• Corpus ID: 74526159

Big data and pharmacovigilance: Using health information exchanges to revolutionize drug safety

@article{Abbott2013BigDA,
  title={Big data and pharmacovigilance: Using health information exchanges to revolutionize drug safety},
  author={Ryan B. Abbott},
  journal={Social Science Research Network},
  year={2013}
}
  • Ryan B. Abbott
  • Published 8 April 2013
  • Medicine
  • Social Science Research Network
Data on individual patients collected through state and federal health information exchanges has the potential to usher in a new era of drug regulation. These exchanges, produced by recent health care reform legislation, will amass an unprecedented amount of clinical information on drug usage, demographic variables, and patient outcomes. This information could aid the Food and Drug Administration ("FDA") with post-market drug surveillance because it more accurately reflects clinical practice… 
Using ‘big data’ to validate claims made in the pharmaceutical approval process
TLDR
Big Data can support a research agenda that focuses on the process of claims validation to support formulary submissions as well as inputs to ongoing disease area and therapeutic class reviews.
Healthy Predictions? Questions for Data Analytics in Health Care
The Patient Protection and Affordable Care Act (“Affordable Care Act” or ACA), health information technology (HIT) adoption, and increasing implementation of electronic medical records, are all
Big Data and Health Care: Challenges and Opportunities for Coordinated Policy Development in the EU
TLDR
This work identifies initiatives aimed at promoting the use of big data in European Union (EU) health care, highlight expected challenges, and use these to evaluate EU big data policy developments to the extent that they are able to advance health sector priorities.
Redefining Medical Necessity: A Consumer-Driven Solution to the U.S. Health Care Crisis
The American health care system is plagued by high costs and poor public health outcomes, due in part to the overuse of costly diagnostic tests and treatments. In 2009, the Institute of Medicine
The Sentinel Initiative as a Cultural Commons
This case study applies the knowledge commons research framework to the U.S. Food and Drug Administration’s (FDA) Sentinel Initiative. That initiative resulted in the creation of the Sentinel System
Combining big data search analytics and the FDA Adverse Event Reporting System database to detect a potential safety signal of mirtazapine abuse
TLDR
The results suggest a positive correlation between abuse-related searches in the Google domain and abuse- related events in FDA Adverse Event Reporting System database, indicating that these methods can be used in combination with each other as a pharmacovigilance supplementary tool to detect drug safety signals.
Big Data Application in Biomedical Research and Health Care: A Literature Review
TLDR
The recent progress and breakthroughs of big data applications in these health-care domains are reviewed and the challenges, gaps, and opportunities to improve and advance bigData applications in health care are summarized.
Capabilities for Big Data: An Empirical Study in a Global Pharmaceutical Company
The increasing availability of large quantities of digital data (Big Data) and advanced analytic tools is driving many industries to change their practices. Currently there are limited theoretically
Data Veracity of Patients and Health Consumers Reported Adverse Drug Reactions on Twitter: Key Linguistic Features, Twitter Variables, and Association Rules
TLDR
An opportunity of developing machine learning models for automatic screening of ADRs from Twitter using identified key linguistic features, Twitter variables, and association rules is suggested.
...
1
2
...