Documentation
Win back time for patients.
Use AI scribes such as Nuance DAX, Abridge and Suki for accurate clinical notes.
Apply AI · For doctors, nurses and clinicians
AI for Healthcare Professionals. Give time back to patients.
Rooman's AI for Healthcare Professionals is a 36-hour, 8-week online course for doctors, nurses and healthcare professionals. You learn to use AI for clinical documentation, patient communication, literature search, prior authorisation and hospital operations, then prove it in a capstone and earn the Rooman Apply AI Certificate.
36 hours11 modulesWeekly live cohortCapstone project
What you'll be able to do
Use AI safely in clinical work.
Clinical documentation is consuming hours that should be patient time. Diagnostic AI is starting to earn its reputation, and operations AI is making hospitals more efficient.
Clinical
Support decisions, under supervision.
Differential diagnosis assistance, rapid literature review and treatment planning, with the clinician always in charge.
Operations
Run a smoother practice.
Prior authorisation, patient follow-up and hospital operations, with HIPAA- and DPDP-compliant data handling.
Skills covered
- Clinical documentation with AI scribes
- Patient communication automation
- Diagnostic AI with proper supervision
- Medical literature search at speed
- Treatment planning support
- Prior authorisation automation
- HIPAA-compliant AI workflows
- Hospital operations optimisation with AI
Who it's for
Built for clinicians in practice today.
For doctors, dentists, nurses and allied health professionals, whether you work in a hospital or run your own clinic.
Roles where these skills are used
- Practising Doctor
- Nurse
- Hospital Administrator
- Clinic Owner
- Allied Health Professional
- Healthcare Consultant
Entry requirements.
- A medical or clinical qualification (MBBS, BDS, BSc Nursing or allied health), or current clinical practice
- Completion of AI for ALL
New to AI? Start with AI for ALL, Rooman's 20-hour, 9-module foundation course. Not sure which course fits? Take the 10-minute career assessment.
36 hours · 11 modules
A curriculum built around the clinical day.
Each module follows a real task from your job and ends with a piece of work you keep.
01AI in clinical practice
Where AI is winning, and the clinical-liability landscape.
Topics covered
- Where AI is already used in hospitals and clinics
- The evidence behind clinical AI tools
- Who is liable when AI is involved in care
- Choosing safe first uses for your practice
You produce: a map of AI uses in your practice.
02Clinical documentation with AI scribes
Nuance DAX, Abridge and Suki, and what makes a good SOAP note.
Topics covered
- How ambient AI scribes such as Nuance DAX, Abridge and Suki work
- Reviewing and correcting AI-drafted notes
- What makes a good SOAP note
- Patient consent for recording consultations
You produce: a reviewed SOAP note drafted with a scribe.
03Patient communication and education
Translation, education materials and follow-up letters.
Topics covered
- Explaining diagnoses and procedures in plain language
- Translating patient materials into regional languages
- Drafting follow-up letters and care instructions
- Checking every patient-facing document for accuracy
You produce: a patient education leaflet.
04Differential diagnosis assistance
When AI helps, when it doesn't, and the supervision rule.
Topics covered
- Using AI to widen a differential diagnosis
- Where AI suggestions go wrong
- The supervision rule: AI suggests, the clinician decides
- Documenting how AI was used in a decision
You produce: a case review with AI suggestions and your judgement.
05Medical literature search
PubMed AI, specialty tools and rapid evidence review.
Topics covered
- AI-assisted PubMed searches
- Specialty evidence tools
- Summarising studies quickly and accurately
- Checking citations and study quality
You produce: a rapid evidence summary.
06Treatment planning support
Care pathways, medication management and second-opinion AI.
Topics covered
- Building care pathways with AI support
- Medication management and interaction checks
- Using second-opinion AI safely
- Keeping treatment decisions with the treating clinician
You produce: a care-pathway outline.
07Prior authorisation and insurance
AI-assisted prior authorisation and appeals drafting.
Topics covered
- Preparing prior-authorisation requests with AI
- Assembling supporting clinical evidence
- Drafting appeals for denied claims
- Working with TPAs and insurers
You produce: a prior-authorisation request.
08Patient follow-up automation
Reminder flows, symptom check-ins and satisfaction surveys.
Topics covered
- Automated appointment and medication reminders
- Symptom check-ins after treatment
- Patient satisfaction surveys
- Escalating warning signs to the care team
You produce: a follow-up sequence.
09HIPAA, data privacy and clinical liability
BAA requirements, PHI handling and documentation, alongside India's DPDP Act.
Topics covered
- Handling protected health information (PHI) safely
- HIPAA business associate agreements (BAAs) for US-linked work
- India's DPDP Act and patient data
- Documentation and audit trails
You produce: a data-handling checklist.
10Hospital operations
Scheduling, emergency triage, bed management and staffing models.
Topics covered
- Scheduling and reducing waiting times
- Emergency department triage support
- Bed management and patient flow
- Staffing models and rosters
You produce: an operations improvement plan.
11Capstone
Automate an end-to-end clinic workflow, from patient intake to follow-up.
Topics covered
- Mapping a clinic's workflow from intake to follow-up
- Automating intake, documentation and reminders
- Adding privacy and supervision checks
- Presenting the time saved and the safeguards
You produce: a complete clinic workflow.
Tools covered
The tools you'll work with.
You practise on the AI scribes and clinical tools healthcare teams are adopting.
| Tool group | Tools | What you use them for |
|---|---|---|
| AI assistants | ChatGPT, Claude | Patient education, letters and literature review |
| AI scribes | Nuance DAX, Abridge, Suki | Clinical documentation and SOAP notes |
| Clinical AI | Med-PaLM-derived tools, EHR-integrated AI | Clinical questions and in-record assistance |
Capstone
Automate a clinic workflow, end to end.
Your capstone automates a sample clinic's workflow from patient intake to follow-up. You show where AI saves clinical and admin time, and where the clinician must review and decide.
Along the way you complete 4–6 lab exercises.
Your capstone portfolio.
- A reviewed SOAP note drafted with a scribe
- A case review with AI suggestions and your judgement
- A care-pathway outline
- A follow-up sequence
- An operations improvement plan
Your credential
Rooman Apply AI Certificate.
Healthcare Professionals specialisation. Your certificate is stamped with the specialisation you complete.
Your capstone portfolio shows what you can do with AI, which is what a manager or employer will ask to see.
What's included
Everything you need to finish.
- Certified industry-expert trainers
- Weekly live cohort sessions online
- AI-powered LMS with 1-year access
- 4–6 hands-on labs and a capstone project
- Résumé and LinkedIn workshop
- Access to Rooman's network of 1,000+ hiring partners
Who is this course for?
For doctors, dentists, nurses and allied health professionals, whether you work in a hospital or run your own clinic.
Do I need to complete AI for ALL first?
Yes. AI for ALL is Rooman's 20-hour, 9-module foundation course and the entry point to every Apply AI specialisation.
How much time does it take?
36 hours over 8 weeks, combining self-paced lessons with one live cohort session each week.
Is it online or classroom?
Online, with weekly live cohort sessions, so you can study alongside a full-time job.
Is the content medically reviewed?
Yes. Content is reviewed by practising clinicians.
Will I use AI scribes hands-on?
Yes: Nuance DAX, Abridge and Suki, in depth.
How do HIPAA and India's data rules apply?
The course covers both HIPAA, for US-linked work, and India's DPDP Act.
Does AI replace clinical judgement?
No. Module 4 teaches the supervision rule: AI can suggest, but the clinician decides.
Does this help with healthtech roles?
Yes. Healthtech product roles look for exactly these skills.
What is the capstone?
You automate an end-to-end clinic workflow, from patient intake to follow-up.
Can I practise with real patient data?
No. Practice uses sample or anonymised material. The course teaches how to handle patient data safely under HIPAA, India's DPDP Act and your hospital's policies.
Which certificate will I receive?
The Rooman Apply AI Certificate, stamped with your Healthcare Professionals specialisation.
How do I find out fees and batch dates?
Talk to a Rooman counsellor on 080 6945 1000 or WhatsApp +91 97390 86029. They will share current fees, payment options and upcoming batch dates.
Can Rooman train my whole clinical team?
Yes. Corporate cohorts run the same curriculum for your clinical team, and Rooman has supported enterprise training since 2008.
Related courses.
All Apply AI courses
20 hrsStart hereAI for ALLThe 20-hour foundation for every Apply AI specialisation.
32 hrs10 modulesAI for Operations & Supply ChainAI from demand forecasting to delivery.
28 hrs9 modulesAI for Educators & TrainersAI for lesson planning, assessment and feedback.For teamsTraining your whole clinical team?Run this course as a private cohort, as part of Rooman's AI Workforce Readiness programme.Talk to usNext step
Start with a conversation.
Tell us about your role and a counsellor will call you with batch dates, fees and payment options.
- Call: 080 6945 1000
- WhatsApp: +91 97390 86029
- Email: hello@rooman.com
Course details reviewed on 25 September 2026.