Sucessful Healthcare Organizations will be Data Driven

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Sucessful Healthcare Organizations will be Data Driven

  1. 1. The Healthcare Organization of the Future will be Data-Driven of health data is unstructured and stored in hundreds of forms such as lab results, images, and medical transcripts.180% petabytes There is an estimated 50 petabytes of data in the healthcare realm2 Improving interoperability between medical devices and EHRs in hospitals could save more than $30 billion a year while improving patient care and safety.6 $30B4.9M Devices such as defibrillators, electrocardiographs, vital signs monitors, ventilators and infusion pumps. of hospitals use 6 or more types of devices that could be integrated with EHRs.3 90%+ 33.3% Yet only a third of hospitals integrate any medical devices with EHRs, and those that do, usually integrate only 3 types of devices.3 On average, patient monitoring equipment pumps out 1000 readings per second, or 86400 readings per day.4 EHR 4.9 million patients worldwide will use remote monitoring devices by 2016.5 1000 Improvements in care and operational efficiencies will be realized when healthcare data, from every source, is leveraged. 1 http://www.zdnet.com/within-two-years-80-percent-of-medical-data-will-be-unstructured-7000013707/ 2 http://www.scribd.com/doc/107279699/Big-Data-in-Healthcare-Hype-and-Hope 3 http://www.informationweek.com/interoperability/medical-device-ehr-integration-could-save-$30b-study/d/d-id/1109208? 4 http://info.healthdirections.com/blog/bid/330034/Infographic-Big-Data-is-Healthcare-s-Biggest-Threat-And-Likely-Savior 5 http://mobihealthnews.com/15487/berg-2-2m-patients-remotely-monitored-globally/ 6 http://www.informationweek.com/interoperability/medical-device-ehr-integration-could-save-$30b-study/d/d-id/1109208 7 http://www.informationweek.com/healthcare/clinical-information-systems/healthcare-analytics-sought-for-population-health-management/d/d-id/1111071?page_number=1 8 http://www.informationweek.com/healthcare/clinical-information-systems/hospitals-seek-analytics-tools-in-rush-to-meet-mandates/d/d-id/1105906? 9 http://www.ajmc.com/publications/issue/2013/2013-1-vol19-n7/Healthcares-Big-Data-Challenge 10 http://www.experian.com/blogs/data-breach/2013/05/01/medical-data-breaches-a-source-of-chronic-pain/ 2 Data Fragmentation: Healthcare data quality is concerning for 2 reasons: Manual entry introduces intentional and unintentional systematic errors.9 Even if we achieve perfect data accuracy; data fragmentation remains.9 Incomplete data, like inaccurate data, can also lead to missed or spurious associations that can be wasteful or even harmful to patient care. These issues need to be addressed in order to ensure that insights from electronic clinical data are valid.9 1 Human Error: of hospitals exposed by a breach in the past 2 years.10 of medical devices are vulnerable to hackers because they are not secure.10 69% 94% patients have had records exposed in healthcare data breaches.10 total records exposed in data breaches in Quarter 1 2013.10 874,667 21.7M 10% of hospitals implemented data analytics tools in 2011, 50%+ are predicted to do so by 2016.8 82% of respondents of a CIO survey identified population health management (PHM) as a key focus of analytics in coming years.7 Nearly 80% felt that leveraging big data and predictive analytics was important to their organization's goals.7 Analytics will reveal insights. However, the quality of the decisions you make will mirror the quality of the data fed into the analytics. Clean, safe and connected data is required for confident decision making. Data needs to be clean and connected. Data needs to be safe. This is where data infrastructure comes in Transformed Healthcare organizations rely on data to: Support population health: Researchers gain knowledge from access to integrated clinical and genomic data; cures for some forms of cancer can be identified. Deliver best practice care: Data with context powers innovation across the boundaries of science and technology; cures can be discovered. Increase engagement: Ecosystem-wide information sharing fosters strong, actionable relationships; patients are engaged through collaboration and nontraditional channels like loyalty programs and social media. Move from volume to value: Trustworthy insights and patterns revealed in clean, safe and connected data improve treatments and reduce costs for chronically ill patients. 3 Be safe: A managed data lifecycle saves millions annually by reducing data breaches, ensuring regulatory compliance and eliminating redundant costs. 4 Power the internet of healthy things: Device integration and web-connected sensors mesh with social networks to collect patient / community data – anywhere, any time. 5 For example: For the first time ever, with foundational architecture and the new enterprise data warehouse in place, UPMC researchers were able to electronically integrate clinical and genomic information on 140 patients previously treated for breast cancer. BCBS Michigan complied with ICD10 regulatory requirements creating a easy to use crosswalk between IC9 and ICD10 codes. The largest children's hospital in the US retained access to historical clinical data for care delivery and regulatory compliance while achieving resource agility by eliminating maintenance costs of the legacy EHR – saving $2.8M annually. Moving to a value-driven model demands agility from people, processes, and technology. Organizations that succeed in this transformation will be those that leverage data to: 1) Establish analytics as a core competency 2) Deliver best practice care 3) Engage patients and collaborate across the ecosystem to foster strong, actionable relationships

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