Research Fellow in Diabetes
Department of General Practice
Melbourne Medical School
Faculty of Medicine, Dentistry and Health Sciences
Salary: $69,148 - $93,830 p.a. (pro rata) plus 9.5% superannuation
This position is primarily to coordinate and manage a research project with a focus on type 2 diabetes in general practice.
The Research Fellow will have experience in mixed methods research, with an interest in diabetes. Primary duties will include project management and support to study investigators, literature searching, conducting and analysing focus groups and interviews with clinicians and people with T2D and liaison with technical staff in early development of clinical decision support tools for use in the general practice consultation.
You will work closely with the investigators from the project, preparing and assembling materials for team meetings, assisting with convening focus groups and scheduling interviews with clinicians and patients, analysis of focus group and interview transcripts and report writing.
Other project activities may include data entry, maintaining efficient and team-effective systems for storage of data in keeping with the Department and University’s requirements for the storage of research data, including privacy and confidentiality requirements. You will be required to coordinate the close communication needed with the project’s stakeholders.
The research project is summarised briefly below.
Personalised care for people with type 2 diabetes: An integrated shared decision making tool embedded in the electronic medical record in general practice. Funded by the RACGP – Diabetes Australia and The Melbourne Networked Society Institute Feb 2018 – January 2019.
This project will use qualitative methods to explore the decision-making processes and approaches that clinicians and patients use when considering what glucose targets they should be aiming for and what treatment intensification measures they will take.
We will draw on expert clinicians and technical expertise in developing a computer based algorithm that draws on data in the patient’s own electronic medical record to produce a decision support tool that can be used by patient and their health professional in a consultation. We will use two cycles of consultation and technical developmental work to get this clinical decision support tool to a prototype stage where it can be tested in a computer simulation lab setting. Our aim is to use co-design and participator approaches to ensure that the tool we develop meets the real needs of people with diabetes and their health professionals.
Close date: 14 Jan 2018
Position Description and Selection Criteria
For information to assist you with compiling short statements to answer the selection criteria, please go to http://about.unimelb.edu.au/careers/search/info/selection-criteria