implementation-science

Observational dataset of 200 B2B AI deployments in France (2022-2025). Median annual gain of 1.60x investment (159.8%) across 165 deployments in production; 1.27x across the full cohort. Self-published, not peer-reviewed, no independent audit. Reproduction script included. CC BY 4.0.

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

Open-source Human Stability Infrastructure framework for building practical, non-punitive coordination tools across recovery, reentry, behavioral health, housing, workforce, education, and community systems.

A digital health data science prototype exploring how contextual signals may predict walking adherence using simulated data.

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.

Alluvial (Sankey) visualization of ADA diabetes guideline concordance using NHANES data, illustrating treatment gaps across patient risk profiles.

Hannah Ostroff James

A context-aware timing optimization prototype that adapts micro-action prompts based on user feedback, health constraints, and response patterns.

A health data science implementation plan for CYP2C19-guided antiplatelet prescribing in the UAE, covering the data fabric, clinical decision support, and governance.

A responsible AI evaluation prototype assessing simulated health behavior suggestions for safety, feasibility, usability, and personalization.

A digital health prototype for AI-assisted behavior intervention design using transparent, context-aware recommendation logic.

Analyze, visualize, and report Pragmatic Context Assessment Tool (pCAT) data in R.

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

A simple digital health prototype for tracking walking behavior patterns.

Official website of the Intelligent Health Research Lab (IHR Lab) at Temple University's College of Public Health: advancing data-driven public health and equitable clinical solutions through AI, informatics, and implementation science.