We have designed and deployed an AI-based mini ERP solution for the Health & Family Welfare department in a South Indian state, which serves as a single source of information for the entire department. The platform includes automated attendance of health centre staff, backed by AI facial recognition, all built into a mobile app. It has digitised all of the department’s data and activities, spanning across all the hospitals, clinics, healthcare centres and their respective staff. Our platform has processed approximately 4,19,18,689 facial templates till date.
In the modern digital era, health departments are in the need of comprehensive digital platforms which serve as a single source of truth to efficiently oversee and coordinate healthcare services within their jurisdiction. These platforms harness cutting-edge technology to manage a network of health centers across the state / region, streamline administrative tasks, enhance healthcare delivery, and improve overall public health outcomes.
Powered by our flagship RIMS framework, HDMS utilizes AI algorithms for facial recognition-based staff attendance, which can adapt to ever-evolving facial features. However, the scope of HCMS extends far beyond this capability alone, encompassing all aspects of healthcare administration, organization while bringing in “Last mile accountability while serving the citizens”.
This platform serves as an end-to-end platform right from health center set up, staff allocation and day to day monitoring of operations in real time across various operational areas, including shift management, attendance, leave management, employee transfers, resource allocation, and more…. HCMS empowers decision-makers within state Health Departments with a "digitized administration platform" that offers a comprehensive, real-time 360-degree view of all health center data at their fingertips from any where, any time without having to depend on manual data which is time consuming and prone for errors. This capability enables the department to operate with agility, adaptability, and efficiency.
RReal-time attendance capturing and leave management of doctors, nurses and other staff.
Creation and management of centralised database of healthcare units and employees, including staff onboarding, transfers, retirements etc.
Employees can capture self and peer attendance with mobile app which is verified by location data using geofencing.
Offline capture and tracking of attendance to serve remote areas with network challenges.
Creation of custom rosters and shift management by organisation admin.
Role-based access to real-time insights and MIS reports generated from health centre data, staff data, administrative tasks, and medical resource allocation.
Analysis of doctor/nurse/bed to patient ratio to make recommendations about optimal allocation of healthcare resources.
Data insights and usage patterns can predict maintenance needs of various hospital facilities, such as buildings, diagnostic equipment, beds etc.
Seamless integration with other third party applications allowing for a unified and cohesive ecosystem.
The mobile application eliminates the need for any additional hardware like biometric devices for attendance capturing.
Minimal risk of human errors caused by fatigue, oversight, or subjectivity.
Automated processes and optimum resource allocation ensures that the quality of healthcare services is elevated.
Streamlined processes, improved data visibility, enhanced communication enabling better decision-making, efficiency and cost savings.
Our AI solutions process data in real-time, allowing quick decision-making and timely response to changing health centre needs.
AI-backed facial recognition and data accuracy ensure complete transparency and accountability in attendance, asset management and other healthcare aspects.
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