How artificial intelligence changes healthcare jobs

Human interaction is the core of good healthcare. Because of this, the risk of job loss due to AI automation in healthcare is low when compared to many other industries. The McKinsey Global Institute estimates that only about 36 percent of healthcare activities can be automated with current technologies. The potential for automation is even lower for professionals whose daily activities require expertise and direct contact with patients. Instead of replacing people, AI can give nurses, executives, and clinicians more time to authentically connect with patients and provide more personalized care.

AI jobs in healthcare - more and less

In healthcare, AI can shift the job focus from administration to authentic human connection and personalized care.

Nurses spend a lot of time collecting health information and pouring through data from electronic medical records and patient monitors. When AI is used, for example to spot patients who may have problems with recovery, nurses can spend less time searching for the right care and more time providing patients with specialized care. They could also spend more time caring for individual patients and engaging families, friends and communities. Nurses could even spend more time caring for themselves—reducing both burnout and turnover.

Healthcare leaders spend a lot of time making sure the hospital’s day-to-day operations run smoothly.  When AI is used, for example to forecast admissions and plan staffing, administrators can spend less time managing hospital operations and more time improving care for entire populations. Executives can spend more time creating chronic disease management programs and community outreach initiatives like volunteer medical projects for underserved people.

Physicians spend a lot of time learning how best to treat the individual patients they serve. But when AI is used to learn from millions of patients and advise doctors on diagnosis and treatment, doctors can spend less time searching for the most effective treatment and more time applying it. AI can transform personalized care by eliminating the need for physicians to rediscover lessons learned.

Healthcare organizations will have to solve the problems of digitizing the patient—collecting, sharing, and protecting data. Healthcare is also under pressure to treat an aging population and address rising costs. It’s possible that AI could be used just to drive down cost and cycle through more patients. However, administrators, physicians, nurses and patients are eager for technologies that can improve the quality of care. For healthcare organizations that learn to cooperate and unite fragmented data systems, AI can shift healthcare jobs from administration to authentic human connection and personalized care.

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