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- Blease, Charlotte, et al.
(författare)
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Generative Language Models and Open Notes : Exploring the Promise and Limitations
- 2024
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Ingår i: JMIR Medical Education. - : JMIR Publications. - 2369-3762. ; 10
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Tidskriftsartikel (refereegranskat)abstract
- Patients’ online record access (ORA) is growing worldwide. In some countries, including the United States and Sweden, access is advanced with patients obtaining rapid access to their full records on the web including laboratory and test results, lists of prescribed medications, vaccinations, and even the very narrative reports written by clinicians (the latter, commonly referred to as “open notes”). In the United States, patient’s ORA is also available in a downloadable form for use with other apps. While survey studies have shown that some patients report many benefits from ORA, there remain challenges with implementation around writing clinical documentation that patients may now read. With ORA, the functionality of the record is evolving; it is no longer only an aide memoire for doctors but also a communication tool for patients. Studies suggest that clinicians are changing how they write documentation, inviting worries about accuracy and completeness. Other concerns include work burdens; while few objective studies have examined the impact of ORA on workload, some research suggests that clinicians are spending more time writing notes and answering queries related to patients’ records. Aimed at addressing some of these concerns, clinician and patient education strategies have been proposed. In this viewpoint paper, we explore these approaches and suggest another longer-term strategy: the use of generative artificial intelligence (AI) to support clinicians in documenting narrative summaries that patients will find easier to understand. Applied to narrative clinical documentation, we suggest that such approaches may significantly help preserve the accuracy of notes, strengthen writing clarity and signals of empathy and patient-centered care, and serve as a buffer against documentation work burdens. However, we also consider the current risks associated with existing generative AI. We emphasize that for this innovation to play a key role in ORA, the cocreation of clinical notes will be imperative. We also caution that clinicians will need to be supported in how to work alongside generative AI to optimize its considerable potential.
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| 2. |
- Blease, Charlotte, et al.
(författare)
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Psychiatrists' experiences and opinions of generative artificial intelligence in mental healthcare : An online mixed methods survey
- 2024
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Ingår i: Psychiatry Research. - : Elsevier. - 0165-1781 .- 1872-7123. ; 333
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Tidskriftsartikel (refereegranskat)abstract
- Following the launch of ChatGPT in November 2022, interest in large language model (LLM)-powered chatbots has surged with increasing focus on the clinical potential of these tools. Missing from this discussion, however, are the perspectives of physicians. The current study aimed to explore psychiatrists' experiences and opinions on this new generation of chatbots in mental health care. An online survey including both quantitative and qualitative responses was distributed to a non-probability sample of psychiatrists affiliated with the American Psychiatric Association. Findings revealed 44 % of psychiatrists had used OpenAI's ChatGPT-3.5 and 33 % had used GPT-4.0 "to assist with answering clinical questions." Administrative tasks were cited as a major benefit of these tools: 70 % somewhat agreed/agreed "documentation will be/is more efficient". Three in four psychiatrists (75 %) somewhat agreed/agreed "the majority of their patients will consult these tools before first seeing a doctor". Nine in ten somewhat agreed/agreed that clinicians need more support/training in understanding these tools. Open-ended responses reflected these opinions but respondents also expressed divergent opinions on the value of generative AI in clinical practice, including its impact on the future of the profession.
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