Policy type and policy audience do not differ significantly by program delivery mode in CAHIIM HI/HIM programs¶

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Fisher's exact tests showed no significant association between delivery mode (Any Online vs Campus Only) and policy type (P = .85) or policy audience (P = .71). → Eldredge C 2026

Evidence¶

Eldredge C 2026¶

Eldredge C, Dolezel D, Jones J, Vooppala N, Bronsburg SE. (2026). Institutional approaches to artificial intelligence policy and guidance in health informatics and information management education: emerging trends and inconsistencies. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocag150

q2 · i? · associational · r1

Quantitative analysis of 40 policy documents using Fisher's exact tests due to small contingency table cell counts; the article reports "no significant association between delivery mode ... and policy type (P = .85) or policy audience (P = .71)." No effect size was printed.

"Fisher’s exact tests for association showed no significant association between delivery mode (“Any Online,” “Campus Only”) and policy type (P = .85) or policy audience (P = .71)."

Discussion¶

Related Claims¶

• Most CAHIIM-accredited HI/HIM master's programs (40 of 48, 83%) have at least one publicly available AI-related document, and most documents are guidance rather than formal policy — related
• Academic integrity terms dominate HI/HIM AI policy content while healthcare regulatory references (HIPAA, FERPA, IRB) appear infrequently — related
• LDA topic modeling of HI/HIM AI policy documents identifies four dominant themes: academic integrity, generative AI use, AI in research, and ChatGPT engagement — related
• Equitable-access and digital-inclusion themes are minimally represented in HI/HIM AI policies — related