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约旦公共卫生部门药物输送系统的构建框架。

Proposed framework for medication delivery system in the Jordanian public health sector.

机构信息

Software department, Electronic Health Solutions, Amman, Jordan.

Engineering Faculty, University of Jordan, Amman, Jordan.

出版信息

BMC Med Inform Decis Mak. 2024 Oct 10;24(1):297. doi: 10.1186/s12911-024-02673-2.

DOI:10.1186/s12911-024-02673-2
PMID:39390560
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11468409/
Abstract

BACKGROUND

In Jordan, the confluence of traffic congestion and overcrowding in public hospitals poses a significant challenge for patients to collect their medications timely. This challenge was further intensified during the COVID-19 pandemic. Recognizing this issue, the Ministry of Health (MOH) and Electronic Health Solutions (EHS) intend to establish a Medication Delivery System (MDS), designed to provide patients with home delivery of medications and ensure proper treatment. This paper outlines a comprehensive framework to guide requirements engineers in devising an effective MDS framework, with a focus on expediting the development and testing processes and mitigating the risks associated with constructing such a system.

METHOD

The proposed methodology entails a robust, structured approach to requirements development for an MDS that integrates an electronic health record system, billing system, pharmacy application, the patient-oriented My Hakeem app, and a delivery tracking system. The requirements elicitation and analysis processes were undertaken by a multidisciplinary committee from MOH and EHS teams, ensuring a diverse understanding of stakeholder needs and expectations. The requirement specifications were meticulously documented via a data dictionary, unified modeling language (UML), and context diagrams. The quality and accuracy of the requirements were verified through an extensive validation process, involving thorough review by various EHS teams and the MOH committee.

RESULTS

The MDS was implemented across numerous MOH facilities within a timeline that was a third of the original projection, leveraging the same level of resources and expertise. Post the requirements development phase, there were no changes requested by any stakeholders, indicating a high level of requirement accuracy and satisfaction.

CONCLUSION

The study illustrates that our proposed methodology significantly results in a comprehensive, well-documented, and validated set of requirements, which streamlines the development and testing phases of the project and effectively eliminates requirement errors at an early stage of the requirements development process.

摘要

背景

在约旦,交通拥堵和公立医院人满为患的问题使得患者难以及时领取药物,这一问题在 COVID-19 大流行期间更加严重。为了解决这一问题,卫生部(MOH)和电子健康解决方案(EHS)计划建立一个药物配送系统(MDS),旨在为患者提供药物的上门配送服务,并确保治疗的顺利进行。本文概述了一个全面的框架,旨在指导需求工程师设计一个有效的 MDS 框架,重点是加快开发和测试过程,并降低构建此类系统的相关风险。

方法

该方法采用了一种强大的、结构化的方法来开发 MDS 的需求,该方法集成了电子健康记录系统、计费系统、药房应用程序、面向患者的 My Hakeem 应用程序和配送跟踪系统。需求的启发和分析过程由来自卫生部和 EHS 团队的多学科委员会进行,确保了对利益相关者需求和期望的多样化理解。需求规范通过数据字典、统一建模语言(UML)和上下文图进行了详细记录。通过各种 EHS 团队和卫生部委员会的广泛验证过程,验证了需求的质量和准确性。

结果

MDS 在卫生部的多个设施中实施,时间比原计划缩短了三分之一,同时使用了相同的资源和专业知识。在需求开发阶段之后,没有任何利益相关者提出更改请求,这表明需求的准确性和满意度都很高。

结论

该研究表明,我们提出的方法显著产生了一套全面、有文件记录和经过验证的需求,这简化了项目的开发和测试阶段,并在需求开发过程的早期有效地消除了需求错误。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/4155d502c645/12911_2024_2673_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/bd7dd014e832/12911_2024_2673_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/3b70fd892361/12911_2024_2673_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/124ddbcf91f9/12911_2024_2673_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/7b6e40c3c142/12911_2024_2673_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/c573514c6323/12911_2024_2673_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/4155d502c645/12911_2024_2673_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/bd7dd014e832/12911_2024_2673_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/28eec703e088/12911_2024_2673_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/aaed5f2746af/12911_2024_2673_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/6da9bc8fe21c/12911_2024_2673_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/3b70fd892361/12911_2024_2673_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/124ddbcf91f9/12911_2024_2673_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/7b6e40c3c142/12911_2024_2673_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/c573514c6323/12911_2024_2673_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff2/11468409/4155d502c645/12911_2024_2673_Fig9_HTML.jpg

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