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How do you enable analytics in healthcare? By managing and integrating data end-to-end IBM Institute for Business Value Th...
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Enable analytics in healthcare by end-to-end data management

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Data management is a major concern for organizations when implementing analytics particularly because of the the volume of structured and unstructured data. Organizations are also unable to generate actionable insights from analytical results and integrate into business processes. Many are unable to track end-to-end delivery of a product or service. To cater to these issues enterprises should adapt methods such as using third part host, setting up collaborations across interested parties and enabling the automatic integration of analytics results into managing business processes. This infographics highlights the gaps and solution for managing and integrating data end-to-end. To view the entire IBM IBV paper visit http://bit.ly/HCAnalytics

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Enable analytics in healthcare by end-to-end data management

  1. 1. How do you enable analytics in healthcare? By managing and integrating data end-to-end IBM Institute for Business Value The gaps The solution The results 74% Data Management of organizations indicated that they have had limited success at integrating analytics capabilities and results Measure end-to-end delivery 33%of organizations did not consider incorporating analytics insights into the business process on an ongoing basis as a driver for enterprise wide adoption “Looking to standardize data collection and interchange through transparency, data standards & access to get value from the information” Director, National Health Service, UK “The first key step is “rolling up your sleeves” and getting data into a format that's uniform and usable – "fit for consumption”.” Chief Analytics Officer, UPMC Health Plan, US Manage data through overarching analytics strategy, centralize data collection and enforced standards. Automate integration of analytics results into managing business processes. Implement common analytics terminology so both analytics and business staff can understand each other's analytical needs. Electronic health record adoption accelerating: EHR is at different stages of maturity across the world with countries having different drivers DENMARK • Ease of implementation due to small size and clinical acceptance • Patients can select their data via the national health portal online • The system has allowed physicians to see 10% more patients a day, saving about 50 minutes First mover CHINA • Integrated health system in the next 5 years • Lacking common standards and data models. • Currently only Shanghai has seen healthcare data integration with 30 hospitals currently connected across six districts Planned NEW ZEALAND • The catalyst for this project was the 2011 Christchurch earthquakes • Pilot project rolled out in 6 months at a cost of $NZ1.5m • The result was a cloud-based electronic shared patient record system Immediate need UNITED STATES • Within the Accountable Care Organization program, hospitals are held accountable to benchmarks • Data transparency is being driven through new regulations, but standards still lacking • EHR adoption in U.S. hospitals will increase from 12% in 2009 to 90% in 2016 Driven by regulations Download the “Analytics across the ecosystem” Thought Leadership Paper http://bit.ly/AnalyticsHC © Copyright IBM Corporation 2014. All rights reserved To read more interesting results HLJ12347-USEN-00

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