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The Nature and Variability of Automated Practice Alerts Derived from Electronic Health Records in a U.S. Nationwide Critical Care Research Network.

TitleThe Nature and Variability of Automated Practice Alerts Derived from Electronic Health Records in a U.S. Nationwide Critical Care Research Network.
Publication TypeJournal Article
Year of Publication2016
AuthorsBenthin C, Pannu S, Khan A, Gong M
Corporate AuthorsNHLBI Prevention and Early Treatment of Acute Lung Injury(PETAL) Network
JournalAnn Am Thorac Soc
Volume13
Issue10
Pagination1784-1788
Date Published2016 Oct
ISSN2325-6621
KeywordsBiomedical Research, Clinical Decision-Making, critical care, Decision Support Systems, Clinical, Electronic Health Records, Humans, Pneumonia, Randomized Controlled Trials as Topic, Respiratory Distress Syndrome, Sepsis, Surveys and Questionnaires, United States
Abstract

RATIONALE: The nature, variability, and extent of early warning clinical practice alerts derived from automated query of electronic health records (e-alerts) currently used in acute care settings for clinical care or research is unknown.OBJECTIVES: To describe e-alerts in current use in acute care settings at medical centers participating in a nationwide critical care research network.METHODS: We surveyed investigators at 38 institutions involved in the National Institutes of Health-funded Clinical Trials Network for the Prevention and Early Treatment of Acute Lung Injury (PETAL) for quantitative and qualitative analysis.MEASUREMENTS AND MAIN RESULTS: Thirty sites completed the survey (79% response rate). All sites used electronic health record systems. Epic Systems was used at 56% of sites; the others used alternate commercially available vendors or homegrown systems. Respondents at 57% of sites represented in this survey used e-alerts. All but 1 of these 17 sites used an e-alert for early detection of sepsis-related syndromes, and 35% used an e-alert for pneumonia. E-alerts were triggered by abnormal laboratory values (37%), vital signs (37%), or radiology reports (15%) and were used about equally for clinical decision support and research. Only 59% of sites with e-alerts have evaluated them either for accuracy or for validity.CONCLUSIONS: A majority of the research network sites participating in this survey use e-alerts for early notification of potential threats to hospitalized patients; however, there was significant variability in the nature of e-alerts between institutions. Use of one common electronic health record vendor at more than half of the participating sites suggests that it may be possible to standardize e-alerts across multiple sites in research networks, particularly among sites using the same medical record platform.

DOI10.1513/AnnalsATS.201603-172BC
Alternate JournalAnn Am Thorac Soc
PubMed ID27404288
PubMed Central IDPMC5122489
Grant ListU01 HL123018 / HL / NHLBI NIH HHS / United States
U01 HL123031 / HL / NHLBI NIH HHS / United States
U01 HL123020 / HL / NHLBI NIH HHS / United States
U01 HL122989 / HL / NHLBI NIH HHS / United States
U01 HL123009 / HL / NHLBI NIH HHS / United States
U01 HL123004 / HL / NHLBI NIH HHS / United States
U01 HL123008 / HL / NHLBI NIH HHS / United States
U01 HL123022 / HL / NHLBI NIH HHS / United States
U01 HL123023 / HL / NHLBI NIH HHS / United States
U01 HL123027 / HL / NHLBI NIH HHS / United States
U01 HL122998 / HL / NHLBI NIH HHS / United States
UL1 RR024140 / RR / NCRR NIH HHS / United States
U01 HL123033 / HL / NHLBI NIH HHS / United States
U01 HL123010 / HL / NHLBI NIH HHS / United States