Proposal for a Standard Architecture for the Integration of Clinical Information Systems in a Complex Hospital Environment

Belmonte, Enrique Maldonado; Tortosa, Salvador Otón; Ruggia-Frick, Raúl

doi:10.3390/informatics8040087

Cited by 2 publications

(2 citation statements)

References 27 publications

(22 reference statements)

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“…To set up the architecture for this model's creation, we used the architecture elaborated upon in a previous work for the periodic retrieval and management of clinical data as a starting point [22]. Figure 2 shows this architecture created for the integration of different clinical systems in real time, allowing for consistency among data from all systems.…”

Section: Integration and Architecturementioning

confidence: 99%

An Intelligent Model and Methodology for Predicting Length of Stay and Survival in a Critical Care Hospital Unit

Maldonado Belmonte,

Oton-Tortosa,

Gutierrez-Martinez

et al. 2024

Informatics

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This paper describes the design and methodology for the development and validation of an intelligent model in the healthcare domain. The generated model relies on artificial intelligence techniques, aiming to predict the length of stay and survival rate of patients admitted to a critical care hospitalization unit with better results than predictive systems using scoring. The proposed methodology is based on the following stages: preliminary data analysis, analysis of the architecture and systems integration model, the big data model approach, information structure and process development, and the application of machine learning techniques. This investigation substantiates that automated machine learning models significantly surpass traditional prediction techniques for patient outcomes within critical care settings. Specifically, the machine learning-based model attained an F1 score of 0.351 for mortality forecast and 0.615 for length of stay, in contrast to the traditional scoring model’s F1 scores of 0.112 for mortality and 0.412 for length of stay. These results strongly support the advantages of integrating advanced computational techniques in critical healthcare environments. It is also shown that the use of integration architectures allows for improving the quality of the information by providing a data repository large enough to generate intelligent models. From a clinical point of view, obtaining more accurate results in the estimation of the ICU stay and survival offers the possibility of expanding the uses of the model to the identification and prioritization of patients who are candidates for admission to the ICU, as well as the management of patients with specific conditions.

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Section: Integration and Architecturementioning

confidence: 99%

An Intelligent Model and Methodology for Predicting Length of Stay and Survival in a Critical Care Hospital Unit

Maldonado Belmonte,

Oton-Tortosa,

Gutierrez-Martinez

et al. 2024

Informatics

Self Cite

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“…Ref. [27] refer to this form of implementation as phased, which means that the process is divided into subsets. If that is the case, companies that use phased BIM implementation have a lower risk of failing in the endeavor than those who have implemented it fully.…”

Section: Descriptive Statisticsmentioning

confidence: 99%

The Impact of Building Information Modeling Technology on Cost Management of Civil Engineering Projects: A Case Study of the Mombasa Port Area Development Project

Nsimbe,

2024

Buildings

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Introduction: This study examines the impact of building information modeling on the cost management of engineering projects, focusing specifically on the Mombasa Port Area Development Project. The objective of this research is to determine the mechanisms through which building information modeling facilitates stakeholder collaboration, reduces construction-related expenses, and enhances the precision of cost estimation. Furthermore, this study investigates barriers to execution, assesses the impact on the project’s transparency, and suggests approaches to maximize resource utilization. Methodology: This study employed a mixed-method research design comprising document reviews and surveys. During the document review, credible databases including ScienceDirect and Institute of Electrical and Electronics Engineers Xplore were explored. The survey included 69 professionals, among which were project managers, cost estimators, and building information modeling administrators. The mixed-methods approach prioritized ethical considerations and the statistical Package for the Social Sciences and Microsoft Excel were used in the analysis. Results: The results show that building information modeling is a valuable system for organizations looking to reduce project costs. The results note that the technology improves cost estimation accuracy, facilitates the identification of cost-related risks, and promotes collaborative decision-making. Conclusions: Building information modeling is an effective cost-estimating technology that positively impacts additional project aspects such as decision-making, collaboration, performance, and delivery time. Therefore, the Mombasa Port Area Development Project should inspire other stakeholders in engineering and construction to embrace building information modeling.

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Proposal for a Standard Architecture for the Integration of Clinical Information Systems in a Complex Hospital Environment

Cited by 2 publications

References 27 publications

An Intelligent Model and Methodology for Predicting Length of Stay and Survival in a Critical Care Hospital Unit

An Intelligent Model and Methodology for Predicting Length of Stay and Survival in a Critical Care Hospital Unit

The Impact of Building Information Modeling Technology on Cost Management of Civil Engineering Projects: A Case Study of the Mombasa Port Area Development Project

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