Wurster, Florian 
ORCID: 0000-0001-5527-9238, Herrmann, Christin ORCID: 0000-0003-1986-7512, Beckmann, Marina ORCID: 0000-0002-9826-3575, Cecon-Stabel, Natalia ORCID: 0000-0002-2548-5986, Dittmer, Kerstin ORCID: 0000-0003-3390-1377, Hansen, Till ORCID: 0000-0001-6175-7670, Jaschke, Julia ORCID: 0000-0003-3424-2588, Köberlein-Neu, Juliane ORCID: 0000-0002-3451-7847, Okumu, Mi-Ran ORCID: 0000-0002-9301-8829, Pfaff, Holger ORCID: 0000-0001-9154-6575, Rusniok, Carsten ORCID: 0000-0002-5383-4549 and Karbach, Ute ORCID: 0000-0003-3479-9474
(2024).
Differences in changes of data completeness after the implementation of an electronic medical record in three surgical departments of a German hospital–a longitudinal comparative document analysis.
BMC Medical Informatics and Decision Making, 24 (1).
pp. 1-10.
Springer Nature.
ISSN 1472-6947
![[thumbnail of s12911-024-02667-0.pdf]](http://kups.ub.uni-koeln.de/style/images/fileicons/application_pdf.png "s12911-024-02667-0.pdf") |
PDF
s12911-024-02667-0.pdf Bereitstellung unter der CC-Lizenz: Creative Commons Attribution. Download (1MB) |
Abstract
[Artikel-Nr.: 258] Purpose: The European health data space promises an efficient environment for research and policy-making. However, this data space is dependent on high data quality. The implementation of electronic medical record systems has a positive impact on data quality, but improvements are not consistent across empirical studies. This study aims to analyze differences in the changes of data quality and to discuss these against distinct stages of the electronic medical record’s adoption process. Methods: Paper-based and electronic medical records from three surgical departments were compared, assessing changes in data quality after the implementation of an electronic medical record system. Data quality was operationalized as completeness of documentation. Ten information that must be documented in both record types (e.g. vital signs) were coded as 1 if they were documented, otherwise as 0. Chi-Square-Tests were used to compare percentage completeness of these ten information and t-tests to compare mean completeness per record type. Results: A total of N = 659 records were analyzed. Overall, the average completeness improved in the electronic medical record, with a change from 6.02 ( SD = 1.88) to 7.2 ( SD = 1.77). At the information level, eight information improved, one deteriorated and one remained unchanged. At the level of departments, changes in data quality show expected differences. Conclusion: The study provides evidence that improvements in data quality could depend on the process how the electronic medical record is adopted in the affected department. Research is needed to further improve data quality through implementing new electronical medical record systems or updating existing ones.
| Item Type: | Article |
| Creators: | Creators Email ORCID ORCID Put Code |
| URN: | urn:nbn:de:hbz:38-814612 |
| Identification Number: | 10.1186/s12911-024-02667-0 |
| Journal or Publication Title: | BMC Medical Informatics and Decision Making |
| Volume: | 24 |
| Number: | 1 |
| Page Range: | pp. 1-10 |
| Number of Pages: | 10 |
| Date: | 16 September 2024 |
| Publisher: | Springer Nature |
| ISSN: | 1472-6947 |
| Language: | English |
| Faculty: | Faculty of Medicine |
| Divisions: | Faculty of Medicine > Medizinsoziologie, Versorgungsforschung und Rehabilitationswissenschaft > Institut für Medizinsoziologie, Versorgungsforschung und Rehabilitationswissenschaft (IMVR) |
| Subjects: | Medical sciences Medicine |
| ['eprint_fieldname_oa_funders' not defined]: | Publikationsfonds UzK |
| Refereed: | Yes |
| URI: | http://kups.ub.uni-koeln.de/id/eprint/81461 |
https://orcid.org/0000-0001-5527-9238Downloads
Downloads per month over past year
Altmetric
Export
Actions (login required)
 |
View Item |