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Assessing Artificial Intelligence Literacy: What do Health Information Professionals Know about AI?
Diane Dolezel1, Elize Lambert1, Valerie Watzlaf2
1Health Informatics and Information Management Texas State University.
Advances in Health Information Science and Practice
|December 3, 2025
Summary
Health information professionals show gaps in AI knowledge, particularly in AI modeling and product development. Practical AI experience improves foundational knowledge, highlighting the need for targeted education to meet job market demands.
Area of Science:
- Health Informatics
- Artificial Intelligence Literacy
- Professional Education
Background:
- Previous AI literacy research focused on clinical professionals, using subjective measures.
- This study assesses AI knowledge in health information professionals using both subjective and objective questions.
- Informs the International Federation of Health Information Management Associations (IFHIMA) on member AI literacy and education needs.
Purpose of the Study:
- To evaluate the current state of Artificial Intelligence (AI) literacy among health information professionals.
- To identify specific knowledge gaps and educational requirements within this professional group.
- To guide IFHIMA and national bodies in developing relevant AI training programs.
Main Methods:
- A descriptive survey adapted from existing validated instruments.
- Data collected via a self-administered online survey from December 2024 to February 2025.
- Analysis included Chi-square, ANOVA, and Tukey HSD tests.
Main Results:
- 128 complete responses analyzed; AI knowledge varied by demographics (country, association membership).
- Many professionals reported limited AI experience; practical experience correlated with better foundational AI knowledge.
- Respondents understood AI threats but struggled with AI modeling and product development.
Conclusions:
- A significant gap exists in AI knowledge among health information professionals.
- Educational programs need enhanced AI content to align with job market demands.
- Targeted curriculum development and educator training are crucial for advancing AI literacy.
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