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Assessing healthcare service quality using routinely collected data: Linking information systems in emergency care.

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  • Additional Information
    • Source:
      Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE
    • Publication Information:
      Publication: 1999- : New York, NY : Kluwer Academic/Plenum Publishers
      Original Publication: New York, Plenum Press.
    • Subject Terms:
    • Abstract:
      Emergency departments need to continuously calculate quality indicators in order to perform structural improvements, improvements in the daily routine, and ad-hoc improvements in everyday life. However, many different actors across multiple disciplines collaborate to provide emergency care. Hence, patient-related data is stored in several information systems, which in turn makes the calculation of quality indicators more difficult. To address this issue, we aim to link and use routinely collected data of the different actors within the emergency care continuum. In order to assess the feasibility of linking and using routinely collected data for quality indicators and whether this approach adds value to the assessment of emergency care quality, we conducted a single case study in a German academic teaching hospital. We analyzed the available data of the existing information systems in the emergency continuum and linked and pre-processed the data. Based on this, we then calculated four quality indicators (Left Without Been Seen, Unplanned Reattendance, Diagnostic Efficiency, and Overload Closure). Lessons learned from the calculation and results of the discussions with staff members that had multiple years of work experience in the emergency department provide a better understanding of the quality of the emergency department, the related challenges during the calculation, and the added value of linking routinely collected data.
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    • Contributed Indexing:
      Keywords: Emergency department; Healthcare service quality; Quality indicator; Quality measurement; Routinely collected data
    • Publication Date:
      Date Created: 20200510 Date Completed: 20210309 Latest Revision: 20210309
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