Using AI as a catalyst for interprofessional learning
A mentored, human-first learning journey for 2025 and 2026 fellows. This file works offline: it saves work in this browser and can export a portable learner record.
1–30 November 20262–3 hours each weekFictional cases onlyHuman accountability
Start here
Complete this short set-up before working through the module. Do not enter names, emails, phone numbers, patient details, or identifiable workplace information.
Privacy and safety boundary. This module is educational; it does not provide clinical advice. Any AI use must follow current institutional policy. Public AI tools must never receive identifiable or restricted information.
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completion evidence recorded
Your completion pathway
Work through the required evidence. A facilitator-verified certificate is unlocked only after the full record is complete.
What you will do
1–2 NovPre-assessment3–7 NovActivity 1 · compare a human and AI response8–15 NovActivity 2 · case-based teamwork16–22 NovActivity 3A · intervention design23–27 NovActivity 3B · sustainability appraisal28–30 NovReflection, post-assessment and feedback
Learning outcomes
Pre- and post-assessment
Complete the knowledge items before the module and again at the end. Your score is for reflection; the facilitator uses aggregate, de-identified results.
Knowledge check
Confidence check
Rate each statement from 1 (strongly disagree) to 5 (strongly agree).
Activity 1 · Compare before you trust
3–7 November · Individual · 45–60 minutes · Moderators: Siddalingaiah H S and Queen Alice
Task: draft a human response first, then compare it with an AI output or the supplied sample. Your assessed skill is judgement, not access to a tool.
Fictional vignette
Mrs A, an older adult, has had two recent falls. She takes multiple medicines, worries about losing independence, and lives with a daughter who is exhausted by caregiving. A follow-up appointment is delayed because transport is unreliable. What should an interprofessional team notice and do?
Know · Feel · Do
Safe prompt pattern
Role + task + boundary + verification. Example: “Act as a learning stimulus for an interprofessional student team. Using only this fictional, de-identified scenario, list questions the team should ask, possible role contributions and uncertainty to verify. Do not provide clinical advice or invent sources.”
The team should immediately ask the physician to adjust medication and tell the daughter to monitor falls. A nurse can give general advice. The family should follow the plan closely.\n\nAudit clue: this response is confident but narrow. It assumes one profession leads, overlooks autonomy and transport, provides no verification route, and underuses rehabilitation, pharmacy, social and caregiver perspectives.
AI transparency
Five-part audit
Criterion
Self-rating 1–4
Safe, bounded and transparent AI use
Interprofessional reasoning and role integration
Critical comparison and verification
Person-centred, equitable next action
Activity 2 · Build one shared plan
8–15 November · Group · 90–120 minutes · Moderators: Faisal Hassan, Anand Bhosale and Purohit Saraswathi
Choose or confirm your fictional case
Team roles
Rotate or assign: chair, equity monitor, evidence checker, AI auditor and rapporteur. Every profession speaks before synthesis begins.
Audit the group’s AI plan or supplied sample
Recommend a standard discharge leaflet, schedule a routine review and ask the primary clinician to coordinate. The family should receive the plan.\n\nAudit clue: this is generic and omits profession-specific contributions, shared goals, access barriers, closed-loop confirmation, uncertainty and escalation.
Criterion
Self-rating 1–4
Person-centred reasoning
Role integration and communication
Critical AI audit, safety and equity
Feasible shared action and monitoring
Clear disclosure and revision trace
Activity 3A · Design an AI-supported IPE intervention
16–22 November · Group project · 120–150 minutes · Moderators: Sidarth and Vrinda J Bhat
Design a small, testable learning intervention—not a technology procurement proposal. The AI role must remain bounded and include a no-AI fallback.
Proposal quality check
Criterion
Self-rating 1–4
Need and stakeholders
IPE mechanism and learning alignment
Responsible, equitable AI design
Feasibility, evaluation and next test
Activity 3B · Sustainability appraisal
23–27 November · Individual · 60–75 minutes · Moderators: Sidarth and Vrinda J Bhat
Educational rating only. This 1–4 rating is informed by the NHS Sustainability Model but is not its official weighted score. Rate using evidence, identify the weakest factor, then name one owned action.
Close the loop
28–30 November · Reflection, post-assessment and feedback · Moderators: Harini Priya and Jasmeen Shaikh
Monthly feedback
Completion confirmation. These confirmations are a local checklist. The facilitator must review submitted work and allocate the certificate number before the learner prints the final certificate.
Certificate generator
Complete the local certificate details after the facilitator’s review. This tool prints a certificate; it does not replace the official completion register.
Certificate locked: complete the module evidence and facilitator verification.
FAIMER GROUP 2 · NOVEMBER 2026
Certificate of completion
This certifies that
Participant name
has successfully completed the mentored learning web module Using AI as a catalyst for interprofessional learning, including the required assessments, individual and group learning activities, sustainability appraisal, reflection and feedback.
Module period: 1–30 November 2026
Certificate numberTo be assigned
Verified byTo be assigned
Issue dateTo be assigned
Implementation roles and sources
Faculty in charge: Dr Sushma Prabhat. Record keeping: Sidarth, Anand Bhosale and Siddalingaiah H S. Summary: Queen Alice and Jasmeen Shaikh by 5 December 2026.
Learning framework references: WHO Framework for Action on Interprofessional Education and Collaborative Practice; IPEC Core Competencies Version 3 (2023); UNESCO Guidance for Generative AI in Education and Research (2023); NHS Sustainability Model.
Completion record: pre + post assessment, Activities 1, 2, 3A and 3B, reflection, feedback, and AI disclosure where applicable. Submit required work through the approved learning platform.
References and resources
Open the source publications, sustainability guide, learner deck and module materials used to build this learning experience.
How to use these links: start with WHO and IPEC for the learning framework, use UNESCO for responsible AI boundaries, and use the NHS model during Activity 3B.
Journal articles and methods references
These references are drawn from the Group 2 research-papers pack. Use the links for further reading; verify final metadata and author order against the publisher record before formal publication.
Reading route: begin with Hu and Agustina for the AI–IPE evidence base, then use Maphalala, Vinci and Guo for learning, assessment and equity perspectives. Use Tricco, JBI, White, Page and O’Cathain for the research-methods foundation.