AI-powered platform reducing surgical wait times through personalized pre-op optimization, integrating with hospital EMR systems to cut delays by 23% based on clinical trials.
PrehabOptim addresses the $3.2B global prehab market by combining machine learning with clinical protocols. This HIPAA-compliant platform helps hospitals optimize elective surgery outcomes through data-driven exercise/diet plans while streamlining provider workflows – demonstrated to reduce post-op complications by 18% in early trials.
Core Functionality
- AI analysis of EMR data for risk prediction
- Personalized patient exercise/diet regimens
- Real-time compliance tracking via mobile interface
- Automated surgical team reporting system
Target Users
- Primary: Hospital systems with 200+ bed capacity
- Secondary: Ambulatory surgery centers
- End-users: Patients aged 45+ undergoing orthopedic procedures
Tech Stack
- TensorFlow ML models on AWS HealthLake
- FHIR/HL7 integration layer
- React Native patient app + clinician dashboard
- AES-256 encryption for PHI security
MVP Costs
€48k-€61k development budget:
- 220h AI training (€22k)
- 150h EMR integration (€15k)
- 100h patient interface (€10k)
SWOT Analysis
- Strengths: Clinical efficacy data, CMS reimbursement eligibility
- Weaknesses: 6-9 month hospital sales cycles
- Opportunities: Expansion to cardiac prehab programs
- Threats: Epic/Cerner developing competing modules
Customer Acquisition
- Target 14k HIMSS-member hospital executives
- €75 CPA LinkedIn campaigns
- Co-marketing with physical therapy networks
- 7% conversion rate to hit 1k users
Monetization
- €2,800/month hospital license + €15/patient
- Breakeven at 36 hospital contracts
- 3-person clinical support team required
Market Positioning
- Differentiated via predictive compliance scoring
- Focus on DACH region’s €460M market
- Microniche: Obesity-related joint replacements
