Results 21 to 30 of about 1,258,594 (266)

User Preferences and Needs for Health Data Collection Using Research Electronic Data Capture: Survey Study

open access: yesJMIR Medical Informatics
BackgroundSelf-administered web-based questionnaires are widely used to collect health data from patients and clinical research participants. REDCap (Research Electronic Data Capture; Vanderbilt University) is a global, secure web
Hiral Soni   +9 more
doaj   +2 more sources

An Electronic Data Capture Framework (ConnEDCt) for Global and Public Health Research: Design and Implementation

open access: yesJournal of Medical Internet Research, 2020
BackgroundWhen we were unable to identify an electronic data capture (EDC) package that supported our requirements for clinical research in resource-limited regions, we set out to build our own reusable EDC framework.
Ruth, Caleb J   +10 more
doaj   +2 more sources

Procurement of shared data instruments for Research Electronic Data Capture (REDCap)

open access: yesJournal of Biomedical Informatics, 2013
REDCap (Research Electronic Data Capture) is a web-based software solution and tool set that allows biomedical researchers to create secure online forms for data capture, management and analysis with minimal effort and training. The Shared Data Instrument Library (SDIL) is a relatively new component of REDCap that allows sharing of commonly used data ...
Obeid, Jihad S.   +10 more
openaire   +4 more sources

Improving Cattle Market Syndromic Surveillance Through Electronic Data Capture [PDF]

open access: yesOnline J Public Health Inform, 2017
ObjectiveImplement a mobile technology platform to capture and transmitsyndromic cattle data collected at Texas market sales.IntroductionAn active syndromic surveillance system was designed to collectcattle health information from a sample of Texas cattle market sales.Texas Animal Health Commission livestock inspectors record the totalnumber of animals
Estberg L   +5 more
europepmc   +3 more sources

How Can a Clinical Data Modelling Tool Be Used to Represent Data Items of Relevance to Paediatric Clinical Trials? Learning from the Conect4children (c4c) Consortium

open access: yesApplied Sciences, 2022
Data dictionaries for clinical trials are often created manually, with data structures and controlled vocabularies specific for a trial or family of trials within a sponsor’s portfolio.
Chima Amadi   +7 more
doaj   +1 more source

Remote and semi-automated methods to conduct a decentralized randomized clinical trial

open access: yesJournal of Clinical and Translational Science, 2023
Introduction: Designing and conducting clinical trials is challenging for some institutions and researchers due to associated time and personnel requirements.
Teresa Cafaro   +13 more
doaj   +1 more source

Efficient Learning of a One-dimensional Density Functional Theory [PDF]

open access: yes, 2020
Density functional theory underlies the most successful and widely used numerical methods for electronic structure prediction of solids. However, it has the fundamental shortcoming that the universal density functional is unknown.
Denner, M. Michael   +2 more
core   +2 more sources

Can remote STI/HIV testing and eClinical Care be compatible with robust public health surveillance? [PDF]

open access: yes, 2015
In this paper we outline the current data capture systems for human immunodeficiency virus (HIV) and sexually transmitted infection (STI) surveillance used by Public Health England (PHE), and how these will be affected by the introduction of novel ...
Estcourt, C   +10 more
core   +2 more sources

CastorEDC API: A Python Package for Managing Real World Data in Castor Electronic Data Capture

open access: yesJournal of Open Research Software, 2023
Real world data is being used increasingly in medical research. Castor Electronic Data Capture is a secure and user-friendly platform for managing study data. Integrating data from several databases into a single Castor database is complex.
Reinier Cornelis Anthonius van Linschoten   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy