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[以IVI常规为例,对眼科医患对话自动文档记录解决方案(ADAPI)的实施与评估]

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

作者信息

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

机构信息

Augenklinik Sulzbach, Knappschaftsklinikum Saar, An der Klinik 10, 66280, Sulzbach/Saar, Deutschland.

Lang.Tec, Hamburg, Deutschland.

出版信息

Ophthalmologie. 2025 Mar;122(3):210-217. doi: 10.1007/s00347-024-02165-8. Epub 2025 Jan 15.

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.

摘要

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(DPC)。有效利用数字技术,如具有自动提取诊断相关信息功能的自动语义语音识别(ASR),可以提供一种解决方案。

目的

旨在确定以IVI常规为例,将ASR与语义信息提取相结合用于医患对话自动记录(ADAPI)在日常临床实践中的整合程度,以及能否通过流程优化改善患者护理。

方法

在苏尔茨巴赫眼科诊所进行的一项前瞻性单中心研究中,2020年至2022年期间纳入了50名患者。作为由“中央中小企业倡议”(ZIM)资助的一个项目的一部分,与联盟伙伴共同开发了一个演示器,并将其集成到医院信息系统(HIS)中。为了进行定性和定量评估,在ADAPI模块实施前后使用问卷对患者进行了调查,并补充了对用户接受度和可能节省时间的测定。

结果

ADAPI模块成功集成到HIS中。检查结果的记录和后续流程的连接可以实现自动化。13/50名患者(26%)报告称医患沟通有所改善。大多数35/50(70%)患者未察觉到任何主观变化。传统记录方式下对话的平均时长为4.46分钟(1 - 10分钟),使用ADAPI时为3.9分钟(1 - 10分钟)。

结论

就医患沟通中的对话质量而言,两种记录方式均未显示出相关差异;然而,仍需要评估更大的病例数和其他应用领域。从长远来看,使用自动记录解决方案将可持续提高临床记录的效率、完整性和一致性。

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