Health Research Datasets

Knowledge Enterprise hosts health data on behalf of the Arizona Department of Health Services (ADHS) as the Honest Broker for Arizona State University (ASU) and Northern Arizona University (NAU) faculty researchers. Under the current Memorandum of Understanding (MOU), the Honest Broker maintains copies of several public health datasets. The NIH All of Us program also makes datasets available for researchers and students through ASU.

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11 to 17 of 17 Results

Medical Electronic Disease Surveillance Intelligence System (MEDSIS) Feb 19, 2025 - Arizona Department of Health Services Datasets Division of Epidemiology and Disease Control, 2022, "Medical Electronic Disease Surveillance Intelligence System (MEDSIS)", https://doi.org/10.48349/ASU/9CXRSE, ASU Library Research Data Repository, V3, UNF:6:I+FEbsGYOZZ3SAN83POLgw== [fileUNF] MEDSIS is a statewide system hosted and supported by the Arizona Department of Health Services (ADHS) for use by local health departments for infectious disease surveillance, and for individuals and institutions responsible for reporting communicable diseases. Data includes identifiable surveillance data for Confirmed and Probable reportable cases....
Hospital Discharge Data Feb 19, 2025 - Arizona Department of Health Services Datasets Division of Public Health Statistics, 2021, "Hospital Discharge Data", https://doi.org/10.48349/ASU/MG6SKZ, ASU Library Research Data Repository, V3 ADHS collects hospital discharge records for inpatient and emergency department visits from all Arizona licensed hospitals. These data include deidentified and identified demographics, facilities, discharge diagnoses, and providers. Hospital discharge data is available in two distinct categories: inpatient and emergency department. Both categories...
2022-02_ddm_c.pdf Jan 23, 2024 - Hospital Discharge Data Adobe PDF - 318.6 KB - MD5: b09f9fb6198b5364173f200dcb751693 ADHS Hospital Discharge Data Reporting Specifications Manual (Fields and Values)
MEDSIS Data Dictionary_09112023.tab Sep 25, 2023 - Medical Electronic Disease Surveillance Intelligence System (MEDSIS) Tabular Data - 668 B - 1 Variables, 16 Observations - UNF:6:I+FEbsGYOZZ3SAN83POLgw== This data dictionary file describes the variables and caveats for the ADHS MEDSIS datasets available for request.
All of Us Registered Tier Dataset v7 CDR Data Dictionary (R2022Q4R9).xlsx Aug 21, 2023 - All of Us - NIH - Registered Tier MS Excel Spreadsheet - 1.1 MB - MD5: ef9c35a8b0d996a0ddaafa3833a4821b
All of Us - National Institutes of Health(National Institutes of Health (NIH)) Aug 21, 2023 The All of Us Research Hub, part of the National Institutes of Health, stores health data from a diverse group of participants from across the United States. The research data hub has tiered levels of access to participant data that incorporates strict data use policies. Tiers are available from aggregated, anonymized data summaries to more partici...
Arizona Department of Health Services Datasets(Arizona Department of Health Services (ADHS)) Oct 14, 2021 ASU maintains rolling data sets of Arizona births and deaths, hospital discharge data, the Behavioral Risk Factor Surveillance System (BRFSS) data, infectious disease surveillance data, and immunization data. These data are reported by county and month, contain demographics, and are available as deidentified or identified.

Medical Electronic Disease Surveillance Intelligence System (MEDSIS)

Feb 19, 2025 - Arizona Department of Health Services Datasets

Division of Epidemiology and Disease Control, 2022, "Medical Electronic Disease Surveillance Intelligence System (MEDSIS)", https://doi.org/10.48349/ASU/9CXRSE, ASU Library Research Data Repository, V3, UNF:6:I+FEbsGYOZZ3SAN83POLgw== [fileUNF]

MEDSIS is a statewide system hosted and supported by the Arizona Department of Health Services (ADHS) for use by local health departments for infectious disease surveillance, and for individuals and institutions responsible for reporting communicable diseases. Data includes identifiable surveillance data for Confirmed and Probable reportable cases....

Hospital Discharge Data

Feb 19, 2025 - Arizona Department of Health Services Datasets

Division of Public Health Statistics, 2021, "Hospital Discharge Data", https://doi.org/10.48349/ASU/MG6SKZ, ASU Library Research Data Repository, V3

ADHS collects hospital discharge records for inpatient and emergency department visits from all Arizona licensed hospitals. These data include deidentified and identified demographics, facilities, discharge diagnoses, and providers. Hospital discharge data is available in two distinct categories: inpatient and emergency department. Both categories...

2022-02_ddm_c.pdf

Jan 23, 2024 - Hospital Discharge Data

Adobe PDF - 318.6 KB -

ADHS Hospital Discharge Data Reporting Specifications Manual (Fields and Values)

MEDSIS Data Dictionary_09112023.tab

Sep 25, 2023 - Medical Electronic Disease Surveillance Intelligence System (MEDSIS)

Tabular Data - 668 B - 1 Variables, 16 Observations -

This data dictionary file describes the variables and caveats for the ADHS MEDSIS datasets available for request.

All of Us Registered Tier Dataset v7 CDR Data Dictionary (R2022Q4R9).xlsx

Aug 21, 2023 - All of Us - NIH - Registered Tier

MS Excel Spreadsheet - 1.1 MB -

All of Us - National Institutes of Health(National Institutes of Health (NIH))

Aug 21, 2023

The All of Us Research Hub, part of the National Institutes of Health, stores health data from a diverse group of participants from across the United States. The research data hub has tiered levels of access to participant data that incorporates strict data use policies. Tiers are available from aggregated, anonymized data summaries to more partici...

Arizona Department of Health Services Datasets(Arizona Department of Health Services (ADHS))

Oct 14, 2021

ASU maintains rolling data sets of Arizona births and deaths, hospital discharge data, the Behavioral Risk Factor Surveillance System (BRFSS) data, infectious disease surveillance data, and immunization data. These data are reported by county and month, contain demographics, and are available as deidentified or identified.

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