基于知识的临床决策支持系统的应用,以加强在慢性疾病中遵守基于证据的医学
Marsa Gholamzadeh1,2, Hamidreza Abtahi3, Reza Safdari4
1Medical Informatics, Health Information Management and Medical Informatics Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Journal of healthcare engineering
|June 7, 2023
概括
临床决策支持系统 (CDSS) 通过改善诊断,坚持以证据为基础的医学和减少医疗错误来增强慢性疾病管理. 需要进一步的研究来规范CDSS开发,以便更好地进行临床整合.
科学领域:
- 医疗信息学 医疗信息学
- 医疗技术 医疗技术 医学技术
- 基于证据的医学基于证据的医学.
背景情况:
- 临床决策支持系统 (CDSS) 是基于技术的解决方案,旨在帮助临床医生管理复杂的医疗信息.
- 慢性疾病需要持续监测和基于证据的管理,使得CDSS成为一个有前途的工具.
研究的目的:
- 调查CDSS在慢性疾病管理的应用性和特征.
- 综合当前关于CDSS如何使用及其在慢性护理中的特点的证据.
主要方法:
- 从2000年1月到2023年2月,使用主要数据库 (科学网,Scopus,OVID,PubMed) 进行了系统的文献审查.
- 研究根据PRISMA指南进行了选,并使用混合方法评估工具 (MMAT) 评估了质量.
- 分析重点是慢性病护理中CDSS的方法,特征和知识翻译方法.
主要成果:
- 来自16个国家的38篇文章符合纳入标准,突出了CDSS在基于证据的医学遵守 (84.2%),诊断 (81.6%) 和护理标准化 (71.1%) 的应用.
- 常见的CDSS特征包括医生指导 (92.11%),患者具体建议 (84.21%),EMR整合 (60.53%) 和警报/提醒 (60.53%).
- 基于规则的逻辑 (34.21%) 和决策树建模 (26.32%) 是普遍存在的知识翻译技术.
结论:
- 通过加强诊断,遵守指导方针和减少错误,CDSS在改善慢性疾病管理方面具有显著的潜力.
- 在CDSS开发中采用了多种不同的方法,这表明对基于知识的系统需要一个标准化的框架.
- 建议计算机专家进一步开发标准化框架,以优化CDSS在临床实践中的整合和有效性.
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