Mined-Knowledge and Decision Support Services in Electronic Health

Sartipi, Kamran; Yarmand, Mohammad H.; Down, Douglas G.

doi:10.1109/sdsoa.2007.9

Cited by 19 publications

(8 citation statements)

References 2 publications

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“…However, orchestration allows simple Web services to perform their function without knowing they are participating in a high level functionality of the application. ESB is the architectural approach that is mainly used to integrate disparate applications, but only one study in our reviewed set [68] identified the event-driven features of ESB as a mechanism to provide CDS services. We believe that CDS should also exploit other features provided by the ESB, such as load balancing, service version selection, service selection based on message data, access control, and exception handling [32].…”

Section: Discussionmentioning

confidence: 99%

Service Oriented Architecture for Clinical Decision Support: A Systematic Review and Future Directions

et al. 2014

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The use of a service-oriented architecture (SOA) has been identified as a promising approach for improving health care by facilitating reliable clinical decision support (CDS). A review of the literature through October 2013 identified 44 articles on this topic. The review suggests that SOA related technologies such as Business Process Model and Notation (BPMN) and Service Component Architecture (SCA) have not been generally adopted to impact health IT systems’ performance for better care solutions. Additionally, technologies such as Enterprise Service Bus (ESB) and architectural approaches like Service Choreography have not been generally exploited among researchers and developers. Based on the experience of other industries and our observation of the evolution of SOA, we found that the greater use of these approaches have the potential to significantly impact SOA implementations for CDS

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Section: Discussionmentioning

confidence: 99%

Service Oriented Architecture for Clinical Decision Support: A Systematic Review and Future Directions

et al. 2014

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“…Therefore, a distributed system with high availability, processing and data storage capacity seems more appropriate for use in health care [8,21,22]. Indeed, a new set of health services has been developed, such as flow-based decision support services, data mining and pattern-based visualisation, and monitoring services [23]. These services enable managers to control the quality of health systems.…”

Section: Background and Related Workmentioning

confidence: 99%

Distributed Architecture for Acquisition and Processing of Physiological Signals

Sánchez-Reolid

García

Vicente-Querol

et al. 2019

13th International Conference on Ubiquitous Computing and Ambient ‪Intelligence UCAmI 2019‬

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The increase in the number of devices equipped with physiological sensors and their low price mean that they can be used in many fields. One of these fields is health-care and home-care for the elderly or people with disabilities. The development of such devices makes it possible to monitor their condition continuously and at all times. A continuous monitoring not only establishes an image of the user’s status, but also detects possible anomalies. Therefore, it is necessary to develop a distributed architecture that allows expert analysts to access the data provided by the sensors at all times and from anywhere. This paper introduces the development and implementation of the concept of distributed architecture, focusing on the minimum requirements needed to carry it out. All the necessary modules are described for different stages: acquisition, communication and processing of physiological signals. The last stage is carried out by a machine learning system. The complete reporting and storage system is also described. Finally, the most important conclusions that have emerged during the development are reported.

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“…In turn, ensuring data quality in the healthcare domain is a recurring research topic [34] [35] [36] [37], in particular, when it is necessary to interconnect heterogeneous systems in order to share health information.…”

Section: Related Workmentioning

confidence: 99%

Data Quality Management in e-Health Integration Platforms: the Case of Uruguay

González

Pidre²,

Ruggia³

et al. 2018

CLEIej

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Healthcare organizations increasingly need to integrate their software systems with each other in order to exchange clinical data and carry out healthcare processes in coordinated ways. Integration platforms provide mechanisms, based on advanced middleware technologies like the Enterprise Service Bus (ESB), in order to facilitate such integration. In addition, data quality in the healthcare area is critical to take timely and accurate decisions for the health and well-being of patients. This paper propose a solution for data quality management in the context of the Uruguayan e-health integration platform. The proposal comprises a data quality model, that includes quality characteristics identified from dierent types of sources, and extensions to an ESB-based integration platform which allows assessing and enforcing data quality requirements in inter-organizational data exchanges. The proposal was completely prototyped which allowed validating the technical feasibility of the proposed solution.

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Mined-Knowledge and Decision Support Services in Electronic Health

Cited by 19 publications

References 2 publications

Service Oriented Architecture for Clinical Decision Support: A Systematic Review and Future Directions

Service Oriented Architecture for Clinical Decision Support: A Systematic Review and Future Directions

Distributed Architecture for Acquisition and Processing of Physiological Signals

Data Quality Management in e-Health Integration Platforms: the Case of Uruguay

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