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2
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本文引用的文献

1
Implementation of an ontological reasoning to support the guideline-based management of primary breast cancer patients in the DESIREE project.在DESIREE项目中实施本体推理以支持原发性乳腺癌患者的基于指南的管理。
Artif Intell Med. 2020 Aug;108:101922. doi: 10.1016/j.artmed.2020.101922. Epub 2020 Jul 2.
2
Clinical Decision Support Systems in Breast Cancer: A Systematic Review.乳腺癌临床决策支持系统：一项系统综述。
Cancers (Basel). 2020 Feb 6;12(2):369. doi: 10.3390/cancers12020369.
3
Decision Support Systems in Oncology.肿瘤学中的决策支持系统
JCO Clin Cancer Inform. 2019 Feb;3:1-9. doi: 10.1200/CCI.18.00001.
4
Implementing Guideline-Based, Experience-Based, and Case-Based Approaches to Enrich Decision Support for the Management of Breast Cancer Patients in the DESIREE Project.在DESIREE项目中实施基于指南、经验和病例的方法，以丰富乳腺癌患者管理的决策支持。
Stud Health Technol Inform. 2018;255:190-194.
5
Implementing a Multidisciplinary Tumor Board in the Community Practice Setting.在社区实践环境中实施多学科肿瘤专家会诊小组
Diagnostics (Basel). 2017 Oct 17;7(4):55. doi: 10.3390/diagnostics7040055.
6
Internet tools to enhance breast cancer care.用于改善乳腺癌护理的互联网工具。
NPJ Breast Cancer. 2016 Apr 27;2:16011. doi: 10.1038/npjbcancer.2016.11. eCollection 2016.
7
Using visual analytics for presenting comparative information on new drugs.使用视觉分析来呈现关于新药的比较信息。
J Biomed Inform. 2017 Jul;71:58-69. doi: 10.1016/j.jbi.2017.04.019. Epub 2017 May 23.
8
Quality of life outcomes in patients with breast cancer.乳腺癌患者的生活质量结果
Oncol Rev. 2012 Jan 30;6(1):e2. doi: 10.4081/oncol.2012.e2. eCollection 2012 Mar 5.
9
Which breast cancer decisions remain non-compliant with guidelines despite the use of computerised decision support?尽管使用了计算机化决策支持，哪些乳腺癌决策仍然不符合指南？
Br J Cancer. 2013 Sep 3;109(5):1147-56. doi: 10.1038/bjc.2013.453. Epub 2013 Aug 13.
10
Effect of clinical decision-support systems: a systematic review.临床决策支持系统的效果：系统评价。
Ann Intern Med. 2012 Jul 3;157(1):29-43. doi: 10.7326/0003-4819-157-1-201207030-00450.

DESIREE，一个用于管理原发性乳腺癌患者的决策支持平台的初步定性和定量评估。

Preliminary Qualitative and Quantitative Evaluation of DESIREE, a Decision Support Platform for the Management of Primary Breast Cancer Patients.

机构信息

Univ. Lille, Inserm, CHU Lille, CIC-IT 1403/Evalab, EA 2694, Lille, France.

Assistance Publique-Hôpitaux de Paris, DRCI, Paris, France.

出版信息

AMIA Annu Symp Proc. 2021 Jan 25;2020:1012-1021. eCollection 2020.

PMID:33936477
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8075492/
Abstract

The DESIREE project has developed a platform offering several complementary therapeutic decision support systems (DSSs) to improve care quality for breast cancer patients. A first assessment of the system was carried out in close-to-real tumor boards (TBs). Fourteen TB sessions were organized corresponding to a total of 125 exploitable decisions previously made without the system and re-played with the system after a washout period in three pilot sites. Results show an overestimation of declared compliance with guidelines when not using the system as compared to measured compliance with the recommendations issued from the guideline-based DSS of DESIREE. After using the system, measured compliance rate of decisions with guidelines was significantly improved from 74.4% to 89.6%. Most of the changes in decisions when using the guideline-based DSS were associated with non-compliant decisions that became compliant. Qualitative analysis and interviews showed that despite maturity issues, clinicians found DESIREE DSSs innovative and promising.

摘要

DESIREE 项目开发了一个平台，提供了几个互补的治疗决策支持系统（DSS），以提高乳腺癌患者的护理质量。对系统进行了首次评估，是在接近真实的肿瘤委员会（TB）中进行的。组织了 14 次 TB 会议，共涉及 125 项可利用的决策，这些决策是在三个试点地点使用系统之前和使用系统后的洗脱期内做出的。结果表明，与基于指南的 DESIREE DSS 发布的建议的测量依从性相比，在不使用系统时，对指南的声明依从性存在高估。使用系统后，与指南一致的决策的测量依从率从 74.4%显著提高到 89.6%。使用基于指南的 DSS 时，决策的大多数变化都与变得一致的不一致决策有关。定性分析和访谈表明，尽管存在成熟度问题，但临床医生认为 DESIREE DSS 具有创新性和前景。