Opportunity for text mining analytics researcher
The strategic goal of this project is to improve identification of adverse drug reactions (ADRs) in companion animals. This will lead to enhanced drug safety for veterinary patients and make a significant and lasting positive impact on the health of veterinary species.
The main aim is to build production-level text mining tools to enhance data access by identifying mentions of problems, symptoms and prescriptions and map these to existing clinical coding structures. The project will involve designing, consolidating and implementing both rule-based and data-driven approaches, and their integration within the existing SAVSNET platform.The strategic goal of this project is to improve identification of adverse drug reactions (ADRs) in companion animals. This will lead to enhanced drug safety for veterinary patients and make a significant and lasting positive impact on the health of veterinary species. The main aims are:
1. Use informatics approaches such as free text and data mining of EHRs to identify possible ADRs.
2. Evaluate whether prospective real-time monitoring of EHRs can facilitate faster identification of suspected ADRs related to the use of newly licensed drugs.
3. Investigate factors influencing the spontaneous reporting of suspected ADRs by veterinary surgeons.
4. Assess whether novel features such as embedding ADR reporting tools into the PMS can enhance reporting of suspected ADRs by veterinary surgeons.
5. Investigate whether SAVSNET data can be used to produce incidence data for ADRs to particular medicines.
More information: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=98266
To apply please send your CV and a covering letter to drk@liverpool.ac.uk with a copy to iacdpgr@liverpool.ac.uk
Closing date: 29th August 2018