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- Page navigation anchor for RE: Considerations for use of artificial intelligence for PVPRE: Considerations for use of artificial intelligence for PVP
Artificial intelligence undoubtedly has the potential to transform medicine by improving healthcare practice and outcomes with a variety of tools(1). Predictive analytics tools can use electronic health record (EHR data) to determine patients’ risk for hospitalization or deterioration which can help hospitals effective triage and allocate limited resources. Furthermore, AI can diagnose diseases by detecting patient health variables in wearable devices or analyzing radiographs and pathology images. Ideally, these AI tools can accelerate clinical decision making and improve clinical workflow because they can be more accurate and reliable than humans, but the use and development of AI tools pose numerous ethical concerns, which explains their limited use in clinical practice (1, 2).
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As explored in this paper, AI can be used for automation of pre-visit planning (PVP), which can benefit patients and clinicians. PVP on its own is important for helping physicians prioritize patient needs to provide better care while saving time. AI tools can leverage machine learning (ML) techniques to support PVP, such as identifying care gaps, sending appointment reminders, and processing pre-appointment questionnaire. However, these AIML tools for PVP, along with many other AIML tools used in medicine, are not validated in real-world settings and/or published in peer-reviewed journals, making it difficult to assess clinical utility across various healthcare settings (1, 3). Additionally,...Competing Interests: None declared.