Healthcare AI Development That Reaches Production

Custom Healthcare AI Development
Custom AI platforms built into the clinical workflow they are meant to change, not bolted on beside it.

• Custom AI Platforms: For digital health companies, hospitals and clinics.
• AI EHR Integration: Epic, Cerner, Athenahealth and Allscripts via FHIR R4 and HL7 v2.
• Compliance in the Architecture: HIPAA, SOC 2, ISO 27001. BAA from first contact.
• Workflow Automation: Scoped to named workflows, measured against the process it replaces.

Generative AI in Healthcare
Documentation, summarization and retrieval — grounded in your approved clinical content, never invented.

• Conversational AI: Patient chat and clinician query, scoped to what the model can answer safely.
• Clinical Summarization: Notes and discharge documents as editable drafts. See Smart Discharge Reports.
• Drug Discovery Support: Literature and dataset analysis for R&D teams.
• Knowledge Retrieval: RAG over approved sources, with the citation on every answer.

AI for Remote Patient Monitoring
Turning high-volume device data into signals a care team acts on, in a form the EHR accepts.

• Real-Time Monitoring: Wearable and IoMT capture, normalized into FHIR Observations.
• Anomaly Detection: Tuned to suppress false positives, not just catch outliers.
• Predictive Intervention: Early risk signals for chronic care cohorts.
• Adaptive Care Pathways: Treatment adjustments driven by observed patient data.

AI Virtual Health Assistants
Handling the routine patient contact you cannot staff for, with a defined handoff when a request goes further.

• 24/7 Patient Support: Chat and voice, with identity verification before any PHI is shared.
• Smart Scheduling: Booking, rescheduling and follow-up reminders.
• Telehealth Integration: Connected to the consultation platform you already run.
• Multilingual Assistance: Coverage across the languages your patient population needs.

AI for Personalized Treatment
Treatment recommendations built from the individual patient's data, explainable enough that a physician trusts them.

• Precision Medicine: Genetic, clinical and lifestyle data in one patient view.
• Dynamic Care Plans: Plans that update as new data arrives.
• Tailored Recommendations: Therapy and medication suggestions with the reasoning attached.
• Adherence Support: Prompts timed against actual patient behavior.

Predictive Analytics in Healthcare
Risk stratification and outcome forecasting scored against your own historical data, not a generic benchmark.

• Risk Stratification: Rank patients at risk of readmission or chronic escalation.
• Outcome Forecasting: Recovery trajectories modeled from comparable cohorts.
• Population Health: Cohort analytics for value-based care programs.
• Clinical Dashboards: Separate views for the clinician and the administrator.