Healthcare AI Development Company

We develop and document Software as a Medical Device to FDA and MDR expectations, with model versioning and audit trails built in.

• IEC 62304 lifecycle documentation
• 510(k) submission support
• Model versioning and audit trails
• Clinical validation protocols

Clinical documentation and NLP

NLP models turn clinician dictation and free-text notes into structured records, so documentation time drops and charts stay complete.

• Ambient dictation to structured notes
• SNOMED CT and LOINC mapping
• Note completeness checks
• EHR write-back via FHIR

Predictive patient outcome analytics

Predictive models score readmission risk, sepsis onset, deterioration, and no-show likelihood from live data, so care teams act early.

• Readmission risk scoring
• Sepsis and deterioration alerts
• No-show prediction models
• Cohort and risk dashboards

Clinical decision support systems

Decision support surfaces evidence-based recommendations inside the clinician workflow and checks orders against guidelines in real time.

• Guideline-based order checking
• Drug interaction alerts
• CDS Hooks integration
• Alert fatigue tuning

AI agents handle triage, booking, reminders, and follow-up over chat and voice, then hand the case to staff when a human is needed.

• Symptom triage flows
• Appointment booking and reminders
• Medication adherence follow-up
• Escalation rules to staff

Streaming models watch vitals from wearables and home devices, flagging early signs of decline and alerting clinicians between visits.

• Wearable and home device ingestion
• Vitals trend detection
• Early deterioration alerts
• Clinician alert routing

Models read clinical notes and assign ICD-10 and CPT codes automatically, so claim denials drop and reimbursement reaches you faster.

• ICD-10 and CPT assignment
• Documentation gap flagging
• Claim denial prediction
• Coder review queue