Mulighed for spændende og lærerigt forskningsår om ortopædkirurgi, opioidforbrug og kunstig intelligens i et samarbejde med Bergen Universitet
We are looking for a bright and talented research year student with a research interest in orthopedic surgery, artificial intelligence, and pharmacoepidemiology. You will work with the following project, scheduled for autumn 2024:
Artificial intelligence model to predict chronic opioid use after hip fracture surgery
In Denmark, approximately 7,000 persons experience a new hip fracture every year. This common injury is associated with a poor prognosis, due to high postoperative mortality and an excessive risk of complications. Hence, hip fracture is a major public health concern in Denmark.
Opioid prescribing is a mainstay in short postoperative pain management among patients undergoing surgery for hip fracture. However, such prescribing has been excessive in recent decades. In Denmark, 17% of preoperative opioid naïve patients are chronic users one year after hip fracture. Chronic opioid use have a negative impact on quality of life, recovery, complications, risk of sustaining new fractures, and survival. It is a complex interplay of individual susceptibilities and different external triggers.
A stratified approach to pain management may improve patient care and safety by identifying groups of patients most at risk of new chronic opioid use to be matched to different treatments and opioid counseling, acknowledging different needs and potential benefit from healthcare professional input. To achieve this, prediction models are necessary. Yet there are currently no prediction models for clinicians to identify patients at high risk of new chronic opioid after hip fracture surgery, which is why contemporary research in this area is highly relevant.
The aim of this population-based research year project is to develop and validate a risk prediction model for new chronic opioid use after hip fracture surgery using advanced artificial intelligence methods.
The Danish health registries, which link extensive and internationally unique information on persons with hip fracture surgery, their comorbidities, prescription medications, and laboratory results, represent an ideal opportunity to investigate this important research question.
Being a research year student at the Department of Clinical Epidemiology
You will become part of a dedicated team of researchers in the Aarhus Research group in Orthopedic Surgery Epidemiology (AROSE) and will be a part of an internationally leading research environment at the Department of Clinical Epidemiology. We focus on clinically relevant research and aim for publications in high impact journals.
You will work closely with other research year and PhD students. The project includes collaboration with Bergen University. It is possible to have a research stay at one of the collaborating universities in Europe.
If you are interested in joining AROSE, please forward a motivated application and CV to Professor Alma B. Pedersen at ABP@clin.au.dk Application deadline: February 28, 2024.