At Infosys, our focus on Healthcare is aimed at radical progress in affordability, wellness, and patient-centricity. We believe technology is a catalyst for game-changing healthcare solutions. In this blog, we discuss challenges, ideas, innovations, and solutions for the healthcare economy.


September 29, 2012

Applications of Big Data in Healthcare - Part 2

Underwriting is one of the business areas where big data will find a useful application. Underwriters while evaluating the membership data usually face the following challenges.

·         Whether the member has disclosed the data correctly and adequately in order to evaluate the insurability risk accurately

·         How to account for the maximum possible  factors that affect the health condition of the member in the evaluation of insurability risk

·         How to derive the required intelligence from the huge amount of data available which most of the time are left unaccounted for

Huge amount of unstructured data which affect the health condition of a member are available at different sources. Some of these data can also be publicly available which include - the various social engagements of an individual and life style of individual (group as well as individual). The size of the data usually runs into petabytes or even zettabytes of data. It is almost impossible for the underwriters to draw any inference from the data unless aided by an analytics tool. The healthcare payers can no more ignore these data as they have a crucial bearing on the health condition of a member who is asking for insurance coverage.

The additional information derived from these unstructured data with the help of big data analytics will prove to be useful as supplementary information in addition to the experience data available with the healthcare payers.

August 5, 2012

Applications of Big Data in Healthcare

Big Data has emerged as one of the key focus areas for organizations across the entire insurance industry. It presents unique opportunity to leverage the intelligence available in the form of unstructured data and to form the business strategies around it.

"Big data" is a term applied to data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Big data sizes are a constantly moving target, ranging from a few dozen terabytes to many petabytes of data in a single data set.

A huge amount of unstructured data related to healthcare providers, members are available in public domain including different social media websites. These data encapsulate information on the members' healthcare needs and the way future consumer behavior is shaping up. Healthcare organizations will find the application of big data useful in the following areas.

·         Sales and new business

·         Underwriting

·         Claims investigation

·         Customer Service

·         Marketing

In the next set of blogs, we are going to discuss further on how big data can be leveraged by the healthcare organizations.

August 3, 2009

Enterprise Data analytics: Breaking department silos

Organization departments have tendency work in silos and Healthcare Providers are no exception to this.  A leading insurance provider firm in USA was venturing into a new business in Canada and the IT team was busy working on the system requirements for the new business. The CIO sought this opportunity to make maximum out of the capital budget to invest in latest rules engine and custom application development. There was no consideration given to the revenue targets onto this new business or ROI on the IT system investment. Out of curiosity when I asked the CIO, his response was “ROI clouds the mind in any decision making. My priority is to ensure work for my team and have the systems in place to support business. It’s for business SMEs to extract maximum out of the system. This is what I call working in silos of departments by achieving individual department goals.

Continue reading "Enterprise Data analytics: Breaking department silos" »

May 22, 2009

What bare minimum features should a Hospital BI tool provide?

Hospital executives must perform the complex task of keeping pace with the dynamic healthcare environment – constantly changing patient volumes, fluctuating supply costs, stringent government compliance and quality requirements, asset utilization needs, and staffing shortages. Real time actionable information at finger tips can make a difference between life and death in a Hospital scenario. The disparate silos of data across various departments are the biggest bottleneck in providing actionable information. Mergers and acquisitions add to the diversity of hospital information system (HIS) application and data sources, thereby not allowing ‘one version of truth’.

Continue reading "What bare minimum features should a Hospital BI tool provide?" »

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