HEORACLE orchestrates the entire modeling lifecycle, from concept design to final dissemination, delivering in hours what traditionally takes weeks.
Building a health economic model begins long before any code is written. It starts with the hardest question in outcomes research: what is the right model structure for the decision problem at hand?
HEORACLE handles the full journey: surveying the evidence landscape, designing the model concept, converting it into validated specifications, building dual-track R/Shiny and Excel models, and drafting comprehensive technical reports.
The evidence gathering and synthesis work that normally consumes the first two to three weeks of model development is completed in hours, freeing your team to focus on the design decisions that require genuine expertise.
Specialized AI modules that act as your expert team, driving the entire model development process from strategy to final report.
Conducts parallel evidence gathering across the disease landscape and synthesizes findings into a structured, citation-ready model concept document grounded in your decision problem.
Synthesizes published articles or concept documents into implementation-ready specifications with source attribution, cross-article comparison, and per-article summaries.
Takes an approved specification and autonomously builds two validated models: a fully functional Excel workbook and an interactive R/Shiny application, with built-in sensitivity analyses and quality control.
Reads directly from your completed model and generates a structured technical report with methods documentation, results interpretation, sensitivity analysis figures, and analytical narratives.
Every module is purpose-built for the realities of HEOR, Market Access, and Medical Affairs work.
Evidence gathering and synthesis that used to consume weeks is completed in a fraction of the time.
Every design choice is cited to its evidence source, giving your team a transparent audit trail.
Produces both R/Shiny applications and Excel workbooks from a single validated specification.
AI handles the mechanics; your team stays in control of every structural and methodological decision.
Generates structured technical reports with methods documentation, results, and sensitivity analyses.
Reconciles your uploaded materials against research findings, flagging conflicts and tracking provenance.
Watch each module walk through its complete workflow.
The Architect
The Translator
The Factory
The Analyst