Specialty guide · India
Psychiatry
Mental-health demand, treatment gaps, outpatient practice, digital mental health and AI.
Psychiatry as a career
Psychiatry combines outpatient longitudinal care, inpatient and emergency work, consultation-liaison practice, addiction, child and geriatric mental health, academics and a growing digital-mental-health sector.
Clinical demand
India’s National Mental Health Survey estimated that 10.6% of adults had a mental disorder and documented large treatment gaps. A 2025 government summary cited treatment gaps of roughly 70%–92% and only about 0.75 psychiatrists per 100,000 people.
Demand source: open source
Work settings
| Setting | Typical role | Main constraint |
|---|---|---|
| Government / public hospitals | District mental-health programs, medical colleges, psychiatric services. | Workforce shortages remain substantial. |
| Private hospitals | Inpatient and outpatient psychiatry, consultation liaison and addiction. | Patient mix and hospital integration vary. |
| Independent practice | Outpatient longitudinal care and psychotherapy-integrated models. | Trust, continuity and referral networks matter. |
| Academia / research | Teaching, epidemiology, trials and neuroscience-linked research. | Strong research and teaching potential. |
| Digital mental health / industry | Telepsychiatry, digital therapeutics, clinical product, medical affairs. | Rapidly evolving but regulation and evidence quality matter. |
Practice economics
Psychiatry has relatively low equipment requirements for outpatient practice, but consultation time is long and revenue models differ from procedure-heavy specialties. Teleconsultation can expand reach, while hospital and addiction services create other models.
No generic salary range is shown unless a dated source supports the role, geography and sector.
Training capacity
State and college counts are shown only where the source rows can be checked exactly.
Higher-training and focused routes
Eligibility rules can change. The current NMC/NBEMS/NEET-SS bulletin governs formal feeder eligibility.
Research, industry and teaching
AI applications and workflow
AI in psychiatry is being explored for prediction, screening, language analysis and digital phenotyping, but translation into routine clinical care remains limited. Bias, privacy, interpretability and the quality of mental-health labels are major constraints.
Regional variation
State-level mental-health prevalence and workforce estimates are uneven. MedCareer Atlas should distinguish between directly measured survey data and modeled burden rather than rank states from national averages.
Disease burden, workforce, infrastructure and private-market conditions are reported separately; one is not used as a proxy for another.
Regional figures: open source
Current openings
Links open external job searches. Listings change continuously.
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