• Dr. A. Karthikeyan
• Mohamed Thariq P
• Ram Balaji S
• Santhosh S
• Thameemum Ansari A

Healthcare appointment scheduling can be a challenging and time-consuming task for patients and healthcare providers. The Automated Smart Health Scheduler is an intelligent appointment scheduling system designed to address these challenges. The proposed system utilizes machine learning prediction modal and optimization techniques to provide patients with personalized appointment scheduling and to optimize healthcare provider schedules. The system uses the medical data from health monitoring system that is incorporated in the patient’s home, and availability to schedule appointments with the most appropriate healthcare provider. The system also considers the availability of the healthcare providers and their specialties to ensure that patients are matched with the best provider for their needs. The Smart Health Scheduler also optimizes healthcare provider schedules by identifying scheduling conflicts and suggesting alternative appointment times. This helps to reduce wait times for patients and increase the efficiency of healthcare providers. The proposed system has the potential to improve healthcare appointment scheduling by reducing wait times for patients and increasing the productivity of healthcare providers.

Machine Learning prediction modal, Time-Consuming, medical data, health monitoring system, reduce wait time.

"Automated Smart Health Scheduler", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.d448-d453, May-2023, Available :http://www.jetir.org/papers/JETIR2305362.pdf

"Automated Smart Health Scheduler", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppd448-d453, May-2023, Available at : http://www.jetir.org/papers/JETIR2305362.pdf