International Conference on “Large Language Models and Use cases” 2023 |
Control System labs |
LLMUC2023 - Number 2 |
None 2025 |
Authors: Om Salunke, Omkar Vyavahare, Abhishek Nikam, Sanket Dalvi |
Om Salunke, Omkar Vyavahare, Abhishek Nikam, Sanket Dalvi . Leveraging AI to Enhance Doctor Availability in Hospitals. International Conference on “Large Language Models and Use cases” 2023. LLMUC2023, 2 (None 2025), 13-18.
Optimizing doctor availability and appointment allocation is piv- otal for improving patient care and hospital efficiency. Our inno- vative approach leverages digital technology and AI integration to streamline the appointment scheduling process, significantly en- hancing the overall patient experience. Our solution’s core is a user- friendly application designed for effortless appointment schedul- ing. Patients can easily book appointments, specify preferred time slots, and promptly receive confirmations, simplifying the jour- ney for both patients and medical staff. We utilize a comprehen- sive tracking system to keep patients informed about doctor avail- ability, integrating ML algorithms for heightened accuracy. Addi- tionally, our system incorporates a secure payment gateway, en- abling patients to make hassle-free payments for appointments di- rectly through the application, enhancing convenience. This pay- ment system also identifies false requests and applies appropriate penalties. This system dynamically adjusts appointment slots based on real-time doctor availability and patient symptoms, ensuring patients receive accurate appointment time estimates, minimizing wait times, and ultimately elevating the overall patient experience.