The stepped wedge cluster randomized design has received increasing attention in
pragmatic clinical trials and implementation science research. The key feature of the design …

Natural Language Processing (NLP) is a discipline at the intersection between Computer
Science (CS), Artificial Intelligence (AI), and Linguistics that leverages unstructured human …

Background Low back pain (LBP) is a common condition made up of a variety of anatomic
and clinical subtypes. Lumbar disc herniation (LDH) and lumbar spinal stenosis (LSS) are …

Rationale and Objectives To evaluate a natural language processing (NLP) system built with
open-source tools for identification of lumbar spine imaging findings related to low back pain …

Objective We identified challenges and solutions to using electronic health record (EHR)
systems for the design and conduct of pragmatic research. Materials and Methods Since …

Importance Lumbar spine imaging frequently reveals findings that may seem alarming but
are likely unrelated to pain. Prior work has suggested that inserting data on the prevalence …

Background/aims: Pragmatic clinical trials embedded within health care systems provide an
important opportunity to evaluate new interventions and treatments. Networks have recently …

Objective To determine the incidence and worsening of lumbar spine structure and low back
pain (LBP) and whether they are predicted by demographic characteristics or clinical …

Background Stepped-wedge designs (SWD) are increasingly used to evaluate the impact of
changes to the process of care within health care systems. However, to generate definitive …

Electronic medical record (EMR) systems provide easy access to radiology reports and offer
great potential to support quality improvement efforts and clinical research. Harnessing the …