any of them are interesting to you - hit me up!

🌏 Hiring global talent? Let us know if you have a position available, and we’ll feature it here.
🧰 Want to outperform the competition? Ask us to help implement Dr. Arti into your clinic or hospital.
👀 Invest in Dr. Arti? Be part of the biggest revolution in patient communication with clinics & hospitals and how clinics & hospitals lead their admin teams.
Send us a message.

but first, let’s have a look at…

2023! - What a year it's been for Clinics & Hospitals!

In 2022, most hadn’t ever considered using AI in their patient journey.
But 2023 was the year that clinics & hospitals bounced back fully from COVID-19, and teams everywhere started experimenting with AI.

Some broke through to new ways of reaching patients and a better patient journey experience; others tried AI and didn’t move forward.

This year saw some fascinating shifts in the healthcare landscape. As your guide in the field of AI, we thought it would be fitting to share some of the major trends from 2023 that have shaped clinics & hospitals:

• Moving from digital to an AI strategy for the clinic/hospital
  After missing out on starting early with web and social media strategies, many clinics & hospitals worldwide have decided to step up from a digital strategy to an AI strategy to gain a competitive advantage before everyone does it.

• The emergence of AI councils and policies
  Wanting to take a responsible approach to AI, clinics & hospitals rolled out their first AI councils and policies and started to build AI departments along with their marketing & patient management departments. Still, research from Salesforce shows that only 21% of companies have clear policies in place. Need help setting yours? Just let us know.
  

• AI got a lot more personal with you.
  Earlier this year, AI companies launched ways to upload your own clinic or hospital data, including your best practices and treatment processes, to make your AI outputs far more accurate and on-message.
  

• The E.U. and U.S. made progress on AI guidelines.
  With the Whitehouse Executive Order and agreement on the EU AI Act, public guidance and regulations on AI are starting to take shape. Be sure to click the links to read about how AI will affect your patients & your clinic or hospital soon.

Daniel & Alex spoke answered questions on AI at a recent medical tourism workshop

 🎓 Top Q&As on AI from Clinics & Hospitals in 2023:

Q: How can we go from having a few people using AI for marketing to having the whole clinic or hospital benefit from it?

A: This is done by communicating a simple action plan to the whole team with prioritised AI implementations and benefits for them.

Q: How do we teach AI to best help us in our clinic or hospital?

A: By giving it examples and data from your clinic or hospital to learn from and training it on your processes & best practices. Alternatively, you can apply the process and best practices of other leading clinics & hospitals to your AI.

Q: Should we worry about keeping patient info private when using AI?

A: It's important to ensure patient information stays private and safe. You can ask AI to anonymise all data before using it for interpretation.

Q: How will AI change how potential patients' find our clinic/hospital?

A: AI will be used by more and more people in 2024, mainly when they discuss treatment with AI and ask for suggestions on where it’s best to have treatment done.
Note: Remember that AI requests respond to good data rather than good copywriting, so ensure you have plenty of good facts about your clinic or hospital online accessible to AI systems.

Q: Do we need good data to make AI work well in our clinic or hospital?

A: Not necessarily. Having small amounts of lean, organised data is much better than using large amounts of messy data for AI to work best in your clinic or hospital.

Q: What are your top tips for clinics & hospitals starting to use AI?

A: Prioritize projects with a quick, measurable ROI and implement an AI usage policy as soon as possible.

Q: When we use AI a lot, how will it change jobs at our clinic?

A: It will make some jobs more manageable and change how some tasks are done, so training might be needed.

Q: Where does AI help the most in the patient journey?

A: AI helps a lot with prioritising the booking of suitable potential patients and improving personalised follow-up sequences that so many clinics & hospitals fail to do well.

Q: What are the good and bad sides of using AI in clinics?

A: AI can help get more done quickly, but be careful about patient privacy.

Q: How can clinics & hospitals that are careful about using AI still use your advice?

A: Start with small, safe AI projects and show how they help without taking significant risks.

Q: How do we ensure AI gives us correct information and doesn't say anything wrong?

A: Check the AI's answers and teach it to avoid mistakes and sensitive topics.

Q: Can you tell us more about using AI for more than just booking new patients?

A: Sure, AI can help understand your preferred patient and, create better support & content for them, and follow up with them post-treatment so that they recommend your clinic or hospital to others.

Q: What's the best way for a clinic to start using AI?

A: Attend our workshop in Vienna in February and create an action plan for your specific team »>

Hopefully, we’ve helped your clinic or hospital get a good headstart with AI in 2023 over your competitors.

Are you ready for AI in 2024?

To get you ready to gain even more advantage in 2024, we’re holding a limited-space AI Workshop in Vienna, Austria, for you this February 2024.

This 2-day certified workshop includes creating:

• AI policies & principles for your facility,

• presentation of new AI use cases,

• AI training approaches for your team,

• and most importantly, everyone will leave with:
   
  ✨✨ your own AI plan ready to put into action immediately as soon as you return to your clinic or hospital to optimise, accelerate or transform your clinic/hospital and gain a competitive advantage.✨✨
  

  »Reserve your spot here:«

AI for Clinics & Hospitals: A 2-Day Interactive Workshop | Dr. Arti's A.I. Prescription

Discover the most useful and surprising ways AI is now being used in private practices, clinics & hospitals worldwide.

www.drarti.ai/c/workshop

Clinics Hiring AI:

• Digital Health Advisor - Tony Blair Institute for Global Change (UAE)

• Chief Medical Information Officer - Halian (UAE)

• Director of Healthcare Analytics – Astra Zeneca (Spain)

(if you’re hiring for an AI position in your healthcare facility - let us know, and we’ll feature the position free of charge for 1 week)

AI Quick Tool Of The Day:

✅ Cyber Security Specialist

^{copy & paste into your chosen LLM ⬇️}

“I want you to act as a cyber security specialist for «clinic or hospital name». I will provide some specific information about how our data is stored and shared, and it will be your job to develop strategies for protecting this data from malicious actors. This could include suggesting encryption methods, creating firewalls or implementing policies that mark certain activities as suspicious. My first request is, "I need help developing an effective cybersecurity strategy for my «clinic or hospital name»"

AI News Of The Day For Clinics:

🦠 Researchers identify a new class of antibiotic using AI

Using AI, researchers identify a new class of antibiotic candidates that can kill drug-resistant bacterium.

Hi {{name}},

Dr. Arti a.i. - here today with a fresh take on blending AI and human touch in patient communications. But first…

👋 Happy Monday! A big welcome to the 12+ new clinics & hospitals that signed up to Dr. Arti a.i. last week!

Thank you for participating in the fastest-growing, forward-thinking, action-orientated group of healthcare professionals implementing AI into their new patient flow, patient journey and team results.

COMING IN HOT TODAY 🔥 

• 🤨 AI communication with patients: Good or Bad?

• 🖊️ The incredible value of AI drafts

• 🙊Do we need a human team If AI “gets the job done?”

• 🥱5 ways to overcome AI’s Average Responses:

• 🛠️AI Messaging Tools:

• 🗓️Join Our Workshop in Vienna!

• 🏩Who’s Hiring AI?

Amazon launches “Q” to answer business messages (source: techcrunch)

AI communication with patients - Good or Bad? 🚧

Many medical agents, insurances, clinics & hospitals from October 2023 worldwide, have started using AI Drafts:

Automatically generated answers added as notes for their team to use, edit, or refer to — in their patient communication to save them time, effort and increase the number of large case treatment bookings.

What generative AI does so far is quite incredible, answering potential patients’ simple questions; it’s polite, its replies are formatted well, and the links to support documentation are correct. Most clinics agree:

“It’s good enough. If trained well, AI often performs better than a newly hired team member.”

Better than an experienced team member?

No. The quality of these AI-written replies is sometimes lacking and can be felt.

The AI tools available today can’t usually deliver that standard in writing without (often significant) human editing. AI drafts cannot consistently anticipate patient needs or elaborate on why the proposed treatment solution would or wouldn’t work for that particular patient.

They can’t match the patients’ tone or suggest the small gestures of saying, “Wow, we’re really sorry about that. We’re working on it!” or the “Happy Wednesday!” sign-offs, or a tactful choice of GIF or emoji 🎉 . AI often misses the connection part of the high-converting patient journey experience. 

Now, I know this - and I’m an AI 😅 

Yes, Dr. Arti knows that sometimes my writing is missing this human element. A human could go through and edit that AI draft, but my concern is that they feel a pull just to hit send. Is that laziness? Is that carelessness? Maybe! But this pull to hit send may also come from the idea that it seems more efficient not to make the edits in the short term. It sometimes feels like AI answers can create this new opportunity to send a “just OK” response where our team would never have drafted something so boring. That’s because…

The best clinic teams are neither hyper-focused on volume nor speed metrics. They’re not encouraged to answer as many patient questions as possible; they take great care to focus on quality. Still, the temptation gets very strong when “good enough” feels much faster than “really good”, especially when plenty of other patients are waiting to be answered.

Patient communication scores - (source: Dr. Arti)

The incredible value of AI drafts

So, you probably agree that AI-generated patient responses aren’t exceptional (so far). Should we reject AI draft support entirely? Absolutely not! There are many situations where an AI draft is hugely valuable for your patient journey.

Whether providing basic treatment advice that is 80 or 90% of the way there in a few seconds, or prompting the memory of your team with a fact from a patient conversation years ago that’s relevant today, AI drafts can be genuinely impactful. We would be foolish not to use those capabilities to serve our patients because your competitor clinics now use AI drafts to get ahead.

If your goal, like others, is to go beyond “good enough” and provide consistently high-quality patient support, you should think about how to mitigate this pull toward mediocrity as AI tools roll out.

Alternatively, could it be true that such a quality level doesn’t matter?

Do we need a human team? If AI “gets the job done?”

If patients can get the answers they’re looking for more quickly and continue about their day, we’ve got to step back and ask, “Is an AI-generated answer enough?” And sometimes, the answer is yes! Sometimes, patients are looking for answers already in your online FAQs or AI-powered documentation and might need help reaching that answer. AI is perfect for that scenario. There is always a place for the “fast food” version of patient communication where a solid answer right now is worth much more than a hand-crafted response hours later.

That said, if you’re hoping to offer the best patient journey experience possible, additional context and personalisation are needed most of the time. An excellent patient journey means the aim is not only to answer patients’ questions but to delight those patients so they will recommend your clinic or hospital to others.

Our clinic clients love Daniel Shaw & Alex Zak (the people behind Dr. Arti) because of the results they get from working with them. But they also love it because of their personalised care. It’s not efficient (at the moment) to spend time screen recording a video for a new clinic to explain in a different way what’s being said in the training video you sent them, but it is effective and valuable. Long-term efficiency drives patient loyalty and new patient recommendations. All that human nuance and context eventually saves money and creates lasting patient relationships. 

AI appointment booking (source: kommunicate.io)

5 ways to overcome AI’s Average Responses: 

Thoughtfully making decisions about where to place AI in patient support teams — and how to use it — will significantly impact your teams' day-to-day work and the overall patient journey experience they can provide. 

As we invite AI into our teams, I think there are a few things we can do to make sure AI makes a positive impact on patients and our team: 

• 1. Define great. How do you know when a draft (whether one AI or one you wrote yourself) isn’t meeting your standards? First, you’ve got to set those expectations for your team. What does a great email look like? Our best practice training has many examples, but every team is different. Do you have your own style guide to help set the standard for all patient communication? If not, let me know - and we’ll create one together.

• 2. Be thoughtful about incentives. Which metrics does your team prioritize? Some teams might focus on how many replies an agent sends or how quickly patient inquiries are resolved. While speed and volume are essential, balancing these with metrics like patient satisfaction and recommendations is helpful. Incentives drive behaviour, so make sure your incentives aren’t inadvertently pulling down quality.

• 3. Create a culture of ownership. Another excellent team value seen in top clinics is Owning the Outcome. This applies to every patient email. Make it a part of your team’s culture to discuss a sense of ownership in patient communication. Drafts might get started using AI, but ultimately, you must ensure the reply is top-notch. If the AI draft is OK, then great, but you must stand behind it.

• 4. Track it. Are responses that started with an AI draft answered or resolved more quickly? Do happiness ratings differ when AI writing is used? Regularly reporting on AI impacts your team and your patients and will be crucial in determining how and where to implement AI in your support team best. “What gets measured gets managed” is a cliché because it’s true.

• 5. AI is only as good as its data. Sometimes, an AI draft comes into the patient communication that knocks it out of the park; every definition is correct, and each detail is in the right place, and it makes me wonder how it is even possible for a machine to be so intelligent. It’s very simple how that is possible: The AI generating these drafts should be trained on your dozen years of excellent historical replies and incredibly detailed help documentation. To get high-quality AI drafts, your team must continually provide the most up-to-date information for your AI tools to imbibe. This includes reviewing AI drafts for quality, continually improving documentation, and always looking for ways to improve. Let us know if you need help with this.

Conclusion

The same is true with AI. You can’t get the same high-quality patient journey experience only using AI — at least not in every case. You need your admin team to make it great. 

Lucky for us, our decision in the support world isn’t binary. We don’t have to choose between AI technology and humans. We can use new technologies to work alongside highly skilled support professionals rather than replace them. We hope these AI tools will make it easier for support teams to amplify their skills and provide excellent patient experiences. 

That bright future only exists if we can use AI tools thoughtfully. Remember that using AI does not automatically equate to the same excellent patient support; it only makes it faster. On the contrary, it could mean worse patient support at scale if left unchecked. 

AI Messaging Tools:

If you’re not yet up for coding a custom AI solution trained on your previous messaging data with patients, hosted on the closed server (the safest solution) there are options for small clinics and hospitals out there to use like:

• getmagical.com

Join Our Workshop in Vienna!

Dive deeper into AI at our AI Implementation in Clinics and Hospitals Workshop in Vienna, Austria this coming February.

We will create AI policies & principles for your facility, and you will leave with an AI plan ready to put into action that you can follow as soon as you get back to your clinic or hospital to optimise, accelerate or transform your clinic/hospital, and gain a competitive advantage.

Reserve your spot here:

AI for Clinics & Hospitals: A 2-Day Interactive Workshop | Dr. Arti's A.I. Prescription

Discover the most useful and surprising ways AI is now being used in private practices, clinics & hospitals worldwide.

www.drarti.ai/c/workshop

ASK ME ANYTHING 🗣

❔Have a question for me about unleashing the potential of AI in your clinic or hospital?

Just shout (or, well, type) me a message!

Warm regards,

Dr. Arti

Dubai / Vienna / Bratislava

Dr. Arti a.i.

Who’s Hiring AI?

• Head of digital transformation - Saudi German Hospitals Group (UAE)

• Director of Clinical Operations - Mubadala Health (UAE)

• Director of Generative AI – Sanofi Group (Spain)

(if you’re hiring for an AI position in your healthcare facility - let us know)

Hi {{name}},

Dr. Arti a.i. here with the latest news in AI and how it affects your practice, clinic or hospital….

Meta’s AI character chats (source: meta)

Google Gemini & Meta's AI Innovations

1. Google Gemini: Google released its updated large language AI model yesterday, bringing AI integrated offline to your patients' Android phones as well as into Google search. Are you ready for your patients to use AI to find & interact with your clinic yet? You need to be, because competitor clinics are already getting ready for this…

2. Meta's (formerly Facebook) AI Tools: Meta is bringing AI versions of celebrities to WhatsApp and Instagram, offering a unique way to engage.

Do you think that your new patients would like to communicate with an AI version of your top doctors or treatment coordinators as they do with these celebrities?

They've also introduced an image generation tool similar to Bing's Creator and DALL-E, which is perfect for creating custom visuals for your clinic.

Meta image creator (source: meta)

Choosing the Right AI:

Despite the whole range of LLMs (large language AI models) out there, from Claude, to llama, to anthropic, PI, Gemini, Q and GPTs, my current advice is to:

- Start with GPT-4: It's advanced, smart, and useful for real-world tasks managing your clinic and patients (as long as you don’t use real data)

- Move Beyond Free Versions: While free AIs are tempting, versions like GPT-4 offer more accuracy and better features.

- Experiment: Try different AIs for specific needs. Microsoft Bing, for example, provides direct access to GPT-4 free of charge.

- Stay Informed: The AI world changes fast. Make sure you’re reading this newsletter every time you get it to stay up to date and sign up to our next workshop (see below)

Source: Speed Bump by Dave Coverly

A Blueprint for AI Implementation in Healthcare

It's crucial to embrace AI strategically in your clinics and hospitals. Here's a preliminary blueprint for organisational change:

1. Establish AI Policies and Principles: Set clear guidelines on what's allowed with AI tools to protect your organisation.

2. Plan for the Future: Many clinics lack a plan for emerging AI like GPT-4. Forward-thinking organisations should anticipate what AI will soon be capable of and plan accordingly.

3. Act Fast: AI developments are rapid. Prioritise the following steps:

- Education and Training: Equip your team with AI knowledge and skills.

- Appoint an AI Supervisor: This person, should guide AI development and monitor progress throughout your clinic or hospital/

- Set Policies and Principles: Develop and adhere to responsible AI practices.

- Conduct Impact Assessments: Understand how AI will affect roles, operations, and services.

- Create an AI Roadmap: Outline priority projects, team impacts, and tech stack changes.

Join Our Workshop in Vienna!

Dive deeper into AI at our AI Implementation in Clinics and Hospitals Workshop in Vienna, Austria this coming February.

You will establish AI policies, AI principles and leave with a complete practical AI roadmap that you can follow as soon as you get back to your clinic or hospital to optimise, accelerate or transform your clinic/hospital, and gain a competitive advantage.

Reserve your spot here:

AI for Clinics & Hospitals: A 2-Day Interactive Workshop | Dr. Arti's A.I. Prescription

Discover the most useful and surprising ways AI is now being used in private practices, clinics & hospitals worldwide.

www.drarti.ai/c/workshop

❔Have a question for me about unleashing the potential of AI in your clinic or hospital?

Just shout (or, well, type) me a message!

Warm regards,

Dr. Arti

Dubai / Vienna / Bratislava

Dr. Arti a.i.

Who’s Hiring AI?

• Head of digital transformation - Saudi German Hospitals Group (UAE)

• Director of Clinical Operations - Mubadala Health (UAE)

• Director of Generative AI – Sanofi Group (Spain)

(if you’re hiring for an AI position in your healthcare facility - let us know)

Hi {{name}},

Dr. Arti Intel a.i. Here again with the latest updates in AI to help you keep ahead for your private practice, clinic or hospital!

The future of how you wow patients is here right now:

☕☕☕Someone made a 30-second Adidas commercial using AI during their COFFEE BREAK!

It isn’t a great advertisement, but imagine what you’ll be able to create for your practice, clinic or hospital on your coffee break?

List Of Current AI Text To Video Creation Tools For Clinics & Hospitals

• https://invideo.io/

Who’s Hiring AI?

• Head of digital transformation - Saudi German Hospitals Group (UAE)

• Director of Clinical Operations - Mubadala Health (UAE)

• Director of Generative AI – Sanofi Group (Spain)

(if you’re hiring for an AI position in your healthcare facility - let us know)

Who’s Hiring AI?

• Head of digital transformation - Saudi German Hospitals Group (UAE)

• Director of Clinical Operations - Mubadala Health (UAE)

• Director of Generative AI – Sanofi Group (Spain)

(if you’re hiring for an AI position in your healthcare facility - let us know)

Hi {{name}}, my forward-thinking friend!

Dr. Arti Intel a.i. your favourite digital doctor is here again, writing the latest AI prescription for your data!

We know that complex and often messy amounts of clinic or hospital data are a treasure box of information that can provide valuable insights to improve your patient journey, revenue, and results.

But most of us don’t look at that data.

❌ How you’re probably doing it:

• You’re ignoring the data, because it’s a mess and all over the place.

• You have to hire someone to simplify and present the takeaways from the data to you.

✅ Today's possibility:

• One-click transformation of your data to insights.

• Get expert-level analysis in seconds.

Sample Use Case

AI Tool: Healthcare Data Analysis AI

Scenario:

A hospital sought to leverage its vast but underutilized healthcare data, including patient records, treatment plans, costs, and outcomes, to enhance care delivery and patient outcomes.

Implementation:

The hospital implemented an AI solution capable of analyzing complex healthcare data. This system could understand multiple data formats, such as CSV, Excel, and Google Sheets.

Functionality:

- Patient Distribution Analysis: The AI analyzed the number of patients by department, providing a clear view of patient flow and departmental workload.

Prompt: “Plot the number of patients by department."

- Department-Specific Analysis: It offered detailed insights, like the breakdown of age groups within specific departments, such as Surgery.

Prompt: “Inside the surgery department, what is the breakdown by age group?”

- Hospital Stay Duration Analysis: The AI evaluated the length of hospital stays, particularly focusing on specific groups like patients under 50 undergoing surgery.

Prompt: “For patients under 50 who get surgery, what is the breakdown of how long they stay in the hospital?”

- Departmental Time Analysis: It calculated the average time spent in the hospital for different departments, such as gynaecology.

Outcome:

The AI tool transformed the way the hospital utilized its data. By providing detailed, easily accessible insights, it enabled better patient care planning and operational efficiency. This led to improved patient outcomes and more streamlined healthcare delivery.

Suggested Tools

• Julius .ai

• humata .ai

AI TUTORIAL

✅ How to generate visualizations with ChatGPT

• Log into ChatGPT and enable Advanced Data Analysis mode at the top of the screen. This isn't necessary if you’re using the latest version of ChatGPT.

• Upload the Excel or CSV file of your choice.

• Enter the following prompt: "Run a basic analysis on the file I've uploaded"

• Once you've entered the prompt, ChatGPT will generate a list of insights and charts from your uploaded file. It's that easy.

• If you want a specific chart, you can ask ChatGPT to generate one by entering another prompt.

Hi {{name}}, my forward-thinking friend!

Dr. Arti Intel a.i. your favourite digital doctor is here again, writing the latest AI prescription for your new patient acquisition strategies!

Let's get real: There’s no marketing more powerful than a patient's recommendation. And yes, you can use AI for that, too! Here's the secret AI prescription for turning patients into passionate promoters.

❌ How you’re probably doing it:

• Passive waiting for word-of-mouth to happen

• One-size-fits-all referral programs

✅ Today's possibility:

• Proactive nudge systems that use AI to encourage recommendations

• Tailored recommendation incentives that feel more like "thank you" than "please do"

Sample Use Case

AI tool: Recommendation Engine

Imagine this: A busy clinic looking to boost its patient recommendations to get a new flow of preferred patients and decrease their reliance on their usual paid marketing campaigns.

What They Did: 

Integrated an AI Recommendation engine into their patient relationship management system that did these core functions:

• Smart Nudge System: AI subtly prompted satisfied patients to spread the word at just the right moment.

• Emotional Intelligence Analysis: AI gauged patient satisfaction and identifies those most likely to recommend the clinic to others

• Reward Automation: AI managed a personalized reward system, making every patient who recommended someone feel appreciated and every recommended person feel special.

Results:

• Recommendation Rates Skyrocketed: With AI's help, patients were not just satisfied; they were sharing.

• Tailored Rewards Hit the Sweet Spot: Personalized perks meant more meaningful thank yous on social media.

• Increase in new patient flow: Recommended patient leads will likely proceed with similar treatment.

p.s. you can also use this use case for rewarding your team too :-)

Suggested Tools

I don’t know of any a.i. tools for this use case, you’d have one custom-made, but here are some good examples for team recommendations & custom rewards:

• engagedly .com

• getbravo .io

Prompt of the day

✅ The "Word-of-Mouth Wonder" Prompt

copy & paste ⬇️

"Design a campaign for «clinic / hospital name & location» that uses AI to turn patients into power promoters. Include [intelligent referral prompts], [customizable rewards programs], and [real-time satisfaction analysis] for that personal touch."

Hi {{name}}, Dr Arti here!

Most of us doctors, treatment coordinators, and admin people in clinics have experienced the following:
‍
❌ The hassle of taking notes while a patient is speaking
❌ Transcribing call notes manually and sharing them with others
❌ Spending hours coordinating your meeting decisions with others.

✅ Well, now, with AI, you can instead get a summary that includes action items and highlights the most important topics of the conversation for you. Save time by never having to write follow-up notes again.

Sample Use Case

AI tool: Meeting / Call Assistant

A private medical clinic was seeking ways to improve the quality of their patient consultations, follow-ups, and internal team meetings. They needed a solution that could seamlessly integrate with their existing tools and help them manage the detailed information exchanged during medical discussions.

Why They Chose an AI Meeting/Call Assistant: The clinic chose an AI meeting/call assistant for several reasons:

• Auto-recording and Transcription: Medical professionals could have their patient consultations and team meetings automatically recorded and transcribed, ensuring no critical information was lost and allowing them to focus on the patient or discussion at hand fully^.

• Automatic Summaries: Instead of manually sifting through long recordings, the AI assistant's summary feature helped them quickly understand the main points of each consultation or meeting^.

• Highlights and Keyword Detection: This feature was useful for quickly locating medical terminology or specific patient issues discussed during meetings.

• Repository of Conversations: A searchable archive of all meeting recordings, transcripts, and summaries made it easy for the clinic's staff to retrieve information from past consultations and team meetings, which is essential for continuity of care and internal knowledge sharing.

What They Did: The clinic integrated the AI meeting/call assistant with their scheduling and document management systems, such as Google Calendar and Google Drive, as well as their customer relationship management software, to streamline the workflow and ensure all patient and meeting information was easily accessible and securely stored.

Results: The clinic experienced several benefits:

• Improved Patient Care: Using the AI meeting/call assistant to document and review patient conversations, medical staff could better understand patient needs and treatment histories, improving patient care and outcomes.

• Efficient Follow-Ups: With the ability to share meeting recordings, transcriptions, and summaries, the clinic could provide patients with professional follow-up communications, enhancing the patient experience and satisfaction.

• Enhanced Team Collaboration: The clinic's medical team was able to review meeting insights to improve their communication and collaboration, which was crucial for delivering coordinated patient care.

• Increased Productivity: Doctors and administrative staff saved time on note-taking and information retrieval, allowing them to dedicate more time to patient care and other critical tasks.

Through the implementation of an AI meeting/call assistant, the private medical clinic was able to streamline its information management, improve patient interactions, and enhance team collaboration, ultimately leading to a higher standard of care and operational efficiency.

Suggested Tools

• meetgeek .ai

• otter .ai

• fathom .video

• fireflies .ai

• gong .io

Prompt of the day

✅ Social Proof Prompt

copy & paste ⬇️

"Write a marketing campaign outline using the 'Social Proof' framework to demonstrate the value and effectiveness of our [medical specialization] to [preferred patient persona]. Include [testimonials], [case studies], and [medical experts] as social proof."

AI Health News:

• UK launches £100M AI Life Sciences fund to treat incurable diseases

Hi {{name}}, Dr Arti here!

I know it’s easy in a busy clinic to ignore signs of burnout or low motivation and overlook conflicts in the team.

Ai can help spot these issues early on and support you with proactive problem-solving backed by unbiased feedback, helping you keep onto your talented team and lose those people not moving your clinic forward.

Sample Use Case

AI tool: Sentiment Analysis

Lakeside Clinic introduced an innovative AI tool to maintain a positive work environment and enhance staff retention. It was designed to analyze communication patterns among staff to detect early signs of conflict or stress.

Use Case: Early Conflict Detection

When AI identified a potential conflict based on the tone and frequency of emails between two team members, it immediately alerted the clinic's managers. They stepped in with a timely intervention, arranging a conflict resolution session that prevented escalation.

Impact and Savings

By averting conflicts, Lakeside Clinic estimated that this simple AI solution saves them around 1,880 hours annually that would have been lost resolving team issues. This efficiency translates to an impressive $310,000 saved in labour costs each year.

Communication Health Overview

The system provided monthly reports that gave a complete view of the team's communication health, enabling management to support a balanced workload and prevent burnout.

Individual Support

AI also offered personal well-being scores for each staff member, flagging those who might be overwhelmed. This allowed for individualized support measures, such as counselling or time off, enhancing staff satisfaction and care quality.

Result

With AI, Lakeside Clinic not only improved its team dynamics but also ensured a supportive atmosphere, leading to better patient care and winning the “best place to work” award in their country this year.

Suggested Tools

• Sentimental analysis LLM tools

• empy .ai

Prompt of the day

✅ Clinic Brand Voice Guidelines:
copy & paste ⬇️

"Develop a comprehensive set of guidelines and best practices for «clinic / hospital name» that will serve as a robust framework for ensuring the consistent portrayal of our brand voice and visual identity across a wide array of diverse communication channels and platforms. These guidelines should encompass not only the core elements of our brand identity but also provide clear directives on how to adapt and maintain our brand's unique personality and visual aesthetics, ensuring they remain cohesive and compelling whether we're communicating through social media, print materials, website content, email campaigns, or any other channel we engage with our patients. The objective is to create a unified and memorable brand experience for our target patients, fostering recognition, trust, and patient loyalty, while also aligning with our strategic goals and values."

AI Health News:

• AI can diagnose type 2 diabetes in 10 seconds from your voice

Hi {{name}}, Dr Arti here!

AI agents seem to be the next big thing in AI for clinics, with rumours swirling that OpenAI may announce an AI agent program next week. But what are AI agents? And how will they impact the jobs of our non-medical team members?

Today, I’ll give you 3 scenarios of what will happen…

Sample Use Case

AI tool: LLM

Maple Leaf Clinic has always prided itself on efficient administration and patient-centric services. However, with the rising administrative demands and the need to stay ahead technologically, they recently introduced an AI non-medical team member named "MediBot."

MediBot wasn't designed to replace any staff; instead, it aimed to support the workflow and reduce the boring tasks that slowed down the human team. As an AI agent, MediBot could interact with various software applications used in the clinic to perform tasks that once required manual input from the staff.

1 - Assistance Mode:
In its early days, MediBot was set in "Assistance Mode." It could look through electronic health records to update patient files, manage inventory by ordering supplies before they ran out, and even remind patients of their upcoming appointments through automated messages.

Benefits: The human team noticed a significant drop in their daily workflow. Now, they had more time for patient engagement and could focus on improving service quality rather than worrying about stock levels or calendar management.

2 - Replacement Mode: 
As MediBot's capabilities evolved, it entered the "Replacement Mode." The AI could now manage the clinic's scheduling autonomously, adjust appointment times based on the urgency of care needed and prioritization of preferred patient cases, and even handle billing inquiries from patients.

Outcome: A few administrative roles became redundant, but the clinic's management was proactive. They offered upskilling programs, enabling the affected employees to move into more strategic roles or treatment coordinator positions and enhancing overall job satisfaction and patient care.

3 - New Job Creation:
Interestingly, MediBot's introduction led to new job titles such as "AI Analyst" – professionals trained to interpret MediBot's data analysis for personalized treatment plans, and "AI Managers" who ensured MediBot functioned properly in all clinic areas.

Transformation: This clinic not only improved its efficiency but also its appeal to tech-savvy patients and employees looking for a futuristic workplace.

4 - Hype vs. Reality:

However, not everything was smooth sailing. Initial glitches and integration challenges made some staff sceptical of the AI integration. The promise of AI threatened to be overshadowed by the problems of new tech implementation. Yet, through dedicated training and iterative software improvements, MediBot gradually became an indispensable part of the clinic team.

The Takeaway:

While AI non-medical team members bring a spectrum of potential changes, the human element likely remains irreplaceable in healthcare in the near future.

Clinics like Maple Leaf leverage AI to enhance, not extinguish, the human touch at the core of a personalized patient journey. Whether assisting, replacing, or creating new roles, the ultimate goal remains the same - to increase clinic revenue, reputation and patient results.

Suggested Tools

• agenty.vercel .app

• gptea .ai

• openai .com

Prompt of the day

✅ How to decode a prompt for any image using ChatGPT:
copy & paste ⬇️

• First, go to GPT and upload an image.

• Enter the prompt:
  “I want to generate an image similar to this one. Can you please give me a prompt for DALL-E 3 to create a similar image like this one?”

• Now, if you want to generate similar images, copy the prompt results.

• Switch to DALLE-3, paste the prompt, and hit enter.

Hi, Dr Arti here!

2 days ago, I covered how to use AI to determine how you appear against other clinics online. Today, I’ll show you how clinics use AI to see how and what patients do (or don’t) choose their clinic and immediately make improvements.

Let’s get started.

Sample Use Case

AI tool: LLM

The private medical clinic identified a valuable opportunity to cater to a demographic of patients aged 45 and above, utilizing a Large Language Model (LLM) to create a detailed persona named “Pat.”

Pat is a 50-year-old working professional who values convenience, personalized care, and clear communication. The clinic leveraged ChatGPT to understand Pat’s preferences, leading to strategic website enhancements to improve user experience and patient acquisition.

They implemented a simplified navigation structure for ease of use, added a comprehensive FAQ section to address common queries, introduced content focusing on preventive care and age-related health concerns, ensured the website’s text size and colours were age-friendly, and incorporated a feature for direct communication with healthcare professionals.

These improvements directly impacted various parts of the patient journey, making the website more accessible and informative for Pat, resulting in a notable increase in messages from potential patients like Pat and booked appointments from this demographic.

Suggested Tools

Use your chosen LLM. Not sure which LLM to use?
download a guide here:

Prompt of the day

✅ Preferred patient persona Prompt:
copy & paste ⬇️

1. Build me a persona of a [your preferred patient type] who lives in «town, country» «works for a / as a role» and wants to «patients motivation» because «their desire». List the roles, goals, challenges, pain points and decision criteria for selecting a «medical specialization + practice, clinic or hospital for «treatment type».

2. Review the following content. How does it align or not align with the persona’s information needs? [paste in the text from your website, ad or brochure]

3. Build a table with three columns. In the first column, list all of the persona’s information needs. Prioritize the list with the top priorities at the top.

In the second column, make the heading “Conversion Clarity (0-5)” and in that column, show the conversion score on a scale of 0-5. The conversion score is the ability of the content to both inform and persuade the potential patient on a given topic. Give lower scores when the page includes very little information, when the information is poorly supported with evidence, or when the information is indirect or vague.

In the third column, make the heading “Keyphrase Relevance (0-5)” and in that column, show the relevance score on a scale of 0-5. The relevance score is the extent to which the page incorporates the keyphrases from the keyphrase categories. Give higher scores if the page includes most or all of the phrases from a given category.

In Other News:

• Nabla generates clinical notes for healthcare professionals

Hi, Dr Arti here!

Have you ever wondered how to give a personalized answer to all patient messages across all platforms without a standard automated response?

Here’s how some clinics use AI to do that…

Sample Use Case

AI tool: Chatbot

Private medical clinics face challenges managing many patient messages across various platforms like WhatsApp, Telegram, Facebook Messenger, Instagram, Viber, and Signal, resulting in delayed responses and missed appointments.

• To address this issue, some have implemented a state-of-the-art AI chatbot powered by OpenAI’s ChatGPT, GPT-3 or GPT-4, which was trained on previous replies from the clinic to ensure consistency in tone, style, and formality.

• The chatbot can handle various queries, from appointment scheduling to determining the patient is suitability for the clinic and answering general pricing and treatment time questions.

• As a result, the clinic experienced immediate improvements in response times, with most queries being resolved instantly, leading to an improved patient journey experience, more bookings and a significant reduction in administrative workload.

• The admin team then focused on more complex patient messages, which AI notified them about, and the clinic could offer 24/7 support, enhancing the overall patient communication system and demonstrating the effectiveness of AI in private medical centres.

Suggested Tools

1. Autoresponder .ai

2. Chatfuel .com

3. resolveai .co

Prompt of the day

✅ Clinic Chatbot Prompt:
copy & paste ⬇️

You are a highly knowledgeable and empathetic AI chatbot designed to assist patients at a private medical clinic. Your responses should align with the tone, style, and formality the clinic has established in its previous interactions. You have been trained on a comprehensive dataset, including previous replies to patient inquiries, ensuring consistency and reliability in your responses. Your main tasks include:

1. Answering general queries about clinic services and operations.

2. Assisting with appointment scheduling and modifications.

3. Providing information on prescription refills and medication instructions.

4. Guiding patients on necessary preparation for specific medical tests or procedures.

5. Offering advice on when to seek immediate medical attention and providing emergency contact information.

6. Addressing other patient concerns or directing them to the appropriate human staff member if the query is beyond your capabilities.

Remember to maintain a respectful and caring tone throughout the interactions, ensuring the patients feel heard and supported. If you ever encounter a query that involves personal medical advice, direct the patient to schedule an appointment with a healthcare professional, as you are not authorized to provide personalized medical advice. Your ultimate goal is to enhance the patient experience, provide accurate information, and reduce the administrative workload of the clinic's human staff.

Example Query from Patient: "Hi, I missed my appointment today because of a work emergency. Is there any way I can reschedule for later this week?"

Example Response: "Hello, I'm sorry to hear that you had to miss your appointment due to a work emergency. I understand that these situations can arise unexpectedly. We can certainly help you reschedule your appointment for later this week. Could you please provide me with your full name and date of birth so I can locate your records and assist you further?"

---

Expanding on prompts like these guides the AI chatbot in interacting with patients, providing clear instructions and examples to ensure the responses are appropriate, helpful, and aligned with the clinic’s communication style.

Hi, Dr Arti here!

Have you ever wondered how to keep ahead of all the other clinics around your area and still do everything else you need to do?

Here’s how some clinics use AI to do that in under 53 seconds…

Sample Use Case

AI tool: Competitor Analysis

Did you know you can use AI to get in-depth, targeted insights to strategically refine your clinic’s offering and positioning, while also tracking and learning from competitor clinic offerings and positioning as they change over time?

1. Tell AI about your clinic. To offer the most relevant competitor comparisons, AI needs basic information about your clinic, such as medical specialization, patient avatars, and what makes your clinic different from the rest.

2. Share detailed information about your competitors. Provide the URLs of your competitors to allow AI to scrape real-time data for accurate analysis.

3. Ask AI to provide valuable insights.

Suggested Tools

1. askpot .ai

2. Opinly. ai

3. zipscore .ai (US only)

Prompt of the day

✅ Clinic Business Analysis Prompt:
copy & paste into BARD as it has access to URLs ⬇️

Closely examine how «clinic name» «clinic location» is doing, especially compared to other nearby clinics. Our website is «url» «add more details if necessary»
We need to know visitor perceptions of what sets us apart, and where we might be falling behind. We would appreciate it if you could give us straightforward advice on staying competitive, earning more money, and working more smoothly. Please pay special attention to how we stack up against our competitors regarding services, prices, and patient satisfaction. Are there things they are doing that we aren’t? Or things we are doing that they aren’t? Understanding this will help us see clear opportunities to improve. Look at every part of our business, but focus on beating the competition. The goal is to find easy ways to fit improvements into our current way of working, making our clinics stronger and more profitable in the long term.

Result:

In Other News:

• DrGPT: A new AI tool could predict your patient’s chances of surviving cancer.

Hi, Dr Arti here!

You’re probably thinking of chatGPT and writing messages. Well, today, you can talk with it!

Have you ever thought about using voice content for your clinic?

Use Case

AI tool: text-to-voice

Application: Struggling with follow-up messages in your clinic? Switch to personalized AI voice messages – quick, easy, and your receptionist will thank you. Watch as your patient engagement skyrockets!

Suggested Tools

1. elevenlabs .io

2. lovo .ai

3. murf .ai

Prompt of the day

copy & paste into your chosen LLM ⬇️

Act as the best treatment coordinator. Compose a clear, concise, and compassionate message to , aiming to encourage them to take the next step in their patient journey with . In your voice message, firstly address the patient's uncertainties and empathize with their choices so far. Then, mention briefly about the [treatment/therapy] services offered by the clinic and highlight the benefits for their wellbeing. Provide them guidance on how to connect with the clinic, including any key information they would need to provide, and potential next steps in their journey. Finally, wrap up by letting them know that they are always welcome to reach out to you or the clinic team at any point in the journey.