Ramaiah School of Public Health
Ramaiah School of Public Health · MSRUAS
Digital Health Lab
RAMAIAH SCHOOL OF PUBLIC HEALTH
mHEALTH · AI & HEALTHCARE ANALYTICS · TECHNOLOGY IN PUBLIC HEALTH

We build the digital tools our School teaches, researches and runs on: exam platforms, bridge courses, research software, mHealth apps and privacy-first AI.

Developed by the team at Ramaiah School of Public Health under the guidance of Dr Nandakumar B S, Dean, RSPH.

See our live tools AI & infrastructure primer
10
Tools built in-house
8
Live on the web today
4
mHealth & AI apps
21
Students examined on Pariksha
Innovations

Working software, built at the School

Every tool below was designed and developed in-house for teaching, research, administration or patient care. Tap Open to use the live version.

Teaching · AssessmentLive

Pariksha

Online MCQ examination portal with live examiner start/stop, per-student question shuffling, anti-cheat checks, instant marks, e-mailed score cards and certificates.

Used for a real MPH class examination
Open Pariksha
Teaching · E-learningLive

PRISM Bridge Course

30-day bridge course for incoming MPH/MHA students: public health, research methods, informatics, statistics and management, with module certificates and an AI tutor.

RSPH Batch 2026
Open PRISM
Teaching · Mobile learningLive

PHAMORA

Offline pharmacology learning app for medical students (14 modules, shuffled quizzes, study reminders) with a research validation portal for pre/post tests and expert content validity.

Free server: first load may take about 30 seconds.
Open portalGet the app
Research · Evidence synthesisLive

Sangam NMA

Network meta-analysis workbench: fixed and random effects models, network plots, forest plots, rankings, CSV and Word report export.

Open Sangam
Research · Health economicsLive

Artha HE

Health-economics workbench: costing, cost-effectiveness and ICERs, decision modelling, sensitivity analysis and budget impact.

Open Artha
Administration · AILive

Vritta

Meeting recorder with live transcription and automatically drafted minutes. Runs in the browser.

Open Vritta
AdministrationLive

ScholarDesk

Academic management app for faculty, with automated e-mail reminders.

Sign-in required.
Open ScholarDesk
AI · Clinical decision supportLive · in validation

Diabot

Diabetes and NCD assistant that answers only from Indian clinical guidelines (ICMR, RSSDI, MoHFW, WHO-SEARO), cites the page for every claim and declines when the guidelines are silent. Clinician validation portal built in.

15 guidelines · 4,215 indexed passages
Open Diabot
mHealth · TuberculosisAndroid app

TB Mitra

Patient-support app for people on TB treatment, built natively for Android with 13 screens and on-device data storage.

mHealth · DiabetesIn development

DiabeticCare

Self-management app for people with type 2 diabetes in India, built for Android.

Focus areas

What the lab works on

Four areas that match the School's teaching and research programmes.

mHealth interventions

Apps for TB, diabetes and learning, designed for Indian patients and students, and evaluated with proper study designs.

AI & healthcare analytics

Guideline-grounded chatbots, evidence synthesis, health economics and explainable models for public health decisions.

Digital teaching

Exam platforms, bridge courses and AI tutors for MPH and MHA students, run by the School itself.

Technology in public health

Data privacy, digital governance and responsible AI, taught through tools students can open and use.

Private AI for the School

Our own AI assistant, running on our own machine

Student records, exam data, interview transcripts and internal documents should not be uploaded to public AI services. We are setting up open-source language models on an NVIDIA DGX Spark AI system on campus, connected to the School's own documents and fine-tuned on our teaching material, with Mac mini machines for app development and always-on servers. Data stays on the campus network.

  • Teaching: course tutor for MPH/MHA students, MCQ drafting for Pariksha
  • Research: assisted qualitative coding, literature screening, analysis on data that cannot leave campus
  • Administration: minutes, circulars, accreditation drafts, policy search
  • Governance: university-owned hardware, IT-controlled access, a human approves every output
Roadmap

From tools to a full Digital Health Lab

A staged plan, with outputs to show at each step.

Now

Built and running

10 tools developed, 8 live on the web, used in real teaching and research.

Phase 1

Institutional foundation

  • NVIDIA DGX Spark AI system and two Mac mini development and server machines on the campus network
  • Secure storage with nightly backups
  • Apps published under the university's name
First 90 days

Private AI in use

  • SPH assistant grounded in our curriculum
  • Local meeting transcription
  • First fine-tuned public-health model, evaluated by faculty
Phase 2

Full lab, grant-funded

Expanded compute and a research engineer, funded through extramural grants (ICMR, DST, DBT/BIRAC, IndiaAI).