Remote Healthcare: Development of a Centralized Patient Monitoring System for Ward Patients.
Patient monitoring is an essential practice in healthcare settings to assess well-being and medical conditions. This study proposes a central patient monitoring system enabling healthcare personnel to have a comprehensive perspective of multiple patients' health state from a central location. The proposed prototype enables healthcare providers to detect and respond to changes in patients' condition efficiently. The project contains multiple patient monitoring units with each measuring temperature, ECG, SpO2, and heart rate along with a display on a centralized screen. The hardware of monitors is placed at each patient bed connected with all the patients and the result of each patient can be seen from the general ward counter. Different sensors are used to design monitoring units and are connected with node MCU through different pin connections. Node MCU sends the information gathered from sensors to the Raspberry pi unit using Wi-Fi. The real-time data of patients are being displayed and saved using server “thing speak”. There are different options on the server window to switch between different patients’ real time results to monitor them. The proposed prototype uses computer technology to monitor the vital signs of multiple patients on a single monitor from a centralized location using internet which may eventually reduce the time and workload of medical staff leading to improved patient care.
Authors
- Sarmad Shams (ORCID: https://orcid.org/0000-0001-6151-1646)
- Farheen Malik (ORCID: https://orcid.org/0000-0002-2221-1197)
- Sabahat Ansari
- Zia Ahmed Shaikh (ORCID: https://orcid.org/0009-0004-7993-3889)
- Fahad Shamim (ORCID: https://orcid.org/0009-0007-0564-2036)
- Shahzad Nasim (ORCID: https://orcid.org/0000-0002-8043-5076)
- Maryam Ali Soomro
Institutions
- Shaheed Benazir Bhutto Women University Peshawar (PK)
- Liaquat University of Medical & Health Sciences (PK)
- Mehran University of Engineering and Technology (PK)
Publication Details
- Journal
- The Asian Bulletin of Big Data Management
- Published
- 2024-09-30
- DOI
- https://doi.org/10.62019/abbdm.v4i3.224
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.71
Funders
- World Health Organization
- National Institute for Health and Care Excellence