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| Data Source | Datasets | Brief Summary | Date Ranges | Who can access the data? (i.e. Pitt researchers?) | Who to contact regarding data access and use? |
|---|---|---|---|---|---|
| PHC4 | Inpatient Discharge Data & Ambulatory/Outpatient Procedure Data | The PHC4 dataset (2010–2023) includes Pennsylvania inpatient and outpatient surgery records, with clinical, utilization, and administrative information such as diagnoses, procedures, charges, payer, and facility characteristics. Emergency department visits are not included. | 2010-2023 | Researcher with IRB approval | HSRDC hsrdc@pitt.edu |
| HCUP | SID/SEDD/SASD - (years vary by state) | The HCUP State Databases—SID, SEDD, and SASD—provide state-level encounter data on inpatient stays, emergency department visits, and outpatient surgeries/procedures, respectively. This study used selected datasets from 2010–2022, with availability varying by state and year. | 2010 – 2022 | Researcher with DUA and IRB | HSRDC hsrdc@pitt.edu |
| CMS | CMS MAX Other Services (OT) - Medicaid beneficiaries, including dual eligibles | The CMS Medicaid Analytic eXtract (MAX) Other Services (OT) file contains claims for non-institutional, non-pharmacy services provided to Medicaid beneficiaries, including dual Medicare–Medicaid enrollees. It includes services such as physician visits, outpatient care, home health, laboratory tests, imaging, and dental care, while excluding inpatient hospitalizations, long-term care, and standalone prescription drug claims. | 2003, 2005, 2007, 2009, 2011, and 2013 | Researcher with DUA and IRB | Email Howard Degenholtz (howard.degenholtz@pitt.edu) and copy Julie Donohue (jdonohue@pitt.edu) |
| CMS | MCBS (Medicare Current Beneficiary Survey) File Plus Cost Supplement | The Medicare Current Beneficiary Survey (MCBS) Cost Supplement File provides comprehensive information on healthcare utilization, costs, and payment sources for Medicare beneficiaries, including services and out-of-pocket expenses not covered by Medicare. It links detailed healthcare events with total expenditures, making it a valuable resource for analyzing healthcare spending, coverage, and beneficiary financial burden. | 2015–2019 | Researcher with DUA and IRB | Email Howard Degenholtz (howard.degenholtz@pitt.edu) and copy Julie Donohue (jdonohue@pitt.edu) |
| CMS | Medicare 5% Sample - CMS Chronic Conditions Data Warehouse (CCW) dataset integrating Medicare Part D prescription drug data, beneficiary summary files, chronic condition indicators, provider information, and Accountable Care Organization (ACO) participation data. | The Medicare 5% Sample from the CMS Chronic Conditions Data Warehouse (CCW) is a longitudinal, de-identified claims database containing a 5% national sample of Medicare beneficiaries. It includes beneficiary demographics and enrollment information, chronic condition indicators, prescription drug claims, and provider data, supporting longitudinal analyses of healthcare utilization, outcomes, and costs. | 2006-2018 | Researcher with DUA and IRB | Email Howard Degenholtz (howard.degenholtz@pitt.edu) and copy Julie Donohue (jdonohue@pitt.edu) |
| UPMC EHR | Electronic Health Records data available from 2018 through two months prior to the current month | UPMC Electronic Health Records (EHR) data include longitudinal clinical information from patient encounters across the UPMC health system. For this study, EHR data were available from 2018 through two months prior to the current month, providing detailed information on patient demographics, diagnoses, procedures, medications, laboratory results, healthcare utilization, and clinical outcomes. | 2018-on | Researcher with IRB approval | HSRDC hsrdc@pitt.edu |
| UPMC High Frequency Data | 2018 to 2 years prior to the current year | — | 2018-on | Researcher with IRB approval | HSRDC hsrdc@pitt.edu |
| PCOR | Demographic and Social, EHR, Pharmacy, Encounter | PCORnet is a national clinical research network that standardizes longitudinal real-world data from more than 60 million patients across 85+ health systems using a common data model. Available data include demographics, encounters, diagnoses, procedures, laboratory results, medications, and linked claims data. | 2015-2025 | Researcher with IRB approval | Email Autumn Boyer (ARB352@pitt.edu) |
| AHA | AHA Annual Survey of Hospitals | The American Hospital Association (AHA) Annual Survey of Hospitals is a national database that provides comprehensive information on U.S. hospitals and health systems. The survey includes data on hospital characteristics, services offered, staffing, bed capacity, utilization, ownership, finances, and facility infrastructure, making it a valuable resource for healthcare services research, hospital benchmarking, workforce analyses, and studies of healthcare delivery and access. | 2000-2024 | Researcher with IRB approval and who is utilizing an HSRDC desktop | HSRDC |