Román-Villarán E, Pérez-Leon F P, Escobar-Rodriguez G A, Martínez-García A, Álvarez-Romero C, Parra-Calderón C L
Group for Research and Innovation in Biomedical Informatics, Biomedical Engineering, and Health Economy. Institute of Biomedicine of Seville, IBiS/"Virgen del Rocío" University Hospital /CSIC/University of Seville, Seville, Spain.
Head of Innovation Technology, "Virgen del Rocío" University Hospital, Seville, Spain.
Stud Health Technol Inform. 2019 Aug 21;264:758-762. doi: 10.3233/SHTI190325.
Management of the complex chronically ill patient is highly problematic. This is due to the need to complement recommendations in clinical guidelines with recommendations based on treatments performed on a representative set of patients. It is necessary to identify conflicts between the recommendations of different guidelines designed for handling specific chronic diseases. The PITeS-TIiSS project (code PI15/01213) aims to overcome this problem by designing and deploying an ontology-based personalized clinical decision support tool. This helps to improve personalized decisions and reduces variability in clinical practice in an integrated care environment. This paper describes the methodology followed in developing the ontology used to infer clinical knowledge and to develop and implement the support tool. The tool will access the information provided by the Electronic Health Record of Andalusian Health Public Service, the main healthcare provider in a region in Spain with more than eight million inhabitants.
复杂慢性病患者的管理极具挑战性。这是因为需要将临床指南中的建议与基于对一组具有代表性的患者所进行治疗的建议相结合。有必要识别针对特定慢性病的不同指南建议之间的冲突。PITeS-TIiSS项目(代码PI15/01213)旨在通过设计和部署一个基于本体的个性化临床决策支持工具来解决这一问题。这有助于改善个性化决策,并减少综合护理环境中临床实践的变异性。本文描述了在开发用于推断临床知识以及开发和实施支持工具的本体过程中所遵循的方法。该工具将获取西班牙安达卢西亚公共卫生服务电子健康记录提供的信息,安达卢西亚是西班牙一个拥有超过八百万居民的地区的主要医疗服务提供者。