A patient arrives with a problem. What happens next?
Registration. A queue. Vital signs. A conversation with the doctor. Investigations, reports, treatment and follow-up. Each step creates information. The challenge is helping that information travel with the patient, so the next person in the care team can use it.
That is the starting point for the work on this page: how can we connect everyday clinical care with the possibilities of AI?
A doctor listens to a patient’s story, notices a change in their gait, feels a swollen joint and interprets the findings together. Sight, sound, touch and sometimes smell contribute to a clinical picture shaped by knowledge and experience.
For software to support that work, relevant observations need to become usable data: a recorded symptom, a measured vital sign, a structured examination finding or an investigation result linked to the same patient.
Good clinical information gives AI something useful to work with. Capturing it well is a practical first step.
Explore the journey from the first request for care to registration, examination, investigations, diagnosis, treatment and follow-up. At each stage, we ask:
The projects below connect these questions to specific workflows: clearer registration, coordinated queues, structured examination templates, combined datasets and clinician-reviewed decision support.
Together, they outline a practical direction for AI-ready hospitals in India, grounded in the work doctors, nurses, staff and patients already do.
Start with the patient journey below, then explore the systems that could connect it. The collection includes proposals, teaching examples and prototypes; each project explains its own scope.
Dr. Rakesh Kumar · Associate Professor of Orthopaedics, IGIMS Patna · View my academic profile, publications and courses →
Clinical systems & digital health initiatives
Follow a patient from the decision to seek care to the final follow-up. See how the OPD and Emergency/IPD pathways connect before exploring the individual systems.
02See how registration, vitals, examination, blood investigations, histopathology and radiology could feed a connected clinical record.
03Registration, consultation, investigations, pharmacy: the patient experiences them as one visit. Explore how to coordinate the journey across all these waiting points.
04Explore symptom-based registration that patients, attendants or reception staff can complete, with department options and waiting times brought into one workflow.
05Explore a proposed telephone voice-agent workflow that gathers symptoms, prepares a structured summary and supports appointment booking.
06A proposed kiosk connects height, weight and vital-sign measurements to the registration record and the slip the patient carries to the doctor.
07See how registration details, symptoms and vital signs can come together on the documents a patient brings into the consultation.
08Explore department-specific examination checklists and summaries for clinical teaching and documentation across nine specialties.
09Inspect synthetic records that bring registration, vital signs and investigations into the same dataset, ready to explore for teaching and model development.
10Explore a decision-support concept that presents ranked diagnostic possibilities for the doctor to assess, accept or reject.
11Explore a proposed medication-support workflow for reviewing weight-based doses, allergies, interactions and suggested drug combinations under clinician oversight.
12Explore how clinical, patient-service and operational AI agents could work together, supported by shared infrastructure, data and governance.
13Explore a hospital campus in 3D. Choose a floor and follow five stages from the current room, via lift or stairs and ground-level entrances, to the destination. Fictional demonstration layout; actual hospital plans will follow.