Query Results for NCDM Inpatient Hospital Discharge Query Module for Utah Counties and Local Health Districts - AMI Count
Sorry, no data were returned for your query.
The filtering criteria was too specific or no data exists in the dataset. If you feel that your query should have worked, please contact us and let us know about the problem. Otherwise, please go back and modify your query using less specific filtering criteria.Admission Years Filter: | 2021 |
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Data Grouped By: | Admission Years |
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 3rd quarter of 2015. The ICD-10 was used from the 4th quarter of 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.
Data with ICD-9 diagnosis codes may have slightly different counts from previous version of data. The current data excludes homeless, unknown Utahn and muti-county cases from Utah residents
- Utah Inpatient Hospital Discharge Data, Healthcare Information and Analysis Programs, Utah Department of Health and Human Services
The Hospital Discharge Database (HDDB) contains the consolidated information on complete billing, medical codes, and personal characteristics describing a patient, the services received, and charges billed for each inpatient hospital stay. The OHCS receives discharge data quarterly from hospitals in various format 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 Data Submittal Manual. Records failing the edit check are returned to the data supplier for corrections of comment.
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.
These data were queried on: Sun, 24 Nov 2024 16:56:26 MST
The dataset was last updated on: Fri, 22 Jul 2022 15:46:51 MDT
The dataset was last updated on: Fri, 22 Jul 2022 15:46:51 MDT
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