Interprofessional learning in hospitals often fails to scale because organizational structures and everyday interactions do not support regular learning between professions; clinical educators and healthcare managers need clear, evidence-based levers to change that. Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. According to the scoping review by Åhlund, Johnsson, and Rönnerhag published in PLoS One on August 7, 2026, sustainable IPL between nurses and physiotherapists depends on three mutually reinforcing elements: regular interprofessional interaction, inclusive team culture, and collaborative leadership. This post summarizes the PLoS One findings, highlights concrete numeric results from the review (including the July 2026 search update), and shows how AI-enabled qualitative research can accelerate synthesis and actionable change for clinical teams.
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- interprofessional learning in hospitals
- IPL nurses physiotherapists
- workplace interprofessional learning
- AI qualitative analysis interprofessional
Run this analysis on your own data
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Keep reading
- Commentary on NewsSustaining IPL: interprofessional learning in hospitalsActionable synthesis of IPL facilitators and barriers from a PLOS One scoping review, plus AI-enabled qualitative research tactics to scale interprofessional learning in hospitals.
- Commentary on NewsSustainable IPL: interprofessional learning in hospitalsPractical steps for sustaining interprofessional learning in hospitals, from an August 7, 2026 PLOS ONE scoping review; learn AI-enabled qualitative research tactics and next steps.
- 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.
