In Search for Methods to Support Electronic Patient Recruitment in a Multi-ICU Clinical Trial

Diesch K, Held J, Kraus S, Kunze U, Kraska D, Prokosch HU (2019)


Publication Type: Book chapter / Article in edited volumes

Publication year: 2019

Publisher: IOS Press

Edited Volumes: German Medical Data Sciences: Shaping Change – Creative Solutions for Innovative Medicine

Series: Studies in Health Technology and Informatics

Book Volume: 267

Pages Range: 262-269

DOI: 10.3233/SHTI190836

Abstract

Antimycotics are substances to treat fungal infections, a frequent cause of death on intensive care units. It is of great importance to administer such drugs only to patients who actually need them, since the unnecessary application leads to the selection of multiresistent fungi, making future therapy more difficult, and represents a significant financial burden for the health care system. Within the scope of a prospective study, which analyses the premature discontinuation of the administration of unnecessary antifungal drugs, two software platforms for recruitment support were implemented and compared at the University Hospital Erlangen. Besides technical aspects, such as the necessary development time and query runtimes, their usability and user friendliness for the clinical users were compared. We found that the practical identification of patient cohorts is possible both with a full featured business intelligence application and with a low effort approach based on language constructs of the Arden Syntax. Furthermore, this pilot evaluation led to important insights related to the clinical documentation context and data quality issues. A comprehensive analysis of the clinical environment and documentation context is essential for the final decision on the tool to be used.

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How to cite

APA:

Diesch, K., Held, J., Kraus, S., Kunze, U., Kraska, D., & Prokosch, H.-U. (2019). In Search for Methods to Support Electronic Patient Recruitment in a Multi-ICU Clinical Trial. In Rainer Röhrig, Harald Binder, Hans-Ulrich Prokosch, Ulrich Sax, Irene Schmidtmann, Susanne Stolpe, Antonia Zapf (Eds.), German Medical Data Sciences: Shaping Change – Creative Solutions for Innovative Medicine. (pp. 262-269). IOS Press.

MLA:

Diesch, Katharina, et al. "In Search for Methods to Support Electronic Patient Recruitment in a Multi-ICU Clinical Trial." German Medical Data Sciences: Shaping Change – Creative Solutions for Innovative Medicine. Ed. Rainer Röhrig, Harald Binder, Hans-Ulrich Prokosch, Ulrich Sax, Irene Schmidtmann, Susanne Stolpe, Antonia Zapf, IOS Press, 2019. 262-269.

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