Trends, transitions, and workforce intentions in Health IT
The digital transformation of healthcare has led to an increasing demand for specialized professionals in the health information technology (IT) sector. However, challenges such as skills shortages, workforce retention, and leadership gaps persist in this evolving field. This study examines the demographic characteristics, career trajectories, and workforce intentions of health IT professionals using data from the 2023 Specialist Digital Health Workforce Census. The analysis explores key factors suchs as age, gender, educational qualifications, professional membership, and career growth opportunities within various health IT professions, including artificial intelligence (AI), cybersecurity, data science, informatics, and more. Results reveal a relatively balanced gender distribution but a workforce with an older age profile, particularly in health informatics and cybersecurity, highlighting concerns about long-term sustainability. Additionally, the majority of respondents lack formal tertiary qualifications, although professional membership rates are high, suggesting the importance of continuous professional development. Workforce intentions indicate a desire for changing working hours, particularly among younger employees and those in health informatics, while established areas like health cybersecurity exhibit more stability. Gender disparities in leadership aspirations and career growth perceptions were also noted. The findings emphasize the need for targeted interventions to attract younger talent, support career development, and address leadership diversity in the health IT sector. This paper provides a foundation for future research and policy development aimed at strengthening the digital health workforce to meet the growing demands of the healthcare industry.
Authors
- Kay Nicol (ORCID: https://orcid.org/0000-0002-6601-8970)
- Salma Arabi (ORCID: https://orcid.org/0000-0001-8243-7166)
- Wei Wang
- Kerryn Butler-Henderson
Institutions
- Charles Sturt University (AU)
Publication Details
- Published
- 2025-09-16
- DOI
- https://doi.org/10.1145/3774816.3774842
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00