Here Is How Artificial Intelligence Will Change Healthcare As We Know It
In Star Wars: The Empire Strikes Back, Luke Skywalker is rescued from the frozen wastes of Hoth after a near-fatal encounter, luckily to be returned to a medical facility filled with advanced robotics and futuristic technology that treat his wounds and quickly bring him back to health. Of course, that’s the stuff of science fiction … for now.
The healthcare industry could be headed toward yet another high-tech makeover (even as it continues to adapt to the advent of electronic health records systems and other healthcare IT products) as artificial intelligence (AI) improves. Could AI applications become the new normal across virtually every sector of the healthcare industry? Many experts believe it is inevitable and coming sooner than you might expect.
How is AI used in healthcare?
AI is still a relatively new technology, especially in the healthcare industry where adoption remains in its infancy. As AI and machine learning tools become more sophisticated, their use cases have expanded; however, adoption of AI remains low, according to John Frownfelter, chief medical information officer at Jvion.
AI excels at categorizing data, especially once it has been exposed to large amounts of data on the subject. That creates great promise for AI when it comes to diagnostics – medical imaging analysis and patient medical records, genetics, and more can all be combined to improve diagnostic outcomes. Moreover, AI tools can use similar information to craft unique treatment approaches and offer recommendations to doctors.
“The really interesting developments are in the clinical arena,” said Frownfelter. “Clinical prescriptive analytics is probably the closest AI is getting to support direct patient care in 2019.”
Robotic surgeries allow surgeons to use smaller tools and make more precise incisions. Surgeons (and patients) could also benefit from AI by combining medical records with real-time data during operations, as well as drawing on data from previous successful surgeries of the same type. Accenture, a technology consulting firm, estimates that AI-enabled, robot-assisted surgery could save the U.S. healthcare industry $40 billion annually by 2026.
Virtual nursing assistants
Think of virtual nursing assistants like an Alexa for your hospital bedside. These virtual assistants replicate the typical behavior of a nurse by assisting patients with their daily routines, reminding them to take medications or go to appointments, helping answer medical questions and more. Accenture estimates that virtual nursing assistants could be the second-largest source of annual savings for the U.S. healthcare industry, cutting as much as $20 billion in costs.
Administrative workflow assistance
Naturally, medical practices, hospitals and other points of care result in a great deal of paperwork. In fact, it was consolidating and digitizing these records that led to the industry-wide adoption of electronic health records systems. AI has already started to make its way into these systems and can be used to streamline administrative functions as well. Accenture estimates that new efficiencies in administrative workflow due to emerging AI technologies could result in $18 billion in annual savings.
Already, automated scheduling and appointment reminders are commonplace, but the face of patient engagement could soon become more robotic (and yet, at the same time, more personal.)
For example, patients who are concerned about a specific condition or the side effects of treatment could query a chatbot at any time, even when their doctor is not available, Marshall said.
“Imagine a cancer patient undergoing radiation [who] is unfamiliar with what is a normal side effect and what isn’t. Now, instead of worrying through the night until the doctor’s office opens, the chatbot can let them know,” he said.
The Economics of Artificial Intelligence in Healthcare
What is all this worth? Accenture estimates the top 10 AI applications in healthcare could save the industry $150 billion annually by 2026. The AI healthcare market itself is projected to be worth $6.6 billion by 2021, which represents a massive compound annual growth rate of 40% since 2014 but also a modest investment when compared with the anticipated savings directly related to the adoption of AI.
“Investment and adoption of clinical AI is still low, but that is beginning to accelerate,” said Frownfelter. “The most significant development in the next year is likely to be increased understanding and acceptance of AI.”
Retrieved from: Uzialko, A. C. (2019, June 9). How AI is Changing Healthcare.
GIF by Matthew Butler