Matching patients to their medical records from multiple health care providers is critical to medical care, but can be challenging to accomplish because their records can be incomplete or inaccurate, and patients often share similar names. How, for example, to match medical records to the correct “John Jones” or “Maria Garcia” from their primary care doctor's office, the lab which processed tests the doctor ordered, the imaging center where they had a cancer screening, the out of town hospital where they were treated while on vacation? What if a name is recorded as James at one site and as Jim at another? And what if a common or uncommon name is mistyped at one or more places?...
Peter J. Embi
See the following -
New Paper from American Medical Informatics Association Details How to ‘Cross the Health IT Chasm’
Press Release |
American Medical Informatics Association (AMIA) |
April 5, 2017
The American Medical Informatics Association (AMIA) held a briefing today on Capitol Hill to unveil the findings and recommendations from a new paper, detailing ways that policymakers should focus on liberating data for patients, improving interoperability for clinicians, and enhancing the capacity for research and innovation to impact patient care. The paper, “Crossing the Health IT Chasm: Considerations and Policy Recommendations to Overcome Current Challenges and Enable Value-based Care,” is published in the Journal of the American Medical Informatics Association (JAMIA) in tandem with the briefing...
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