For more than 20 years, the Dartmouth Atlas Project has documented glaring variations in how medical resources are distributed and used in the United States. The project uses Medicare data to provide information and analysis about national, regional, and local markets, as well as hospitals and their affiliated physicians. This research has helped policymakers, the media, health care analysts and others improve their understanding of our health care system and forms the foundation for many of the ongoing efforts to improve health and health systems across America.
Healthcare Effectiveness Data and Information Set (HEDIS) includes more than 90 measures across 6 domains of care:
- Effectiveness of Care.
- Access/Availability of Care.
- Experience of Care.
- Utilization and Risk Adjusted Utilization.
- Health Plan Descriptive Information.
- Measures Collected Using Electronic Clinical Data Systems
The DAC uses HEDIS to build some of the Dartmouth Atlas measures. Example code for using HEDIS measures published on Dartmouth Dataverse.
The Clinical Classifications Software (CCS) for ICD-9-CM is a diagnosis and procedure categorization scheme that can be employed in many types of projects analyzing data on diagnoses and procedures. CCS is based on the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM), a uniform and standardized coding system. The ICD-9-CM's multitude of codes - over 14,000 diagnosis codes and 3,900 procedure codes - are collapsed into a smaller number of clinically meaningful categories that are sometimes more useful for presenting descriptive statistics than are individual ICD-9-CM codes.
These codes are used with Home Health Agency (Fee-for-Service), Hospice (Fee-for-Service), Inpatient (Fee-for-Service), Outpatient (Fee-for-Service), Skilled Nursing Facility (Fee-for-Service)
Patient Report Outcome Measures
The Chronic Conditions Data Warehouse (CCW) defines 27 common chronic conditions and 39 other chronic or potentially disabling conditions to help researchers identify cohorts of beneficiaries with specific conditions.