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1、Center for US Health System Reform Business Technology Office The big data revolution in healthcare January 2013 Peter Groves Basel Kayyali David Knott Steve Van Kuiken Accelerating value and innovation The big datarevolution in healthcare: Accelerating value and innovation 1 Introduction 1 Reaching
2、 the tipping point: A new view of big data in the healthcare industry 2 Impact of big data on the healthcare system 6 Big data as a source of innovation in healthcare 10 How to sustain the momentum 13 Getting started: Thoughts for senior leaders 17 Contents 1 Introduction An era of open information
3、in healthcare is now under way. We have already experienced a decade of progress in digitizing medical records, as pharmaceutical companies and other organizations aggregate years of research and development data in electronic databases. The federal government and other public stakeholders have also
4、 accelerated the move toward transparency by making decades of stored data usable, searchable, and actionable by the healthcare sector as a whole. Together, these increases in data liquidity have brought the industry to the tipping point. Healthcare stakeholders now have access to promising new thre
5、ads of knowledge. This information is a form of “big data,” so called not only for its sheer volume but for its complexity, diversity, and timeliness.1 Pharmaceutical-industry experts, payors, and providers are now beginning to analyze big data to obtain insights. Although these efforts are still in
6、 their early stages, they could collectively help the industry address problems related to variability in healthcare quality and escalating healthcare spend. For instance, researchers can mine the data to see what treatments are most effective for particular conditions, identify patterns related to
7、drug side effects or hospital readmissions, and gain other important information that can help patients and reduce costs. Fortunately, recent technologic advances in the industry have improved their ability to work with such data, even though the files are enormous and often have different database
8、structures and technical characteristics. Many innovative companies in the private sectorboth established players and new entrantsare building applications and analytical tools that help patients, physicians, and other healthcare stakeholders identify value and opportunities. Our recent evaluation o
9、f the marketplace revealed that over 200 businesses created since 2010 are developing a diverse set of innovative tools to make better use of available healthcare information. As their technological capabilities and understanding advance, we expect that innovators will develop even more interesting
10、ideas for using big datasome of which could help substantially reduce the soaring cost of healthcare in the United States. For big-data initiatives to succeed, the healthcare system must undergo some fundamental changes. For instance, the old levers for capturing value, such as unit-price discounts
11、based on contracting and negotiating leverage, do not take full advantage of the insights that big data provides and thus need to be supplemented or replaced with other measures. Stakeholders across the industry also need to protect patient privacy as more information becomes public, and ensure that
12、 safeguards are in place to protect organizations that release information. The big-data revolution is in its early days, and most of the potential for value creation is still unclaimed. But it has set the industry on a path of rapid change and new discoveries; stakeholders that are committed to inn
13、ovation will likely be the first to reap the rewards. This paper will help payors, pharmaceutical companies, and providers develop proactive strategies for winning in the new environment. It first explains the changes that are making this big datas moment, and then describes the new “value pathways”
14、 that could shift profit pools and reduce overall cost in the near future. The paper also discusses the analytical capabilities that will be required to capture big datas full potential, ranging from reporting and monitoring activities that are already occurring to predictive modeling and simulation
15、 techniques that have not yet been used at scale. The conclusion contains a call to action for all stakeholders, focusing on strategies required to sustain and build on the momentum, as well as key priorities for leaders. 1 For more information see Big Data: The Next Frontier for Innovation, Competi
16、tion, and Productivity, June 2011. The big data revolution in healthcare: Accelerating value and innovation 2 Reaching the tipping point: A new view of big data in the healthcare industry From banking to retail, many sectors have already embraced big dataregardless of whether the information comes from private or public sources. Grocery stores, for instance, examine customer loyalty card data to identify sales trends, optimize their product mix, and develop special offers. Not only do th
