临床决策支持系统的预期:在科医生最终用户中进行的一项调查研究
Fruzsina Kotsis1,2, Helena Bächle1, Michael Altenbuchinger3
1Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.
BMC medical informatics and decision making
|October 26, 2023
概括
德国的科医生表示,目前临床决策支持系统 (CDSS) 的使用有限,但对其在治疗慢性病 (CKD) 的潜力表示高度兴趣. 他们希望使用诸如CKD进展预测等功能来改善患者护理.
科学领域:
- 医疗信息学 医疗信息学
- 腎臟病學 (nephrology) 是一種醫學專業.
- 医疗保健服务研究 医疗服务研究
背景情况:
- 慢性病 (CKD) 带来了重大的公共卫生挑战,需要先进的监测和个性化治疗工具.
- 有效管理CKD需要整合各种数据,包括临床参数,生物标志物和药物信息,与医学专业知识.
- 临床决策支持系统 (CDSS) 为改善脏病患者管理提供了潜在的解决方案,但德国的认识和实施情况尚不清楚.
研究的目的:
- 调查德国科医生目前对CDSS的认识,态度和期望.
- 识别特定的CDSS特征,例如不良事件预测算法,这对日常门诊脏病学实践非常有价值.
主要方法:
- 在54名德国科医生中进行了一项调查,采用38项问卷,通过电话或在线进行.
- 该调查涵盖了CDSS的经验,对有用功能的期望,对不良事件预测算法的评估以及道德考虑.
- 数据采集使用REDCap,并使用Stata SE 15.1和Excel进行分析,采用描述性统计分析.
主要成果:
- 高比例的科医生 (81.2%) 报告目前使用CDSS的情况不佳,主要是由于缺乏认识.
- 尽管目前使用率很低,但79%的参与者认为CDSS可以帮助管理CKD患者,并愿意采用CDSS.
- 最受欢迎的CDSS特征包括预测CKD进展 (97.8%) 和疾病进展的in-silico模拟 (97.7%).
结论:
- 德国科医生显示出大量未满足的需求,并表示愿意将CDSS整合到他们的实践中,以改善CKD管理.
- 预测不良事件,特别是对CKD进展,是CDSS中非常受欢迎的功能.
- 根据科需求量身定制的用户友好的CDSS的进一步研究和开发是有必要的,以弥合潜在和当前利用之间的差距.
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