Results 31 to 40 of about 2,349,438 (169)
Supporting research, protecting data: one institution's approach to clinical data warehouse governance. [PDF]
Abstract Institutions must decide how to manage the use of clinical data to support research while ensuring appropriate protections are in place. Questions about data use and sharing often go beyond what the Health Insurance Portability and Accountability Act of 1996 (HIPAA) considers.
Walters KM +7 more
europepmc +4 more sources
Incorporating a location-based socioeconomic index into a de-identified i2b2 clinical data warehouse. [PDF]
OBJECTIVE Clinical research data warehouses are largely populated from information extracted from electronic health records (EHRs). While these data provide information about a patient's medications, laboratory results, diagnoses, and history, her social,
Gardner BJ +3 more
europepmc +2 more sources
Roadmap to a Comprehensive Clinical Data Warehouse for Precision Medicine Applications in Oncology
Leading institutions throughout the country have established Precision Medicine programs to support personalized treatment of patients. A cornerstone for these programs is the establishment of enterprise-wide Clinical Data Warehouses. Working shoulder-to-
David J Foran +10 more
doaj +2 more sources
Background Medical coding is used for a variety of activities, from observational studies to hospital billing. However, comorbidities tend to be under-reported by medical coders.
Emmanuelle Sylvestre +5 more
doaj +2 more sources
(1) Background: Fidaxomicin has been shown to significantly reduce Clostridioides difficile infection (CDI) recurrences rates in randomized, controlled trials.
Ronald G. Hall +3 more
doaj +1 more source
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse [PDF]
Many studies on machine learning (ML) for computer-aided diagnosis have so far been mostly restricted to high-quality research data. Clinical data warehouses, gathering routine examinations from hospitals, offer great promises for training and validation
Simona Bottani +6 more
semanticscholar +1 more source
Healthcare data security and privacy in Data Warehouse architectures
Data Warehouse (DW) is a common term used in the Data Mining process for storing copious amounts of data ready for analysis. Organizations are starting to prioritize Data Warehouses, which are essential for mining their historical datasets.
Ranul D. Thantilage +2 more
doaj +1 more source
Containing the medical data of millions of patients, clinical data warehouses (CDWs) represent a great opportunity to develop computational tools. Magnetic resonance images (MRIs) are particularly sensitive to patient movements during image acquisition ...
Sophie Loizillon +6 more
semanticscholar +1 more source
A variety of algorithms have been proposed for computer-aided diagnosis of dementia from anatomical brain MRI. These approaches achieve high accuracy when applied to research data sets but their performance on real-life clinical routine data has not been
Simona Bottani +6 more
semanticscholar +1 more source
Lessons learned from an enterprise-wide clinical datathon
In 2020, Baylor College of Medicine held a datathon to inform potential users of a new data warehouse, allow users to address clinical questions, identify warehouse capabilities and limitations, foster collaborations, and engage trainees.
Andrew J. Zimolzak +10 more
doaj +1 more source

