• Nagendra Kumar
• Dr. Ashish Tamrakar
• Khusboo Sao
• MD. Arif Khan

Efficient retrieval of patient health records is crucial for improving healthcare delivery. Conventional methods typically rely on manual processes that are susceptible to errors and inefficiencies. This study investigates the feasibility of leveraging facial recognition detection technology, specifically the Google FaceNET methodology, to enhance healthcare efficiency. Drawing upon an extensive review of existing literature on facial detection in healthcare settings, the paper discusses potential applications and implications. Additionally, it proposes a framework for integrating FaceNET into patient health record management systems, addressing associated benefits, challenges, and ethical considerations.

Enhancing Healthcare Efficiency: Patient Health Records Retrieval Using Facial Recognition Technology

"Enhancing Healthcare Efficiency: Patient Health Records Retrieval Using Facial Recognition Technology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.q29-q35, April-2024, Available :http://www.jetir.org/papers/JETIR2404H05.pdf

"Enhancing Healthcare Efficiency: Patient Health Records Retrieval Using Facial Recognition Technology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppq29-q35, April-2024, Available at : http://www.jetir.org/papers/JETIR2404H05.pdf