100,000 Procedures Tracked.
AI Driving Smarter Care
Regenexx is the world's largest regenerative orthopedic network — a licensed physician network treating musculoskeletal conditions without surgery. Pinnasys built the AI and data infrastructure turning their patient outcomes registry into a living clinical intelligence platform.
100K+
Procedures tracked in registry
7 in 10
Surgeries avoided per Regenexx protocol
The Problem
Tens of Thousands of Outcomes Sitting in a Registry, Generating No Intelligence
Regenexx had built something rare in medicine: a continuously updated patient outcomes registry spanning over 100,000 orthobiologic procedures across a licensed physician network. Every patient pinged at 1 month, 3 months, 6 months, and annually — producing a dataset of unprecedented depth on regenerative treatment outcomes.
The challenge was that this data existed in raw form. Physicians and patients had no way to query it meaningfully at the point of care — to answer questions like which protocol performs best for a specific condition and patient profile, or how a patient's trajectory compares to similar cases in the registry. The opportunity was to turn that registry into a real-time clinical intelligence layer that improves every decision in the network.
Our Approach
A Clinical Intelligence Layer Built on 15 Years of Real Outcomes
Pinnasys built a structured data pipeline on top of the Regenexx outcomes registry, normalising longitudinal patient records across conditions, procedures, physician sites, and time points into a queryable intelligence layer. The AI matching engine allows physicians to surface comparable patient cohorts from the registry in real time — filtering by condition, severity, protocol, and demographic profile to benchmark expected outcomes for the patient in front of them.
The patient-facing layer uses the same data to give patients an evidence-based picture of what to expect at each recovery milestone — reducing uncertainty, improving adherence, and supporting the informed consent process. Registry data feeds continuously into a protocol performance model that surfaces which Regenexx injectates and approaches are producing the best outcomes for specific condition profiles across the entire licensed network.
Outcomes Registry Intelligence
Structured AI pipeline normalises 100K+ longitudinal procedure records into a queryable layer — making 15 years of real-world outcome data accessible at the point of clinical decision.
Real-Time Cohort Matching
Physicians surface comparable patient cohorts from the registry instantly — filtering by condition, protocol, and profile to benchmark expected recovery trajectories for each individual patient.
Protocol Performance Model
Continuously updated model surfaces which injectates and treatment approaches are producing the best outcomes across specific condition profiles — informing protocol selection with network-wide evidence.
Patient Outcome Transparency
Patients receive evidence-based recovery milestone projections drawn directly from the registry — reducing anxiety, improving protocol adherence, and strengthening the informed consent conversation.
The Clinical Intelligence Platform in Action
The World's Most Tracked Regenerative Network, Now Its Smartest.
100K+
Procedures in the active outcomes registry powering the AI intelligence layer
7 in 10
Orthopedic surgeries that could be avoided using the Regenexx protocol
100+
Licensed physician locations across the Regenexx network contributing outcome data
Real-Time
Cohort benchmarking at the point of care — no research lag between data and clinical decision
Founder, Regenexx — World's Largest Regenerative Orthopedic Network
What Building Regenexx AI Taught Us About Clinical Data Intelligence
Longitudinal Data Is a Different Problem Than Transactional Data
Patient outcomes tracked across multiple time points — before procedure, 1 month, 3 months, annually — required a data normalisation approach fundamentally different from standard healthcare records. Getting the schema right was the prerequisite for every AI capability built on top of it.
Clinicians Trust Evidence, Not Predictions
Black-box AI recommendations have no place at the point of clinical care. Every insight surfaced by the platform is traceable back to real patient cohorts in the registry — making the AI a tool for evidence synthesis, not opaque suggestion.
Patient Transparency Drives Protocol Adherence
Patients who understand their expected recovery trajectory — backed by outcomes from thousands of comparable cases — follow through. Connecting the registry data to patient-facing communication turned a clinical asset into a meaningful driver of treatment compliance and satisfaction.
Building AI for a Healthcare or Clinical Data Platform? Let's Talk
Pinnasys builds production-grade AI for healthcare, clinical research, and medical data platforms — from outcomes registry intelligence and cohort matching to patient-facing clinical communication layers. Book a free consultation to scope what AI can do for your platform.