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Increased Identification of Emergency Department 72‐hour Returns Using Multihospital Health Information Exchange
Author(s) -
Shy Bradley D.,
Kim Eugene Y.,
Genes Nicholas G.,
Lowry Tina,
Loo George T.,
Hwang Ula,
Richardson Lynne D.,
Shapiro Jason S.
Publication year - 2016
Publication title -
academic emergency medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.221
H-Index - 124
eISSN - 1553-2712
pISSN - 1069-6563
DOI - 10.1111/acem.12954
Subject(s) - medicine , emergency department , confidence interval , health information exchange , emergency medicine , pediatrics , health information , health care , psychiatry , economics , economic growth
Objectives Emergency departments ( ED s) commonly analyze cases of patients returning within 72 hours of initial ED discharge as potential opportunities for quality improvement. In this study, we tested the use of a health information exchange ( HIE ) to improve identification of 72‐hour return visits compared to individual hospitals' site‐specific data. Methods We collected deidentified patient data over a 5‐year study period from Healthix, an HIE in the New York metropolitan area. We measured site‐specific 72‐hour ED returns and compared these data to those obtained from a regional 31‐site HIE (Healthix) and to those from a smaller, antecedent 11‐site HIE . Although only ED visits were counted as index visits, either ED or inpatient revisits within 72 hours of the index visit were considered as early returns. Results A total of 12,669,657 patient encounters were analyzed across the 31 HIE ED s, including 6,352,829 encounters from the antecedent 11‐site HIE . Site‐specific 72‐hour return visit rates ranged from 1.1% to 15.2% (median = 5.8%) among the individual 31 sites. When the larger HIE was used to identify return visits to any site, individual ED s had a 72‐hour return frequency of 1.8% to 15.5% (median = 6.8%). HIE increased the identification ability of 72‐hour ED return analyses by a mean of 11.16% (95% confidence interval = 11.10% to 11.22%) compared with site‐specific (no HIE ) analyses. Conclusion This analysis demonstrates incremental improvements in our ability to identify early ED returns using increasing levels of HIE data aggregation. Although intuitive, this has not been previously described using HIE . ED quality measurement and patient safety efforts may be aided by using HIE in 72‐hour return analyses.