Real-time Patient Monitoring System to Reduce Medical Error with the help of Database System

Siddik, Abu Bakar; Das, Prangon; Islam, Afroza; Fahim, S.M.; Rahman, Md. Facklasur; Hasan, Enamul; Nasim, Md. Farhan Tanvir; Islam, Md. Manirul

doi:10.1109/icecte57896.2022.10114482

Cited by 3 publications

(2 citation statements)

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“…A database collecting PGHD is one of those media. In 2022, Siddik et al [6] pointed out that the combined usage of the IoT, cutting-edge computing (mostly cloud computing), DBMSs and visualization tools is the best strategy for implementing a modern system for the management of a large number of illnesses, while Kawu et al [7] complemented the work of [6] by providing an up-to-date survey on the state of the art and the open issues of the integration of the diverse sources of PGHD into already existing health databases.…”

Section: Introductionmentioning

confidence: 99%

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IoT + DBMS = Periodic Summary of the Health Status of Remote Patients

Di Felice

2023

The 4th International Electronic Conference on Applied Sciences

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Section: Introductionmentioning

confidence: 99%

“…In [6], PGHD stored in a database are retrieved to be visualized in a dashboard in order to show the patient's health conditions to physicians. Our proposal emphasizes the need to process PGHD to extract statistics over a given time interval.…”

Section: Introductionmentioning

confidence: 99%

IoT + DBMS = Periodic Summary of the Health Status of Remote Patients

Di Felice

2023

The 4th International Electronic Conference on Applied Sciences

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Efficient Approach for Patient Monitoring: ML-Enabled Framework with Smart Connected Systems

Dheepak

2024

Studies in Computational Intelligence

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IoT‐based remote monitoring system: A new era for patient engagement

Agali,

Masrom,

Abdul Rahim

et al. 2024

Healthcare Tech Letters

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Internet of Things (IoT) is changing patient engagement in healthcare by shifting from traditional care models to a continuous, technology‐driven approach using IoT‐based Remote Monitoring Systems (IoT‐RMS). This research seeks to redefine patient engagement by examining how Internet of Things (IoT) technologies can impact healthcare management and patient–provider interactions at different phases. Additionally, it presents the relationship between patient engagement stages and IoT‐RMS, which promotes patients' active participation using technological health management tools. The study emphasizes that IoT‐RMS improves patient engagement, organized into three main stages: enabling, engaging, and empowering. This approach shows how technological progress encourages patient involvement and empowerment, leading to improved health results and personalized care. A systematic review and narrative analysis of Web of Science (WOS), Scopus databases, IEEE, and PubMed yielded 1832 studies regarding patient engagement and technology. Despite the optimistic findings, the article highlights the need for more research to evaluate the durability of technology interventions and long‐term effectiveness.

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Real-time Patient Monitoring System to Reduce Medical Error with the help of Database System

Cited by 3 publications

References 14 publications

IoT + DBMS = Periodic Summary of the Health Status of Remote Patients

IoT + DBMS = Periodic Summary of the Health Status of Remote Patients

Efficient Approach for Patient Monitoring: ML-Enabled Framework with Smart Connected Systems

IoT‐based remote monitoring system: A new era for patient engagement

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