Data readiness
Clean, reconcile, and structure healthcare datasets so analysis starts from a documented, reviewable foundation.
Healthcare analytics · Biostatistics consulting · Billionmatrix.com
Clear statistical answers for complex healthcare data.
Billion Matrix Consulting LLC helps healthcare organizations turn clinical, operational, and research data into defensible analysis, readable reports, and decisions teams can trust.
analysis matrix
v1.0
Readmission risk model
0.82
AUC · cross-validated
95% CI
1.12 - 1.46
reproducible
privacy-aware
documented
Healthcare data analysis
Clinical, operational, claims, registry, and research datasets.
Biostatistics consulting
Study questions, statistical plans, modeling, and interpretation.
Decision-ready delivery
Plain-language summaries, tables, figures, and reproducible notes.
Services
Statistical support from raw data to executive-ready results.
Statistical analysis
Descriptive statistics, regression, survival analysis, subgroup review, outcomes analysis, and interpretable modeling.
Reports and research support
Analysis plans, tables, figures, methods language, and stakeholder-ready summaries for clinical and business audiences.
Dashboards and reporting workflows
Practical data products that keep recurring metrics consistent, auditable, and easier for teams to maintain.
Healthcare teams we support
Built for organizations where data has clinical and operational consequences.
Billion Matrix works best with teams that need a statistics partner who can ask careful questions, document assumptions, and translate analysis into decisions without burying the audience in jargon.
Digital health companies
Medical operations teams
Clinics and provider groups
Research and quality teams
Health technology startups
Medical device and care programs
Consulting process
A calm path through messy healthcare questions.
Define the question
Clarify the decision, population, endpoint, constraints, and what a useful answer must show.
Prepare the data
Review fields, missingness, outliers, cohort logic, and assumptions before modeling begins.
Analyze and validate
Apply appropriate statistical methods, sensitivity checks, and readable quality controls.
Deliver decisions
Package results into tables, figures, summaries, and next-step recommendations.
Privacy-aware workflow
Analysis that can be explained, reviewed, and repeated.
Documented assumptions. Methods, inclusion criteria, and transformations are written clearly enough for another reviewer to follow.
Reproducible outputs. Tables, figures, and summaries are built from traceable analysis workflows instead of one-off spreadsheet edits.
Privacy-aware handling. Workflows are designed around minimum necessary access, careful file handling, and practical healthcare data safeguards.
Contact
Bring a healthcare data question. Leave with a statistical plan.
For project inquiries, consulting availability, or early scoping, contact Billion Matrix Consulting LLC.