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Big Data In Healthcare

Transforming Health Care through Big Data

Strategies for leveraging big data in the health care industry


Issue

At the heart of many health care industry debates is what to do about data: how to realize its value for quality care, bending the cost curve, how to share it and how to secure it. Health care providers face significant obstacles in implementing analytics, BI tools and data warehousing. 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. While other industries are already leveraging their data assets to improve efficiencies and make more informed decisions, the health care sector has perhaps the most work to do but can also benefit the most by effectively leveraging big data. A 2011 McKinsey report estimated that the health care industry can potentially realize $300 billion in annual value by leveraging big data. Health care organizations can create tremendous value by digitizing, combining and effectively using these pools of data. For example, the U.S. Department of Veterans Affairs, Kaiser Permanente, and the United Kingdom’s National Health Service have all demonstrated early success by capturing value from big data. In order to do so the health care industry must establish proven strategies and best practices to conduct the advanced analysis necessary to generate real insights because health data is rarely standardized, often fragmented, or generated in legacy IT systems with incompatible formats.

Purpose

The purpose of the Transforming Health Care through Big Data Project is to help executives from hospitals, health systems and other provider organizations understand models for innovative uses of data assets that can enable organizations to reduce costs, improve quality and provide safer care. Contributing executives will assess, identify and suggest a framework related to managing new sources, collection & storage, analytics, reporting and securing big data assets.

Framework

This project will help identify the latest and most proven strategies that leverage health care data enabling organizations to achieve high quality, cost effective care.

The Transforming Health Care through Big Data Project is comprised of individuals from provider, health system, health information technology, academic, and health policy domains. This diverse group is well-versed in data analysis, patient-centered care, health information technology, decision support systems, and the imperative to transform health care delivery with innovative uses of health data.

This project will help identify the latest and most proven strategies that leverage health care data enabling organizations to achieve high quality, cost effective care.

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Contributing Executives

Mike Cottle

Chief Information Officer
Newton Medical Center

Shadaab Kanwal

Executive Director Research & Quality
Kaiser Permanente

Marty Kohn

MS, MD, FACEP, FACPE
Chief Medical Scientist, Care Delivery Systems
IBM Research

Trevor Strome

MSc, PMP
Analytics Lead
WRHA Emergency Program


Neil Treister

MD
Medical Informatics Officer
Sharp Community Medical Group