Artificial Intelligence in Healthcare

Artificial intelligence (AI) is becoming an intriguing argument and businesses are interested because the innovations and benefit it provides.

According to Frost & Sullivan, the AI healthcare market earned $600 m in 2014 and this will go up to $6.6 b in 2021.

The shift to a value-based reimbursement model in US and UK (providers are not paid by number of visits and tests but on the value of care they deliver) will push to find new way to increase efficiencies and improve patient outcomes.

AI (with cognitive solutions) can help hospitals elaborating patients’ data and prescribing the right treatments and cures. At this stage, AI has a role of support for physicians and not replacement of them (I have my doubts in case of further progress with this technology). Indeed, cognitive computing has a role of elaboration of big data and presentation of solutions and information; for example, doctors use cognitive applications to analyze thousands of cases and articles and choose the best one for a specific situation.

AI is not only about diagnosis and treatment but can help also with disease management, clinical trials, wellness and reimbursement because the facility to elaborate, compare and provide with effective solutions.

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