Identify and retrieve beneficiary details through face recognition

In the rapidly evolving landscape of healthcare, leveraging technology to improve patient care is paramount. The AMRIT (Accessible Medical Records via Integrated Technologies) platform, developed by Piramal Swasthya, is at the forefront of this initiative, transforming the delivery of primary healthcare in India. One of the standout contributions to this platform is the integration of facial recognition technology into the Health and Wellness Centre (HWC) Mobile Application.

The Challenge

Health and Wellness Centres (HWCs) play a crucial role in providing Comprehensive Primary Health Care (CPHC) services, which encompass preventive, promotive, curative, rehabilitative, and palliative care. However, healthcare workers often face significant challenges during patient revisits, primarily due to inefficient manual lookup processes. This inefficiency can lead to data duplication and delays in patient care, ultimately affecting health outcomes.

The Solution: Facial Recognition Technology

To address the challenges of patient data retrieval, Piramal Swasthya participated in the Dedicated Mentorship Program organized by Code for Gov Tech, listing our project for open-source collaboration. After reviewing several proposals and conducting interviews, we selected a contributor to work with us. Over the course of three months, we successfully developed a facial recognition solution tailored for the patient revisit scenario, enabling Community Health Officers (CHO) to quickly identify registered patients, prefill revisit forms, and access medical history, significantly enhancing the workflow for health workers.

Key Impact Takeaways:

• This project will significantly reduce patient lookup time during revisits, improving efficiency for healthcare workers.
• The facial recognition feature will minimize data duplication and streamline the registration process, enhancing healthcare delivery in rural and urban regions across India.

About the Contributor

Thejas, a third-year undergraduate student from IIT Madras, played a pivotal role in this project. His dedication to solving real-world challenges has helped improve healthcare delivery for countless beneficiaries.

Conclusion

The successful integration of facial recognition technology into the AMRIT platform demonstrates the impact of open-source contributions on public health initiatives. By harnessing innovative solutions and fostering collaboration, we are paving the way for a more efficient and effective healthcare system in India. This project not only addresses immediate challenges faced by health workers but also sets a precedent for future innovations within the AMRIT platform, ultimately benefiting the communities we serve. As we continue to build upon these successes, we remain committed to enhancing healthcare through technology, ensuring that our solutions are accessible, equitable, and designed to meet the diverse needs of our population.