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)
{"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. 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)","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":"50 6","pages":"Pages 449-455"},"PeriodicalIF":2.3000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Joint Commission journal on quality and patient safety","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1553725024000564","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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