Abstract :

A High Demand For Integrated Systems Capable Of Managing Patient Information And Monitoring The Status Of Healthcare Infrastructure In Real Time Has Been Generated By The Fast Expansion Of Smart Healthcare Technology. Manual Patient Identification, Long Wait Times For Medical Records, And Inadequate Monitoring Of Environmental Factors Like Humidity, Temperature, And Hazardous Gasses Are Common Problems In Healthcare Facilities. Hospital Efficiency, Patient Safety, And The Likelihood Of Medical & Operational Mistakes May All Be Negatively Impacted By These Constraints. In Response To These Issues, This Study Introduces An ESP Controller-based Healthcare Infrastructure Monitoring & Data Management System That Is Intelligently Internet Of Things (IoT) Based. In Order To Provide A Cohesive Smart Healthcare Platform, The Suggested Solution Integrates RFID-based Identification Of Patients With Real-time Environmental Monitoring. Radio Frequency Identification Tags Are Used To Track Patients And Obtain Related Information Such Berth Number And Patient ID, While Gas And Temperature Sensors Constantly Keep An Eye On Vital Infrastructure Conditions In The Hospital. The ESP Controller Is Responsible For Collecting Data, Processing It Locally, Creating Alerts, And Communicating Wirelessly With An Internet Of Things Server. When The System Detects Potentially Dangerous Situations, It Will Trigger A Buzzer Other Control Mechanism Like A Fan And Provide The Relevant Patient And Environmental Data On A Local LCD Interface. Furthermore, All Information Is Sent To An Internet Of Things Dashboard So That It Can Be Accessed And Monitored Remotely. The Suggested Design Enables Effective Hospital Automation While Simultaneously Improving Patient Management, Decreasing The Likelihood Of Human Mistake, And Increasing Environmental Safety. When It Comes To Digital Patient Data Management And Smart Healthcare Infrastructure, The Created System Provides An Affordable And Scalable Option.A High Demand For Integrated Systems Capable Of Managing Patient Information And Monitoring The Status Of Healthcare Infrastructure In Real Time Has Been Generated By The Fast Expansion Of Smart Healthcare Technology. Manual Patient Identification, Long Wait Times For Medical Records, And Inadequate Monitoring Of Environmental Factors Like Humidity, Temperature, And Hazardous Gasses Are Common Problems In Healthcare Facilities. Hospital Efficiency, Patient Safety, And The Likelihood Of Medical & Operational Mistakes May All Be Negatively Impacted By These Constraints. In Response To These Issues, This Study Introduces An ESP Controller-based Healthcare Infrastructure Monitoring & Data Management System That Is Intelligently Internet Of Things (IoT) Based. In Order To Provide A Cohesive Smart Healthcare Platform, The Suggested Solution Integrates RFID-driven Recognizing Patients With Real-time Environmental Monitoring. Radio Frequency Identification Tags Are Used To Track Patients And Obtain Related Information Such Berth Number And Patient ID, While Gas And Temperature Sensors Constantly Keep An Eye On Vital Infrastructure Conditions In The Hospital. The ESP Controller Is Responsible For Collecting Data, Processing It Locally, Creating Alerts, And Communicating Wirelessly With An Internet Of Things Server. When The System Detects Potentially Dangerous Situations, It Will Trigger A Buzzer And Control Mechanism Like A Fan And Provide The Relevant Patient And Environmental Data On A Local LCD Interface. Furthermore, All Information Is Sent To An Internet Of Things Dashboard So That It Can Be Accessed And Monitored Remotely. The Suggested Design Enables Effective Hospital Automation While Simultaneously Improving Patient Management, Decreasing The Likelihood Of Human Mistake, And Increasing Environmental Safety. When It Comes To Digital Patient Data Management And Smart Healthcare Infrastructure, The Created System Provides An Affordable And Scalable Option.

Published:

31-7-2026

Issue:

Vol. 26 No. 7 (2026)

Page Nos:

1399-1408

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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