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

HelixTalk - Rosalind Franklin University's College of Pharmacy Podcast

内容由Sean P. Kane, PharmD, BCPS, Sean P. Kane, and PharmD; Khyati Patel提供。所有播客内容（包括剧集、图形和播客描述）均由 Sean P. Kane, PharmD, BCPS, Sean P. Kane, and PharmD; Khyati Patel 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

10M ago 45:23

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

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

201集单集

237 subscribers

published 10M ago

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

201集单集

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