Eleven care settings and two India-specific programs, all built on the same platform. They share almost nothing (a school nurse's office and a post-acute unit have different hours, different staff, different law) except one requirement: the record has to keep up with the person.
Each setting below is a room the platform works in: the people in it, the workflow it runs, and the platform areas that serve it.
Intake, provider assignment, scheduled clinic visits, documentation, escalation and facility-level reporting. That sequence runs in a correctional facility, a school nurse's office, a behavioral health center, a rehabilitation floor and a post-acute unit, and it is configured differently in each, because what counts as intake in a school is not what counts as intake behind a secure door.
A setting does not get a different product; it gets the same platform with different requirements, different roles that may act, and a different definition of who is allowed through which door. The record, the credential gate and the audit trail stay the same, which is what makes moving a clinician between settings possible at all.
A hospital and a specialty clinic ask the same question in different words: does the record keep up with the patient once they are no longer in front of us?
Virtual consultations, remote monitoring after discharge, workforce coverage across units, and the analytics that show where the delays actually are.
One workflow from booking through consultation to follow-up, with multi-specialty teleconsultation and a record that travels with the patient rather than the appointment.
Care delivered where the organization is not. The visit is real, the documentation is written standing up, and the family wants to know what happened before the caregiver has reached the car.
Patients, families, caregivers, nurses and administrators around one care plan: scheduling, visit documentation at the door, remote monitoring, and family visibility before the caregiver reaches the car.
Senior health monitoring, chronic condition tracking, medication adherence support and mobility trends, with caregiver alerts, and the same care plan in front of the aide and the family.
Discharge-to-home workflows, medication reconciliation, remote monitoring, and the follow-up appointment made before anyone leaves. The goal is fewer readmissions; the mechanism is the transition, run as a record.
A screening event run as a record, not a day out: connected-device capture, profile creation, provider review dashboards and population-level reporting. Built first-class for the Indian market.
Kiosk and device-based screening, home sample collection coordination and teleconsultation: device-to-cloud into one record, so a reading taken in a community hall reaches the clinician who follows.
A nurse's office, a secure wing, a therapy floor. Each one runs a real clinical operation on paper, a spreadsheet, and somebody's memory of what happened last term.
Student health profiles, daily clinic visits, medication administration logs, immunization tracking, incident reporting and parent notification, with telehealth reach where no clinician is on site every day.
Intake screening, scheduled clinic visits, provider assignment, medication tracking, escalation and facility-level reporting, built to the facility's access requirements, with telehealth for consultations that cannot happen in person.
Intake and assessment, therapy scheduling, treatment plan tracking, tele-mental-health sessions and guardian communication. Escalation is a workflow that routes a person to a person — not a prediction.
Admissions, rehabilitation care plans, therapy scheduling across three disciplines, milestone tracking, wearable-assisted progress monitoring and family updates — recovery, structured, with progress a family can see.
Two operations built on the same idea from opposite ends: one turns a specimen into a document somebody can act on, the other turns a year of small readings into a plan somebody can follow.
Registration, booking, specimen tracking, reporting, delivery and multi-branch analytics. AI-assisted interpretation drafts; the clinician reviews, confirms or rejects, with the basis for every indicator shown alongside.
Member enrollment, baseline assessment, biomarker tracking, physician and coach workflows, wearable integration and long-term analytics. Every output is an indicator for a qualified professional — a trend in a series, never a statement about a body.
The settings differ; the shape underneath does not. Care originates with patients, clinicians, caregivers and families, facilities and connected devices. It converges into one record. Analytics produce indicators. And nothing crosses into action without a qualified person reviewing it first.
All AI-assisted outputs should be reviewed by qualified human users before being relied upon. CareTech surfaces indicators and drafts for a qualified professional to review, confirm or reject — it does not diagnose, does not treat, does not decide, and is not a substitute for professional medical judgment.
Roles enforced at the boundary: a scheduler cannot act as a worker, and a worker cannot approve their own work.
Enforced in PostgreSQL row-level security, set per transaction so it cannot leak across a pooled connection.
What was produced, who reviewed it, what they decided, and when — for key system activity.
Healthcare software development, healthcare analytics, IoT healthcare applications, and niche wearables for elderly, home and clinical care.
From the data model up: interoperability-ready architecture, API-first design and open-standards support.