CORVX
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HealthTech
Modernizing Patient Records Systems
Imagine a healthcare journey where technology is invisible and care is central.
Project Overview
Corvx delivered an end-to-end digital health platform for a multi-clinic healthcare institution, replacing fragmented paper-based workflows with a unified Electronic Health Record (EHR) system, AI-powered scheduling, and patient-facing mobile portals. The result: a 40% reduction in administrative overhead and a 30% drop in patient wait times within the first quarter of deployment.
About The Client
The client operates a network of 15 clinics across a major metropolitan area, serving over 200,000 patients annually. Despite strong clinical outcomes, the administrative experience was a bottleneck—patient data lived in siloed systems, appointment booking required phone calls, and clinicians spent nearly 2 hours per day on paperwork instead of patient care.
The Challenges
What stood in the way
01
Fragmented Patient Data
Each clinic maintained its own records system, making it impossible to get a unified view of a patient's history. Referrals between clinics required manual data transfer—often by fax.
02
Scheduling Bottlenecks
Appointment booking was entirely phone-based, leading to long hold times, double-bookings, and a no-show rate exceeding 22%. Staff spent an average of 45 minutes per day resolving scheduling conflicts.
03
Regulatory Compliance Pressure
Upcoming health data regulations required encrypted storage, audit trails, and patient consent management—none of which the existing paper-based systems could support.
Our Solutions
How we solved it
Unified EHR Platform
We built a cloud-native EHR system that consolidated patient records across all 15 clinics into a single source of truth, with role-based access controls and full audit logging for regulatory compliance.
AI-Powered Smart Scheduling
An intelligent scheduling engine that predicts appointment duration based on visit type, auto-fills cancellation slots, and sends personalized reminders via SMS and push notifications. No-show rates dropped from 22% to 7%.
Patient Mobile Portal
A mobile-first portal where patients can book appointments, view lab results, message their care team, and manage prescriptions—available 24/7 without a phone call.
The Results
The platform went live across all 15 clinics in a phased rollout over 4 months. Within one quarter, the institution reported measurable improvements across every operational KPI.
40%
Reduction in Admin Overhead
30%
Drop in Patient Wait Times
7%
No-Show Rate (from 22%)
24/7
Patient Portal Access
Technical Overview
Built with
Cloud & Infrastructure
- Azure (AKS, Cosmos DB, Blob Storage)
- Terraform
- Kubernetes
Backend
- Node.js (NestJS)
- Python (FastAPI)
- HL7 FHIR
- GraphQL
Frontend & Mobile
- React Native
- Next.js
- TypeScript
AI & Analytics
- scikit-learn
- TensorFlow Lite
- Power BI
- Azure ML
Our Approach
Human-Centered, Clinic-by-Clinic Rollout
Phase 1: Discovery & User Research
6 weeksShadowed clinicians and front-desk staff across 5 clinics. Mapped 47 distinct workflows and identified the top 12 pain points.
Phase 2: EHR Core Build
3 monthsBuilt the unified records platform with FHIR-compliant data models, migration scripts for legacy data, and role-based access.
Phase 3: Scheduling & Portal
2 monthsDeveloped the AI scheduling engine and patient mobile portal. Ran a pilot at 3 clinics with 2,000 patients.
Phase 4: Full Rollout & Training
6 weeksDeployed to remaining 12 clinics with on-site training, go-live support, and a dedicated helpdesk for 90 days post-launch.
Core Capabilities
What we brought to the table
Unified EHR
Consolidated patient data across 15 clinics into a single, FHIR-compliant source of truth.
Smart Scheduling
AI-driven appointment management that cut no-show rates from 22% to 7%.
Patient Portals
Mobile-first access for patients to view records, book visits, and message providers—24/7.
The Methodology
Human-Centered Design
We didn't start with a spec—we started with people. Our team shadowed nurses, doctors, and receptionists for three weeks before writing a single line of code. The result was software that fit their workflow, not the other way around.
“
The system has gone above and beyond what we imagined. We can't tell where the vendor ends and our team begins. Our clinicians actually enjoy using it.— Chief Medical Officer
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