The project aims to solve the challenge of efficiently retrieving patient information during revisits to Health and Wellness Centres (HWCs). Currently, health workers struggle with manual lookup, leading to duplicate registrations and delays in patient care. To address this, we are integrating facial recognition technology into the HWC Mobile Application. This feature allows Community Health Officers to quickly identify patients, prefill revisit forms, and access medical history, streamlining workflows and reducing data duplication, ultimately improving healthcare delivery for thousands of beneficiaries.
About Contributor
Thejas is currently in his third year pursuing an undergraduate degree in Data Science and Programming from IIT Madras. He has a passion for coding and enjoys exploring new technologies and ideas. A natural multitasker, Thejas thrives in dynamic environments and is always eager to take on new challenges.
About Mentor
Mithun is a medical doctor turned engineering leader focused on healthtech and digital innovation. He leverages technology to enhance patient outcomes and leads teams in building scalable, secure healthcare solutions. Currently, he serves as a Technical Architect at Piramal Swasthya and is a strong advocate for free and open-source software.
Key Impact Takeaways:
- This project will significantly reduce patient lookup time during revisits, improving efficiency for over 100,000 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.