Thatsmine provides an AI‑native platform that aggregates patient metabolic data—including results from its proprietary multi‑omic MINE Test—and automatically generates payer‑ready clinical documentation. By automating data ingestion, analysis, and claim‑ready report creation, the solution streamlines the revenue cycle for metabolic health clinics and related providers, reducing manual effort and accelerating reimbursement.
Funding
Funding not disclosed
Founders
Product
Problem
Metabolic healthcare providers often struggle with fragmented patient data and time‑intensive documentation required for insurance reimbursement, leading to delayed payments and administrative overhead.
Solution
Thatsmine offers an AI‑native platform that aggregates patient metabolic data—including results from its proprietary multi‑omic laboratory‑developed test—processes the information with machine‑learning models, and generates payer‑ready clinical documentation automatically. The system streamlines the revenue cycle by reducing manual charting, ensuring documentation aligns with insurer criteria, and accelerating claim submission. Built by physicians, the platform integrates directly into clinical workflows, allowing providers to focus on patient care while maintaining compliance and billing accuracy.
Target Audience
Primary customers are metabolic health clinics, specialty laboratories, and healthcare organizations that manage chronic metabolic conditions and require efficient billing and documentation processes.
Features
- Automated ingestion of diverse metabolic data sources (lab results, imaging, patient-reported metrics)
- Proprietary multi‑omic LDT (The MINE Test) delivering clinically validated biomarkers of metabolic function
- AI-driven analysis that interprets data and produces structured, payer‑compliant reports
- One‑click generation of claim‑ready documentation aligned with insurer coding standards
- Seamless integration with electronic health record systems via standard APIs
- Continuous updates informed by medical experts to reflect evolving reimbursement guidelines