Verbesserte Patientensicherheit durch „clinical decision support systems“ in der Labormedizin
Abstract
Objectives: The research project on digital laboratory medicine (AMPEL) aims at developing a CDSS based on laboratory diagnostics, which supports practitioners in ensuring the necessary medical consequences.
Materials and methods: A literature review of CDSSs describes the current state of research. The research project AMPEL is presented with its objectives, challenges, and first results. Furthermore, the development of a framework and reporting system is illustrated through the clinical example of severe hypokalemia.
Results and conclusion: Through interdisciplinary development and constant optimization, a specific CDSS with high acceptance among clinicians was developed. Initial results in the case of severe hypokalemia show a positive effect on patient care. Thereby, more complex frameworks such as sepsis diagnostics or acute coronary syndrome are implemented. The limited availability of standardized and digital clinical data is challenging. In addition to the application of classic decision trees in CDSS, the use of machine learning offers a promising perspective for future developments.
Bibliographical data
Translated title of the contribution | Improved patient safety through a clinical decision support system in laboratory medicine |
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Original language | German |
ISSN | 2731-7080 |
DOIs | |
Publication status | Published - 27.03.2020 |
Externally published | Yes |