Healthcare and Predictive Analytics

More and more businesses are investing in and reaping benefits of predictive analytics today. The science parses past records and trends to predict unknown future events.  With advancement in big data and analytical tools, no industry can now ignore the power of analytics.

A study by Health Information and Management Systems Society (HIMSS) and Jvion surrounding the use of predictive models in healthcare showed that while a small fraction of providers today (about 15 percent) actually use predictive modeling; more than 90 percent of these organizations use the outputs to make better decisions on patient care and management.

So is the Indian Health Care industry tapping into this?

India is considered a developing nation in terms of Healthcare as per Charles Farah, director of Qlik. This he said is based on its’ GDP as well the low investment in Analytics and Business Intelligence. Per a survey by CDW Healthcare Analytics, more than 2/3rd of Healthcare decision makers keep Analytics among their top 3 priorities based on its’ potential to improve patient safety, care quality and reduce costs.

In a populous and diverse country like ours, health care institutions and even practicing doctors will be sitting on top of tons of patient records of diverse data types. If these were digitized and analyzed, just imagine how much of an impact it will create; from clinical decision support to disease surveillance and population health management.

But sadly very few institutions in India have digital records and when you look at the penetration of EHRs, the number reduces further. Unless the Indian Health care industry wakes up to the fact that electronic medical records are no longer a luxury but a need, those file cabinets will stay in our hospitals, clinics and doctor’s office.



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