Is Big Data Useful Data In Healthcare It

Roopesh Kumar
Thursday, October 13, 2016
Roopesh Kumar
In today's information driven society, data is everywhere throughout the healthcare management chain. When it pertains to big data, being able to find actionable items that can be used to create real-world results is often considered important, but understanding whether or not big data is ultimately useful for healthcare IT is a question that is being.

Big Data offers the potential for outstanding value and positive patient outcomes in healthcare management. From predictive analytics to the comprehensive analysis of a health plan member's preferences and experiences, Big Data can assist healthcare plans find the path to optimized care. Insurers, PBMs, and ACOs should remember that they have Big Data at their fingertips, and now is the time to understand how they can leverage that information to drive positive outcomes. These organizations can utilize Big Data to take existing eligibility, claims, formulary, and patient-provided data to create personalized messaging.

A study by McKinsey shows that the implementation of Big Data information could offer transformations for the management of healthcare, but a number of challenges are still in place for health plans and providers to be able to incorporate Big Data into their overall planning and execution. Health plans must develop strategies to mine EMR data from various provider enterprise applications, and then integrate it with other administrative data to deliver on the goal of driving Big Data analytics towards better care.

The Institute for Health Technology Transformation states "Health data is diverse and distributed in hard-to-penetrate silos owned by a multitude of stakeholders. To complicate matters, each stakeholder has different interests and business incentives while still being closely intertwined."

There can be some caveats in regards to how Big Data can be leveraged for better client outcomes, especially in regards to messaging programs designed for patients. Personalized data that is relevant does not need to wait for the machinations of Big Data output and related analytics to be able to offer outstanding value for patients. Leveraging analytics and creating rules to identify the most effective ways to send the right message to the right patients at the right time is the key for significant cost savings for healthcare providers.

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