Microsoft has launched Copilot Health, said to provide users the ability to bring together data from across their health records, wearables, and lab results, applying intelligence to turn insights into “a coherent story”.
Copilot Health is positioned to support people understand the information they have, part of a “secure space within Copilot where medical intelligence makes sense of your information and delivers personalised health insights that you can act on”.
With Copilot Health, users will be able to record activity levels, sleep patterns, vital signs, visit summaries, medication lists, and test results from more than 50 wearable devices and health records from over 50,000 US hospitals and health providers. AI is then used to identify patterns in health data, reportedly surfacing proactive and actionable insights.
“This work paves the way to providing users with trusted access to medical superintelligence – health AI that can ultimately combine the wide-ranging knowledge of a general physician, with the depth of a specialist,” Microsoft shares. “At every step, new AI features drawing on these capabilities will only be released into Copilot Health after rigorous clinical evaluations and with clear labelling.”
Sharing that its consumer products already respond to more than 50 million health questions per day, Microsoft states that it has been working to improve the quality and reliability of answers, including citations and links to source materials, and “expert-written answer cards” from Harvard Health.
Taking to LinkedIn to announce the launch, Microsoft AI CEO Mustafa Suleyman said: “Copilot Health is launching first in the US to adults over 18, but we ultimately want to make this service available to the billions of people around the world who struggle to access reliable medical advice. Please give it a go and sign up to join the early Copilot Health community and help shape what comes next.”
Wider trend: AI in health and care
HTN was joined for a deep dive into AI strategy, implementation, adoption, and opportunities by Neill Crump, group associate director of innovation & partnerships at The Dudley Group and Sandwell and West Birmingham, and Pip Hodgson, group digital transformation specialist at University Hospitals of Leicester and Northamptonshire. Our panel discussed their organisation’s approaches to AI and AI strategy, best practices in AI strategy development, Ambient Voice Technology and successful implementation, and the opportunities likely to be ahead with the next wave of AI.
A study funded by the National Institutes of Health has developed an AI tool offering clinical decision support to clinicians by predicting patients at risk of intimate partner violence from data collected during medical visits. Whilst not intended for making “definitive diagnoses”, researchers suggest the tool could be used in a proactive approach to IPV intervention, improving long-term health outcomes for at-risk patients. Next steps include the development of a decision support tool to be embedded within EHRs offering real-time IPV risk evaluations in clinical settings, National Institutes of Health shares.
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