1 / 14

Database Design for Clinical Trial

Database Design for Clinical Trial. [1,2]. Xiaoqing He & Gilsinia Lopez. Goals. Build an essential online resource for tracking side effects of $1 trillion worth of prescription meds sold around the world Applications for both healthcare professionals and patients

kevlyn
Télécharger la présentation

Database Design for Clinical Trial

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Database Design for Clinical Trial [1,2] Xiaoqing He & Gilsinia Lopez

  2. Goals • Build an essential online resource for tracking side effects of $1 trillion worth of prescription meds sold around the world • Applications for both healthcare professionals and patients • Increase transparency throughout the healthcare and pharmaceutical industries

  3. Current status • 75 % data capture – paper based • Data inconsistencies • Data Entry error • Only 10 percent of data are reported Solution Electronic data capture – eCRF

  4. Problems with eCRF • Incomplete • Filled with misspelling • Misclassification • Out of date

  5. Adverse Events Inc. (RxFilter ™) • RxFilter – 17 step data normalization process • Normalizes the FDA’s adverse events reports into a single report, and standardizes the data for improved accuracy of adverse drug event information

  6. Achievements and Claims of Adverse Events Inc. • Lamictal and Keppra, which are classified as may be “as dangerous to a fetus as drugs currently listed” should be placed in a more risky category • measure medication side effects and ensure high quality standards to protect patient safety • supports companies with competitive intelligence and data to inform drug marketing decisions and business development strategies.

  7. Relationship With Course • Relevant to chapters of Conceptual modeling and Relational Database Design • Data collecting, Standardizes and Normalizes the data • Basic of Functional Dependencies and Normalization

  8. Reference [1]Luke Timmerman,Biotech, Startups, IT, Sep. 2011, http://www.xconomy.com/san-francisco/2011/09/27/adverseevents-com-seeks-to-keep-track-of-drug-side-effects-the-way-the-fda-never-could/ [2]Business Wire, Sep. 2011, http://www.businesswire.com/news/home/20110926005053/en/AdverseEvents-Launches-Innovative-Comparative-Drug-Side-Effect [3]Picture 3-6is fromhttp://adverseevents.com/drugdetail.php?AEDrugID=807&BrandName=LIPITOR [4]Picture 1 is from http://www.drofdetox.com/overview-of-clinical-trial/ [5]Picture 2 is from http://www.ecrf.biz.pl/about_en.htm

More Related