INVITATION TO PARTNER, FACULTY RESEARCH COLLABORATORS
Faculty Research Collaborators
for AI in Clinical Communication Education
Inviting a limited number of faculty from Indian nursing and medical colleges to lead structured, ethics-aware research on AI-supported clinical communication practice.
The moment for evidence is now.
AI in nursing and medical education is at a policy inflection point. Regulators, accreditation bodies, and institutions are asking what responsible AI adoption looks like, and what evidence supports it.
The answer cannot come from opinion alone. It needs structured, institutionally grounded education research, led by the educators who prepare tomorrow's clinicians.
Policy discussions are happening now. Evidence must lead them.
Faculty-led research is how we get there.
Who we're looking for
Faculty members from Indian nursing and medical colleges ready to lead credible, ethics-reviewed research.
A research partnership, clearly defined.
Faculty Collaborators Bring
- Research question ownership and academic framing
- Institutional context and learner cohort access
- Ethics committee approval or institutional exemption
- Study coordination with learners
- Academic analysis and publication leadership
Lingua CoPilot Medical Provides
- Limited no-cost platform access for an agreed learner cohort
- Rubric-scored simulations across 6 clinical communication domains
- Formative coaching and structured debrief
- Cohort-level reporting
- Research design discussion and product context
Faculty-led studies. Platform-supported evidence.
Research that advances the field.
Strong first-wave questions and possible outputs
Feasibility and acceptability studies.
Is AI-simulated clinical communication practice feasible and acceptable for nursing and MBBS students in Indian institutional settings?
Pre-post education intervention studies.
Does structured practice improve rubric-scored communication performance over 8 to 12 weeks, across empathy, clarity, safety language, and handoff completeness?
Mixed-methods implementation pilots.
How do learners and faculty perceive AI patient, family, and clinician role-play as preparation for real clinical communication?
Outcome Measures
Rubric-scored communication performance, learner confidence, completion and engagement rates, learner and faculty acceptability.
Possible outputs: feasibility study, mixed-methods pilot, pre-post study, conference abstract, institutional pilot report.
Clear expectations from the start.
This Programme IS
- A selective faculty collaboration track
- Ethics-reviewed or institutionally approved
- Faculty-led with platform support
- Focused on clinical communication education
- Expressions of interest with careful screening
This Programme IS NOT
- Guaranteed publication
- Open enrollment or free access for any college
- Clinical AI decision-support research
- A shortcut to publish a paper
- A replacement for ethics committee review
Credible evidence takes time, discipline, and the right partnership.
Frequently asked questions
Interested in building the evidence base for AI in clinical communication education?
Email support@linguacopilot.in with subject "Faculty Research Collaboration - [Institution Name] - [Your Name]", or DM Manish Chitkara, Founder and CEO, on LinkedIn.