Layout 1 ISDS Annual Conference Proceedings 2012. 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 2012 Conference Abstracts Objective To document the current evidence base for the use of electronic health record (EHR) data for syndromic surveillance using emer- gency department, urgent care clinic, hospital inpatient, and ambula- tory clinical care data. Introduction Historically, syndromic surveillance has primarily involved the use of near real-time data sent from hospital emergency department (EDs) and urgent care (UC) clinics to public health agencies. The use of data from inpatient and ambulatory settings is now gaining interest and support throughout the United States, largely as a result of the Stage 2 and 3 Meaningful Use regulations [1]. Questions regarding the feasibility and utility of applying a syndromic approach to these data sources are hampering the development of systems to collect, analyze, and share this potentially valuable information. Solidifying the evidence base and communicating the results to the public health surveillance community may help to initiate and build support for using these data to advance surveillance functions. Methods We conducted a literature search in the published and grey litera- ture that scanned for relevant articles in the Google Scholar, Pub Med, and EBSCO Information Services databases. Search terms included: “inpatient/ambulatory electronic health record”; “ambulatory/inpa- tient/hospital/outpatient/chronic disease syndromic surveillance”; and “EHR syndromic surveillance”. Information gleaned from each arti- cle included data use, data elements extracted, and data quality indi- cators. In addition, several stakeholders who provided input on the September 2012 ISDS Recommendations [2] also provided articles that were incorporated into the literature review. ISDS also invited speakers from existing inpatient and ambulatory syndromic surveillance systems to give webinar presentations on how they are using data from these novel sources. Results The number of public health agencies (PHAs) routinely receiving ambulatory and inpatient syndromic surveillance data is substantially smaller than the number receiving ED and UC data. Some health de- partments, private medical organizations (including HMOs), and re- searchers are conducting syndromic surveillance and related research with health data captured in these clinical settings [2]. In inpatient settings, many of the necessary infrastructure and ana- lytic tools are already in place. Syndromic surveillance with inpatient data has been used for a range of innovative uses, from monitoring trends in myocardial infarction in association with risk factors for car- diovascular disease [3] to tracking changes in incident-related hospi- talizations following the 2011 Joplin, Missouri tornado [3]. In contrast, ambulatory systems face a need for new infrastructure, as well as pose a data volume challenge. The existing systems vary in how they address data volume and what types of encounters they capture. Ambulatory data has been used for a variety of uses, from monitoring gastrointestinal infectious disease [3], to monitoring be- havioral health trends in a population, while protecting personal iden- tities [4]. Conclusions The existing syndromic surveillance systems and substantial re- search in the area indicate an interest in the public health community in using hospital inpatient and ambulatory clinical care data in new and innovative ways. However, before inpatient and ambulatory syn- dromic surveillance systems can be effectively utilized on a large scale, the gaps in knowledge and the barriers to system development must be addressed. Though the potential use cases are well docu- mented, the generalizability to other settings requires additional re- search, workforce development, and investment. Keywords Syndromic surveillance; EHR; Meaningful Use Acknowledgments We thank the ISDS Meaningful Use Workgroup for their assistance with the literature review, and all the presenters in the ISDS Meaningful Use Webinar series (http://www.syndromic.org/webinars/meaningfuluse). Work supported by CDC through ISDS contract with Task Force for Global Health. References 1. Health Information Technology for Economic and Clinical Health (HITECH) Act. Title XIII of Division A and Title IV of Division B of the American Recovery and Reinvestment Act of 2009 2009; Pub. L. No. 111-5. 2. ISDS. Electronic Syndromic Surveillance Using Hospital Inpatient and Ambulatory Clinical Care Electronic Health Record Data: Recom- mendations from the ISDS Meaningful Use Workgroup. 2012. www.syndromic.org 3. Various presenters. ISDS Meaningful Use Webinar Series: 3/1- 3/21/2012. http://www.syndromic.org/webinars/meaningfuluse 4. Pavlin JA, Murdock P, Elbert E, Milliken C, Hakre S. Conducting pop- ulation behavioral health surveillance by using automated diagnostic and pharmacy data systems. MMWR 2004;53 (Supp.):166-172. *Rebecca Zwickl E-mail: bzwickl@syndromic.org Utility of Syndromic Surveillance Using Novel Clinical Data Sources Rebecca Zwickl*, Charles Ishikawa and Laura C. Streichert ISDS, Brighton, MA, USA Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 5(1):e33, 2013