70%
AI-Powered Practice Management System — Clinicians spending 3+ hours/day on charting → 70% reduction in documentation time
We build the platforms providers and patients actually use — engineered for real clinical load, with AI built into the architecture rather than tacked on at the end.
We map the workflows your providers actually do — not how a product manager imagined them — and build automation that removes friction from documentation, scheduling, approvals, and referrals. The goal: your staff stops clicking.
We build custom EMRs from the ground up and integrate with Epic, Cerner, and Athenahealth over HL7/FHIR. No middleware band-aids required.
When we say "based on AI," we mean predictive and prescriptive analytics built on your actual clinical data — not a marketing label bolted onto a rules engine.
Appointment scheduling, care-plan communication, post-discharge follow-up, and telemedicine — all of it ships as one coherent experience.
Claim denials, authorization issues, and coding mistakes don't just create financial inefficiency — they hit patients directly. We build RCM software that closes those gaps.
We build the technical foundations your telehealth programs need to scale — resilient enough to stay up under heavy, real-world pressure.
Dashboards tailored to your leadership — population-health stats, operational bottlenecks, quality indicators — on an architecture that won't crumble when you add 50,000 patients.
Privacy and HIPAA compliance aren't an afterthought delivered later. They guide every decision about data storage, access, transfer, and auditability from day one.
It's rarely the code — it's not understanding the nurse's shift, the physician's charting load, or the billing team's revenue cycle. We've worked in the field for a decade and build in-house, so the software actually gets used.
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Every number below comes from a healthcare product we designed, built, and shipped — measured in production, not projected in a pitch deck.
AI-Powered Practice Management System — Clinicians spending 3+ hours/day on charting → 70% reduction in documentation time
Revenue Cycle Optimization Platform — Claim denial rates above 18% → 98% collection rate achieved
Telemedicine Platform — High patient no-show rates → 45% fewer missed appointments
DICOM Viewer & Radiology Tool — Slow manual image assessment → 83% faster radiologist review
OAT Lifecycle Management — 16-step manual treatment tracking → 88% treatment completion rate
Dental DSO Management System — 25 disconnected clinic locations → Unified under one platform
A portal that gets adopted is built around the people who log in every day — and stays accountable long after launch. Drag, click a card, or use the dots to walk the process end to end.
Every vertical has its own users, workflows, and regulatory load. Here's where we've built portals that got adopted and stayed in use.
The systems healthcare runs on, and why each is built differently. Hover a card to see how the build changes around it.
Interoperability: HL7 v2, FHIR R4, and ONC-compliant interfaces to Epic, Cerner, Athenahealth, and Meditech — bi-directional and genuinely useful, not read-only. Clinical Workflow: charting, orders, and results that fit how clinicians actually document, not a generic form bolted onto your record.
Access & Scheduling: portals and mobile apps for booking, intake, messaging, and results — accessible by design (WCAG 2.1 AA). Adherence & Care: reminders, education, and remote check-ins that raise adherence without raising staff load.
Charge & Coding: charge capture and coding intelligence that cuts the denials a generic workflow creates — calibrated to your payer mix. Claims & PA: claims, eligibility, and prior-authorization workflows that pre-populate from clinical data and track status in-system.
Visits & Consults: HIPAA-compliant video, async consults, and e-prescribing built into the clinical record — not a separate point tool. Remote Monitoring: device and RPM data flowing into the chart, with thresholds and alerts the care team actually trusts.
Quality & MIPS: capture, calculation, and submission infrastructure for the quality measures applicable to your organization. Operational Insight: dashboards on throughput, utilization, and outcomes — built on your data, not projected in a pitch deck.
Standards: HL7 FHIR, CDA, and the 21st Century Cures / CMS Interoperability rules built into the architecture. Migration: what migrates cleanly, what transforms, and what archives — scoped before go-live, not discovered on it.
A "99% accurate" integration means one record in a hundred is wrong. That's why everyone on your project understands the clinical context — and we've already paid for the expensive mistakes so you won't have to.
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Compliance is a design constraint we wire in from day one — not a review step before launch. We build to the standards that govern healthcare data across the regions our clients operate in.
Patient data protected across every region you operate in.
Security and risk controls, independently audited.
The right clinical data in the right place — not just "integrated." Deep, standards-based connections to the systems you already run.
Medical-device-grade quality management, with audit trails, role-based access, and validation engineered into every release rather than bolted on before launch.
Usable by every patient, by design.
Secure billing and payment flows.
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Whether you're replacing a legacy system, building from scratch, or finally integrating systems that have never talked to each other — the first call is a discovery conversation, not a sales pitch.
It depends heavily on scope. A focused patient portal or single-workflow tool can ship in 3–4 months. A full EHR build or enterprise care-management platform is typically 9–18 months. We give you a detailed timeline after discovery — and we stick to it.
Yes. We've worked with Epic, Cerner, Athenahealth, Meditech, and several proprietary systems. HL7 v2, FHIR R4, custom APIs — we handle the integration complexity so your clinical staff doesn't have to work around it.
Compliance is part of our development process, not a final review step. We document data flows, implement appropriate access controls, conduct security reviews each sprint, and deliver a full compliance package at go-live.
Yes. We've deployed AI for clinical documentation, medical coding, diagnostic support, patient risk stratification, and appointment scheduling. We're also realistic about where AI helps and where it creates more problems than it solves. For a wider view of the market, see our guide to the best AI agent development companies.
We don't disappear at go-live. We monitor system performance, respond to issues, and run regular improvement cycles based on how real users are actually using the product. We offer ongoing support and development retainers.