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Fellowship program

Candidates

Program Benefits

The AIDH Fellowship by Training Program is a unique and prestigious opportunity for PhD candidates within digital health and health informatics.

There are many benefits of joining the program. Candidates will:

  • Maintain their membership of AIDH and be exposed to leadership opportunities
  • Obtain industry work experience allowing you to build a portfolio of work
  • Create a career pathway and future job network
  • Receive payment for two work placements – each placement is 6 month full time or 12 months part time
  • Join a cohort of other health informatics PhD candidates
  • Have an opportunity to develop their leadership skills
  • Receive AIDH Fellow status upon successful completion of the program

The Program

The FbT program involves three key experiences and programs of learning.

  • PhD – a health informatics research doctoral program at an Australasian university (typically three years)
  • Work Placements – two paid health informatics six-month work placements
  • Supplementary learning – including participation in journal clubs, masterclasses and an annual colloquium

On completion of the Fellowship Program candidates will hold a PhD, have a portfolio of work and established industry contacts, and will be awarded Fellowship by the Australasian Institute of Digital Health.

“The Fellowship by Training program is Australia’s ‘slingshot’ program for emerging health informatics leaders. Only high achieving PhD candidates studying digital health are selected into the program. The coursework challenges thinking, develops learning and facilitates exposure which benefits ourselves professionally, and the communities we are trying to help with advancing digital technologies. The wide perspective on health and care afforded to me during my work placement was immensely maturing from a professional development point of view. I look forward to graduating to Fellowship status with the Institute soon!”

Dr Leanna Woods
Research Fellow, The University of Queensland

List of Graduates

Tobias Hodgson

Tobias Hodgson

NSW

Evaluation of speech recognition use for electronic health record based clinical documentation

Dr Leanna Woods

Dr Leanna Woods

NSW

The co-design of a mHealth application to support heart failure self-management

Candidates applications

The FbT Program is currently at capacity. There will be an announcement in AIDH news and on our social media when applications open again.

Eligibility

Candidates are eligible to apply to the Fellowship by Training Program if they meet the below criteria:

  1. PhD Student
    • Enrolled in a research health informatics PhD
    • Candidates can apply at any stage of their PhD; applications will be accepted up to 12 months after a PhD has been awarded
    • The PhD topic must analyse or expand knowledge about the use of information and communication technologies within health and/or biomedical informatics and healthcare
  2. Citizenship
    • AU or NZ citizen or permanent resident; or right to work in AU or NZ
  3. AIDH Membership
    • Be an AIDH member prior to application

Selection Criteria

Candidate applications will be reviewed according to the following selection criteria:

  • A research topic relevant to the field of digital health or health informatics
  • A commitment to, and interest in, advancing the profession of health informatics through relevant work and or academic activity
  • A willingness to adhere to the AIDH Professional Code of Conduct
  • Where competition for Fellowship by Training positions exist, preference will be given to projects and placements involving Fellows of the Institute

List of Candidates

Candidates are listed in the State/Country in which they reside; however, some may be able to relocate for work placements. If you are a host organisation looking for a candidate we recommend you review all candidates.

Reem Abbas

Reem Abbas

🇳🇿 NZ

Cross-agency communication and information exchange in disaster healthcare

Saba Akbar

Saba Akbar

NSW

Automation in nursing decision support systems: Evaluating effects on risk identification and nurses’ decision making

Rebeccah Bartlett

Rebeccah Bartlett

ACT

Utilising mHealth to improve sexual and reproductive health access and knowledge within refugee settings

Ikee Dimaguila

Ikee Dimaguila

VIC

Person-generated health data: Measuring effects on patients

Dr Mohamed Khalifa

Dr Mohamed Khalifa

NSW

Developing an evidence based framework for grading and assessment of predictive tools for clinical decision support

Dr David Lyell

Dr David Lyell

NSW

Automation Bias in Electronic Prescribing: The effects of over-reliance on clinical decision support on errors, cognitive load and verification

Chris Lynch

Chris Lynch

VIC

The effectiveness of wearable technology to change physical activity behaviour of cancer survivors

Dr Daniel Peyton

Dr Daniel Peyton

VIC

Epic behaviour – eHealth parenting intervention for challenging behaviour

Saswata Ray

Saswata Ray

🇳🇿 NZ

How social media influences food decisions for young adults (18-25yrs) in New Zealand

Dr Shiva Sharif Bidabadi

Dr Shiva Sharif Bidabadi

NSW

Human gait model development for objective analysis of pre/post gait characteristics following lumbar spine surgery

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