Medical Informatics and Technology, UMIT - Tirol Private University for Health Sciences, Hall in Tirol, Austria.
Digital & Automation, Siemens Healthineers, Vienna, Austria.
Stud Health Technol Inform. 2022 Aug 17;296:1-8. doi: 10.3233/SHTI220797.
Chronic wounds have significant impacts on patient health-related quality of life (HRQoL) and the healthcare expenditures. Various complex decision-making scenarios arise from wound management. Clinical decision-making systems (CDSS) can assist in relieving healthcare providers in these complex decision-making processes and improve the quality of care. In our study, we used the Decision Model & Notation (DMN) standard as a knowledge representation format to implement a knowledge base for chronic wound material recommendation in phase-based therapy. The resulting decision model is theoretically consistent and sustainable. With this study, we also emphasized the need of a semantic interoperability framework. This opens further research possibilities regarding the improvement of the model and the interest of DMN for decision models in clinical fields.
慢性伤口对患者的健康相关生活质量（HRQoL）和医疗支出有重大影响。各种复杂的决策情况会出现在伤口管理中。临床决策支持系统（CDSS）可以帮助减轻医疗保健提供者在这些复杂决策过程中的负担，并提高护理质量。在我们的研究中，我们使用决策模型与标记法（DMN）标准作为知识表示格式，在基于阶段的治疗中为慢性伤口材料推荐实现知识库。所得到的决策模型在理论上是一致和可持续的。通过这项研究，我们还强调了需要一个语义互操作性框架。这为改进模型和 DMN 对临床领域决策模型的兴趣开辟了进一步的研究可能性。
