ISDS Annual Conference Proceedings 2017. This is an Open Access article distributed under the terms of the Creative Commons Attribution- Noncommercial 3.0 Unported License (http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ISDS 2016 Conference Abstracts Wisconsin’s Novel Approach to Creating a Health Outcomes Opioid Surveillance System Milda Aksamitauskas*1, Lisa Bullard-Cawthorne2, Ousmane Diallo1, Crystal Gibson2, Justin Martin1, Richard Miller1, Christine P. Muganda1, Aman Tandias1 and Anne L. Ziege1 1Office of Health Informatics, Wisconsin Division of Public Health, Madison, WI, USA; 2Bureau of Community Health Promotion, Wisconsin Division of Public Health, Madison, WI, USA Objective Wisconsin is leading the way in novel approaches monitoring health outcomes for opioid-related adverse events. This panel will share innovative public health informatics methods that harness various data sources (e.g., Prescription Drug Monitoring Data (PDMP), death, birth and hospitalization data) for population health surveillance. Discussion will include topics on detection of drug abuse and diversion, identifying potential neonatal abstinence syndrome cases, surveillance of substance-related hospitalizations and overdose deaths, and modeling opioid-related mortality risk factors. Figure 1. Health Outcomes Opioids Surveillance System Diagram Figure 2. Ratios of MME and Length of Prescription for Select Groups (2013-2015) Map 1. Filled Opioids Over 90MME, Southeast Region Local Heaht Departments, Wisconsin, 2015. Keywords Prescription Drug Monitoring Program (PDMP); Substance Abuse; Near real-time surveillance; Automation; Data linking References PDMP Center of Excellence [Internet]. Waltham: Brandeis University, PDMP Center of Excellence; c2010-2013 [cited 2016 August 22]. Available from: http:// www.pdmpexcellence.org/. *Milda Aksamitauskas E-mail: milda.aksamitauskas@wi.gov Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 9(1):e53, 2017