Artificial Intelligence Meets Healthcare

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The availability of vast amounts of health care data is driving the development of artificial intelligence (AI) applications.

It promise to improve the efficiency and effectiveness of patient care. AI health care applications are using data mining, machine learning and data analytic processes. This allows to assist doctors and health care providers for faster, more precise diagnosis and treatment.

The health care market for AI is expanding. 40% growth rate and is expected to reach $6.6 billion by 2021.[1]

AI’s rapid growth is fueled by changes in health care delivery models, reimbursements and timelines. These changes are driving biomedical technology companies to the next level. They create AI applications to help health care systems improve patient care and reduce costs.

One of the first AI applications in health care was to read CT and X-ray. Namely, other medical imaging scans for more accurate diagnoses.

AI is ideal for streamlining repetitive work processes and managing large amounts of data.

By linking AI tools with the expertise of trained clinicians, patient care in several medical disciplines can be improved. This can be through fast delivery, precise reports and treatment plans.

In fact, experts predict AI will have a significant impact across health care. Specifically in areas such as chronic disease, patient engagement, clinical decision making, health and financial modeling.[2]

AI applications can optimize hospital workflows, improve decision making and reduce costs.

Research firm Frost & Sullivan estimates that AI has the potential to improve patient outcomes by 30% to 40% while reducing treatment costs by up to 50%.[3]

AI applications are being used in the pharmaceutical industry to speed data search and analysis. Drug experience data can be combined with patients’ biological data to predict the effectiveness of drug in populations with greater accuracy.[4]

The next wave of AI applications in health care may drive a new era of health care consumers.

Specifically, big data can be drawn from multiple sources, such as medical records and wearable health trackers, eventually analyzed in new ways. New advances in language processing will ease the ability to interface directly with AI applications. This will allow patients to take charge of their health care in a more meaningful way.

[1] “From $600 M to $6 Billion, Artificial Intelligence Systems Poised for Dramatic Market Expansion in Healthcare,” Frost & Sullivan press release, Jan. 5, 2016. Available at: https://ww2.frost.com/news/press-releases/600-m-6-billion-artificial-intelligence-systems-poised-dramatic-market-expansion-healthcare

[2] “Big Data, Artificial Intelligence, IoT May Change Healthcare in 2017,” by Jennifer Bresnick, healthitanalytics.com blog, Sept. 21, 2016. Available at: https://healthitanalytics.com/news/big-data-artificial-intelligence-iot-may-change-healthcare-in-2017

[3] “From $600 M to $6 Billion, Artificial Intelligence Systems Poised for Dramatic Market Expansion in Healthcare,” Frost & Sullivan press release, Jan. 5, 2016. Available at: https://ww2.frost.com/news/press-releases/600-m-6-billion-artificial-intelligence-systems-poised-dramatic-market-expansion-healthcare

[4] “Artificial Intelligence Will Redesign Healthcare,” the Medical Futurist blog, 2016. Available at: http://medicalfuturist.com/artificial-intelligence-will-redesign-healthcare/ and “See How Artificial Intelligence Can Improve Medical Diagnosis and Healthcare,” by Jennifer Kite-Powell, Forbes, May 16, 2017. Available at: https://www.forbes.com/sites/jenniferhicks/2017/05/16/see-how-artificial-intelligence-can-improve-medical-diagnosis-and-healthcare/#4d3751846223

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