Big Data

RAND identified use cases on identifying frailty using electronic health record (EHR) data in health systems in the US and examples from other countries, which demonstrate applications in both primary and specialist care. The final EHR implementation guide summarizes the learnings from participants in the EHR Learning Network and the identified use cases.

The Synthetic Health Data Generation to Accelerate PCOR project was launched in 2019 by the Office of the National Coordinator for Health Information Technology (ONC).

ASPE recently published a narrative review in PLOS Digital Health exploring how synthetic data are being used. Researchers searched published literature and known, publicly available synthetic datasets.

Using a national Medicaid database, the report shows significant racial/ethnic disparities in mental health service use among children during the COVID-19 pandemic.

In recent years several researchers and child welfare agencies have begun developing predictive risk models to support child welfare decision-making. Predictive analytics is a sophisticated form of risk modeling that uses historical data to understand relationships between myriad factors to estimate a probability score for the outcome of interest.

This brief analyzes information on administrative data resources collected by the Administration for Children and Families (ACF). It explores how the data can be leveraged to improve evidence and research on ACF programs and beneficiaries. Key highlights include:

National health surveillance instruments are intended to monitor important health issues and health status of all populations in the United States. Several population subgroups present with disparities in health conditions and health care. To effectively create programs and policies to address these issues requires accurate identification of key population subgroups.

The purpose of this research project was to provide the Office of Science and Data Policy at ASPE with some informed observations concerning the use of new data sources and data management strategies in policy research, evaluation, and decision-making at the federal level. A secondary goal was to identify successful training models in data science for the federal workforce.

A large proportion of DATA-waivered providers choose not to be publicly listed on the SAMHSA website. Greater proportions of physician assistants and nurse practitioners, compared to physicians, opt to be listed on the SAMHSA website.

This research brief presents findings from a survey administered to state health and human services officials asking about their efforts to strengthen connections between health and human services programs for low-income populations through  increased data interoperability and systems integration.