181 - From Meds to Machine Learning: How AI is (and will) Revolutionizing Pharmacy Practice

HelixTalk - Rosalind Franklin University's College of Pharmacy Podcast

Sean P. Kane, PharmD, BCPS

Health & Fitness, Medications, Rosalindfranklin, Rfums, Pharmacy, Pharmd, Pharmacist, Medicine, Drugs

5 • 644 Ratings

🗓️ 16 April 2024

⏱️ 45 minutes

🔗️ Recording | iTunes | RSS

🧾️ Download transcript

Summary

In this episode, we discuss artificial intelligence large language models (LLMs) and how these will impact the future of the practice of pharmacy.

Key Concepts

Generative AI with large language models (LLMs) have already changed how healthcare is delivered to patients. In the future, these changes will be more substantial and require pharmacists and other healthcare professionals to understand the benefits and downsides of this technology.
Commercial LLMs, such as ChatGPT, are not HIPAA compliant and should not be used with protected health information. Companies currently offer software products that are HIPAA compliant and can integrate directly into electronic health records in a HIPAA-compliant manner.
Currently, most commercial use cases of LLMs for healthcare providers focus on expediting or simplifying the documentation process (e.g. generating a first draft of a progress note or summarizing a patient encounter from an audio recording).
In the future, LLMs will be used to perform a variety of clinical tasks, including drug interaction checking, renal dose adjustments, duplication of therapy, and even the appropriateness of a patient’s drug regimen for a given medical condition. These clinical tasks will almost certainly be done as a “first pass” to highlight or flag specific aspects of a patient’s chart and will then be reviewed by a licensed (human) healthcare provider as a final check prior to clinical decisions being made.

References

Large Language Models (LLMs) referenced in the episode: https://chat.openai.com, https://coral.cohere.com, https://claude.ai, https://gemini.google.com.
Prompt Engineering Guide (https://www.promptingguide.ai/techniques)
OpenAI - Prompt engineering (https://platform.openai.com/docs/guides/prompt-engineering/six-strategies-for-getting-better-results)

Transcript

Click on a timestamp to play from that location

0:00.0	Welcome to Helix Talk, an educational podcast for healthcare students and providers covering real-life clinical pearls, professional pharmacy topics, and drug therapy discussions.
0:11.0	This podcast is provided by pharmacists and faculty members at Rosal Franklin University College of Pharmacy.
0:17.0	This podcast contains general information for educational purposes only. This is not professional
0:22.4	advice and should not be used in lieu of obtaining advice from a qualified health care provider.
0:27.2	And now on to the show. Welcome to Helix Talk episode 181. I'm your co-host Dr. Kane.
0:36.0	You're not Dr. Patel. And the title of today's episode is,
0:38.7	from meds to machine learning, how AI is and will revolutionize pharmacy practice. So Dr. Patel,
0:44.9	today we're obviously talking about things like chat GPT and how AI and large language models or
0:50.4	LLMs are already making an influence on how health care is delivered to patients and what
0:55.7	will or is the role of the pharmacist given that we have this new technology out there.
1:00.6	So aside from using a little bit chat GPD here and there, I have no experience on what
1:05.8	happens behind the scenes and how AI thinks and generates responses. So I am here to learn along with
1:12.4	our listeners here today. But to kind of set the stage, Dr. Kane, like, why is it important
1:17.8	for student pharmacist or currently practicing pharmacists to learn about AI?
1:22.6	Well, Dr. Patel, if I told you that I had a tool, right, like a calculator that could improve patient care,
1:28.8	I think most people would be interested in being able to use that tool.
1:32.2	And that's exactly what AI is.
1:33.6	It's a way that is a co-pilot or a tool that can extend the services of a provider and make
1:40.1	the quality of those services better.
1:42.8	We're already seen lots of healthcare systems integrating
1:46.8	AI, companies, pharmacies. It's already happening and it's going to happen more and more as
1:51.8	the technology becomes more available and it's already pretty inexpensive. It's going to become
	...

Please login to see the full transcript.

Previous episode | Next episode

Disclaimer: The podcast and artwork embedded on this page are from Sean P. Kane, PharmD, BCPS, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of Sean P. Kane, PharmD, BCPS and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.