A Service-Oriented Architecture for Bioinformatics: An Application in Cell Image Analysis

Gamarra, Margarita; Zurek, Eduardo; Bernal, Wilson Nieto; Jimeno, Miguel; Sierra, Deibys

doi:10.1007/978-3-319-56535-4_71

Cited by 2 publications

(1 citation statement)

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“…In addition, some propose offering different health and healthcare resources as services using platforms like the health cloud. Examples are EHRs [67] and analysis of cell images [68] . Furthermore, SOA-based middleware platforms were developed for specific purposes like VIRTUS for e-health solutions [69] ; ambient assisted living services at home [70] ; Gal to support ambient assisted living by integrating sensors of a body area network (BAN) with environmental sensors to offer context to identified events [71] ; and SANDS which offers clinical decision support service [72] .…”

Section: Introductionmentioning

confidence: 99%

Health 4.0: On the Way to Realizing the Healthcare of the Future

2020

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Health 4.0 establishes a new promising vision for the healthcare industry. It creatively integrates and employ innovative technologies such as the Internet of Health Things (IoHT), medical Cyber-Physical Systems (medical CPS), health cloud, health fog, big data analytics, machine learning, blockchain, and smart algorithms. The goal is to deliver improved, value-added and cost-effective healthcare services to patients and enhance the effectiveness and efficiency or the healthcare industry. Health 4.0 (adapted from the Industry 4.0 principles) changes the healthcare business model to enhance the interactions across the healthcare clients (the patients), stakeholders, infrastructure, and value chain. This effectively will improve the quality, flexibility, productivity, cost-effectiveness, and reliability of healthcare services in addition to increasing patients’ satisfaction. However, building and utilizing healthcare applications that follow the Health 4.0 concept is a non-trivial and complex endeavor. In addition, advanced potential applications based on Health 4.0 capabilities are not yet being investigated. In this paper we define the main objectives of Health 4.0 and discuss advanced potential Health 4.0 applications. To have a clear understanding of these applications, we categorize them in 4 groups based on the primary beneficiary of these applications. Thus we have patient targeted applications, applications supporting healthcare professionals, resource management applications and high-level healthcare systems management applications. In addition, as we studied the different applications, we realized that these is a certain collection of services that these most of them need regardless of their goals or business context. Services supporting data collection and transfer, security and privacy, reliable operations are some examples. As a result we propose creating a service-oriented middleware framework to offers the common services to the applications developers and facilitate the integration of different services to build applications under the Health 4.0 umbrella.

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Section: Introductionmentioning

confidence: 99%

Health 4.0: On the Way to Realizing the Healthcare of the Future

2020

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Spiral-Based Model for Software Architecture in Bio-image Analysis: A Case Study in RSV Cell Infection

Gamarra

Zurek

Bernal

et al. 2020

Computer Information Systems and Industrial Management

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The advancement in biological and medical image acquisitions has allowed the development of numerous investigations in different fields supported by image analysis, from cell to physiological level. The complexity in the treatment of data, generated by image analysis, requires a structured methodology for software development. In this paper we proposed a framework to develop a software solution with a Service-Oriented Architecture (SOA) applied to the analysis of biological images. The framework is completed with a novel image analysis methodology that would help researchers to achieve better results in their image analysis projects. We evaluate our proposal in a scientific project related to cell image analysis. Palabras clave Spiral methodology, Bio-image informatics, Cell image processing, Respiratory Syncytial Virus.

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A Service-Oriented Architecture for Bioinformatics: An Application in Cell Image Analysis

Cited by 2 publications

References 11 publications

Health 4.0: On the Way to Realizing the Healthcare of the Future

Health 4.0: On the Way to Realizing the Healthcare of the Future

Spiral-Based Model for Software Architecture in Bio-image Analysis: A Case Study in RSV Cell Infection

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