Eldrew
commented
9 years ago Perhaps we can add a disclaimer under the opendata section about data integrity
"Disclaimer: The catalyst application queries the openFDA dataset through the opendata api, any discrepancies or errors in data should be submitted the team at open.fda.gov"
SheyaMLeGT
See attached mockup & use the header from the drug details page (to include the search bar) No logos next to Catalyst and eGT headers, please
About Catalyst
Catalyst is a tool to help researchers easily explore and interact with OpenFDA drug labeling and adverse events data. We named the tool Catalyst because we believe by making this data more accessible we could help inspire and spark insight on trends for specific events and outcomes. We imagine scenarios in which a researcher is looking to identify unusual correlations between a particular symptom and substance, investigating which drugs have the highest incidence of that symptom, or reviewing at a set of core analytics around the datasets of labeling and adverse events.
What is OpenFDA data?
The openFDA drug adverse event API returns data from the FDA Adverse Event Reporting System (FAERS), a database that contains information on adverse event and medication error reports submitted to FDA. Currently, this data covers publically releasable records submitted to the FDA from 2004-2013. The data is updated quarterly.
Getting Started
There are many ways to explore the OpenFDA datasets using Catalyst. Below are a few examples:
Want to find all generic forms of a brand name drug?
Enter the brand name into the search label; the right column of your return will show summaries of related drug labels, and the left column will show the possible ways to filter those results. For example, advil, you can learn box warnings, chemical structure, and indications and use. If the dataset is too wide, you can also filter out specific results using the search facets.
Want to see the adverse effects of a particular substance or drug?
Enter the drug name into the search label; filter the results by clicking search facets in the left column, then click the Adverse Event icon ☤ in the right column next to the ingredient of choice.
Explore by cross-referencing data
By exploring different features within the data, you can find interesting connections, such as all drugs that cause nausea, or that there is a 3.25% rate of suicide from taking Acetaminophen.
Colophon
The Catalyst project was led by Jennifer Hinton. Sheya Meierdierkes-Lehman and Laundrew Diamond provided Agile Coaching and project management support as the project utilized the Agile Scrum methodology.
OpenFDA API integration and Code Optimization was completed by Eric Hanson with assistance by Manasa "Mansi" Pandurangi. Logo and style was designed by Jennifer Hinton. User experience and site look and feel was designed by Manasa "Mansi" Pandurangi.
Robert Patt-Corner and Patrick Grady provide subject matter expertise and contributed to the value lead by the project owner Jennifer Hinton.
DevOps support was led by John Stange and Jai Bapna automated the infrastructure and setup the Continuous Integration and Continuous Delivery workflow.
The test team was composed of two resources, Zach Rowe who provided automated unit test support, and John Karau, who provided user acceptance testing support.
Special Thanks to Rajiv Kadayam, Alfred Kwentua, Chris Gotcu, and Jared Greene.
eGlobaltech Inc.
eGlobalTech (eGT) is a woman-owned management consulting and IT solutions firm based in Arlington, Virginia. Our IT solutions practice is based upon agile methodologies, which we have used to rapidly deploy solutions at HHS, FEMA, USCIS, and USAID. We have proven repeatable success in applying Agile Scrum methodology and Agile engineering techniques with cloud and traditional environments.
Disclaimer
Adverse event reports submitted to FDA do not undergo extensive validation or verification. Therefore, a causal relationship cannot be established between product and reactions listed in a report. While a suspected relationship may exist, it is not medically validated and should not be the sole source of information for clinical decision making or other assumptions about the safety or efficacy of a product.