Uol Redeployees Only Postdoctoral Research

3 weeks ago


Liverpool, United Kingdom University of Liverpool Full time

DynAIRx (AIs for dynamic prescribing optimisation and care integration in multimorbidity) is a collaborative study involving researchers across Universities of Liverpool, Leeds, Manchester and Glasgow with the ultimate aim to improve medication reviews happening in primary care.- DynAIRx aims to develop new, easy to use, artificial intelligence (AI) tools that support GPs and pharmacists to find patients living with multimorbidity (two or more long-term health conditions) who might be offered a better combination of medicines.- We will focus on three groups of people at high risk of rapidly worsening health from multimorbidity:
- 1. Older people with frailty.- 2. People with mental and physical health problems.- 3. Other people with four or more long-term health conditions taking ten or more drugs.- Multimorbidity is becoming commoner as the population becomes older and people with long-term health conditions live longer. Currently, people with multimorbidity are treated separately for each condition and prescribed different drugs, each to treat one condition. Taking multiple medicines, or polypharmacy, increases the likelihood of serious side effects.- GPs and pharmacists are encouraged to reduce the number of people taking potentially harmful combinations of drugs. However, there is no easy way of predicting which patients are most likely to benefit from a medication review and prioritising them. The review team is then faced with gathering and making sense of information from records held in different places and piecing the information together to see how the patient¿s conditions and treatments changed over time.-
- You should have a PHD or be about to obtain a PHD in Data Science, or another related field. Any applicants who are still awaiting their PhD to be awarded should be aware that if successful, they will be appointed at grade 6, spine point 30. Upon written confirmation that they have been successful in being awarded their PhD, they will be moved onto grade 7, spine point 31 from the date of their award.- The post is available until 31 March 2025 with hybrid/flexible working. When on Campus the role will be based in the Digital Innovation Facility.



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