Research ReportsLeveraging Informatics to Identify Reportable Cases: Pilot Findings on Electronic Case Reporting of Chlamydia and GonorrheaMishra, Ninad K. MD, MSHI; Jellison, James B. MPH; Hamilton, Andrew MS, BSN, RN; Carr, Jeremy B. BS; Padilla, Roxane M. BS; Viator, Natalie A. MPHAuthor Information Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Dr Mishra); Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Mr Jellison and Ms Viator); and AllianceChicago, Chicago, Illinois (Messrs Hamilton and Carr and Ms Padilla). Correspondence: Natalie A. Viator, MPH, Task Force for Global Health, Public Health Informatics Institute, 325 Swanton Way, Ste 2000, Decatur, GA 30030 (firstname.lastname@example.org). This pilot project was supported by the Centers for Disease Control and Prevention funding to the Task Force for Global Health under cooperative agreement number U38OT000216-3. The authors thank Michael DeMayo, Hillard Weinstock, Jessica Park, and Elizabeth McKnight for their support and contributions in this pilot project.The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.The authors have indicated they have no potential conflicts of interest to disclose.Supplemental digital content is available for this article. Direct URL citation appears in the printed text and is provided in the HTML and PDF versions of this article on the journal's Web site (http://www.JPHMP.com). Journal of Public Health Management and Practice: November/December 2019 - Volume 25 - Issue 6 - p 595-597 doi: 10.1097/PHH.0000000000000954 Buy SDC Metrics Abstract Consensus-based technical guidance for electronic case reporting (eCR) of sexually transmitted infections was implemented within existing health information technologies to automatically detect chlamydia and gonorrhea cases based on diagnosis and laboratory observation codes and build a case report using industry standards. The process was evaluated using 12 420 ambulatory encounters among adolescents and adults 15 years and older seen at 8 Chicago-area community health centers between May 1 and June 30, 2017. We tabulated the frequency of matches between the case detection logic and patient data and compared the eCR identified cases with paper case reports. This study found that eCR increased provider reporting when compared with paper reporting alone. While additional work across stakeholder groups is needed, these early findings suggest that broadly adopted eCR will decrease both provider and public health burden while improving reporting timeliness and data completion to support case investigation. © 2019 Wolters Kluwer Health, Inc. All rights reserved.