AWARE is a decision support tool for Avoiding WAste in health REsearch. It allows users to upload studies and assess their value for decision-making. In development.
-
Updated
Mar 11, 2026 - HTML
AWARE is a decision support tool for Avoiding WAste in health REsearch. It allows users to upload studies and assess their value for decision-making. In development.
Clinical decision support for LAI-PrEP bridge period
Hannah Ostroff James
Official AI ROI Dataset (N=200). Longitudinal analysis of B2B AI deployments (2022-2025). Verified 159.8% median ROI. Peer-reviewed methodology for SMEs/ETIs and Fractional CAIOs.
Alluvial (Sankey) visualization of ADA diabetes guideline concordance using NHANES data, illustrating treatment gaps across patient risk profiles.
Hierarchical cluster analysis of AI implementation barriers among K-12 educators (N=189). Person-centered approach reveals 8 distinct constraint profiles with inverse cost-skill relationship (φ=-.246). JASP for statistics, Python for visualization. Published: DOI 10.5281/zenodo.17519099
Immunologically grounded transmission modelling of OPV and IPV strategies for polio control in Papua New Guinea, addressing cVDPV risk, vaccination timing, and policy design in fragile health systems.
Add a description, image, and links to the implementation-science topic page so that developers can more easily learn about it.
To associate your repository with the implementation-science topic, visit your repo's landing page and select "manage topics."