PPT-Data Management: Source Documents, Case Report Forms and Electronic Data

Thomas Salerno RN BSN MA Senior Team Lead Cardiology Research Jefferson Clinical Research Institute thomassalernojeffersonedu Learning Objectives Distinguish between the Regulatory Binder and the Subject Binder. David Meadows, PMP, Managing Director – Discovery Consulting, Kroll Ontrack. Dave Canfield, EJD, Managing Consultant – Discovery Consulting, Kroll Ontrack. 2. David W. Meadows, PMP. Managing Director – Discovery Consulting, Kroll . Anand Mudambi. . USEPA. National Environmental Monitoring Conference 2011 . August 16, 2011. 08/16/2011. 1. Data Management Issues. Multiple databases, processes, procedures, and methods for the same information. Quality Improvement Officer. Research Integrity Office . Preparing for Success: . Protocol Start-Up. Most Common Findings. Consent Form Issues. Wrong versions used to consent. Unstamped versions of form used to consent. UPOV CAJ. Geneva, 17 October 2011. Jean Maison. 1. 2. Introduction. How to access?. The application form and the technical questionnaire. Statistics about the use of the system. Sharing the System with National Authorities. LADRIVING. October 27, 2015. WHAT IS LADRIVING?. Louisiana . Drunk Driving Data . Management (. LADRIVING) . is . an automated DWI Processing System . that streamlines . the manner in which DWI arrests are recorded in the state of Louisiana. The existing process for documenting DWI arrests is paper-based, inefficient and costly for law enforcement and other criminal justice entities. The LADRIVING . Sherry Gordon, Office of the Attorney General. This presentation is my personal opinion and not necessarily that of the Attorney General or the Office of the Attorney General.. Risk . Identify. . Risk Tolerance . in North Carolina. 2015. HIV/STD Surveillance Unit. Communicable Disease Branch. North Carolina Division of Public Health. August 2016. Chlamydia . Cases by Gender. North Carolina, . 2006-2015. HIV/STD Surveillance Unit. Dr.. Avin Mathew. Technical . Director. MIMOSA. Today’s Problems. 2. Fragile custom integration. Expensive capital and sustainment costs. Limited flexibility. Constrained innovation. Trapped data. INSTRUCTOR GUIDE. 1. TOPIC PAGE. I. WHAT IS iPERMS? 3. ACCESSING iPERMS. . 5. iPERMS INPUT ROLES 12. Scan Operator 13. Index/Validation Operator 39. Verifier 63. Quality Control Operator 72. Field Operator 77. Electronic Records Management. Session 5 of 7 on records management. Session Guidelines . and general information. Presenter(s). Karen . Gray. Records Analyst. (Records Retention Schedules and Imaging – State Agencies. eTRIM. ). eTRIM System . Department of Revenue’s Internet-based system for completing and submitting:. Truth in Millage . Maximum Millage documents. eTRIM History . Launched in 2010. 12 property appraisers piloted. bit.ly/nercomp_defendingyourdata16. Agenda. 9:00 -9:15 Agenda and Introductions. 9:15 to 9:45        2016 Threat Landscape, Patty Patria. 9:45 - 10:30       Practical Advice for Finding Threats on Your Network, Tim LaGrant. 1. Leonard Sacks. Office of Medical Policy. CDER. FDA. The Clinical Trial. How did clinical trials escape from the computer age?. Was the problem FDA’s regulations on record keeping . Was it industry’s nervousness to try anything new?. Data Source: VHA Administrative data, USRDS ESRD Database, CMS Medicare Inpatient and Outpatient data. Statesand territories of the United States of America Figure 8.1 Distribution of Black incident ESRD veterans (%) among 85,505 incident ESRD veterans across states and territories of the United States, 10/1/2007-3/31/2014