gms | German Medical Science

26. Jahrestagung des Netzwerks Evidenzbasierte Medizin e. V.

Netzwerk Evidenzbasierte Medizin e. V. (EbM-Netzwerk)

26. - 28.03.2025, Freiburg

Physiotherapists’ perceived user experience and utilization perspectives of an LLM-powered knowledge translation tool to enhance guideline adherence.

Meeting Abstract

  • author Diane Rosen - Alice Salomon Hochschule, Deutschland
  • Barbara Vogel - Klinikum Rechts der Isar der Technischen Universität, Deutschland
  • Michael Erhart - Alice Salomon Hochschule, Deutschland
  • author Dorian Zwanzig - Hochschule für Technik und Wirtschaft, Deutschland
  • Nils Reiter - Alice Salomon Hochschule, Deutschland

Die EbM der Zukunft – packen wir’s an!. 26. Jahrestagung des Netzwerks Evidenzbasierte Medizin. Freiburg, 26.-28.03.2025. Düsseldorf: German Medical Science GMS Publishing House; 2025. Doc25ebmV-04-04

doi: 10.3205/25ebm021, urn:nbn:de:0183-25ebm0212

Veröffentlicht: 27. März 2025

© 2025 Rosen et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

Background/research question: Clinical practice guidelines (CPGs) assist healthcare professionals in making evidence-based decisions. As a strategy to overcome barriers to their implementation in Physiotherapy (PT), the Guideline Assistant for Evidence-based Practice (GAEP), a knowledge translation tool based on a Large Language Model (LLM), was developed.

This study aimed to 1) Investigate German physiotherapists’ (PTs) experiences in using the digital tool 2) Explore how they imagine its utilization in their clinical context and 3) Analyse potential perception differences between outpatient and inpatient PT settings.

Methods: Six focus group interviews were conducted, with three in a university hospital inpatient setting and three in outpatient PT practices. The interviews were recorded, transcribed, and analysed using both inductive and deductive methods. Additionally, quantitative data was assessed using the User Experience Questionnaire (UEQ) and the System Usability Scale (SUS), as well as a self-developed questionnaire.

Results: The experience of the 20 participating PTs (11 outpatient and 9 inpatient) with the tool was positive, although participants criticized its prolonged response time. Its utilization was believed to be determined by the availability of time and the degree of workplace digitization. PTs highlighted the tool's potential to support answering clinical questions during daily practice. There were no considerable differences in experience across settings, whereas utilization perspectives varied depending on the clinical setting. The quantitative analysis revealed a score of 77.58% for the SUS and results above average in all five domains (Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, Novelty) of the UEQ. Compared to previous prototypes, GAEP performed better across all three questionnaires, highlighting its perceived usability for enhancing evidence-based practice.

Conclusion: LLM-based tools like GAEP might have the potential to enhance PTs’ guideline adherence. For successful implementation, it is essential to assess the specific needs of each setting. Although the results of the questionnaires are promising, future research should focus on validating the tool’s accuracy in a broader way, as well as comparing and refining its overall usability in terms of speed and content.

Competing interests: None to declare.