Every minute spent on administrative work is a minute not spent with patients. Every delayed clinical decision is a risk. We've built AI systems that help clinicians make better decisions faster, engage patients between visits, and cut the overhead that slows healthcare down. HIPAA compliance isn't an afterthought—it's the foundation.
We help healthcare organizations improve clinical decision-making, unify fragmented patient data, accelerate telemedicine adoption, and increase patient engagement. Our solutions integrate with existing EHRs and are built on HIPAA-compliant, FedRAMP-authorized infrastructure.
Decision support systems exist. Clinicians ignore most of them. Why? They slow work down or they're wrong often enough that trust erodes. We've built systems that integrate into existing workflows, surface high-confidence recommendations at the right moment, and explain reasoning clearly. One health system saw clinicians adopt recommendations on 65% of cases where the system's confidence was high—and those recommendations improved outcomes measurably.
Your EHR, practice management, imaging system, and lab platform all exist in silos. Patient history is fragmented. Clinicians get incomplete pictures. We've built integrations that unify patient data without creating security vulnerabilities. HL7, FHIR, and proprietary formats all feed into a unified, queryable patient record. Clinicians see the full context.
You launched a telemedicine platform. Usage tanked because it was clunky, slow, or didn't actually reduce friction compared to phone calls. We've built end-to-end telemedicine systems—video, asynchronous messaging, prescription delivery, follow-up scheduling—that patients and providers both want to use. One urgent care network increased telehealth utilization from 8% to 34% of visits within 4 months.
Reminder apps and generic health tips don't change behavior. We've built personalized engagement systems that send the right message at the right time—medication reminders tied to pharmacy fills, preventive care nudges based on clinical guidelines, condition-specific education tuned to individual literacy and preference. Medication adherence improved 23% at one client.
One health system was losing 15% of scheduled appointments to no-shows, creating gaps in the schedule and delaying care for others. We built a model that predicted high-risk no-shows 48 hours before the appointment using historical attendance, condition severity, transportation barriers, and weather. Automated outreach—calls, texts, logistics support—reduced no-shows by 8 percentage points. Revenue impact: $2.1M annually from improved utilization.
Sepsis kills 1 in 5 patients. Early recognition is everything. A hospital deployed our system that monitors vital signs, lab values, and medications in real-time, flagging sepsis risk within the first 6 hours of admission. Clinicians review the alert, and if they agree, sepsis protocols activate immediately. Result: average time to antibiotics decreased from 2.8 hours to 1.1 hours. Mortality rates improved significantly.
Discharging high-risk patients created readmission problems. Low-risk patients in the hospital were tying up beds. We built a risk model that identified patients who could be safely managed at home with remote monitoring—vitals via wearable, asynchronous provider check-ins via app, medication adherence monitoring. Readmission rates for monitored patients dropped 19%. Hospital bed utilization improved.
UrgentCareX (our product) powers triage and throughput optimization. Patients report symptoms through an app. Our system estimates acuity, recommends wait time expectations, and routes them to the right provider type. We also forecast demand by hour and day, so staffing matches expected volume. Wait times dropped 34% without hiring more staff.
Organizational management system with mental wellness focus
Environmental monitoring platform with health analytics
HIPAA compliance is baked into the architecture. Data is encrypted at rest and in transit. Access is role-based and logged. Infrastructure is deployed on FedRAMP-authorized cloud with regular security audits. Your legal team reviews our compliance documentation before deployment.
Absolutely. The system is a decision support tool, not an autonomous decision-maker. Clinicians see the recommendation, understand the reasoning, and decide whether to act. The system learns from their feedback to improve future recommendations.
Consent is explicit and granular. Patients understand what data is used and for what purposes. We build consent management into the system so preferences are enforced automatically. You control which patient groups opt into features like predictive monitoring.
All predictions are logged with their reasoning and actual outcomes. We monitor model performance in production and retrain when drift is detected. We also run regular audits to identify potential biases, especially across different patient populations.
We'll review your clinical workflows, data infrastructure, and compliance requirements. Then we'll show you where AI creates the biggest impact without disrupting how you work.