Enhanced Teamwork Communication Model for Electronic Clinical Pathways in Healthcare

Q3 Computer Science

Open Bioinformatics Journal Pub Date : 2018-07-31 DOI:10.2174/1875036201811010140

Wasef Mater, M. Aldwairi, R. Ibrahim

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引用次数: 3

Abstract

Background: One of the main challenges to hospital patient flow and treatment includes the lack of a patient-centered approach, which in turn contributes to non-effective teamwork communication. Objectives: To introduce patient-centered approach by implementing electronic clinical pathways to support more effective teamwork communication. To study how to enhance teamwork communication in healthcare by implementing electronic clinical pathways. Methods: We propose a research model, integrating the Donbedian model and the socio-technical theory, to investigate the factors that influence teamwork communication in healthcare. This research applied a quantitative approach using a survey method that was designed along the same principles as in the related work. Preliminary data collection was conducted using the survey method for problem formulation. Results: Designed and developed a model for implementing electronic clinical pathways to enhance teamwork communication in healthcare. Conclusion: This study provides recommendations to hospitals to enhance teamwork communication in healthcare by implementing electronic clinical pathways.

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医疗保健电子临床路径的增强团队沟通模型

背景:医院患者流动和治疗的主要挑战之一包括缺乏以患者为中心的方法，这反过来又导致了无效的团队沟通。目的:通过实施电子临床路径，引入以患者为中心的方法，以支持更有效的团队沟通。目的:探讨如何通过实施电子临床路径加强医疗团队沟通。方法:采用东贝甸模型和社会技术理论相结合的研究模型，探讨医疗保健团队沟通的影响因素。本研究采用了定量的方法，采用了一种调查方法，该方法是按照与相关工作相同的原则设计的。采用问卷调查的方法进行初步的数据收集。结果:设计并开发了一个实施电子临床路径的模型，以加强医疗团队的沟通。结论:本研究为医院实施电子临床路径，加强医疗团队沟通提供建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Open Bioinformatics Journal Computer Science-Computer Science (miscellaneous)

CiteScore

2.40

自引率

0.00%

发文量

期刊介绍： The Open Bioinformatics Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, letters, clinical trial studies and guest edited single topic issues in all areas of bioinformatics and computational biology. The coverage includes biomedicine, focusing on large data acquisition, analysis and curation, computational and statistical methods for the modeling and analysis of biological data, and descriptions of new algorithms and databases. The Open Bioinformatics Journal, a peer reviewed journal, is an important and reliable source of current information on the developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.