Concept of Modeling Pharmacist-Led Medication Reviews in Clinical Setting: A Knowledge Graph-Based Approach

Kiesel J, Karsten-Dafonte K, Farker K, Köck J, Kessler C, Strobach D, Fischer AH, Wermund AM, Neumann D (2025)


Publication Type: Book chapter / Article in edited volumes

Publication year: 2025

Edited Volumes: Intelligent Health Systems – From Technology to Data and Knowledge

Series: Studies in Health Technology and Informatics

Book Volume: 327

Pages Range: 168-172

ISBN: 978-1-64368-596-0

DOI: 10.3233/SHTI250295

Abstract

Medication reviews (MR) are essential for optimizing patient care and drug therapy safety. This study examined clinical pharmacists' decision-making during MRs. Five clinical pharmacists from university hospitals in Germany conducted intermediate MRs utilizing the think-aloud method, which were transcribed and modeled as knowledge graphs representing their decision-making processes. Our findings revealed variability in decision paths and problem identification, despite pharmacists often reaching similar conclusions. The use of knowledge graphs provided valuable insights into the diverse approaches taken during MR and highlighted challenges in standardizing the process. Further research should refine graph models to capture implicit knowledge and standardize labeling.

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How to cite

APA:

Kiesel, J., Karsten-Dafonte, K., Farker, K., Köck, J., Kessler, C., Strobach, D.,... Neumann, D. (2025). Concept of Modeling Pharmacist-Led Medication Reviews in Clinical Setting: A Knowledge Graph-Based Approach. In Elisavet Andrikopoulou, Parisis Gallos, Theodoros N. Arvanitis, Rosalynn Austin, Arriel Benis, Ronald Cornet, Panagiotis Chatzistergos, Alexander Dejaco, Linda Dusseljee-Peute, Alaa Mohasseb, Pantelis Natsiavas, Haythem Nakkas, Philip Scott (Eds.), Intelligent Health Systems – From Technology to Data and Knowledge. (pp. 168-172).

MLA:

Kiesel, Julia, et al. "Concept of Modeling Pharmacist-Led Medication Reviews in Clinical Setting: A Knowledge Graph-Based Approach." Intelligent Health Systems – From Technology to Data and Knowledge. Ed. Elisavet Andrikopoulou, Parisis Gallos, Theodoros N. Arvanitis, Rosalynn Austin, Arriel Benis, Ronald Cornet, Panagiotis Chatzistergos, Alexander Dejaco, Linda Dusseljee-Peute, Alaa Mohasseb, Pantelis Natsiavas, Haythem Nakkas, Philip Scott, 2025. 168-172.

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