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Health Care IT and Chronic Disease Care: A Status Report on Diabetes Registries

Health Care IT and Chronic Disease Care: A Status Report on Diabetes Registries. California Health Care IT 2003 Neil A. Solomon, MD NAS Consulting Services nsolomon@nasconsulting.biz. Diabetes Registry Status Report.

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Health Care IT and Chronic Disease Care: A Status Report on Diabetes Registries

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  1. Health Care IT and Chronic Disease Care: A Status Report on Diabetes Registries California Health Care IT 2003 Neil A. Solomon, MD NAS Consulting Services nsolomon@nasconsulting.biz

  2. Diabetes Registry Status Report • Surveyed 16 medical groups and IPAs participating in the Diabetes CQI Project • Asked questions about: • registry development status • availability and usefulness of data sources • skills and staff resources to utilize data effectively • Performed telephone interviews in November 2002 • Sponsored by California HealthCare Foundation

  3. Main Findings • 11 of 16 responding medical groups have a diabetes registry. Most consider their current registry a work-in-progress. • Wide array of software products used to manage the registries; most common product was Access database. • Most common data sources used in the registry are laboratory (7 groups) and encounter (5). Only 2 groups used lab, pharmacy and encounter data in their registry.

  4. Availability of Data • Lab data is available to most medical groups through a primary lab vendor or hospital partner. • Pharmacy data is available to most medical groups through agreements with the major health plans. This data is usually provided in some version of Calinx format. • All medical groups have access to some form of encounter information through their claims system. Great variation in software systems used. Most groups believe data capture is good.

  5. Major Challenges • Technical challenges in managing the data feeds • cleaning, tranforming, loading • matching patients across databases • performing analyses and generating reports • Lack of resources allocated in many groups to perform the data management tasks. Need for skills development. • Need for software programs to automate data management functions.

  6. Other Barriers • Data use agreements between plans and medical groups • Lack of common Calinx format for pharmacy data • Lack of standardized format for lab data • Uncertain capture rate of encounter data, especially for capitated patients

  7. Options to Overcome Barriers • Develop internal capabilities within medical groups • Create statewide entity to manage data process and feed data to medical groups • Trade associations or other public entities provide data management services • Medical groups outsource data management function to private companies that create and manage registries

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