- Browse by Subject
Browsing by Subject "Indiana Network for Patient Care"
Now showing 1 - 4 of 4
Results Per Page
Sort Options
Item A comparison of geocoding baselayers for electronic medical record data analysis(2014-01-16) Severns, Christopher Ray; Wilson, Jeffrey S. (Jeffrey Scott), 1967-; Johnson, Daniel P. (Daniel Patrick), 1971-; Martin, Pamela A.Identifying spatial and temporal patterns of disease occurrence by mapping the residential locations of affected people can provide information that informs response by public health practitioners and improves understanding in epidemiological research. A common method of locating patients at the individual level is geocoding residential addresses stored in electronic medical records (EMRs) using address matching procedures in a geographic information system (GIS). While the process of geocoding is becoming more common in public health studies, few researchers take the time to examine the effects of using different address databases on match rate and positional accuracy of the geocoded results. This research examined and compared accuracy and match rate resulting from four commonly-used geocoding databases applied to sample of 59,341 subjects residing in and around Marion County/ Indianapolis, IN. The results are intended to inform researchers on the benefits and downsides to their selection of a database to geocode patient addresses in EMRs.Item Indianapolis Emergency Medical Service and the Indiana Network for Patient Care: Evaluating the Patient Match Process(2014-01-03) Park, Seong Cheol; Finnell, John T.; Jones, Josette F.; Kharrazi, HadiIn 2009, Indianapolis Emergency Medical Service (I-EMS, formerly Wishard Ambulance Service) launched an electronic medical record system within their ambulances and started to exchange patient data with the Indiana Network for Patient Care (INPC). This unique system allows EMS personnel in an ambulance to get important medical information prior to the patient’s arrival to the accepting hospital from incident scene. In this retrospective cohort study, we found EMS personnel made 3,021 patient data requests (14%) of 21,215 EMS transports during a one-year period, with a “success” match rate of 46%, and a match “failure” rate of 17%. The three major factors for causing match “failure” were (1) ZIP code 55%, (2) Patient Name 22%, and (3) Birth Date 12%. This study shows that the ZIP code is not a robust identifier in the patient identification process and Non-ZIP code identifiers may be a better choice due to inaccuracies and changes of the ZIP code in a patient’s record.Item Spatial Integration of Community Data with Clinical Data in Support of Community Health Research and Practice(Office of the Vice Chancellor for Research, 2011-04-08) Frederickson Comer, Karen; Wiehe, Sarah E.; Wilson, Jeffrey S.; Dixon, Brian E.; Grannis, ShaunThis poster will describe the recent integration of one of the nation’s largest health information exchanges, the Indiana Network for Patient Care developed by the Regenstrief Institute, with one of the nation’s most comprehensive community information system, the SAVI CIS developed by The Polis Center at IUPUI. Integrating community data that quantifies the social and physical environment with clinical data has great potential for supporting and advancing community health research and practice. Multi-sector collaboration on the development and evaluation of associated uses cases informed system integration is allowing spatially-aware research and practice to be more quickly realized.Item VA-INPC: Linking Department of Veterans Affairs (VA) and Indiana Network for Patient Care (INPC) data to assess surveillance testing among veterans with colorectal cancer(2010-11) Haggstrom, David A.; Rosenman, Marc; Myers, Laura J.; Teal, Evgenia; Doebbeling, Bradley N.The goal of this project was to provide empiric evidence about the benefit to US veterans and the VA of capturing data from a citywide clinical informatics network (INPC) to assess care received outside the VA. We identified 468 veterans diagnosed with colorectal cancer from 2000–2007 in the Indianapolis VA cancer registry. Electronic VA healthcare data were linked with electronic health records from the regional health information organization (RHIO) INPC; 341 matches were found. Both the VA and INPC systems were queried regarding receipt of surveillance tests. The proportion with additional data from INPC varied by test: colonoscopy (3%), CT scan/abdomen (13%), CT scan/chest (79%), carcinoembryonic antigen test (8%), and other laboratory tests (25%–53%). An incremental benefit of linking VA and INPC data was present and may increase when expanded beyond patients with a single condition. New, important information about care outside the VA is obtained through RHIO data linkage.