TY - JOUR
T1 - Using Existing Clinical Information Models for Dutch Quality Registries to Reuse Data and Follow COUMT Paradigm
AU - Schepens, Maike H. J.
AU - Trompert, Annemarie C.
AU - van Hooff, Miranda L.
AU - van der Velde, Erik
AU - Kallewaard, Marjon
AU - Verberk-Jonkers, Iris J. A. M.
AU - Cense, Huib A.
AU - Somford, Diederik M.
AU - Repping, Sjoerd
AU - Tromp, Selma C.
AU - Wouters, Michel W. J. M.
N1 - Funding Information: The SKMS Program of the Dutch Association of Medical Specialists (Federatie Medisch Specialisten) funded the step-based approach executed with 31 NQRs. Publisher Copyright: © 2023. The Author(s).
PY - 2022/10/14
Y1 - 2022/10/14
N2 - BACKGROUND: Reuse of health care data for various purposes, such as the care process, for quality measurement, research, and finance, will become increasingly important in the future; therefore, "Collect Once Use Many Times" (COUMT). Clinical information models (CIMs) can be used for content standardization. Data collection for national quality registries (NQRs) often requires manual data entry or batch processing. Preferably, NQRs collect required data by extracting data recorded during the health care process and stored in the electronic health record. OBJECTIVES: The first objective of this study was to analyze the level of coverage of data elements in NQRs with developed Dutch CIMs (DCIMs). The second objective was to analyze the most predominant DCIMs, both in terms of the coverage of data elements as well as in their prevalence across existing NQRs. METHODS: For the first objective, a mapping method was used which consisted of six steps, ranging from a description of the clinical pathway to a detailed mapping of data elements. For the second objective, the total number of data elements that matched with a specific DCIM was counted and divided by the total number of evaluated data elements. RESULTS: An average of 83.0% (standard deviation: 11.8%) of data elements in studied NQRs could be mapped to existing DCIMs . In total, 5 out of 100 DCIMs were needed to map 48.6% of the data elements. CONCLUSION: This study substantiates the potential of using existing DCIMs for data collection in Dutch NQRs and gives direction to further implementation of DCIMs. The developed method is applicable to other domains. For NQRs, implementation should start with the five DCIMs that are most prevalently used in the NQRs. Furthermore, a national agreement on the leading principle of COUMT for the use and implementation for DCIMs and (inter)national code lists is needed.
AB - BACKGROUND: Reuse of health care data for various purposes, such as the care process, for quality measurement, research, and finance, will become increasingly important in the future; therefore, "Collect Once Use Many Times" (COUMT). Clinical information models (CIMs) can be used for content standardization. Data collection for national quality registries (NQRs) often requires manual data entry or batch processing. Preferably, NQRs collect required data by extracting data recorded during the health care process and stored in the electronic health record. OBJECTIVES: The first objective of this study was to analyze the level of coverage of data elements in NQRs with developed Dutch CIMs (DCIMs). The second objective was to analyze the most predominant DCIMs, both in terms of the coverage of data elements as well as in their prevalence across existing NQRs. METHODS: For the first objective, a mapping method was used which consisted of six steps, ranging from a description of the clinical pathway to a detailed mapping of data elements. For the second objective, the total number of data elements that matched with a specific DCIM was counted and divided by the total number of evaluated data elements. RESULTS: An average of 83.0% (standard deviation: 11.8%) of data elements in studied NQRs could be mapped to existing DCIMs . In total, 5 out of 100 DCIMs were needed to map 48.6% of the data elements. CONCLUSION: This study substantiates the potential of using existing DCIMs for data collection in Dutch NQRs and gives direction to further implementation of DCIMs. The developed method is applicable to other domains. For NQRs, implementation should start with the five DCIMs that are most prevalently used in the NQRs. Furthermore, a national agreement on the leading principle of COUMT for the use and implementation for DCIMs and (inter)national code lists is needed.
KW - FAIR
KW - administrative burden
KW - clinical information models
KW - data reuse
KW - electronic health record
KW - interoperability
KW - national quality registries
KW - secondary use
UR - http://www.scopus.com/inward/record.url?scp=85159548170&partnerID=8YFLogxK
U2 - https://doi.org/10.1055/s-0043-1767681
DO - https://doi.org/10.1055/s-0043-1767681
M3 - Article
C2 - 37137338
SN - 1869-0327
VL - 14
SP - 326
EP - 336
JO - Applied Clinical Informatics
JF - Applied Clinical Informatics
IS - 2
ER -