Healthcare can learn valuable lessons from this previous success to jumpstart the utility of predictive analytics for improving patient care, chronic disease management, hospital administration and supply chain efficiencies. Healthcare prediction is most useful when that knowledge can be transferred into action. For predictive analytics to be successful in healthcare, it must have three characteristics that is timely, role-specific and actionable.
The market of healthcare predictive analytics market is anticipated to grow with a significant rate in the coming years, owing to factors such as, overview of advanced analytics and technologies and rising demand for modified medication, lack of government initiatives. Various technological developments, funding of health and insurance programs in the healthcare industry in Asia Pacific and Europe are expected to offer growth opportunities for the players operating in the market.
Coming from the healthcare space, one of the things that always fascinated me was the ability to use this wealth of data to do predictive analytics on treatment plans to improve patient outcomes. With big data, big answers and meaningful analytics can be extrapolated from the healthcare continuum.
North America is likely to contribute to the largest share in the healthcare predictive analytics market in the coming years, owing to factors such as, improved infrastructure of healthcare and efficient system of health-care, restructured governing policies in United States and Canada. Asia Pacific is expected to witness significant growth rate during the forecast period primarily due to the new introduction of medication, economic development in industry in Asian countries such as, India, China and Japan.
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Top Competitors:
1 IBM
2 McKesson Corporation
3 Oracle
4 MEDEANALYTICS, INC.
5 Cerner Corporation
6 Allscripts
7 Optum, Inc.
8 Crunchbase Inc.
9 SAS Institute Inc.
10 Verisk Analytics, Inc
Source: The Insight Partners
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