Odeh Yousra, Al-Ruzzieh Majeda, Al Rifai Anwar, Mustafa Hiba, Odeh Mohammad
Software Engineering Department, Faculty of Science and Information Technology, Al-Zaytoonah University of Jordan, Amman, Jordan.
Cancer Care Informatics Program, King Hussein Cancer Center, Amman, Jordan.
Digit Health. 2024 Sep 15;10:20552076241281193. doi: 10.1177/20552076241281193. eCollection 2024 Jan-Dec.
Evidence-based practice is a problem-based solving approach to clinical practice that encourages nurses providing personalized patient care while utilizing the necessary scientific evidence for a better understanding of risks and benefits of diagnostic tests and treatments. Digital transformation of an organization begins with attaining an acceptable digital readiness level. One approach entails specifying and modeling their processes and the respective data models.
In Jordan, at King Hussein Cancer Center-an international and regional accredited cancer care hospital-their nursing practice requires obtaining a standardized specification of evidence-based practice processes and their respective conceptual data model that is currently not specified for digital readiness.
The design science research methodology was adopted to deliver two increments. The first was concerned with the design, development, and demonstration of eight evidence-based practice processes specified using BPMN. The second was related to the design and development, demonstration, and evaluation of a respective derived data model of the case study. Both increments involved interviews with domain experts for elicitation and validation.
Eight evidence-based practice process models were identified and specified using BPMN along with their associated data models, where one representative process model was utilized in this research to demonstrate the effectiveness of process and data modeling towards digital readiness of evidence-based practice in regional cancer center.
Both deliverables enabled the evidence-based practice management to attain common understanding to identify inefficiencies, redundancies, and areas for improvement that can be addressed through digital solutions. Evidence -based practice BPMN process models were considered as a road map to follow up a project implementation and a rich visualization to perform data analytics to identify evidence-based practice trends, patterns, and insights that can inform strategic data-driven decisions. Both deliverables were concluded necessary for developing respective information systems in the journey towards digital transformation.
循证实践是一种基于问题的临床实践解决方法，鼓励护士在提供个性化患者护理的同时，利用必要的科学证据，以便更好地理解诊断测试和治疗的风险与益处。组织的数字化转型始于达到可接受的数字准备水平。一种方法是对其流程和相应的数据模型进行规范和建模。
在约旦，侯赛因国王癌症中心是一家获得国际和地区认可的癌症护理医院，其护理实践需要获得循证实践流程及其各自概念数据模型的标准化规范，而目前尚未针对数字准备情况进行明确规定。
采用设计科学研究方法分两个阶段进行。第一阶段涉及设计、开发和展示使用BPMN指定的八个循证实践流程。第二阶段涉及案例研究相应派生数据模型的设计、开发、展示和评估。两个阶段都包括与领域专家进行访谈以获取信息和进行验证。
使用BPMN识别并指定了八个循证实践流程模型及其相关数据模型，本研究中使用一个代表性流程模型来证明流程和数据建模对区域癌症中心循证实践数字准备情况的有效性。
这两个交付成果使循证实践管理能够达成共识，以识别可通过数字解决方案解决的低效率、冗余和改进领域。循证实践BPMN流程模型被视为跟进项目实施的路线图，以及进行数据分析以识别循证实践趋势、模式和见解的丰富可视化工具，这些趋势、模式和见解可为基于数据的战略决策提供信息。在向数字化转型的过程中，这两个交付成果对于开发各自的信息系统而言都是必要的。
