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Indian Management
|October 2020
The power of predictive analytics and machine learning can be leveraged to bring about considerable improvement in healthcare as well as health insurance ecosystems.

Managing personal information is a challenge in an environment marked by high digitalisation and involvement of technology in all aspects of an individual’s life1. It is all the more so in the case of healthcare data, one of the most critical aspects of an individual’s personal information and an important component of the data exchange that occurs in the health ecosystem.
The pervasive healthcare system demands that information is available at the right time for the right use2. However, an individual’s health information is spread across his or her entire life cycle, and is usually stored in outpatient clinics and hospitals, at the workplace and home; or is available with health insurers. With different stakeholders using different storage devices and following different documentation patterns and recording systems, accessibility of health information often becomes difficult.
This points to the importance of integrating this multi-source information to create intelligent decision-making systems. Also, utilisation of such data demands a complete understanding of the degree to which technology can contribute to managing it across the spectrum.
This story is from the October 2020 edition of Indian Management.
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