Development of an Automated Endoscopic Retrograde Cholangiopancreatography Quality Report Card Using an Integrated Analytics Suite

IF 1.2 Q4 GASTROENTEROLOGY & HEPATOLOGY Techniques and Innovations in Gastrointestinal Endoscopy Pub Date : 2024-01-01 DOI:10.1016/j.tige.2024.03.007

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Abstract

BACKGROUND AND AIMS

Quality indicators (QIs) are essential for evaluating the safety and effectiveness of endoscopy but are difficult to measure accurately for endoscopic retrograde cholangiopancreatography (ERCP). We developed a fully automated, real-time endoscopy analytics tool using Health Level-7 standards that collects ERCP QIs from an endoscopy reporting system to generate an ERCP quality report card in a third-party analytics suite.

METHODS

ERCP report data were collected between June 2021 and December 2022 from 4 referral centers. Discrete data elements from endoscopy reports generated in the EndoPro reporting platform were imported into the Qlik analytics suite, and QI data were aggregated into a report card. The collected data were manually validated to confirm accuracy.

RESULTS

Pooled data were successfully used to generate a comprehensive institutional ERCP quality report card comprising a total of 2146 ERCPs performed by 12 endoscopists. Manual review confirmed high accuracy (96.5%-100%) of automatic extraction of ERCP QIs from endoscopy reports. Multiple procedural data elements were successfully extracted, including cannulation difficulty, success rate, and administration of post-ERCP pancreatitis prophylaxis for procedures with biliary and pancreatic indication. Generation of the report card required minimal additional work on the part of the performing endoscopist and was updated in real time.

CONCLUSION

We developed an automated ERCP analytics tool that accurately and automatically extracts QI data into a succinct ERCP quality report card without the need for manual data extraction or natural language processing. The use of the Health Level-7 standard provides a framework for the creation of similar tools in other electronic health records. This tool allows for accurate ERCP quality and performance data evaluation at individual and institutional levels.

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利用综合分析套件开发自动内镜逆行胰胆管造影质量报告单

背景和目的质量指标（QIs）对于评估内镜检查的安全性和有效性至关重要，但内镜逆行胰胆管造影术（ERCP）却很难精确测量。我们采用 Health Level-7 标准开发了一款全自动实时内镜分析工具，该工具可从内镜报告系统中收集 ERCP QIs，并在第三方分析套件中生成 ERCP 质量报告卡。将 EndoPro 报告平台生成的内镜报告中的离散数据元素导入 Qlik 分析套件，并将 QI 数据汇总到报告卡中。结果汇集的数据被成功用于生成一份全面的机构ERCP质量报告单，其中包括由12名内镜医师实施的共计2146例ERCP。人工审核证实，从内镜检查报告中自动提取ERCP QIs的准确率很高（96.5%-100%）。成功提取了多个手术数据元素，包括插管难度、成功率，以及对有胆道和胰腺适应症的手术实施ERCP术后胰腺炎预防。结论我们开发了一种自动化 ERCP 分析工具，它能准确、自动地将 QI 数据提取到简洁的 ERCP 质量报告单中，而无需手动提取数据或进行自然语言处理。健康水平-7 标准的使用为在其他电子病历中创建类似工具提供了框架。该工具可在个人和机构层面进行准确的 ERCP 质量和绩效数据评估。

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