Government Launches AI Pilot Programme in Public Hospitals
In a major step toward modernising healthcare services, the state government has introduced artificial intelligence (AI)-based technologies in government hospitals to enable faster diagnosis and improve treatment quality. As part of a pilot initiative, innovative healthcare solutions developed by startups are now being deployed in 18 government hospitals across the state.
The project aims to strengthen diagnostic capabilities while helping doctors deliver more timely and accurate care to patients.
AI Devices Used to Screen Multiple Diseases
According to Health Minister Y. Satya Kumar Yadav, hospitals are currently using around 40 AI-powered devices to conduct screening and confirmatory tests for nearly 15 different diseases.
These technologies support the detection and diagnosis of conditions such as cervical cancer, heart disease, tuberculosis, anaemia, cataract, glaucoma, and neurological disorders in children. By enabling faster screening and diagnosis, the tools allow doctors to begin treatment earlier and improve clinical outcomes.
Pilot Project Underway in Key Government Hospitals
As reported by TOI, the pilot programme is currently running in several major healthcare institutions across the state. These include government general hospitals in Visakhapatnam, Anantapur, Guntur, Kakinada, and Vijayawada, as well as district hospitals in Tenali and Parvathipuram, among others.
Through this initiative, the government aims to test the effectiveness of AI-based healthcare technologies in real-world clinical settings before expanding their use.
AI Tools Support Faster and More Accurate Diagnosis
Senior officials from the medical department stated that the AI-enabled systems assist doctors by analysing medical data quickly and accurately. As a result, clinicians can identify diseases in a shorter time and provide timely treatment.
In addition, some hospitals are using advanced software that supports clinical decision-making and helps streamline patient management processes. These systems analyse patient data and generate insights that guide doctors during diagnosis and treatment planning.
Innovations Selected Through MedTech Challenge
The technologies currently being deployed were selected through the AP MedTech Innovation Challenge, an initiative designed to encourage healthcare innovation.
Initially, the health department received 297 proposals from startups and technology developers. Subsequently, a specialised panel known as the Committee for Applied Technologies in Health (CATH) reviewed the proposals through a three-stage evaluation process. After detailed assessment, the committee recommended 18 innovative technologies for implementation under the pilot programme.
Four Key Categories of Healthcare Technologies
The selected innovations fall into four major technology categories, each aimed at improving different aspects of healthcare delivery. These include:
- Diagnostic tools for early disease detection
- Portable point-of-care devices for rapid testing
- Smart monitoring and wearable technologies for patient tracking
- Remote care and telemedicine systems for improved healthcare access
Together, these technologies are expected to enhance both hospital-based care and remote health monitoring.
AI Applications in Disease Detection and Monitoring
Several hospitals are already using AI tools for tuberculosis detection through cough analysis, early identification of heart diseases, and prediction of dengue outbreaks using historical data patterns.
Additionally, doctors are using portable diagnostic kits, some of which are compact enough to fit inside suitcase-sized cases. These devices can perform blood tests for blood sugar, kidney function, thyroid disorders, and other conditions without requiring large laboratory infrastructure.
Wearables and Smart Systems Improve Patient Monitoring
The pilot programme also includes wearable monitoring devices that track patients’ vital signs such as blood pressure, pulse rate, and body temperature. Hospitals are particularly using these systems in intensive care units (ICUs) to ensure continuous monitoring.
Furthermore, some advanced systems can record doctor–patient conversations and automatically generate consultation summaries and prescriptions, which helps reduce administrative workload and improve documentation accuracy.
Expansion Planned After Pilot Evaluation
The health minister said the pilot phase will conclude soon. Afterward, officials will submit a detailed evaluation report to the chief minister.
Based on the results, the government will decide whether to expand AI-based healthcare technologies across the state’s public hospital network.
Integration with Digital Health Records
In the next phase, the government plans to integrate these services with Ayushman Bharat Health Account (ABHA) IDs. This integration will help digitise patient records, streamline healthcare delivery, and make medical services more efficient and accessible for citizens.