研究动态
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前列腺癌护理中的临床决策 - EAU 指南使用和新型决策支持软件的评估。

Clinical decision making in prostate cancer care-evaluation of EAU-guidelines use and novel decision support software.

发表日期:2024 Aug 18
作者: C Engesser, M Henkel, V Alargkof, S Fassbind, J Studer, J Engesser, M Walter, A Elyan, S Dugas, P Trotsenko, S Sutter, C Eckert, S Hofmann, A Stalder, H Seifert, P Cornford, B Stieltjes, C Wetterauer
来源: Best Pract Res Cl Ob

摘要:

跟上前列腺癌的最新临床进展可能具有挑战性。我们研究了指南使用对治疗决策质量的影响,以及一种新型的、CE 认证的临床决策支持工具(西门子 AIPC 软件)对临床医生在多中心环境中用于决策的时间的影响。十位泌尿科医生在三种环境下评估了十个临床病例(筛查和局限性前列腺癌):没有支持、使用数字版 EAU 指南以及使用 AIPC 工具,从而做出了 300 项临床决策。比较涉及花费的时间、决策的正确性和完整性。与数字指南相比,使用 AIPC 可以显着减少每个病例的时间支出(3.57 分钟和 0:14 分钟,p < 0.01)以及每位泌尿科医生的总时间(39.45 分钟和 02:20 分钟,p < 0.01)。没有指南支持的决策选项、在线指南的使用和 AIPC 的使用分别完成了 61%、80% 和 100% (p<0.01)。在没有指南支持的情况下做出决策,在线指南的使用和 AIPC 的使用包括所有选项在内的正确率分别为 28%、66% 和 100% (p< 0.01)。临床决策支持系统有可能减少决策时间并提高决策效率。提高决策质量。© 2024。作者。
Keeping up to date with the latest clinical advances in prostate cancer can be challenging. We investigated the impact of guideline use on quality of treatment decisions as well as the impact of a novel, CE-certified clinical decision support tool (Siemens AIPC software) on the amount of time clinicians spend on decision-making in a multicenter setting. Ten urologists assessed ten clinical cases (screening and localized prostate cancer) in three settings: without support, using a digital version of the EAU guidelines, and with the AIPC tool, resulting in 300 clinical decisions. Comparison involved time spent, decision correct- and completeness. Using AIPC compared to digital guidelines led to a significant reduction of expenditure of time at a per case level (3.57 min and 0:14 min, p < 0.01) and for overall time per urologist (39.45 min and 02:20 min, p < 0.01). Decision options without guidelines support, online guideline usage and usage of AIPC were complete in 61%, 80% and 100%, respectively (p < 0.01). Decision making without guidelines support, online guideline usage and usage of AIPC was correct including all options in 28%, 66% and 100%, respectively (p < 0.01).Clinical decision support systems have the potential to reduces decision-making time and to enhance decision quality.© 2024. The Author(s).