MedCare: The Advanced Hospital Bed

Abstract

In hospitals worldwide, unmodified beds present significant challenges to patient care, efficiency, and overall healthcare outcomes. These traditional beds lack advanced features and functionalities that could enhance patient monitoring, safety, and comfort. Our project, MedCare, proposes an AI-powered advanced hospital bed designed to overcome these limitations by integrating multiple assistive and monitoring frameworks. These include sleep monitoring, hearing/speaking aids, emergency alerts, health tracking, AI-driven diagnostics, and sanitation automation.

Introduction

Overview

MedCare is an advanced hospital bed system designed to enhance patient care, caregiver efficiency, and hospital operations. Traditional beds lack integrated technology; MedCare addresses this by incorporating AI, sensors, and automation to create a comprehensive smart care solution.

Core Functional Frameworks

1. ???? Sleep Pattern Monitoring

   • Uses heart rate, respiratory, motion, EEG sensors, and a camera.

   • ML algorithms classify sleep stages and detect anomalies.

   • Computer vision maintains privacy while adding contextual visual data.

2. ???? Hearing Aid Framework

   • Patients use a mobile app to send typed/spoken messages.

   • AI/ML processes multiple languages and accents for clear communication.

3. ????? Speaking Aid Framework

   • A Nokia-style keypad allows non-verbal patients to type.

   • Predictive text and auto-complete improve communication speed.

4. ???? Emergency Alerting System

   • Sensors and an emergency button send real-time alerts with patient ID/location to nurses and relatives.

5. ???? Healthcare Monitoring

   • Pulse and ECG sensors track vital signs live.

   • Data logging and SMS alerts help detect health anomalies.

6. ???? AI/ML Aid Framework

   • Skin disease detection, fall detection, and posture monitoring via camera and AI.

   • Sends instant alerts to caregivers or family.

7. ???? Entertainment Framework

   • Integrated voice assistant offers music, news, and calls.

   • Supports mental health and reduces patient loneliness.

8. ???? Sanitation Framework

   • Automated waste disposal using suction and sealed units.

   • Ensures hygiene with no manual intervention.

Results & Impact

• Interconnected systems create a responsive, intelligent hospital bed.

• Enhances real-time monitoring, emergency responsiveness, and emotional support.

• Early feedback from healthcare professionals has been positive, with a working prototype in development.

Conclusion

MedCare offers a scalable, affordable solution to modernize hospital infrastructure. By integrating AI and ML with healthcare frameworks, it enhances both patient and provider experiences. Future work will involve clinical testing, software optimization, and expanding AI diagnostics.

References

[1] Arati S.N., Ambika B., Divya K., Gayathri A., Nidhi S., “Bluetooth Technology -Architecture, Applications, and Issues: A Literature Survey,” IRJET, vol. 7 issue 12, Dec. 2020, pp. 2259-2264. [2] LilyPad Arduino. Available: http://lilypadarduino.org/ [3] Louis Leo, \"Working Principle of Arduino and Using it as a Tool for Study and Research,\" Int. J. of Control, Automation, Communication and Systems, 2014.

Copyright

Copyright © 2025 Shashwat Chaturvedi, Abhishek Singh, Achitya Kushwaha. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.