Using AI to Advance Care and Make Meaning of Data
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AI has already made its presence felt in the healthcare sector. According to Mark H. Michalski, MD, executive director of MGH & BWH Center for Clinical Data Science, diagnostics, radiology, and pathology were the first to embrace AI technology.
Artificial Intelligence enables the healthcare sectors to work faster, adding value to the final report. In fact, AI can assist the entire medical system with building patient cohorts or finding novel biomarkers. Besides, the overflow of data in the healthcare system slows down decision-making, but with AI taking over, a much holistic view of patient care is ensured. Since Big data and AI go hand in hand, it is only in rich-data environments does AI thrive.
AI will soon be one of the tools for physicians that will create value and efficiencies as well as finding disconnections. While Big data enables looking at errors in retrospective analysis, recognizing the drivers later, AI, on the other hand, enables information to be brought in front at the time of making decisions so that clinicians will understand the errors, predict, and prevent them.
According to Tom McGuinness, chief strategy and commercial officer at GE Healthcare, artificial intelligence moves forward and will complement and augment the work of clinicians.
With AI having already entered the market, it will affect healthcare, changing the way providers interact with data.
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