Kyle W. Blackburn (is Medical Student, School of Medicine, Baylor College of Medicine, Houston.), Lisa S. Brubaker MD (is General Surgery Resident, Department of Surgery, Baylor College of Medicine.), George Van Buren II MD (is Associate Professor, Department of Surgery, Baylor College of Medicine and Dan L. Duncan Comprehensive Cancer Center, Houston.), Emily Feng (is Clinical Research Coordinator at San Francisco Otolaryngology, Department of Surgery, Baylor College of Medicine.), Sadde Mohamed (is Medical Student, School of Medicine, Yale University.), Uma Ramamurthy PhD MBA (is Associate Professor Department of Pediatrics, Baylor College of Medicine.), Vivek Ramanathan MS (is Software Engineer, Office of Research IT, Baylor College of Medicine.), Amy L. Wood MPH (is Clinical Research Manager, Department of Surgery, Baylor College of Medicine and Dan L. Duncan Comprehensive Cancer Center.), Martha E. Navarro Cagigas MD (is Senior Research Coordinator, Department of Surgery, Baylor College of Medicine and Dan L. Duncan Comprehensive Cancer Center.), William E. Fisher MD (is Professor, Baylor College of Medicine and Dan L. Duncan Comprehensive Cancer Center. Please address correspondence to William E. Fisher)
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Navarro Cagigas MD (is Senior Research Coordinator, Department of Surgery, Baylor College of Medicine and Dan L. Duncan Comprehensive Cancer Center.), William E. Fisher MD (is Professor, Baylor College of Medicine and Dan L. Duncan Comprehensive Cancer Center. Please address correspondence to William E. Fisher)","doi":"10.1016/j.jcjq.2024.02.004","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>The surgical morbidity and mortality (M&M) conference is a vital part of a resident's surgical education, but methods to collect and store M&M data are often rudimentary and unreliable. The authors propose a Health Insurance Portability and Accountability Act (HIPAA)–compliant, electronic health record (EHR)–connected application and database to report and store complication data.</p></div><div><h3>Methods</h3><p>The app is linked to the patient's EHR, and as a result, basic data on each surgical case—including diagnosis, surgery type, and surgeon—are automatically uploaded to the app. In addition, all data are stored in a secure SQL database—with communications between the app and the database end-to-end encrypted for HIPAA compliance. The full surgical team has access to the app, democratizing complications reporting and allowing for reporting in both the inpatient and outpatient settings. This complication information can then be automatically pulled from the app with a premade presentation for the M&M conference. The data can also be accessed by a Power BI dashboard, allowing for easy quality improvement analyses.</p></div><div><h3>Results</h3><p>When implemented, the app improved data collection for the M&M conference while providing a database for institutional quality improvement use. The authors also identified additional utility of the app, including ensuring appropriate revenue capture. The general appearance of the app and the dashboard can be found in the article.</p></div><div><h3>Conclusion</h3><p>The app developed in this project significantly improves on more common methods for M&M conference complication reporting—transforming M&M data into a valuable resource for resident education and quality improvement.</p></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-Time Reporting of Complications in Hospitalized Surgical Patients by Surgical Team Members Using a Smartphone Application\",\"authors\":\"Kyle W. Blackburn (is Medical Student, School of Medicine, Baylor College of Medicine, Houston.), Lisa S. 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The authors propose a Health Insurance Portability and Accountability Act (HIPAA)–compliant, electronic health record (EHR)–connected application and database to report and store complication data.</p></div><div><h3>Methods</h3><p>The app is linked to the patient's EHR, and as a result, basic data on each surgical case—including diagnosis, surgery type, and surgeon—are automatically uploaded to the app. In addition, all data are stored in a secure SQL database—with communications between the app and the database end-to-end encrypted for HIPAA compliance. The full surgical team has access to the app, democratizing complications reporting and allowing for reporting in both the inpatient and outpatient settings. This complication information can then be automatically pulled from the app with a premade presentation for the M&M conference. 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引用次数: 0
摘要
背景外科发病率和死亡率(M&M)会议是住院医师外科教育的重要组成部分,但收集和存储 M&M 数据的方法往往非常简单且不可靠。作者提出了一种符合《健康保险可携性和责任法案》(HIPAA)、与电子病历(EHR)相连的应用程序和数据库,用于报告和存储并发症数据。此外,所有数据都存储在安全的 SQL 数据库中,应用程序与数据库之间的通信经过端到端加密,符合 HIPAA 标准。整个手术团队都可以访问该应用程序,实现了并发症报告的民主化,并允许在住院和门诊环境中进行报告。然后,这些并发症信息可自动从应用程序中提取,并预先制作成演示文稿,用于 M&M 会议。这些数据还可以通过 Power BI 仪表板访问,便于进行质量改进分析。结果该应用程序在实施后,改进了 M&M 会议的数据收集工作,同时为机构质量改进提供了一个数据库。作者还发现了该应用程序的其他效用,包括确保适当的收入获取。本项目开发的应用程序大大改进了医学并发症会议报告的常用方法,将医学并发症数据转化为住院医师教育和质量改进的宝贵资源。
Real-Time Reporting of Complications in Hospitalized Surgical Patients by Surgical Team Members Using a Smartphone Application
Background
The surgical morbidity and mortality (M&M) conference is a vital part of a resident's surgical education, but methods to collect and store M&M data are often rudimentary and unreliable. The authors propose a Health Insurance Portability and Accountability Act (HIPAA)–compliant, electronic health record (EHR)–connected application and database to report and store complication data.
Methods
The app is linked to the patient's EHR, and as a result, basic data on each surgical case—including diagnosis, surgery type, and surgeon—are automatically uploaded to the app. In addition, all data are stored in a secure SQL database—with communications between the app and the database end-to-end encrypted for HIPAA compliance. The full surgical team has access to the app, democratizing complications reporting and allowing for reporting in both the inpatient and outpatient settings. This complication information can then be automatically pulled from the app with a premade presentation for the M&M conference. The data can also be accessed by a Power BI dashboard, allowing for easy quality improvement analyses.
Results
When implemented, the app improved data collection for the M&M conference while providing a database for institutional quality improvement use. The authors also identified additional utility of the app, including ensuring appropriate revenue capture. The general appearance of the app and the dashboard can be found in the article.
Conclusion
The app developed in this project significantly improves on more common methods for M&M conference complication reporting—transforming M&M data into a valuable resource for resident education and quality improvement.