[Implementation and evaluation of a solution for automated documentation of the doctor-patient dialogue (ADAPI) in ophthalmology using the example of the IVI routine].

Clemens N Rudolph, Philip Wakili, Annekatrin Rickmann, Kai Januschowski, Patrick McCrae, Kilian Foth, Marco Petris, Annika Schilk, Stephan Kiefer, Kerstin Rohm, Suhail Ahamed, Gabriele Weiler, Matthias Stennes, André Trouvain, Peter Szurman, Karl T Boden
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Abstract

Background: The increasing bureaucratic burden in everyday clinical practice impairs doctor-patient communication (DPC). Effective use of digital technologies, such as automated semantic speech recognition (ASR) with automated extraction of diagnostically relevant information can provide a solution.

Objective: The aim was to determine the extent to which ASR in conjunction with semantic information extraction for automated documentation of the doctor-patient dialogue (ADAPI) can be integrated into everyday clinical practice using the IVI routine as an example and whether patient care can be improved through process optimization.

Methods: In a prospective monocentric study at the Sulzbach Eye Clinic, 50 patients were included in the period from 2020 to 2022. As part of a project funded by the "Zentrale Initiative des Mittelstandes" (ZIM), a demonstrator was developed with the consortium partners and integrated into the hospital information system (HIS). For qualitative and quantitative evaluation, a survey of patients was carried out using a questionnaire before and after implementation of the ADAPI module, supplemented by a determination of acceptance and possible time saving for users.

Results: The ADAPI module was successfully integrated into the HIS. The documentation of the findings and connection of the subsequent processes could be automated. An improvement in the DPC was reported for 13/50 patients (26%). The majority 35/50 (70%) did not notice any subjective change. The average duration of the conversation in the area of conventional documentation was 4.46 min (1-10 min) and 3.9 min with ADAPI (1-10 min).

Conclusion: With respect to the quality of the conversation within the DPC, no relevant differences could be shown with both types of documentation; however, larger case numbers and other areas of application still need to be evaluated. In the long term, the use of automated documentation solutions will sustainably improve the efficiency, completeness and consistency of clinical documentation.

[以IVI例程为例,对眼科医患对话(ADAPI)自动记录解决方案的实施和评估]。
背景:日常临床实践中日益增加的官僚负担损害了医患沟通。有效利用数字技术,如自动语义语音识别(ASR)与自动提取诊断相关信息可以提供一个解决方案。目的:以IVI常规为例,目的是确定ASR结合语义信息提取用于医患对话自动记录(ADAPI)的程度,以及通过流程优化是否可以改善患者护理。方法:在Sulzbach眼科诊所进行的一项前瞻性单中心研究中,纳入了2020年至2022年期间的50例患者。作为“中小型企业中心倡议” (ZIM)资助的一个项目的一部分,与联盟伙伴一起开发了一个演示器,并将其集成到医院信息系统(HIS)中。为了进行定性和定量评价,在实施ADAPI模块之前和之后使用问卷对患者进行了调查,并确定了用户的接受程度和可能节省的时间。结果:ADAPI模块成功集成到HIS中。发现的文档和后续过程的连接可以自动化。50例患者中有13例(26%)的DPC得到改善。大多数35/50(70%)没有注意到任何主观变化。在常规文档中,会话的平均持续时间为4.46 min(1-10 min),在ADAPI中为3.9 min(1-10 min)。结论:关于DPC内对话的质量,两种类型的文件没有相关差异;然而,更大的病例数和其他应用领域仍然需要评估。从长远来看,自动化文档解决方案的使用将持续提高临床文档的效率、完整性和一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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