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3 ways AI is revolutionizing how health organizations serve patients Can LLMs like ChatGPT help?

Machine learning and AI are transforming medical treatment involving functionality, diagnostics, and more. Meanwhile, large language models like ChatGPT are still in the early stages.

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User-unfriendly EHRs pose serious risks to patient safety

Electronic health records that deliver suboptimal user experience are more likely to lead to alert fatigue and less likely to catch errors that could impact hospital safety, University of Utah Health research shows.

David classenDavid batesAviation administrationUniversity of utah healthUniversity of california san diego healthCalifornia san diegoFederal aviation administration

Hard-to-use EHRs may result in patient harm

Hard-to-use EHRs may result in patient harm
healthcarefinancenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from healthcarefinancenews.com Daily Mail and Mail on Sunday newspapers.

David classenUniversity of utah healthNorthwestern universityAviation administrationUtah healthFederal aviation administration

When electronic health records are hard to use, patient safety may be at risk

When electronic health records are hard to use, patient safety may be at risk
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United statesSan franciscoUniversity of california san diegoDavid classenDavid batesUniversity of californiaAviation administrationUniversity of utah healthUniversity of california san diego healthPublic healthCalifornia san diego healthFederal aviation administration

EHR difficulties lead to poor safety performance

Research from University of Utah Health finds that difficult-to-use EHR systems are less likely to detect medical errors, leading to potential patient safety risks.

David classenUniversity of utah healthSalt lake university of utah healthSalt lake city based universityUtah healthMedical errorsUser satisfactionSafety testsRug drug interactionsAtient allergiesUplicate orders