Interprofessional learning in hospitals is the primary keyword and focus of this post, and the question we answer is how to identify, measure, and sustain IPL between nurses and physiotherapists using qualitative methods. According to the PLOS ONE scoping review by Åhlund et al. (published August 7, 2026), workplace IPL is strengthened when organizations enable regular interaction, inclusive team cultures, and collaborative leadership. Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. This post translates the PLOS ONE findings into practical, AI-enabled qualitative research steps that clinical researchers, hospital educators, and UX/learning designers can apply to measure facilitators and barriers, create evidence-backed interventions, and track change over time.
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Start freeTopics
- interprofessional learning in hospitals
- IPL in clinical practice
- nurse physiotherapist collaboration
- AI qualitative analysis for IPL
Run this analysis on your own data
Evidano codes documents, interviews, survey responses and spreadsheets with AI, with your judgment in control at every step — and a free plan that doesn't expire.
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- Commentary on NewsPractical Steps: Interprofessional Learning in HospitalsEvidence-based guide to interprofessional learning in hospitals, with PLOS One findings and AI-enabled qualitative research methods. Actionable steps and tools to measure IPL.
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