PT Inquest is an online journal club. Hosted by Jason Tuori, Megan Graham, and Chris Juneau, the show looks at an article every week and discusses how it applies to current physical therapy practice.
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Sisällön tarjoaa Sean P. Kane, PharmD, BCPS, Sean P. Kane, and PharmD; Khyati Patel. Sean P. Kane, PharmD, BCPS, Sean P. Kane, and PharmD; Khyati Patel tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
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181 - From Meds to Machine Learning: How AI is (and will) Revolutionizing Pharmacy Practice
MP3•Jakson koti
Manage episode 412812835 series 2391262
Sisällön tarjoaa Sean P. Kane, PharmD, BCPS, Sean P. Kane, and PharmD; Khyati Patel. Sean P. Kane, PharmD, BCPS, Sean P. Kane, and PharmD; Khyati Patel tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
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)
199 jaksoa
181 - From Meds to Machine Learning: How AI is (and will) Revolutionizing Pharmacy Practice
HelixTalk - Rosalind Franklin University's College of Pharmacy Podcast
MP3•Jakson koti
Manage episode 412812835 series 2391262
Sisällön tarjoaa Sean P. Kane, PharmD, BCPS, Sean P. Kane, and PharmD; Khyati Patel. Sean P. Kane, PharmD, BCPS, Sean P. Kane, and PharmD; Khyati Patel tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
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)
199 jaksoa
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