认知计算决策支持系统在卫生保健决策评估中的应用

Q2 Computer Science

Journal of Systems and Information Technology Pub Date : 2023-10-19 DOI:10.1108/jsit-10-2021-0221

Rajat Kumar Behera, Pradip Kumar Bala, Prabin Kumar Panigrahi, Shilpee A. Dasgupta

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引用次数: 0

摘要

尽管技术进步提高了患者的健康水平，但未能发现数字健康中正确的相互作用和趋势的风险很高。因此，需要针对需求和能力制定一项谨慎的医疗保险政策。因此，本研究旨在探索认知计算决策支持系统(CCDSS)在医疗保健决策评估中的应用，并通过扩展技术接受与使用统一理论模型对其进行验证。设计/方法/方法进行了一项调查，以收集来自不同利益相关者的数据，即4p，即患者，提供者，付款人和政策制定者。采用结构方程模型和单因素方差分析对数据进行分析。结果表明，决策者对卫生保健决策评估的行为洞察力是基于自动和反思系统的。投资用于决策评估的CCDSS有可能产生合理的结果。CCDSS建立在质量程序之上，可以验证支持母乳喂养的政策是否对母亲友好。研究限制/影响立法者利用保健政策来保护和改善公众健康，但这一直是一项挑战。通过采用CCDSS，医疗保健决策的总体目标可以达到更好的质量标准，并改进决策的设计。独创性/价值本研究关注了CCDSS作为技术推动者如何推动各阶段卫生保健政策制定评估，以及技术推动者如何通过展示母乳喂养支持政策，帮助卫生保健4p深入了解CCDSS的好处和潜在价值。

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Adoption of cognitive computing decision support system in the assessment of health-care policymaking

Purpose Despite technological advancements to enhance patient health, the risks of not discovering the correct interactions and trends in digital health are high. Hence, a careful policy is required for health coverage tailored to needs and capacity. Therefore, this study aims to explore the adoption of a cognitive computing decision support system (CCDSS) in the assessment of health-care policymaking and validates it by extending the unified theory of acceptance and use of technology model. Design/methodology/approach A survey was conducted to collect data from different stakeholders, referred to as the 4Ps, namely, patients, providers, payors and policymakers. Structural equation modelling and one-way ANOVA were used to analyse the data. Findings The result reveals that the behavioural insight of policymakers towards the assessment of health-care policymaking is based on automatic and reflective systems. Investments in CCDSS for policymaking assessment have the potential to produce rational outcomes. CCDSS, built with quality procedures, can validate whether breastfeeding-supporting policies are mother-friendly. Research limitations/implications Health-care policies are used by lawmakers to safeguard and improve public health, but it has always been a challenge. With the adoption of CCDSS, the overall goal of health-care policymaking can achieve better quality standards and improve the design of policymaking. Originality/value This study drew attention to how CCDSS as a technology enabler can drive health-care policymaking assessment for each stage and how the technology enabler can help the 4Ps of health-care gain insight into the benefits and potential value of CCDSS by demonstrating the breastfeeding supporting policy.

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来源期刊

Journal of Systems and Information Technology Computer Science-Computer Science (all)

CiteScore

4.40

自引率

0.00%

发文量

期刊介绍： The Journal provides an avenue for scholarly work that researches systems thinking applications, information systems, electronic business, data analytics, information sciences, information management, business intelligence, and complex adaptive systems in the application domains of the business environment, health, the built environment, cultural settings, and the natural environment. Papers examine the wider implications of the systems or technology being researched. This means papers consider aspects such as social and organisational relevance, business value, cognitive implications, social implications, impact on individuals or community perspectives, and the development of solutions, rather than focusing solely on the technology. The Journal of Systems and Information Technology is open to a wide range of research methodologies and paper styles including case studies, surveys, experiments, review papers, design science, design thinking and both theoretical and methodological papers. The focus of the journal will be to publish work that fits into the following broad areas of research: Behavioural Information Systems and Human-Computer Interaction, Data Analytics, Data, Information and Security, E-Business, Intelligent Systems and Applications, Logistics and Supply Chain Management/Optimisation, Social Media Analysis, Technology Enhanced Learning.