PMID- 24893184 OWN - NLM STAT- MEDLINE DCOM- 20140729 LR - 20140604 IS - 1945-6123 (Print) IS - 1945-6131 (Linking) VI - 41 IP - 1 DP - 2014 Spring TI - An informatics-enabled approach for detection of new tumor registry cases. PG - 19-23 AB - Tumor registries are held to a very high standard for identifying and reporting new analytic cancer cases. However, current approaches to new case detection are often inefficient and costly. Efficient and effective detection of new cancer cases has the potential to maintain a high accuracy of reporting while reducing costs, increasing timeliness of reporting, and ultimately advancing cancer research. We describe the development, implementation, and evaluation of an informatics tool that integrates multiple data sources to support the workflow of new case identification at the Vanderbilt University Medical Center (VUMC) tumor registry office. The new system reduced the total number of potential cases to analyze from roughly 13,000 to 2,500 records per month. This resulted in an efficiency gain of roughly 80 man hours per month with a respective annual savings of approximately 50,000 dollars. Further iterative refinement of this approach along with support for case abstraction could result in further efficiencies. FAU - Naser, Riyad AU - Naser R FAU - Roberts, Judith AU - Roberts J FAU - Salter, Todd AU - Salter T FAU - Warner, Jeremy L AU - Warner JL FAU - Levy, Mia AU - Levy M LA - eng PT - Journal Article PL - United States TA - J Registry Manag JT - Journal of registry management JID - 9804163 SB - IM MH - Algorithms MH - Humans MH - Incidence MH - *Medical Informatics Applications MH - Neoplasms/*epidemiology MH - Population Surveillance/*methods MH - *Registries MH - Tennessee MH - Workflow EDAT- 2014/06/04 06:00 MHDA- 2014/07/30 06:00 CRDT- 2014/06/04 06:00 PHST- 2014/06/04 06:00 [entrez] PHST- 2014/06/04 06:00 [pubmed] PHST- 2014/07/30 06:00 [medline] PST - ppublish SO - J Registry Manag. 2014 Spring;41(1):19-23.