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Assessing Healthcare Service Quality Using Routinely Collected Data : Linking Information Systems in Emergency Care

Title data

Dormann, Harald ; Eder, Patrick A. ; Gimpel, Henner ; Meindl, Oliver ; Rashid, Asarnusch ; Regal, Christian:
Assessing Healthcare Service Quality Using Routinely Collected Data : Linking Information Systems in Emergency Care.
In: Journal of Medical Systems. Vol. 44 (2020) . - 113.
ISSN 1573-689X

Official URL: Volltext

Abstract in another language

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.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Healthcare Service Quality; Quality Measurement; Quality Indicator; Emergency Department; Routinely Collected Dat
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 18 May 2020 07:38
Last Modified: 21 Nov 2023 13:29