HEORACLE orchestrates the entire modeling lifecycle, from concept design to final dissemination. It delivers in hours what traditionally takes weeks, with full traceability, expert oversight, and complete auditability built into every step.
Building a health economic model begins long before any code is written. The hardest question in outcomes research comes first, choosing the model structure that fits 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.
Reporting reads directly from the completed model and produces sensitivity analysis figures alongside the results narrative, in the same visual language analysts already use to communicate cost-effectiveness.
Specialized AI modules that act as your expert team, guiding 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.
evidence graph, illustrative 02 / 09Synthesizes published articles or concept documents into implementation-ready specifications with source attribution, cross-article comparison, and per-article summaries.
article → spec, illustrative 03 / 09Compares several published models against your research question, proposes the best fit as the starting point, and leaves the choice and every change to you.
model comparison, illustrative 04 / 09Takes 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.
dual-track output, illustrative 05 / 09Reads directly from your completed model and generates a structured technical report with methods documentation, results interpretation, sensitivity analysis figures, and analytical narratives.
tornado diagram, illustrative 06 / 09Publishes a global model as a locked version, lets each country adapt its own version within rules set by the global team, and records every version, change and source in the company repository.
model versions, illustrative 07 / 09Reads a published paper or your own specification, builds a deterministic partitioned survival model in R, and asks only what the paper does not say.
survival curves, illustrative 08 / 09Reads a specification and builds an Excel budget impact workbook from it, with every input visible and every change checked as you make it.
workbook, illustrative 09 / 09Reads every formula of an Excel health economic model, builds a map of how it is constructed, and reports structural checks and behavioural tests in one report.
model map, illustrativeEvery 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.