Electronic health records (EHRs) provide opportunities to enhance patient care, embed
performance measures in clinical practice, and facilitate clinical research. Concerns have …

Abstract The National Academy of Medicine has long advocated for a “learning healthcare
system” that produces constantly updated reference data during the care process. Moving …

Objective: Harmonized data quality (DQ) assessment terms, methods, and reporting
practices can establish a common understanding of the strengths and limitations of …

Cross-institutional healthcare predictive modeling can accelerate research and facilitate
quality improvement initiatives, and thus is important for national healthcare delivery …

Importance Bariatric surgery can lead to substantial improvements in type 2 diabetes
(T2DM), but outcomes vary across procedures and populations. It is unclear which bariatric …

Purpose Defining a study population and creating an analytic dataset from longitudinal
healthcare databases involves many decisions. Our objective was to catalogue scientific …

Objective: To discuss recent developments in clinical terminologies. SNOMED CT
(Systematized Nomenclature of Medicine Clinical Terms) is the world's largest clinical …

Addressing minority health and health disparities has been a missing piece of the puzzle in
Big Data science. This article focuses on three priority opportunities that Big Data science …

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on
the German Medical Informatics Initiative. Similar to other large international data sharing …

Abstract Objective To describe PCORnet, a clinical research network developed for patient-
centered outcomes research on a national scale. Study Design and Setting Descriptive …