This post summarizes actionable findings from a PLOS One scoping review and shows how AI-enabled qualitative research can help researchers, clinical educators, and hospital managers measure and act on interprofessional learning in hospitals. The primary keyword for this page is interprofessional learning in hospitals and the payoff is clear: practical steps and analysis methods that translate the PLOS One evidence into program design and evaluation. According to the PLOS One scoping review (Åhlund et al., 2026), sustainable interprofessional learning depends on organizational structures, team climate, and regular interaction among professionals.
Key Takeaways
According to the PLOS One scoping review, sustainable interprofessional learning requires organizational structures that enable regular interaction among professionals, inclusive team cultures, and collaborative leadership (PLOS One).
- The PLOS One review (published August 7, 2026) screened 1, 973 records and included 11 empirical studies after full-text review in July 2026, showing a narrow but consistent evidence base.
- According to the PLOS One review, 10 of the 11 included studies (91%) used qualitative designs and the reported sample sizes ranged from 18 to 333 participants across studies.
- According to the PLOS One review, facilitators clustered into three themes (socialization/familiarization, positive team climate, conducive organizational structures) and barriers clustered into three themes (limited structures, constrained interactions, non-conducive workplace culture).
- As Åhlund et al., 2026 write, "Sustainable IPL requires organizational structures that enable regular interaction among professionals, inclusive team cultures, and collaborative leadership."
What happened: scope and methods of the PLOS One scoping review
Answer: The PLOS One scoping review mapped facilitators and barriers to interprofessional learning in adult hospital settings by systematically searching three databases up to July 2026.
According to the PLOS One scoping review, the authors searched PubMed, CINAHL, and Scopus from inception to July 2026 and updated the search in July 2026, which yielded 2, 206 records before deduplication and 1, 973 titles and abstracts screened.
According to the PLOS One scoping review, after title/abstract and full-text screening the authors included 11 peer-reviewed empirical studies published between 2009 and 2022, and the review followed Arksey and O’Malley and PRISMA-ScR guidance.
According to the PLOS One scoping review, the included studies came mostly from Australia (4/11), Sweden, Norway, Canada, and Israel, and used qualitative interviews (10/11), observations (5/11), and surveys (3/11) to identify facilitators and barriers.
Findings snapshot
| Date / Source | Metric | Value (from PLOS One) | Implication for qualitative research |
|---|---|---|---|
| July 2026 / PLOS One | Records screened | 1, 973 titles and abstracts screened | Large initial search requires reproducible screening logs and deduplication steps |
| July 2026 / PLOS One | Studies included | 11 empirical studies included | Synthesis must prioritize cross-study thematic coding to find common facilitators/barriers |
| 2009-2022 / PLOS One | Study years | Included studies published between 2009 and 2022 | Temporal spread suggests themes are persistent but context-dependent |
| July 25, 2026 / PLOS One | Publication date | Article published August 7, 2026 (accepted July 25, 2026) | Use the review as current evidence for policy and program design |
| PLOS One analysis | Design mix | 10/11 qualitative (91%), observations 5/11, surveys 3/11; sample range 18–333 | Qualitative synthesis should weight recurrent themes and triangulate with observations |
Implications for researchers and clinical educators
Answer: Researchers and clinical educators should measure both structural conditions and day-to-day interactions when studying interprofessional learning in hospitals.
According to the PLOS One scoping review, organizational structures such as shared meeting time, co-location, and leadership support were reported as facilitators in 10 of the included studies, indicating that structural metrics (meeting frequency, co-location proportion) are essential outcome variables.
According to the PLOS One scoping review, socialization practices like shadowing, joint assessments, and team rounds were documented in 6 studies as facilitators, meaning ethnographic observation and coded interaction logs are effective qualitative measures.
According to the PLOS One scoping review, barriers such as siloed education backgrounds, hierarchical team dynamics, and physical separation were repeatedly identified, so data collection should include role perceptions, power dynamics, and spatial mapping.
How Evidano Helps
Problem: Scattered qualitative data across interviews, observations, and meeting notes → Solution
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.
According to the PLOS One scoping review, studies relied heavily on interviews and observations (10/11 used interviews), so centralizing transcripts improves transparency and traceability.
Evidano feature mapping: upload transcripts and observation field notes, run thematic coding and co-occurrence analysis, and export reproducible codebooks (Evidano features).
Problem: Need to quantify facilitator/barrier frequency across segments → Solution
Answer: Use Evidano to combine thematic coding with frequency and cross-segment analysis to show how facilitators or barriers vary by ward, profession, or student status.
According to the PLOS One scoping review, facilitators and barriers clustered in clear themes across 11 studies, so frequency analysis helps prioritize interventions where themes concentrate.
Evidano feature mapping: run content frequency analysis and cross-segment comparisons to surface that, for example, co-location issues are concentrated in particular wards.
Problem: Long manual transcription and PII risk → Solution
Answer: Transcription delays and privacy risk slow qualitative projects; Evidano offers transcription with custom dictionaries and PII redaction to speed safe analysis.
According to the PLOS One scoping review, observations and interviews were central methods; accurate transcripts with consistent terminology speed coding and reduce bias.
Evidano feature mapping: use Evidano speech-to-text plus PII redaction to produce analysis-ready transcripts while protecting participant privacy.
Problem: Sharing findings with hospital leaders → Solution
Answer: Leaders prioritize metrics and visuals; Evidano creates visualizations and exportable summaries to translate qualitative themes into action items.
According to the PLOS One scoping review, leadership and organizational structure are major levers for change, so clear reports and dashboards help secure managerial buy-in.
Evidano feature mapping: generate word clouds, co-occurrence networks, and hierarchical code trees to provide concise evidence to decision makers.
FAQ: interprofessional learning in hospitals
What is interprofessional learning in hospitals?
Answer: Interprofessional learning in hospitals means professionals from different disciplines learn with, from, and about each other while working in clinical practice.
According to the PLOS One scoping review, IPL "entails professionals from diverse disciplines learning with, from, and about one another to enhance collaboration and mutual understanding, " and it supports patient-centered care and safety.
How can qualitative research measure facilitators and barriers to IPL?
Answer: Qualitative research measures IPL by combining interviews, observations, and thematic synthesis to identify recurring facilitators and barriers.
According to the PLOS One scoping review, 10 of 11 included studies used interviews and 5 used field observations, indicating that ethnographic methods and thematic coding are the recommended approach for capturing socialization, team climate, and organizational features.
Can AI tools safely process hospital transcripts for IPL research?
Answer: AI tools can safely process transcripts when they provide PII redaction, encryption, and do not train third-party models on sensitive data.
According to best-practice data governance principles and the needs identified in the PLOS One scoping review, transcription and redaction reduce manual risk and speed coding; researchers should choose platforms that document encryption and non-training of external models.
How do you turn qualitative IPL findings into organizational change?
Answer: Turn findings into change by presenting prioritized barriers with frequency evidence, actionable recommendations, and pilotable interventions to leadership.
According to the PLOS One scoping review, organizational structures and leadership are central facilitators, so combine thematic evidence (e.g., co-location problems) with recommended interventions (shared meeting times, supervisor incentives) and measurement plans.
Conclusion & Next Steps
According to the PLOS One scoping review, interprofessional learning in hospitals strengthens when organizations build structures for regular interaction, cultivate inclusive team climates, and support collaboration through leadership.
According to the PLOS One scoping review, the mapped facilitators and barriers provide clear targets for qualitative evaluation and intervention design.
If you run interviews, observations, or open-text surveys on IPL, Evidano can accelerate synthesis from raw transcripts to actionable themes and visualizations (Evidano features).
Next step: Try Evidano for free to upload transcripts, run thematic and frequency analyses, and create leader-facing summaries that translate PLOS One evidence into measurable change.
Topics
- interprofessional learning in hospitals
- IPL in hospitals
- qualitative analysis interprofessional learning
- nurses physiotherapists collaboration
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