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FHIR-PYrate: a data science friendly Python package to query FHIR servers
BackgroundWe present FHIR-PYrate, a Python package to handle the full clinical data collection and extraction process. The software is to be plugged...
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Expanding Education Researchers’ Access to Classroom Observation Data With a Remote and Cost-Effective Video Data Collection Protocol
The onset of the COVID-19 pandemic and associated long-term shifts to virtual instruction among most US schools presented notable challenges among...
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Harnessing big data for health equity through a comprehensive public database and data collection framework
The United States Department of Health and Human Services (HHS) pledged $90 million to help reduce health disparities with data-driven solutions. The...
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Querying a Clinical Data Warehouse for Combinations of Clinical and Imaging Data
This study aims to show the feasibility and benefit of single queries in a research data warehouse combining data from a hospital’s clinical and...
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CohortFinder: an open-source tool for data-driven partitioning of digital pathology and imaging cohorts to yield robust machine-learning models
Batch effects (BEs) refer to systematic technical differences in data collection unrelated to biological variations whose noise is shown to...
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Health data hubs: an analysis of existing data governance features for research
BackgroundDigital transformation in healthcare and the growth of health data generation and collection are important challenges for the secondary use...
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Improving spatial data in health geographics: a practical approach for testing data to measure children’s physical activity and food environments using Google Street View
BackgroundGeographic information systems (GIS) are often used to examine the association between both physical activity and nutrition environments,...
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The Development and Implementation of A Data Repository for Swallow Studies
PurposeThe purpose of this clinical note is to (a) describe the development of an open-source data repository of videofluoroscopic evaluations of...
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Recommended data elements for health registries: a survey from a German funding initiative
BackgroundThe selection of data elements is a decisive task within the development of a health registry. Having the right metadata is crucial for...
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Identification of Autism Spectrum Disorder Using Topological Data Analysis
Autism spectrum disorder (ASD) is a pervasive brain development disease. Recently, the incidence rate of ASD has increased year by year and posed a...
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Proceedings from the CIHLMU 2022 Symposium: “Availability of and Access to Quality Data in Health”
Data is an essential tool for valid and reliable healthcare management. Access to high-quality data is critical to ensuring the early identification...
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Quantifying the Digital Divide: Associations of Broadband Internet with Tele-mental Health Access Before and During the COVID-19 Pandemic
BackgroundDuring the COVID-19 pandemic, telemedicine quickly expanded. Broadband speeds may impact equitable access to video-based mental health (MH)...
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FAIRness through automation: development of an automated medical data integration infrastructure for FAIR health data in a maximum care university hospital
BackgroundSecondary use of routine medical data is key to large-scale clinical and health services research. In a maximum care hospital, the volume...
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Opportunity and accessibility: an environmental scan of publicly available data repositories to address disparities in healthcare decision-making
BackgroundHealth disparities, starkly exposed and exacerbated by coronavirus disease 2019, pose a significant challenge to healthcare system access...
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Public data homogenization for AI model development in breast cancer
BackgroundDevelo** trustworthy artificial intelligence (AI) models for clinical applications requires access to clinical and imaging data cohorts....
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Contextualizing remote fall risk: Video data capture and implementing ethical AI
Wearable inertial measurement units (IMUs) are being used to quantify gait characteristics that are associated with increased fall risk, but the...
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Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis
A robust medical image computing infrastructure must host massive multimodal archives, perform extensive analysis pipelines, and execute scalable job...
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Zwischen fachlichen Standards und wilder Innovation: Zur Begutachtung von Big Data- und KI-Projekten in Forschungs-Ethikkommissionen
Definition of the problemIn medicine, as well as in other disciplines, computer science expertise is becoming increasingly important. This requires...
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Anomaly prediction of CT equipment based on IoMT data
BackgroundLarge-scale medical equipment, which is extensively implemented in medical services, is of vital importance for diagnosis but vulnerable to...
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Prevalence of vestibular disease in France: analysis of prescription data from a national health insurance database
Vestibular problems are frequent reasons for primary care consultations. However, there is considerable uncertainty about the prevalence and cost of...