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弥合姑息家庭护理中的数字准备差距:一种从流程到数据的方法。

Bridging the digital readiness gap in palliative home care: A process to data approach.

作者信息

Odeh Yousra, Shamieh Omar

机构信息

Software Engineering Department, Faculty of Science and Information Technology, Al-Zaytoonah University of Jordan, Amman, Jordan.

Department of Hospice, Palliative Care, King Hussein Cancer Center, Amman, Jordan.

出版信息

Digit Health. 2025 May 29;11:20552076251346380. doi: 10.1177/20552076251346380. eCollection 2025 Jan-Dec.

DOI:10.1177/20552076251346380
PMID:40453050
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12123121/
Abstract

INTRODUCTION

As the population increase and cancer becomes a leading cause of death, there is an increasing need for personalized, technologically aided, and cost-effective home care. Instead of adding more hospital beds, more patients may receive long-term, high-quality treatment at home by transitioning to digital home healthcare systems. The economic challenges in Jordan could significantly impact the availability of palliative healthcare services for cancer patients. Home care can be a useful and affordable solution to these problems. However, a critical analysis of the current process and its corresponding data structure is necessary to prepare for digital solutions.

OBJECTIVES

To comprehend the existing palliative home care process and its respective data for cancer patients in Jordan prior to its digital transformation.

METHODS

The design science research methodology has been applied within two increments of deliverables. A role-oriented business process modeling technique was used in the first increment to present and get a critical understanding of the current palliative home care process and the accompanying data consumed to narrow the digital readiness gap. A data model from the first increment was algorithmically derived in the second increment. The King Hussein Cancer Center in Jordan's case study on the palliative home care process is used to demonstrate and evaluate the work.

RESULTS

The work delivered 33 data entities and their relationships from role-oriented business process models that were not identified before this research.

CONCLUSION

The business process model and data model contribute to attaining a higher digital readiness before a digital transformation into a technology-supported palliative home care system. This has involved eliciting roles, associated responsibilities, interactions, and privileges regarding their activities and respective data for future development. However, still some limitations are identified.

摘要

引言

随着人口增长,癌症成为主要死因,对个性化、技术辅助且经济高效的家庭护理的需求日益增加。与其增加医院病床,不如通过向数字家庭医疗系统转型,让更多患者在家中接受长期、高质量的治疗。约旦的经济挑战可能会严重影响癌症患者姑息治疗服务的可及性。家庭护理可能是解决这些问题的有效且经济实惠的方案。然而,为数字解决方案做准备,有必要对当前流程及其相应的数据结构进行批判性分析。

目的

在约旦癌症患者的姑息家庭护理流程进行数字化转型之前,了解其现有流程及其相关数据。

方法

设计科学研究方法已应用于两个可交付成果增量中。在第一个增量中使用了面向角色的业务流程建模技术,以呈现并深入了解当前的姑息家庭护理流程以及为缩小数字准备差距所消耗的相关数据。在第二个增量中,从第一个增量的数据模型中通过算法得出一个数据模型。以约旦侯赛因国王癌症中心关于姑息家庭护理流程的案例研究来展示和评估这项工作。

结果

这项工作从面向角色的业务流程模型中得出了33个数据实体及其关系,这些在本研究之前并未被识别出来。

结论

业务流程模型和数据模型有助于在向技术支持的姑息家庭护理系统进行数字化转型之前实现更高的数字准备度。这涉及到引出与未来发展相关的角色、相关职责、交互以及他们活动和各自数据的权限。然而,仍发现了一些局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfab/12123121/40f61627a674/10.1177_20552076251346380-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfab/12123121/7d16ec40192a/10.1177_20552076251346380-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfab/12123121/678ea5173059/10.1177_20552076251346380-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfab/12123121/afd590132f7e/10.1177_20552076251346380-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfab/12123121/d8e96d81ccf7/10.1177_20552076251346380-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfab/12123121/40f61627a674/10.1177_20552076251346380-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfab/12123121/7d16ec40192a/10.1177_20552076251346380-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfab/12123121/678ea5173059/10.1177_20552076251346380-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfab/12123121/afd590132f7e/10.1177_20552076251346380-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfab/12123121/d8e96d81ccf7/10.1177_20552076251346380-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfab/12123121/40f61627a674/10.1177_20552076251346380-fig5.jpg

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