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Missing clinical and behavioral health data in a large electronic health record (EHR) system
Author(s) -
Jeanne M. Madden,
Matthew Lakoma,
Donna Rusinak,
Christine Y. Lu,
Stephen B. Soumerai
Publication year - 2016
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocw021
Subject(s) - medicine , medical diagnosis , bipolar disorder , medical record , mental health , health care , medical emergency , depression (economics) , ambulatory care , family medicine , psychiatry , mood , macroeconomics , pathology , economics , radiology , economic growth
Recent massive investment in electronic health records (EHRs) was predicated on the assumption of improved patient safety, research capacity, and cost savings. However, most US health systems and health records are fragmented and do not share patient information. Our study compared information available in a typical EHR with more complete data from insurance claims, focusing on diagnoses, visits, and hospital care for depression and bipolar disorder.

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