description:

The Health Data Repository (HDR) is a VA multi-year development project to create a longitudinal record of Veterans clinical data, including a method to display 'legacy' clinical data from 128 Veterans Health Information Systems and Technology Architecture (VistA) systems. Data displayed will be in 'real-time' and will come from the Health Data Repository for re-engineered applications and VistA for all other clinical applications. The long-term goal of the HDR project is to be a national transactional database that stores all clinical data from re-engineered applications and a number of regional databases that will provide access to VistA data.

The Health Data Repository (HDR) is a VA multi-year development project to create a longitudinal record of Veterans clinical data, including a method to display 'legacy' clinical data from 128 Veterans Health Information Systems and Technology Architecture (VistA) systems. Data displayed will be in 'real-time' and will come from the Health Data Repository for re-engineered applications and VistA for all other clinical applications. The long-term goal of the HDR project is to be a national transactional database that stores all clinical data from re-engineered applications and a number of regional databases that will provide access to VistA data.

Platform developed and operated by Stanford Medicine Research IT team for working with clinical data for research purposes. Permits collection and aggregation of all clinical data generated at Stanford for care purposes, and articulates formal approval process each research project must follow in order to obtain and work with this data for research purpose. Home of stride/web tools for Cohort Discovery and Chart Review.

Data used for study titled "Populations addressed in vaccines approved via the European Medicines Agency".

Data repository that is hosting medical images.

ADR provides an authoritative data store for shared administrative, demographic, enrollment, and eligibility information which is managed as a corporate asset. This administrative database system offers mission-critical database support for all VA Medical 21st Century Core applications such as Enrollment Systems, Identity Management System, Community Care Program, Veterans's Choice program, President's Affordable Care Act project, Patient Advocacy Tracking System, Veterans 360, and others.

Raw and processed data obtained dring DTLS grant 435005022 Date: 2022-01-31 Date Submitted: 2022-06-30

Link Function: information

A repository of de-identified control arm data of patients from clinical studies of Alzheimer's disease and Mild Cognitive Impairment. It provides the ability to analyze the data online with the R statistical analysis program, create and download standard reports, run complex queries, or download data to a desktop for further analysis. Additional data will be added to the database over time. Critical Path Institute consortia members and qualified researchers may upload and work on scientific data relevant to biomarkers of drug toxicity, neurodegenerative diseases, and patient-reported outcomes.

Repository that serves to coordinate searches across data and biospecimen collections from participants in numerous clinical trials and epidemiologic studies and to provide an electronic means for requests for additional information and the submission of requests for collections. The collections, comprising data from more than 80 trials or studies and millions of biospecimens, are available to qualified investigators under specific terms and conditions consistent with the informed consents provided by the individual study participants. Some datasets are presented with studies and supporting materials to facilitate their use in reuse and teaching. Datasets support basic research, clinical studies, observational studies, and demonstrations. Researchers wishing to apply to submit biospecimen collections to the NHLBI Biorepository for sharing with qualified investigators may also use this website to initiate that process.

Most common drugs and their risk category filled among pregnant women who received at least one prescription.

The data were extracted from ED records, as well as laboratory analyses and health professional notes taken during the hospital stay of each patient starting from admission to the hospital until discharge. Additionally, clinic records were accessed to determine if patients came for a follow-up visit. Initially, we selected the charts of all patients discharged with a diagnosis of stroke (ischemic and hemorrhagic) or transient ischemic attack (TIA) from the Crouse Hospital ED from September 2015 to January 2021. This provided a starting pool of 4634 records to review. We then focused on a set of 1863 more complete records that included incidents from January 2019 to January 2021. This group was further reduced to those which were associated with home addresses in the six counties surrounding Crouse Hospital (Onondaga, Oneida, Oswego, Madison, Cayuga and Cortland). The final group of incidents used for our study numbered 1731.

The NIH Common Data Elements (CDE) Repository has been designed to provide access to structured human and machine-readable definitions of data elements that have been recommended or required by NIH Institutes and Centers and other organizations for use in research and for other purposes. Visit the NIH CDE Resource Portal for contextual information about the repository.

This dataset tracks the updates made on the dataset "State Drug Utilization Data 2021" as a repository for previous versions of the data and metadata.

The incorporation of computers into clinical settings has led to the rise in the use of the term "automation" as a buzzword. However, the status of this term as a buzzword vastly overestimates the role automation plays versus what it could play in the clinical context. Despite vast opportunities offered by the expansion of automation into care systems, major gaps remain in the infrastructure required to support its widespread introduction. Fortunately, tools like RexDB by Prometheus Research can facilitate such an infrastructure.

The drug labels and other drug-specific information on this Web site represent the most recent drug listing information companies have submitted to the Food and Drug Administration (FDA). (See 21 CFR part 207.) The drug labeling and other information has been reformatted to make it easier to read but its content has neither been altered nor verified by FDA. The drug labeling on this Web site may not be the labeling on currently distributed products or identical to the labeling that is approved. Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies described in monographs. Drugs marked 'OTC monograph final' or OTC monograph not final' are not checked for conformance to the monograph. Drugs marked 'unapproved medical gas', 'unapproved homeopathic' or 'unapproved drug other' on this Web site have not been evaluated by FDA for safety and efficacy and their labeling has not been approved. In addition, FDA is not aware of scientific evidence to support homeopathy as effective.

This file contains the data elements used for searching the FDA Online Data Repository including proprietary name, active ingredients, marketing application number or regulatory citation, National Drug Code, and company name.

We aimed to describe medication use in pregnancies that resulted in births and abortions, as well as use after a pregnancy-related visit to characterize the receipt of medication after knowledge of pregnancy. Abortions included both spontaneous and induced abortions. Rates of medication use among women with a pregnancy outcome (2001–2013) were described using the Manitoba Population Research Data Repository at the Manitoba Centre for Health Policy. Use was determined as ≥ 1 prescription filled during pregnancies that resulted in births (livebirth/stillbirth) and abortions. Rates were calculated at any time during pregnancy and after a pregnancy-related visit. Rates were additionally characterized by risk in pregnancy using Briggs classification (2017). Of 174,848 birth pregnancies, overall 64.9% filled ≥ 1 prescription during pregnancy (a significant increase from 62.3% to 68.8% from 2001–2013, p

This dataset tracks the updates made on the dataset "Medicare Durable Medical Equipment, Devices & Supplies - by Supplier" as a repository for previous versions of the data and metadata.

A dataset containing quantitative data on costs and timeframes for the publication “Non-commercial pharmaceutical R&D: what do neglected diseases suggest about costs and efficiency?”.

Comprehensive dataset for the medical supplies industry, including blood banks, pharmacies, and lab supply stores. Ideal for logistics planning, healthcare accessibility studies, and business strategy.