MicroPort \China

Step 2 - Hospital Pilot and Real-World Evidence Engine (Traction): Expand to a full hospital pilot with 10-15 interventional cardiologists performing 1000+ PCI procedures annually. Integrate with the hospital's PACS and EHR systems to automatically ingest imaging and patient data, provide real-time recommendations in the cath lab via tablet interface, and track 30-day outcomes (MACE, target lesion revascularization, bleeding events). Build the real-world evidence pipeline: anonymize and structure case data, link to outcomes, and generate quarterly reports showing complication rates, cost per case, and length of stay compared to hospital benchmarks. Approach 2-3 stent manufacturers (Abbott, Boston Scientific, Medtronic) with a value proposition: pay $1000 per case for structured real-world evidence that can support FDA post-market surveillance requirements and next-generation device development. Goal is to sign one device manufacturer partnership generating $50K-100K in revenue and demonstrate ROI to the hospital through reduced complications. Timeline: 6-9 months, cost $400K (4 engineers, 1 clinical affairs lead, hospital integration, sales). Success metric: Hospital renews annual contract at $100K-150K, one device manufacturer commits to 12-month evidence generation partnership.

Step 3 - Multi-Site Expansion and Surgical Specialties (Growth): Scale to 10-15 hospital systems across the US, targeting high-volume cardiac surgery centers performing 2000+ interventional procedures annually. Expand beyond PCI to transcatheter aortic valve replacement (TAVR), structural heart interventions, and electrophysiology (pacemaker/ICD implants). Build specialty-specific AI models for each procedure type, leveraging transfer learning from the PCI foundation. Launch a self-service onboarding flow where hospitals can connect their EHR and PACS systems via HL7/FHIR APIs, configure procedure types, and start receiving recommendations within 2-4 weeks. Introduce tiered pricing: $75K annually for single-specialty access, $150K for multi-specialty, $250K for enterprise with custom model training. Expand device manufacturer partnerships to 5-7 companies, generating $500K-1M in per-case evidence fees. Build a clinical advisory board of 10-15 key opinion leaders who evangelize the platform at medical conferences. Goal is to reach $3M-5M ARR with 40-50% gross margins (cloud costs, data labeling, clinical support). Timeline: 12-18 months, cost $2M (12 engineers, 3 clinical affairs, 2 sales, 1 customer success). Success metric: 15 hospital systems under contract, 5000+ procedures per month flowing through the platform, 2-3 peer-reviewed publications showing outcome improvements.

Step 4 - Data Moat and Platform Expansion (Dominance): With 50K+ procedures and outcomes data across multiple specialties, SurgeonOS becomes the largest real-world evidence platform in cardiovascular and structural heart interventions. Launch a data licensing business where pharma companies, medtech startups, and academic researchers pay $100K-500K annually for access to anonymized, structured datasets for R&D and regulatory submissions. Introduce predictive models for patient risk stratification, complication forecasting, and device selection optimization that are trained on proprietary data and cannot be replicated by competitors. Expand into adjacent surgical specialties: orthopedic joint replacement (partner with Stryker, Zimmer Biomet on implant sizing and alignment), neurosurgery (aneurysm coiling, tumor resection planning), and general surgery (bariatric, colorectal). Build an AI-powered clinical trial recruitment engine that identifies eligible patients from the hospital network and accelerates device manufacturer R&D timelines by 30-40%. Introduce a patient-facing mobile app for post-operative monitoring, symptom tracking, and telemedicine follow-ups, creating a closed-loop system from pre-op planning to long-term outcomes. Goal is to reach $20M-30M ARR with 60%+ gross margins and become the default surgical intelligence platform for top 100 US hospital systems. Timeline: 18-24 months, cost $8M (25 engineers, 8 clinical affairs, 5 sales, 3 customer success, 2 data scientists). Success metric: 50+ hospital systems, 200K+ procedures annually, $5M+ in data licensing revenue, acquisition interest from Epic, Medtronic, or Intuitive Surgical at $200M+ valuation.