EDPCSCSarea Utah hospital emergency department data from UB-92, by Utah Small Areas, 2001-present November 1, 2006 CHD_OHCS config /srv/ibis-q/modules/edpcsc/EDPCSCSarea_CV.cfg sas 0 test 0 _SeriesGroupByDimensionName EDPCSCProxy query/selection/edpcsc/EDPCSCSelection.html Rate Number of treat and release hospital emergency department encounters per 100 persons in the population. #,##0.00 Number of ED Treat and Release Encounters ,##0 Total Number of ED Treat and Release Encounters ,##0 95% Confidence Interval Lower Limit 95% Confidence Interval Upper Limit CV Relative Standard Error (Coefficient of Variation %) PercentEDNumber of treat and release hospital emergency department encounters per 100 persons in the population. func data_frame/PercentED_cv.def sasdata edpcsc_sarea_r2 saspopdata edpcsc_sarea_r2 ED Utah Emergency Department Encounter Database, Bureau of Emergency Medical Services, Utah Department of Health and Human Services 5 Meth2015 ICD Stands for International Classification of Diseases. It is a coding system maintained by the World Health Organization and the U.S. National Center for Health Statistics used to classify causes of death on death certificates and diagnoses, injury causes, and medical procedures for hospital and emergency department visits. These codes are updated every decade or so to account for advances in medical technology. The U.S. is currently using the 10th revision (ICD-10) to code causes of death. The 9th revision (ICD-9) has been used for hospital and emergency department visits until 2nd quarter of 2015. The ICD-10 was used from the 3rd quarter of 2015. Starting with the 2015 data, the methodology for grouping payers was simplified to follow HCUP categorization. Because of this, users should be cautious about performing comparisons between 2015 and previous years. The most substantial change has been the elimination of the Blue Cross/Blue Shield and Managed Care categories. This field is subject to change in the future as refinements are made to the methodology. EDTreRel Treat and Release: A patient that visits the ED, but is not admitted to the hospital as an inpatient. The patient does not stay overnight and is not admitted to another department of the hospital. GeoLHD_2015 Prior to 2015 San Juan County was part of the Southeast Local Health District. In 2015 the San Juan County Local Health District was formed. Data reported are for all years using the current boundaries. EDData The Emergency Department Encounter Database (ED) contains the consolidated information on complete billing, medical codes, personal characteristics describing a patient, services received, and charges billed for each patient emergency department (ED) encounter. The Bureau of Emergency Medical Services/Healthcare Information and Analysis Programs receives quarterly Emergency Department Encounter Data form hospitals in various formats and media. The data are converted into a standardized format. The data are validated through a process of automated editing and report verification. Each record is subjected to a series of edits that check for accuracy, consistency, completeness, and conformity with the definitions specified in the Utah Hospital Emergency Patient Encounter Data Submittal Manual. Records failing the edit check are returned to the data supplier for corrections of comment. CovValDiagCode Coverage and Validity of Diagnosis Codes: Since the data come from the billing forms, all visits or encounters have a Diagnosis code making coverage great. There is some difference of opinion regarding whether some providers may emphasize Diagnosis codes that yield higher reimbursements. The hospital and ED data are considered "Administrative Data" because they were created for use in billing and remittance of payment. As such, they were not constructed for public health surveillance purposes primarily, and are weak in some areas, such as external cause of injury and race or ethnicity. But, in general, they are extremely valuable and reasonably complete and valid. HighLowSame_2015 1COLOR_NO_OPTIONS_2015 YearSarea The inpatient discharge data in this IBIS-Q query module come from all Utah licensed hospitals. The database is maintained by the Utah Department of Health and Human Services, Healthcare Information and Analysis Programs. The population data used for the denominator were produced by ESRI ZIP Code data provided annual population estimates for ZIP Code areas by sex and age groups, are considered the most accurate available. As of November 22, 2017, the IBIS system has been updated to use an algorithm which uses both ZIP and county information to designate Local Health District (LHD) and Utah Small Area. Queries by LHD or Small Area may yield different numbers than in prior months. For more information go to [https://ibis.utah.gov/ibisph-view/pdf/resource/Algorithm.pdf] This module uses the NYU ED classification algorithm to report ED data. The algorithm was developed with the advice of a panel of emergency medicine and primary care physicians, and it is based on an examination of a sample of almost 6,000 full patient ED records. Each case was classified into Emergent Primary Care Treatable, Emergent ED Care Needed but Not Preventable/Avoidable, Emergent ED Care Needed but Preventable/Avoidable, Psych, Alcohol and Drug Related, Mental Health Related, Injury, Unclassified. Follow the steps to narrow your query and display your results. When you are done forming your query, click "Submit" at the bottom of the screen (last step) to get your query result. {{style color:red !*!*!*!*!*!*!*POPULATION DATA ALERT!*!*!*!*!*!*!*[[br]] On July 21, 2026, population estimates for 2020 and later have been updated to IBIS Version 2025. For more information, go to [https://ibis.utah.gov/ibisph-view/query/PopEst.html]. }}

Year YearProxy Year Year 2014 YearProxy Filter by year group Year Filter by year 6 Year Year9 Year9 35

EDCat EDPCSCProxy EDPCSC EDPCSCProxy There are several predefined causes to choose from. If causes on the predefined list does not meet your needs, you may enter your own ICD codes by selecting, User-defined causes. EDPCSC Filter by EDPCS conditions 6 350px EDPCSC EDPCSC5 Filter by ED PCS conditions 6 350px EDPCSC5

AgeGrp13 AgeGrpProxy AgeGrp13 AgeGrpProxy Filter by sub population group AgeGrp13 Filter by hospitalization age groups AgeGrp13 6

Sex Filter by sub population group Sex

PriPayer PriPayer

HospDischargeStat HospDischargeStat

GeoSarea GeoProxy GeoSarea GeoProxy Utah Small Areas GeoSarea GeoSarea 6

YearProxy YearSarea Years 2010 through present YearProxy 2010 2011 2012 2013 2014 . Year Years 2000 through present YearProxy 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 . Year9 YearProxy 1 2 3 4 .5 AgeGrpProxy AgeGrp11 AgeGrpProxy 1 2 3 4 5 6 7 8 9 10 11 Other . AgeGrp13 AgeGrpProxy 1 2 3 4 5 6 7 8 9 10 11 12 13 14 . Sex 1 2 9 . PriPayer 1 2 3 4 5 6 7 8 9 10 12 . HospDischargeStat 1 2 3 4 5 6 7 8 10 11 . GeoProxy GeoSarea GeoProxy 1.0 2.1 2.2 3.1 3.2 4.1 4.2 4.3 5.0 6.1 6.2 7.0 8.0 9.0 10.0 11.0 12.0 13.1 13.2 14.1 14.2 15.1 15.2 16.0 17.0 18.0 19.1 20.0 21.1 22.1 22.2 23.1 24.1 24.2 25.0 26.1 26.2 26.3 27.1 28.0 29.1 30.0 30.1 31.0 32.0 33.2 34.1 34.2 35.1 35.2 36.1 36.2 37.0 38.0 39.1 39.2 39.3 40.1 40.2 41.1 41.2 41.3 42.1 42.2 43.0 44.0 45.0 46.0 47.0 48.1 48.2 49.1 49.2 49.3 49.4 50.1 50.2 51.1 51.2 52.0 53.1 53.2 54.1 54.2 54.3 54.4 55.1 56.1 56.2 57.1 57.3 57.4 58.0 59.1 59.2 59.3 59.4 60.0 61.0 99.0 . EncType DummyProxyDimensionName-NotGroupBySelectable 1 2 . EDPCSCProxy DummyProxyDimensionName-NotGroupBySelectable EDPCSC EDPCSCProxy 1 2 3 4 6 7 8 9 10 . EDPCSC5 EDPCSCProxy 1 2 3 4 99 . EDPCSC4 EDPCSCProxy 1 2 3 4 999 . 1785972336000edpcsc/EDPCSCSarea/PercentEDPercentED56045YearProxyRate