AI&ML-Based Enhanced Health Monitoring System for Intelligent Healthcare Tracking and Seamless Doctor Prescription Management

Under Guidance: N. Sridevi

DOI

10.2991/978-94-6239-693-7_16How to use a DOI?

Keywords

Health Monitoring System; Prescription Management; Medication Adherence; Artificial Intelligence; Machine Learning; Cloud Computing; Intelligent Healthcare

Abstract

Efficient healthcare management depends on accurate prescription handling, proper medication adherence, and continuous monitoring of patient health conditions. In everyday situations, many patients find it difficult to understand prescription instructions, remember dosage timings, or consistently follow treatment schedules. Such challenges often reduce treatment effectiveness and may negatively affect overall health outcomes. This research presents an Artificial Intelligence (AI) and Machine Learning (ML)–based enhanced health monitoring system designed to support intelligent healthcare tracking and efficient doctor prescription management. The proposed system allows healthcare professionals to generate digital prescriptions that clearly specify medication type, dosage amount, intake frequency, and treatment duration. These prescriptions are automatically converted into structured medication schedules that generate reminders and alerts to help patients follow their treatment plans more accurately. In addition to prescription management, the system records and monitors essential physiological parameters such as body temperature, heart rate, blood pressure, and body weight. These parameters allow healthcare providers to evaluate the effectiveness of prescribed treatments. [1], [2]. AI-driven healthcare platforms are capable of analyzing large volumes of medical data and identifying patterns [3].

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Harshit Verma
PY  - 2026
DA  - 2026/06/16
TI  - AI&ML-Based Enhanced Health Monitoring System for Intelligent Healthcare Tracking and Seamless Doctor Prescription Management
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 138
EP  - 150
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_16
DO  - 10.2991/978-94-6239-693-7_16
ID  - Verma2026
ER  -