Advanced Data Science and Software Ecosystems for Rigorous Health Innovation.
Outcome Project empowers healthcare leaders, public health authorities, and researchers to eliminate methodology failures and accelerate validated, real-world impact. We secure structural scientific validity through: • Elite Epidemiological Services for advanced causal inference and surveillance. • Automated Protocol Tools to streamline and validate study design. • Advanced Training to master real-world health data science.
The Comprehensive Ecosystem for Observational & Clinical Research
An integrated development environment for research validity.
- Academy: Master data science, AI, and statistics for real-world health solutions.
- Peer: Your AI-Powered Health Data Science Tutor for expert answers and guidance.
- SPDE: The AI-Powered Study Protocol Development Environment to design and draft study protocols.
- Research Tools: A suite of specialized tools to assist in study design, analysis, and reporting.
The Financial Planning & Analysis Platform
An intelligent, Financial Planning & Analysis Platform that empowers you to master your financial destiny
- Core Financials & Data Management: Build a solid financial foundation with professional-grade bookkeeping, secure bank connections via Plaid, and a smart CSV importer.
- AI-Powered Planning & Insights: Leverage AI to analyze spending, generate financial forecasts, set budgets, and get answers from a context-aware financial assistant.
- Financial Reporting: Generate essential reports like P&L Statements and Balance Sheets, and create pro forma projections to visualize your financial future.
- Security & Collaboration: Protect your data with multi-factor authentication and collaborate securely with stakeholders using virtual data rooms.
Epidemiology & Causal Inference Services
We provide specialized epidemiological services to support public health decision-making, from emergency response to rigorous causal inference from observational data
- Target Trial Emulation (TTE): Enhance causal inference from observational data by emulating a target trial to minimize bias and provide robust, evidence-based conclusions.
- Epidemiological Surveillance: Implement continuous, systematic collection, analysis, and interpretation of health-data essential for public health practices.
- CASPER Rapid Needs Assessment: Conduct household-level assessments to provide rapid, reliable data for decision-making during public health emergencies.