PhD opportunity: using big data to research adverse drug reactions

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White terrier dog sat on examination table

Train in the fields of big health data analysis, epidemiology and if you wish machine learning and computer science, as part of this novel and exciting project aimed at improving the health of UK pets through better detection of adverse drug reactions.

During this PhD project you will use SAVSNET to identify ADRs suffered by patients in general practice. You will be supported as you learn skills in the developing fields of pharmacovigilance, big data analysis and epidemiology. You will gain considerable practical experience with this skill set as you work toward the main aims of the project, which are to:

  1. Use big data analytic 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 due to 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.