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Intelligent Patient Portal

A HIPAA-compliant engagement platform serving 15,000+ patients, featuring AI-powered symptom triage, secure messaging, and automated appointment scheduling for a multi-location healthcare network.

Next.jsNode.jsHIPAA CompliantOpenAI APIAWSPostgreSQL
15k+
Active Patients
30%
Reduction in Calls
24/7
Symptom Triage
<3min
Booking Time

The Challenge

A growing healthcare provider with 3 clinics was struggling with an overwhelmed call center and a fragmented patient experience. Their legacy EHR interface was mobile-unfriendly, leading to valid frustrations. Key challenges included:

  • Mobile Accessibility: Lack of a responsive interface for patients to access records on the go.
  • Admin Overload: Staff spending 30+ hours/week manually clarifying symptoms and scheduling standard check-ups.
  • Security Risks: Relying on unencrypted email and SMS for patient communication.
  • Data Silos: Disconnected formatting between lab results, prescriptions, and appointment history.

Client Profile

Industry
Healthcare / Medical Practice
Scale
3 Clinics, 20+ Providers
User Base
15,000+ Registered Patients
Project Duration
16 weeks
Compliance Level
Strict HIPAA & SOC 2 Type II

Our Solution

AI Symptom Triage

Integrated an LLM-powered chatbot that safely collects patient symptoms, gauges urgency level, and routes them to the correct appointment type or emergency care.

Smart Scheduling

Real-time sync with provider calendars allowing patients to self-book, reschedule, or cancel, drastically reducing no-show rates via automated SMS reminders.

Secure Engagement

Built a secure messaging center with end-to-end encryption for lab results delivery and doctor-patient communication, fully compliant with HIPAA standards.

Technical Architecture

System Components

Next.js Frontend

Responsive web app deployed on Vercel with strict CSP and edge authentication

EHR Integration Layer

Custom middleware syncing data with Epic/Cerner via HL7 FHIR standards

AI Triage Engine

Sanitized prompt engineering with OpenAI API to classify symptom acuity

Security Core

AWS KMS for encryption at rest, BAA-covered infrastructure, MFA enforcement

Real-time Messaging

WebSocket connections for instant doctor-patient chat and notifications

Observability

Full audit logging of all data access events using CloudTrail and Datadog

Key Technologies

Next.js 14
TypeScript
Node.js
AWS (HIPAA)
PostgreSQL
Redis
OpenAI API
HL7 FHIR
TailwindCSS
Auth0
Docker
Terraform

Results & Impact

Patient Experience

85% adoption rate
Patients shifted from phone booking to app within 6 months
4.8/5 App Store Rating
Significantly higher than industry average (2.5)
30% reduction in no-shows
Due to automated SMS/Email reminders
24/7 Access
Patients can triage symptoms and book anytime

Operational Efficiency

30% reduction in call volume
Freed up front-desk staff for in-person care
Streamlined Intake
Digital forms completed before arrival saved 15m per visit
Paperless Lab Results
Saved $15k/year in mailing costs and materials
Zero Compliance Breaches
Passed rigorous 3rd party penetration testing
"The improved patient access has changed our practice. We used to drown in phone calls every Monday morning. Now, patients book their own slots, arrive with forms filled out, and are seen faster. It's a win for everyone."
- Medical Director, Urgent Care Network

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