Back

SHAPE AI: Development and Expert Validation of a Survey for Human AI Performance Evaluation in Healthcare

2026-01-21 health informatics Title + abstract only
View on medRxiv
Show abstract

ObjectiveTo develop and content-validate a brief, expert-informed Survey for Human-AI Performance Evaluation (SHAPE-AI) for near-real-time assessment of how clinical AI affects human performance. BackgroundAI-enabled clinical decision support can improve outcomes only when aligned with clinician workflows, and cognitive demands. Existing evaluations measure technical performance and adoption, providing limited assessment of how AI shapes human performance. There is a lack of concise, operationa...

Predicted journal destinations

1
Journal of the American Medical Informatics Association
53 training papers
Top 1% 14.2%
2
PLOS Digital Health
88 training papers
Top 0.9% 10.7%
3
Journal of Medical Internet Research
81 training papers
Top 1% 8.8%
4
npj Digital Medicine
85 training papers
Top 2% 7.6%
5
BMJ Open
553 training papers
Top 27% 6.2%
6
JAMIA Open
35 training papers
Top 2% 6.2%
7
JAMA Network Open
125 training papers
Top 1% 6.2%
8
BMC Medical Informatics and Decision Making
36 training papers
Top 2% 6.2%
9
PLOS ONE
1737 training papers
Top 78% 5.8%
10
JMIR Medical Informatics
16 training papers
Top 0.6% 3.5%
11
Frontiers in Public Health
135 training papers
Top 11% 2.7%
12
International Journal of Medical Informatics
25 training papers
Top 3% 2.1%
13
Frontiers in Digital Health
18 training papers
Top 0.3% 1.9%
14
Journal of Biomedical Informatics
37 training papers
Top 5% 1.9%
15
JMIR Formative Research
31 training papers
Top 1% 1.9%
16
BMC Medical Research Methodology
41 training papers
Top 3% 1.5%
17
Scientific Reports
701 training papers
Top 87% 1.5%
18
JMIR Public Health and Surveillance
45 training papers
Top 6% 0.9%
19
Critical Care Explorations
15 training papers
Top 2% 0.7%
20
Nature Medicine
88 training papers
Top 19% 0.7%
21
JMIR Research Protocols
18 training papers
Top 2% 0.7%
22
The Lancet Digital Health
25 training papers
Top 2% 0.7%