Groupe de Recherche Interdisciplinaire en Informatique de la Santé (GRIIS.ca), Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada.
IRIT-Institut de Recherche en Informatique de Toulouse (CNRS), 31400 Toulouse, France.
Int J Environ Res Public Health. 2021 Nov 16;18(22):12025. doi: 10.3390/ijerph182212025.
While drugs and related products have profoundly changed the lives of people around the world, ongoing challenges remain, including inappropriate use of a drug product. Inappropriate uses can be explained in part by ambiguous or incomplete information, for example, missing reasons for treatments, ambiguous information on how to take a medication, or lack of information on medication-related events outside the health care system. In order to fully assess the situation, data from multiple systems (electronic medical records, pharmacy and radiology information systems, laboratory management systems, etc.) from multiple organizations (outpatient clinics, hospitals, long-term care facilities, laboratories, pharmacies, registries, governments) on a large geographical scale is needed. Formal knowledge models like ontologies can help address such an information integration challenge. Existing approaches like the Observational Medical Outcomes Partnership are discussed and contrasted with the use of ontologies and systems using them for data integration. The PRescription Drug Ontology 2.0 (PDRO 2.0) is then presented and entities that are paramount in addressing this problematic are described. Finally, the benefits of using PDRO are discussed through a series of exemplar situation.
虽然药物和相关产品深刻地改变了世界各地人们的生活，但仍存在持续的挑战，包括药物产品的不当使用。药物使用不当部分可以用信息模糊或不完整来解释，例如，缺少治疗原因、药物服用信息模糊，或者缺乏医疗系统外与药物相关的事件信息。为了全面评估情况，需要来自多个组织（门诊、医院、长期护理机构、实验室、药房、登记处、政府）的多个系统（电子病历、药房和放射信息系统、实验室管理系统等）的大地理尺度的数据。本体等形式化知识模型可以帮助解决这种信息集成挑战。本文讨论了现有的方法，如观察性医疗结局伙伴关系，并将其与本体的使用和使用本体进行数据集成的系统进行了对比。然后介绍了处方药物本体 2.0（PDRO 2.0），并描述了在解决这一问题时至关重要的实体。最后，通过一系列示例情况讨论了使用 PDRO 的好处。
