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美国心脏协会(AHA)依从性本体的循证实践改进计划:知识表示高级工具

EIP on AHA Ontology for adherence: Knowledge representation advanced tools.

作者信息

Román-Villarán E, Pérez-Leon F P, Escobar-Rodriguez G A, Parra-Calderón C L

机构信息

Biomedical Informatics, Biomedical Engineering and Health Economy R&I Group. 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.

出版信息

Transl Med UniSa. 2019 Jan 6;19:49-53. eCollection 2019 Jan-Jun.

PMID:31360667
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6581489/
Abstract

Nowadays diseases tend to chronicle, mainly due to the increase in life expectancy and this leads to a state of polypharmacy. More than 1.5% of Spain's GDP is spent on pharmaceuticals and healthcare products. Complex chronic patients (pluripathological and polymedicated) account for most of the expenditure. The "Action Group A1" of the European Innovation Partnership develops in the "Active and Healthy Ageing" programme actions to improve the quality of life and health outcomes of these patients. On the other hand, the PITeS TIiSS project develops decision support tools to improve this scenario. An ontology has been developed as a tool on adherence. The domain of this ontology is mainly focused on medication adherence and measurement methods. This ontology gathers the necessary knowledge about the domain allowing the use of the ontology as part for is possible.

摘要

如今,疾病往往呈慢性化,主要是由于预期寿命的增加,这导致了多重用药的状态。西班牙超过1.5%的国内生产总值用于药品和医疗保健产品。复杂的慢性病患者(患有多种疾病且使用多种药物)占了大部分支出。欧洲创新伙伴关系的“A1行动小组”在“积极健康老龄化”计划中开展行动,以改善这些患者的生活质量和健康结果。另一方面,PITeS TIiSS项目开发决策支持工具来改善这种情况。已经开发了一种本体作为依从性工具。该本体的领域主要集中在药物依从性和测量方法上。这个本体收集了该领域的必要知识,以便尽可能将本体用作其中一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/820e/6581489/3d7b009bbfdb/TM-19-049-i001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/820e/6581489/3d7b009bbfdb/TM-19-049-i001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/820e/6581489/3d7b009bbfdb/TM-19-049-i001.jpg

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Yearb Med Inform. 2018 Aug;27(1):140-145. doi: 10.1055/s-0038-1667078. Epub 2018 Aug 29.
2
Studying the impact of a medication use evaluation for polymedicated older patients by the community pharmacist (SIMENON): study protocol.研究社区药剂师对多药治疗老年患者进行药物使用评估的影响(SIMENON):研究方案。
BMC Health Serv Res. 2018 Aug 8;18(1):623. doi: 10.1186/s12913-018-3440-z.
3
ESPACOMP Medication Adherence Reporting Guideline (EMERGE).
《ESPACOMP 药物依从性报告指南(EMERGE)》。
Ann Intern Med. 2018 Jul 3;169(1):30-35. doi: 10.7326/M18-0543. Epub 2018 Jun 26.
4
A case study of polypharmacy management in nine European countries: Implications for change management and implementation.九个欧洲国家的多药治疗管理案例研究:对变革管理和实施的启示。
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5
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6
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8
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9
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