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Making EHR documentation painless: the role of AI

Shared by Radhika Narayanan | 0 0 0 | about 6 days ago

Use of electronic health record (EHR) is strongly associated with dissatisfaction and burnout among physicians. This is not surprising as they spend 34-55 percent of their work day creating notes and reviewing medical records in the EHR, which is time diverted from direct patient interactions. EHR developers should look at informatics solutions to ease documentation, according to a commentary in the journal Mayo Clinic Proceedings, noting that artificial intelligence (AI) could help with automating documentation.”Because writing and reviewing notes takes up 78 percent of all physician interactions with EHRs, we believe that these solutions should be designed around the process of note creation,” write Steven Y. Lin, MD (Stanford University School of Medicine) and co-authors in the commentary. Dr. Lin et al. say speech recognition and natural language processing technology can support the creation of notes in real time by listening in on patient-physician conversations. AI can collect, sort, and assemble clinical information from multiple sources (e.g., previous notes, laboratory results, radiology reports, pharmacy records) faster than humans. “During the note creation process, AI-enhanced decision support software can analyse a note’s content and provide real-time evidence-based recommendations to physicians (e.g., differential diagnosis, suggested evaluation, treatment guidelines) using dynamic clinical data mining,” the commentary says. “Risk scores such as atherosclerotic cardiovascular disease to guide statin treatment, or CHA2DS2-VASc to guide anticoagulation decisions, can be calculated as part of note creation to augment clinical decision making.”

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