A Mobile Multi-Agent Information System for Ubiquitous  Fetal Monitoring

Su, Chuan-Jun; Chu, Ta-Wei

doi:10.3390/ijerph110100600

Cited by 31 publications

(5 citation statements)

References 25 publications

(29 reference statements)

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“…All tools were intended for clinical diagnosis support based on algorithms. The least basic was the capability to take measurements or give alerts and reminders to maternity care providers [ 24 , 29 , 34 ]. However, 8 of 11 tools could also provide diagnosis and action suggestions to the user.…”

Section: Resultsmentioning

confidence: 99%

Computerized Childbirth Monitoring Tools for Health Care Providers Managing Labor: A Scoping Review

Balikuddembe¹,

Tumwesigye²,

Wakholi³

et al. 2017

JMIR Med Inform

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BackgroundProper monitoring of labor and childbirth prevents many pregnancy-related complications. However, monitoring is still poor in many places partly due to the usability concerns of support tools such as the partograph. In 2011, the World Health Organization (WHO) called for the development and evaluation of context-adaptable electronic health solutions to health challenges. Computerized tools have penetrated many areas of health care, but their influence in supporting health staff with childbirth seems limited.ObjectiveThe objective of this scoping review was to determine the scope and trends of research on computerized labor monitoring tools that could be used by health care providers in childbirth management.MethodsWe used key terms to search the Web for eligible peer-reviewed and gray literature. Eligibility criteria were a computerized labor monitoring tool for maternity service providers and dated 2006 to mid-2016. Retrieved papers were screened to eliminate ineligible papers, and consensus was reached on the papers included in the final analysis.ResultsWe started with about 380,000 papers, of which 14 papers qualified for the final analysis. Most tools were at the design and implementation stages of development. Three papers addressed post-implementation evaluations of two tools. No documentation on clinical outcome studies was retrieved. The parameters targeted with the tools varied, but they included fetal heart (10 of 11 tools), labor progress (8 of 11), and maternal status (7 of 11). Most tools were designed for use in personal computers in low-resource settings and could be customized for different user needs.ConclusionsResearch on computerized labor monitoring tools is inadequate. Compared with other labor parameters, there was preponderance to fetal heart monitoring and hardly any summative evaluation of the available tools. More research, including clinical outcomes evaluation of computerized childbirth monitoring tools, is needed.

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Section: Resultsmentioning

confidence: 99%

Computerized Childbirth Monitoring Tools for Health Care Providers Managing Labor: A Scoping Review

Balikuddembe¹,

Tumwesigye²,

Wakholi³

et al. 2017

JMIR Med Inform

View full text Add to dashboard Cite

show abstract

“…The approach in [ 21 ] focuses on design and development of a distributed information system based on mobile agents to allow automatic and real-time fetal monitoring. Devices such as a PDA, mobile phone, laptop, and personal computer are used to capture and display the monitored data.…”

Section: Introductionmentioning

confidence: 99%

A Software Framework for Remote Patient Monitoring by Using Multi-Agent Systems Support

Fernandes

Lucena

2017

JMIR Med Inform

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BackgroundAlthough there have been significant advances in network, hardware, and software technologies, the health care environment has not taken advantage of these developments to solve many of its inherent problems. Research activities in these 3 areas make it possible to apply advanced technologies to address many of these issues such as real-time monitoring of a large number of patients, particularly where a timely response is critical.ObjectiveThe objective of this research was to design and develop innovative technological solutions to offer a more proactive and reliable medical care environment. The short-term and primary goal was to construct IoT4Health, a flexible software framework to generate a range of Internet of things (IoT) applications, containing components such as multi-agent systems that are designed to perform Remote Patient Monitoring (RPM) activities autonomously. An investigation into its full potential to conduct such patient monitoring activities in a more proactive way is an expected future step.MethodsA framework methodology was selected to evaluate whether the RPM domain had the potential to generate customized applications that could achieve the stated goal of being responsive and flexible within the RPM domain. As a proof of concept of the software framework’s flexibility, 3 applications were developed with different implementations for each framework hot spot to demonstrate potential. Agents4Health was selected to illustrate the instantiation process and IoT4Health’s operation. To develop more concrete indicators of the responsiveness of the simulated care environment, an experiment was conducted while Agents4Health was operating, to measure the number of delays incurred in monitoring the tasks performed by agents.ResultsIoT4Health’s construction can be highlighted as our contribution to the development of eHealth solutions. As a software framework, IoT4Health offers extensibility points for the generation of applications. Applications can extend the framework in the following ways: identification, collection, storage, recovery, visualization, monitoring, anomalies detection, resource notification, and dynamic reconfiguration. Based on other outcomes involving observation of the resulting applications, it was noted that its design contributed toward more proactive patient monitoring. Through these experimental systems, anomalies were detected in real time, with agents sending notifications instantly to the health providers.ConclusionsWe conclude that the cost-benefit of the construction of a more generic and complex system instead of a custom-made software system demonstrated the worth of the approach, making it possible to generate applications in this domain in a more timely fashion.

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“…The evolution and necessity of BDA technologies seem so inevitable a platform was implemented for the Czech Republic’s healthcare system [ 28 ]. The horizontal scalability tests performed demonstrated a 25% performance improvement, and the system has already been employed in the battle against the coronavirus as a visualization middleware and a data exchange node with other healthcare information systems.…”

Section: Methodsmentioning

confidence: 99%

An Efficient Agent Based Data Management Method of NoSQL Environments for Health Care Applications

Kotsilieris¹

2021

Healthcare

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Background: As medical knowledge is continuously expanding and diversely located, Health Information Technology (HIT) applications are proposed as a good prospect for improving not only the efficiency and the effectiveness but also the quality of healthcare services delivery. The technologies expected to shape such innovative HIT architectures include: Mobile agents (Mas) and NoSQL technologies. Mobile agents provide an inherent way of tackling distributed problems of accessing heterogeneous and spatially diverse data sources. NoSQL technology gains ground for the development of scalable applications with non-static and open data schema from complex and diverse sources. Methods and Design: This paper conducts a twofold study: It attempts a literature review of the applications based on the mobile agent (MA) and NoSQL technologies for healthcare support services. Subsequently, a pilot system evaluates the NoSQL technology against the relational one within a distributed environment based on mobile agents for information retrieval. Its objective is to study the feasibility of developing systems that will employ ontological data representation and task implementation through mobile agents towards flexible and transparent health data monitoring. Results and Discussion: The articles studied focus on applying mobile agents for patient support and healthcare services provision thus as to make a positive contribution to the treatment of chronic diseases. In addition, attention is put on the design of platform neutral techniques for clinical data gathering and dissemination over NoSQL. The experimental environment was based on the Apache Jena Fuseki NoSQL server and the JAVA Agent DEvelopment Framework -JADE agent platform. The results reveal that the NoSQL implementation outperforms the standard relational one.

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A Mobile Multi-Agent Information System for Ubiquitous Fetal Monitoring

Cited by 31 publications

References 25 publications

Computerized Childbirth Monitoring Tools for Health Care Providers Managing Labor: A Scoping Review

Computerized Childbirth Monitoring Tools for Health Care Providers Managing Labor: A Scoping Review

A Software Framework for Remote Patient Monitoring by Using Multi-Agent Systems Support

An Efficient Agent Based Data Management Method of NoSQL Environments for Health Care Applications

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