Uniform Hospital Discharge Data Set (UHDDS) is a data set that contains administrative and clinical data of inpatients in a hospital. The UHDDS is developed by the National Center for Health Statistics (NCHS) of the United States Department of Health and Human Services (HHS). The UHDDS includes the following data elements: patient name, address, sex, date of birth, admission date, discharge date, patient status at discharge, principal diagnosis, up to nine additional diagnoses, and procedures performed during the hospitalization.
Uniform Ambulatory Care Data Set (UACDS) is a data set that contains administrative and clinical data of outpatient or ambulatory care patients. The UACDS is developed by the National Committee on Vital and Health Statistics (NCVHS) of the United States Department of Health and Human Services (HHS). The UACDS includes the following data elements: patient identification information, date of service, reason for visit, diagnosis, procedure, and disposition.
Minimum Data Set (MDS) is a data set that contains clinical and administrative data of residents in long-term care facilities such as nursing homes. The MDS is developed by the Centers for Medicare and Medicaid Services (CMS) of the United States Department of Health and Human Services (HHS). The MDS includes the following data elements: resident identification information, assessment type, assessment reference date, cognition, mood, behavior, activities of daily living (ADLs), continence, diagnoses, treatments, and other related clinical and administrative information.
The UHDDS and UACDS are similar in that they both contain administrative and clinical data of patients, but the UHDDS is designed for inpatients while the UACDS is designed for outpatient or ambulatory care patients. Both data sets include data elements such as patient identification information, diagnosis, and procedures. The MDS is different from the UHDDS and UACDS in that it is designed specifically for residents in long-term care facilities and includes data elements related to cognition, mood, behavior, and ADLs. All three data sets are designed to improve the quality of patient care by providing standardized and consistent data that can be used for research, quality improvement, and decision making.