Suppr超能文献

协调国际人用药品注册技术协调会(ICHOM)质量指标以实现对多病患者健康结局的衡量

Harmonization of the ICHOM Quality Measures to Enable Health Outcomes Measurement in Multimorbid Patients.

作者信息

Blom Mathias C, Khalid Mona, Van-Lettow Britt, Hutink Henk, Larsson Stefan, Huff Stan, Ingvar Martin

机构信息

The Boston Consulting Group, Boston, MA, United States.

International Consortium for Health Outcome Measurement, London, United Kingdom.

出版信息

Front Digit Health. 2020 Dec 15;2:606246. doi: 10.3389/fdgth.2020.606246. eCollection 2020.

Abstract

To update the sets of patient-centric outcomes measures ("standard-sets") developed by the not-for-profit organization ICHOM to become more readily applicable in patients with multimorbidity and to facilitate their implementation in health information systems. To that end we set out to (i) harmonize measures previously defined separately for different conditions, (ii) create clinical information models from the measures, and (iii) restructure the annotation to make the sets machine-readable. First, we harmonized the semantic meaning of individual measures across all the 28 standard-sets published to date, in a harmonized measure repository. Second, measures corresponding to four conditions (Breast cancer, Cataracts, Inflammatory bowel disease and Heart failure) were expressed as logical models and mapped to reference terminologies in a pilot study. The harmonization of semantic meaning resulted in a consolidation of measures used across the standard-sets by 15%, from 3,178 to 2,712. These were all converted into a machine-readable format. 61% of the measures in the 4 pilot sets were bound to existing concepts in either SNOMED CT or LOINC. The harmonization of ICHOM measures across conditions is expected to increase the applicability of ICHOM standard-sets to multi-morbid patients, as well as facilitate their implementation in health information systems. Harmonizing the ICHOM measures and making them machine-readable is expected to expedite the global adoption of systematic and interoperable outcomes measurement. In turn, we hope that the improved transparency on health outcomes that follows will let health systems across the globe learn from each other to the ultimate benefit of patients.

摘要

更新非营利组织国际健康结局测量联盟(ICHOM)制定的以患者为中心的结局指标集(“标准集”),使其更易于应用于患有多种疾病的患者,并促进其在健康信息系统中的实施。为此,我们着手:(i)协调先前针对不同疾病分别定义的指标;(ii)根据这些指标创建临床信息模型;(iii)重组注释以使指标集能够被机器读取。首先,我们在一个统一的指标库中,协调了迄今为止发布的所有28个标准集中各个指标的语义含义。其次,在一项试点研究中,将与四种疾病(乳腺癌、白内障、炎症性肠病和心力衰竭)对应的指标表示为逻辑模型,并映射到参考术语表。语义含义的协调使标准集中使用的指标数量减少了15%,从3178个减少到2712个。所有这些指标都被转换为机器可读格式。4个试点集中61%的指标与SNOMED CT或LOINC中的现有概念相关联。预计跨疾病协调ICHOM指标将提高ICHOM标准集对多病患者的适用性,并促进其在健康信息系统中的实施。协调ICHOM指标并使其机器可读有望加快全球对系统且可互操作的结局测量的采用。相应地,我们希望随之而来的健康结局透明度的提高能让全球的卫生系统相互学习,最终造福患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e03/8521789/45e93ebc1f02/fdgth-02-606246-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验