{"id":538,"date":"2019-07-24T15:27:25","date_gmt":"2019-07-24T15:27:25","guid":{"rendered":"http:\/\/phs.uthscsa.edu\/?page_id=538"},"modified":"2022-12-13T14:42:22","modified_gmt":"2022-12-13T20:42:22","slug":"clinical-informatics-research","status":"publish","type":"page","link":"https:\/\/lsom.uthscsa.edu\/phs\/our-expertise\/clinical-informatics-research\/","title":{"rendered":"Clinical Research Informatics"},"content":{"rendered":"

[vc_row][vc_column width=”2\/3″][vc_column_text]The Clinical Research Informatics Division in the Department of Population Health Sciences is focused on using programming, research data management, and informatics to leverage data to support the design, feasibility, implementation, conduct, and reporting of clinical studies.<\/p>\n

We focus on planning for Data Management and Sharing, including the processes and procedures that are needed to collect, manage, secure, protect, and share data, and writing the applications that can do so.\u00a0 We also provide self-service applications (e.g., REDCap<\/a> for secure data capture, TriNetX<\/a> for self-service aggregate count warehouse queries) that investigators and research teams may use at no cost.<\/p>\n

Our Expertise<\/h2>\n

The Clinical Research Informatics Division has expertise in research data management systems, data management and security consulting, and learning management and content development.<\/p>\n

Part of our team manages the Clinical Data Warehouse and specializes in working with large amounts of clinical data and writing queries to pull the relevant information for clinical studies.<\/p>\n

Our technical team is made up of expert programmers, system administrators, and data administrators who write custom software that can meet your specific research needs.<\/p>\n

Our informaticists serve as liaisons between investigators and research teams and our technical staff. Their clinical training and research expertise facilitates their partnering with the investigators to determine their data and information systems needs and methods.\u00a0 Our informaticists also work with investigators to draft data management and sharing plans<\/a> to document and operationalize these decisions.<\/p>\n

How to Collaborate with Us<\/h3>\n

The Clinical Research Informatics Division works with faculty from every school and almost every department at UT Health San Antonio.<\/p>\n

To contact the Clinical Research Informatics Division for collaboration on a research project, you can contact one of the following team members directly:<\/p>\n

\u2022 Meredith Zozus<\/a>, PhD, CCDM \u2013 Division Chief<\/p>\n

\u2022 Bill Sanns<\/a> \u2013 Technical Director<\/p>\n

\u2022 Helen L. Foster<\/a>, MSN, RN \u2013 Clinical Research Informatics Specialist<\/p>\n

\u2022 Muayad Maallah<\/a>, MD \u2013 Clinical Research Informatics Specialist<\/p>\n

\u2022 Manju Bikkanuri<\/a>, MD, MPH \u2013 Clinical Research Informatics Specialist<\/p>\n

\u2022 Cynthia Ortiz<\/a> \u2013 Senior Resource and Operations Manager<\/p>\n

\u2022 Jacklyn Robles<\/a> \u2013 Program Coordinator, Pre\/Post Award Manager<\/p>\n

Or you may send an email to:<\/p>\n

ideas@uthscsa.edu<\/a>: Research Information Systems and Programming<\/p>\n

Informatics@uthscsa.edu<\/a>: Data Warehouse and Data Management<\/p>\n

redcap@uthscsa.edu:\u00a0 For questions and issues with REDCap[\/vc_column_text][\/vc_column][vc_column width=”1\/3″] \n \n <\/i><\/span><\/span>
\n

Resources<\/h3>\n

<\/p>\n <\/a> \n \n <\/i><\/span><\/span>
\n

Collaboration Guidelines and Policies<\/h3>\n

<\/p>\n <\/a> \n \n <\/i><\/span><\/span>
\n

Contact Us<\/h3>\n

<\/p>\n <\/a>[\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column width=”2\/3″][vc_column_text]The Clinical Research Informatics Division in the Department of Population Health Sciences is focused on using programming, research data management, and informatics to leverage data to support the design, feasibility, implementation, conduct, and reporting of clinical studies. We focus on planning for Data Management and Sharing, including the processes and procedures that are needed […]<\/p>\n","protected":false},"author":240,"featured_media":0,"parent":515,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/child-page.php","meta":{"footnotes":""},"class_list":["post-538","page","type-page","status-publish","hentry"],"yoast_head":"\nCIRD | Population Health Sciences | UT Health San Antonio<\/title>\n<meta name=\"description\" content=\"The Clinical Informatics Research Division (CIRD) is a research and academic division dedicated to improving health care by bridging biomedical, statistical, and computational domains.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lsom.uthscsa.edu\/phs\/our-expertise\/clinical-informatics-research\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta 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