AI Telemedicine Software Development Services

AI telemedicine development costs vary by complexity. Basic MVPs with video consultation range from $50,000 to $100,000. Full-featured platforms with AI triage and EHR integration cost $150,000 to $300,000. Enterprise solutions with advanced analytics range from $300,000 to $500,000. Contact us for detailed estimates.

Timeline depends on scope and complexity. MVPs with core telemedicine features take 8-12 weeks. Comprehensive platforms with AI capabilities and EHR integration require 4-8 months. Enterprise deployments with complex integrations may extend to 12-18 months. We recommend starting with MVP for faster validation.

HIPAA compliance is built into every development phase. We implement AES-256 encryption, role-based access controls, and comprehensive audit logging. Our team maintains HIPAA certifications and executes BAAs with all clients. Regular security assessments and penetration testing validate compliance throughout development.

We use GPT-4, Claude, and LangChain for conversational AI and chatbots. TensorFlow, PyTorch, and Scikit-learn power predictive analytics. Medical NLP models handle clinical documentation. Computer vision architectures analyze medical imaging. RAG implementations ground responses in your clinical knowledge base.

Yes, EHR integration is a core capability. We integrate with Epic, Cerner, Allscripts, athenahealth, and NextGen using HL7 and FHIR interfaces. Bidirectional data exchange ensures patient information, documentation, orders, and results flow seamlessly between your telemedicine platform and clinical systems.

We provide comprehensive post-launch support, including 24/7 monitoring, incident response, security updates, and performance optimization. For AI features, we offer model monitoring and retraining services. Tiered support packages range from basic maintenance to fully managed services with dedicated resources.

Our differentiation comes from 15+ years of healthcare AI expertise and 500+ successful projects. We understand clinical workflows, regulatory requirements, and deployment challenges. Compliance and security are prioritized from project initiation. We focus on clinical outcomes and user adoption, not just features.

Yes, we develop for iOS, Android, and web platforms. We offer native development for maximum performance and cross-platform options using React Native or Flutter. Mobile solutions include offline capabilities, push notifications, and HealthKit/Google Fit integration while maintaining HIPAA compliance.

We implement RAG to ground AI responses in your clinical knowledge base. Human-in-the-loop workflows ensure clinician review before patient care decisions. Accuracy thresholds and monitoring detect performance degradation. Regular retraining maintains accuracy. Clinical experts validate outputs against medical standards.

We implement defense-in-depth security with AES-256 encryption, TLS 1.3, and multi-factor authentication. Role-based access controls limit data exposure. Network security includes firewalls and intrusion detection. We deploy to HIPAA-eligible cloud infrastructure with BAAs and conduct regular penetration testing.

We support AI solutions requiring FDA oversight as Software as a Medical Device. Our team understands FDA guidance for clinical decision support. We implement quality management practices, maintain design history files, and assist with 510(k) submission preparation including predicate device identification.

Schedule a free consultation to discuss your objectives, technology environment, and timeline. We provide preliminary scope assessment and recommendations. After discovery phase documentation, we deliver formal proposals with estimates. Many clients start with MVP approaches to validate assumptions quickly.