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AI is spawning new models of care, not just cars

AI is making it possible for people to interact with smart devices and tools that anticipate needs and share knowledge in ways that save time, improve the experience or enhance decisions. We may not realise it’s all around us whether we’re searching the internet or being offered articles specific to our interests. In healthcare, AI shows great promise in helping clinicians deliver better and more personalised patient care.

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Machine learning and artificial intelligence (AI) have already seen some successes in self driving cars, smart homes and manufacturing that we used to believe could only happen in our fantasies. These technologies are pushing the limits of innovation, and raising expectations with every passing day. It’s exciting to think of the potential AI holds for empowering patients to manage their health more actively and successfully outside of a hospital, and for bringing clinicians closer to their patients.

Working at Nuance, I see breakthroughs in AI technology every day, from giant leaps in the accuracy of speech recognition and language understanding to proactive consumer engagement or conversational assistants that provide communication, critical thinking and support for clinicians providing patient care, charting or placing orders. AI powered computer-assisted clinical documentation went from being relatively unknown or understood to something clinicians are seeking as a tool to help give them back time in their busy days.

I believe in the next two years, AI will follow the same path as the cloud in the healthcare industry. Once feared particularly by healthcare administrators, cloud technology is now widely accepted and sought after because cloud-based solutions are light and easy to deploy, and offer clear benefits to both IT staff and end users. It helps caregivers and information move with patients while adhering to tight requirements for security and privacy of personal health information (PHI) of patients. AI in medicine has its own hurdles to overcome, but nobody really believes that machines will replace clinicians. A self-service model where patients are more actively involved in their own care is on the horizon, and clinicians need more visibility to patients’ adherence and health to support it.

AI technologies, which are helping clinicians with difficult or repetitive tasks today, are poised to do much more and deliver even greater clinical decision support in the exam room and in the patient’s home where information needs to flow to close the loop of care.

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