earlier this month describes the use of artificial intelligence for something novel: helping sort through scores of messages from patients to their physicians. In this study, researchers worked with the Kaiser Permanente Northern California Research Determination Office to deliberate how AI and natural language processing algorithms can help label message content and sort patient messages to improve the workflow and process of clearing physician inboxes.
Why is this important? With the wide-spread adoption of electronic health records and with more healthcare systems providing their patients with online portal services, the volume of patient messages to physicians has sky-rocketed.
Dr. Hill admits, however, that these systems are far from being flawless and require human validation: “AI itself is a great tool, but it is not perfect. There are times when it does make mistakes…That is why you must make sure that you have a human reviewing these messages.” Indeed, given how immature this technology is and how much clinical validation is still required, the quickly growing AI industry has coined the phrasefor this very reason. As these systems are capable of significant hallucinations , it is essential to proceed with them cautiously and have human validation of all results and steps. Especially given that these systems are increasingly being leveraged in administrative contexts that have real impact, accuracy and consistency are crucial.
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