• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

评估基于应用程序的临床决策支持系统对静脉血栓栓塞管理益处的随机对照试验。

Randomized controlled trial evaluating the benefit of the app-based clinical decision support system for the management of venous thromboembolism.

作者信息

Chairat Pajaree, Niprapan Piangrawee, Hantrakun Nonthakorn, Tantiworawit Adisak, Punnachet Teerachat, Piriyakhuntorn Pokpong, Rattanathammethee Thanawat, Hantrakool Sasinee, Rattarittamrong Ekarat, Norasetthada Lalita, Chai-Adisaksopha Chatree

机构信息

Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, 110 Intawarorot road, Sriphum, Muang, Chiang Mai, 50200, Thailand.

出版信息

BMC Med Educ. 2025 Mar 30;25(1):460. doi: 10.1186/s12909-025-07014-z.

DOI:10.1186/s12909-025-07014-z
PMID:40159474
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11956210/
Abstract

INTRODUCTION

Anticoagulant prescription and management are crucial steps of management of venous thromboembolism (VTE). The Clinical decision support systems (CDSS) are designed and developed to aid healthcare professionals in making informed decisions.

OBJECTIVES

To develop and assess the efficacy the mobile app-based CDSS for the management of VTE.

METHODS

A randomized controlled trial was conducted, enrolling participants aged ≥ 20 years who were one of the following categories: medical student, intern, internal medicine resident, or hematology fellow. Participants were randomly assigned to either app-based CDSS (DECIDE-COAG) or control groups. Participants were tasked with prescribing or planning the management of 15 clinical vignettes covering four domains: anticoagulant dosing, perioperative management, management of anticoagulant associated bleeding and diagnosis of VTE. The primary outcome was the mean percentage of accuracy score.

RESULTS

From September 2023 through November 2023, a total of 126 participants were enrolled. The mean percentage of accuracy score was significantly higher (95.6%) in participants using app-based CDSS compared with those in control group (41.3%), a mean difference of 54.5%, 95% CI 49.8-59.2, p < 0.001. The satisfaction mean score was 4.57 ± 0.49 for accessibility, 4.73 ± 0.45 for app stability, 4.94 ± 0.25 for user interface, 4.78 ± 0.42 for simplicity, 4.98 ± 0.13 for assistance in decision-making and 4.90 ± 0.30 for overall satisfaction.

CONCLUSIONS

App-based CDSS (DECIDE-COAG) demonstrates a significant improvement in the accuracy of anticoagulant prescriptions and VTE management. Further studies that specifically investigate the clinical benefits of app-based CDSS in real-world clinical practice are warranted.

CLINICAL TRIAL NUMBER

TCTR20241117004.

摘要

引言

抗凝药物的处方和管理是静脉血栓栓塞症(VTE)管理的关键步骤。临床决策支持系统(CDSS)旨在帮助医疗保健专业人员做出明智的决策。

目的

开发并评估基于移动应用程序的CDSS在VTE管理中的疗效。

方法

进行了一项随机对照试验,招募年龄≥20岁的参与者,他们属于以下类别之一:医学生、实习生、内科住院医师或血液学研究员。参与者被随机分配到基于应用程序的CDSS(DECIDE-COAG)组或对照组。参与者的任务是为15个临床病例制定处方或管理计划,这些病例涵盖四个领域:抗凝药物剂量、围手术期管理、抗凝相关出血的管理以及VTE的诊断。主要结局是准确性评分的平均百分比。

结果

从2023年9月至2023年11月,共招募了126名参与者。使用基于应用程序的CDSS的参与者的准确性评分平均百分比(95.6%)显著高于对照组(41.3%),平均差异为54.5%,95%置信区间为49.8-59.2,p<0.001。可及性的满意度平均评分为4.57±0.49,应用程序稳定性为4.73±0.45,用户界面为4.94±0.25,简单性为4.78±0.42,决策辅助为4.98±0.13,总体满意度为4.90±0.30。

结论

基于应用程序的CDSS(DECIDE-COAG)在抗凝处方和VTE管理的准确性方面有显著提高。有必要进行进一步的研究,专门调查基于应用程序的CDSS在实际临床实践中的临床益处。

临床试验编号

TCTR20241117004。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd79/11956210/9bcec2d5110d/12909_2025_7014_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd79/11956210/a89986f0c8b7/12909_2025_7014_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd79/11956210/34b0a234fc42/12909_2025_7014_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd79/11956210/dddff2f4ee49/12909_2025_7014_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd79/11956210/81dd43b18387/12909_2025_7014_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd79/11956210/b6144f8ee9b2/12909_2025_7014_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd79/11956210/9bcec2d5110d/12909_2025_7014_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd79/11956210/a89986f0c8b7/12909_2025_7014_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd79/11956210/34b0a234fc42/12909_2025_7014_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd79/11956210/dddff2f4ee49/12909_2025_7014_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd79/11956210/81dd43b18387/12909_2025_7014_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd79/11956210/b6144f8ee9b2/12909_2025_7014_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd79/11956210/9bcec2d5110d/12909_2025_7014_Fig6_HTML.jpg

相似文献

1
Randomized controlled trial evaluating the benefit of the app-based clinical decision support system for the management of venous thromboembolism.评估基于应用程序的临床决策支持系统对静脉血栓栓塞管理益处的随机对照试验。
BMC Med Educ. 2025 Mar 30;25(1):460. doi: 10.1186/s12909-025-07014-z.
2
Effect of an interactive, educational app about venous thromboembolism and anticoagulation on patient satisfaction: A randomized controlled trial.互动式教育应用程序对静脉血栓栓塞症和抗凝治疗患者满意度的影响:一项随机对照试验。
Thromb Res. 2022 Jan;209:86-93. doi: 10.1016/j.thromres.2021.11.028. Epub 2021 Dec 7.
3
Decision support systems in clinical practice: The case of venous thromboembolism prevention.临床实践中的决策支持系统:以静脉血栓栓塞预防为例。
Int J Risk Saf Med. 2015;27 Suppl 1:S104-5. doi: 10.3233/JRS-150709.
4
Decision-support tools via mobile devices to improve quality of care in primary healthcare settings.移动设备决策支持工具改善基层医疗服务质量。
Cochrane Database Syst Rev. 2021 Jul 27;7(7):CD012944. doi: 10.1002/14651858.CD012944.pub2.
5
Design and Evaluation of ACAFiB-APP, a clinical decision support system for anticoagulant considerations in patients with atrial fibrillation.ACAFiB-APP的设计与评估,一种用于心房颤动患者抗凝治疗考量的临床决策支持系统。
BMC Cardiovasc Disord. 2025 Mar 8;25(1):166. doi: 10.1186/s12872-025-04615-w.
6
Effectiveness of an artificial intelligence clinical assistant decision support system to improve the incidence of hospital-associated venous thromboembolism: a prospective, randomised controlled study.人工智能临床辅助决策支持系统对提高医院相关性静脉血栓栓塞症发生率的有效性:一项前瞻性、随机对照研究。
BMJ Open Qual. 2023 Oct;12(4). doi: 10.1136/bmjoq-2023-002267.
7
Patient satisfaction after conversion from warfarin to direct oral anticoagulants for patients on extended duration of anticoagulation for venous thromboembolism - The SWAN Study.静脉血栓栓塞症抗凝延长治疗患者换用直接口服抗凝剂后对患者满意度的影响:SWAN 研究。
PLoS One. 2020 Jun 4;15(6):e0234048. doi: 10.1371/journal.pone.0234048. eCollection 2020.
8
The effects of computerised decision support systems on nursing and allied health professional performance and patient outcomes: a systematic review and user contextualisation.计算机化决策支持系统对护理及相关健康专业人员绩效和患者结局的影响:一项系统综述与用户情境化分析
Health Soc Care Deliv Res. 2024 Oct;12(40):1-93. doi: 10.3310/GRNM5147.
9
Clinical decision support systems to improve utilization of thromboprophylaxis: a review of the literature and experience with implementation of a computerized physician order entry program.改善血栓预防措施使用情况的临床决策支持系统:文献综述及计算机化医师医嘱录入程序的实施经验
Hosp Pract (1995). 2012 Aug;40(3):27-39. doi: 10.3810/hp.2012.08.987.
10
Impact of anticoagulant choice on hospitalized bleeding risk when treating cancer-associated venous thromboembolism.癌症相关静脉血栓栓塞症抗凝治疗时抗凝药物选择对住院出血风险的影响。
J Thromb Haemost. 2018 Dec;16(12):2403-2412. doi: 10.1111/jth.14303. Epub 2018 Oct 24.

本文引用的文献

1
Effectiveness of an artificial intelligence clinical assistant decision support system to improve the incidence of hospital-associated venous thromboembolism: a prospective, randomised controlled study.人工智能临床辅助决策支持系统对提高医院相关性静脉血栓栓塞症发生率的有效性:一项前瞻性、随机对照研究。
BMJ Open Qual. 2023 Oct;12(4). doi: 10.1136/bmjoq-2023-002267.
2
Using a Clinical Decision Support System to Improve Anticoagulation in Patients with Nonvalve Atrial Fibrillation in China's Primary Care Settings: A Feasibility Study.在中国基层医疗环境中使用临床决策支持系统改善非瓣膜性心房颤动患者的抗凝治疗:一项可行性研究。
Int J Clin Pract. 2023 Jan 18;2023:2136922. doi: 10.1155/2023/2136922. eCollection 2023.
3
Incidence of prescription errors in patients discharged from the emergency department.
急诊科出院患者的处方错误发生率。
Am J Emerg Med. 2021 Aug;46:266-270. doi: 10.1016/j.ajem.2020.07.061. Epub 2020 Jul 25.
4
American Society of Hematology 2020 guidelines for management of venous thromboembolism: treatment of deep vein thrombosis and pulmonary embolism.美国血液学会2020年静脉血栓栓塞管理指南:深静脉血栓形成和肺栓塞的治疗
Blood Adv. 2020 Oct 13;4(19):4693-4738. doi: 10.1182/bloodadvances.2020001830.
5
Mortality in Patients With Atrial Fibrillation Receiving Nonrecommended Doses of Direct Oral Anticoagulants.非推荐剂量直接口服抗凝剂治疗的心房颤动患者的死亡率。
J Am Coll Cardiol. 2020 Sep 22;76(12):1425-1436. doi: 10.1016/j.jacc.2020.07.045.
6
Do computerized clinical decision support systems improve the prescribing of oral anticoagulants? A systematic review.计算机化临床决策支持系统能否改善口服抗凝药物的处方?系统评价。
Thromb Res. 2020 Mar;187:79-87. doi: 10.1016/j.thromres.2019.12.023. Epub 2020 Jan 7.
7
American Society of Hematology 2018 guidelines for management of venous thromboembolism: venous thromboembolism in the context of pregnancy.美国血液学会 2018 年静脉血栓栓塞症管理指南:妊娠相关静脉血栓栓塞症。
Blood Adv. 2018 Nov 27;2(22):3317-3359. doi: 10.1182/bloodadvances.2018024802.
8
American Society of Hematology 2018 guidelines for management of venous thromboembolism: optimal management of anticoagulation therapy.美国血液学会 2018 年静脉血栓栓塞症管理指南:抗凝治疗的最佳管理。
Blood Adv. 2018 Nov 27;2(22):3257-3291. doi: 10.1182/bloodadvances.2018024893.
9
American Society of Hematology 2018 guidelines for management of venous thromboembolism: diagnosis of venous thromboembolism.美国血液学会 2018 年静脉血栓栓塞症管理指南:静脉血栓栓塞症的诊断。
Blood Adv. 2018 Nov 27;2(22):3226-3256. doi: 10.1182/bloodadvances.2018024828.
10
CDSS-RM: a clinical decision support system reference model.CDSS-RM:临床决策支持系统参考模型。
BMC Med Res Methodol. 2018 Nov 16;18(1):137. doi: 10.1186/s12874-018-0587-6.