临床传染病咨询的可能质量指标 - 混合德尔菲名义组方法和场景研究研究结果
Daniel Hornuss1, Philipp Mathé1, Roland Giesen1
1Division of Infectious Diseases, Department of Medicine II, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
概括
这项研究开发了25个传染病咨询 (IDC) 质量指标,以标准化护理和改善结果. 这些指标侧重于彻底的患者评估和文档,并有可能整合人工智能.
科学领域:
- 传染性疾病 传染性疾病
- 改善医疗保健质量 改善医疗保健质量
- 医疗信息学 医疗信息学
背景情况:
- 传染病咨询 (IDC) 服务改善了患者的治疗结果,特别是在复杂的感染中.
- 目前执行,报告和沟通IDC的做法缺乏标准化,影响有效性.
- 需要有结构的指导来优化IDC服务.
研究的目的:
- 建立有关传染病咨询 (IDC) 活动和报告的质量指标 (QI) 的专家共识.
- 为IDC的绩效和文档提供结构化的指导.
- 探索自动化和人工智能的潜力,以支持IDC.
主要方法:
- 进行了一次系统的文献审查,但没有取得任何相关发现.
- 根据临床经验和专家的共识,提出了30个潜在的QA.
- 一项涉及传染病专家和临床微生物学家的两轮Delphi调查被用来评估QI.
主要成果:
- 在四个领域的25个智商方面达成了共识:病史/风险因素,病床评估,建议和报告.
- 鉴定中心的时间估计范围从35分钟 (简单病例) 到55分钟 (复杂病例).
- 大约50%的IDC程序被确定为自动化和AI支持的潜在候选人.
结论:
- 拟议的质量指标旨在标准化IDC评估,提高服务效率,并使国际基准测试成为可能.
- 需要进一步的研究来验证这些QA在各种临床环境中.
- 建议探索将AI整合到IDC的临床工作流程中.
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