Data Utility

Objective: To evaluate whether synthetic data derived from a national coronavirus disease 2019 (COVID-19) dataset could be used for …

This panel discusses the use of synthetic data for various real analyses related to the COVID-19 pandemic. Using a synthetic dataset derived from N3C data, panelists have performed studies of data characterization, epidemic measurement, prevalence prediction, and inpatient severity prediction, and compared the data to results drawn from the original dataset. The panel provides a comprehensive review of how synthetic data can be used for analysis. While each of the studies could be considered separately, the combination of studies together creates an opportunity to clearly recognize the status of synthetic data validation, which can better advance the appropriate application of the technology in informatics broadly.

Background: Computationally derived (“synthetic”) data can enable the creation and analysis of clinical, laboratory, and diagnostic …

This group conducts utility analyses on the synthetic data generated for use within the N3C enclave.

Aim: Although clinicians primarily diagnose dementia based on a combination of metrics such as medical history and formal …

Background: There is a need for fast, accessible, low-cost, and accurate diagnostic methods for early detection of cognitive decline. …

Introduction: The subcutaneous implantable cardioverter-defibrillator (S-ICD) is a lifesaving device. Recording of a specialized 3-lead …

Background: Each encounter of asymptomatic individuals with the healthcare system presents an opportunity for improvement of …