The Center for Health Data Innovation & Impact aims to empower MUSC faculty, students, & administrators to transform healthcare through strategic use of secondary data and mixed methods, robust data analysis, applied research, and education. Uniting expertise in health services research and practice-based evaluations, the Center drives innovation, supports data-informed decision-making, and advances the research, academic, and clinical missions of MUSC through collaborative data-informed initiatives. The Center houses the Health Data Research and Methods Core (formerly CEDAR) and the Applied Health Research & Strategy Plan.
The Health Data Research & Methods Core has acquired and manages many secondary datasets that are governed by data use agreements (DUA). Our current inventory of datasets is listed in the table below. Additionally, the Health Data Research & Methods Core provides consultations to help investigators identify other publicly available datasets that may support their research projects.
Research with secondary data does require IRB approval. In some cases, studies using these data are deemed exempt and in other cases they have been deemed “Non-Human Research” by the MUSC IRB. However, all requests to access data in the datasets managed by the Health Data Research & Methods Core must be approved by the Health Data Research & Methods Core director to ensure DUA compliance. All final research products (posters; presentations; manuscripts) must be submitted to the Health Data Research & Methods Core for approval of compliance with DUA requirements.
Each DUA has specific criteria for use of the data. Before being given access to the data, investigators will meet with a member of the Health Data Research & Methods Core leadership team to go over all criteria for that specific DUA. Typical criteria include not reporting cell sizes less than 11 observations, directions for HIPAA codes, and prohibiting linkage to other data sources. Some DUA’s have additional criteria such as re-use fees, or collaboration with a Health Data Research & Methods Core member. All relevant criteria will be discussed with a Health Data Research & Methods Core leadership member.
To use Health Data Research & Methods Core data, the primary investigator will be required to sign a Health Data Research & Methods CoreUse Agreement that is specific to the dataset being accessed. The Health Data Research & Methods Core leadership member they are consulting with will provide the appropriate form.
The Center for Health Data Innovation & Impact provides the following services, which may be requested through SPARCRequest:
Consultation with Health Data Research & Methods Core Leadership about the specific contents of each dataset is recommended.
| Secondary Datasets acquired and managed by CEDAR | |||
| Secondary Dataset Name | Source | Description | Years |
| 100% Research Identifiable Home Health Files (MBSF, MBSF-CC, MBSF-CU, MedPAR, HHA, OASIS) | Centers for Medicare and Medicaid Services | Nationwide, 100% files including all beneficiaries who received home health. | 2018-2022 |
| 5% Limited Data Sets: SNF, OP, IP, Hospice, HH, DME, Carrier, MBSF, Denomiinator | Centers for Medicare and Medicaid Services | Nationwide 5% longitudinal samples across multiple care settings | 2012-2022 |
| National Inpatient Sample | Agency for Healthcare Research and Quality- Healthcare Cost and Utilization Project | Largest publicly available all-payer inpatient health care database in the United States. | 2000-2021 |
| National Emergency Department Sample | Agency for Healthcare Research and Quality- Healthcare Cost and Utilization Project | Largest all-payer emergency department database in the United States | 2012-2015 |
| HCUP State Ambulatory Services Database | Agency for Healthcare Research and Quality- Healthcare Cost and Utilization Project | Variety of states with differing variables | 2009-2019 (varies by state) |
| HCUP State Impatient Data | Agency for Healthcare Research and Quality- Healthcare Cost and Utilization Project | Variety of states with differing variables | 2009-2019 (varies by state) |
| Merative MarketScan® Commercial Claims and Encounters Database | Merative MarketScan Research Databases | De-identified, patient-specific health data of reimbursed healthcare claims for employees, retirees, and their dependents of over 250 medium and large employers and health plans. | 2016-2022 |
| Merative MarketScan® Medicare Supplement File | Merative MarketScan Research Databases | De-identified, patient-specific health data of reimbursed healthcare claims billed to Medicare supplement plans | |
| Merative MarketScan® Medicaid | Merative MarketScan Research Databases | De-identified, patient-specific health data of reimbursed healthcare claims for 10 deidentified states billed through Medicaid. | 2016-2022 |
| South Carolina All-payer Data | South Carolina Revenue and Fiscal Affairs Office | Limited to specific projects for telehealth; permission can be requested for other projects. | 2016-2022 |
The Health Data Research & Methods Core has a large portfolio of validated SAS programs for selecting disease phenotypes (e.g. stroke, MI, diabetes, Alzheimer’s Disease, asthma, HIV) and prescription bundles (depression meds, blood pressure med, biotics etc), as well as validated programs to assign comorbidity risk (Charlson and Elixhouser), frailty measures, stroke severity.
Director, Center for Health Data Innovation & Impact
Board Certified Geriatric Specialist in Physical Therapy
Associate Professor, College of Health Professions
Department of Health Sciences and Research
Associate Director-Pilot Studies, CEDAR Core
Distinguished University Professor, College of Health Professions
Department of Healthcare Leadership & Management
simpsonk@musc.edu
Associate Professor
Associate Director, Comparative Effectiveness Data Analytics Research (CEDAR) Core
Director of Information Technology, CEDAR Core
Senior Information Resource Consultant, College of Health Professions
Education and Information Technology
eisenhaj@musc.edu
Director of Research Administration
College of Health Professions
daviskim@musc.edu
Business Manager, College of Health Professions
Department of Health Sciences and Research
mindick@musc.edu