How is readmission risk scored?

Each discharge is scored using a predictive model (LACE+ or HOSPITAL) incorporating diagnosis, comorbidities, prior hospital use, and social determinants. High-risk patients are flagged for post-discharge follow-up within 48 hours.

A care gap is a recommended preventive service or chronic disease management activity that a patient is due for but hasn't received. The platform generates outreach lists for care coordinators to schedule the missing service.

How does the platform get clinical data?

Data ingests from HL7 FHIR API feeds from EHR systems, daily claims files from payers, lab result feeds, and pharmacy dispense data. These normalize into a unified patient longitudinal record for analysis.

Healthcare & Wellness

Build a Healthcare Analytics Platform with AI - in Hours

ProjectCode generates a complete, production-ready Healthcare Analytics Platform from a single natural language prompt. In hours instead of months, you get a React frontend, NestJS REST API, PostgreSQL database, and authentication - fully integrated, live-previewed, and deployed to a URL you own.

Estimated build time: 2–4 hours

Build my Healthcare Analytics now View pricing

Free to start · No credit card required

The Challenge

Why building a Healthcare Analytics from scratch is hard

Building a Healthcare Analytics Platform from scratch requires months of development time and significant engineering resources. Teams struggle to coordinate frontend, backend, database, and authentication while managing healthcare analytics-specific business logic, integrations, and role-based access rules.

What's Included

Everything your Healthcare Analytics needs

ProjectCode generates a production-ready Healthcare Analytics with all the modules your team needs from day one.

Clinical data aggregation from EHR and billing systems

Patient population health dashboards

Disease prevalence and outcome tracking

Quality measure reporting (HEDIS, CMS Stars)

Readmission risk scoring with early warning flags

Care gap analysis and outreach list generation

Cost and utilization analytics

Value-based care contract performance tracking

Architecture

How it's built

The generated Healthcare Analytics follows production-grade architecture patterns.

React 18 + TypeScript frontend with role-based dashboards tailored for healthcare analytics workflows

NestJS REST API with dedicated healthcare analytics modules, DTOs, validators, and service layer

PostgreSQL relational schema with normalized tables for all healthcare analytics entities

JWT + Google OAuth authentication with granular permission gates per role

Real-time Socket.IO events for live healthcare analytics status updates and notifications

Managed hosting with one-click deploy, custom domain, and auto-SSL

Database

PostgreSQL schema designed for Healthcare Analytics

ProjectCode generates a normalized, indexed PostgreSQL schema with the right tables and relationships for your use case. You own the schema and can evolve it freely.

patients (id, mrn, dob, gender, payer, conditions jsonb, medications jsonb, risk_score, workspace_id)
encounters (id, patient_id, type, date, provider_id, diagnoses jsonb, procedures jsonb, cost)
quality_measures (id, measure_id, patient_id, period, numerator, denominator, met)
risk_scores (id, patient_id, model, score, tier, contributing_factors jsonb, calculated_at)

schema.sql (preview)

-- Generated by ProjectCode
-- Healthcare Analytics Platform schema

CREATE TABLE patients__id (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  created_at TIMESTAMPTZ DEFAULT NOW(),
  updated_at TIMESTAMPTZ DEFAULT NOW()
  -- ... auto-generated columns
);

CREATE TABLE encounters__id (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  created_at TIMESTAMPTZ DEFAULT NOW(),
  updated_at TIMESTAMPTZ DEFAULT NOW()
  -- ... auto-generated columns
);

CREATE TABLE quality_measures__id (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  created_at TIMESTAMPTZ DEFAULT NOW(),
  updated_at TIMESTAMPTZ DEFAULT NOW()
  -- ... auto-generated columns
);

CREATE TABLE risk_scores__id (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  created_at TIMESTAMPTZ DEFAULT NOW(),
  updated_at TIMESTAMPTZ DEFAULT NOW()
  -- ... auto-generated columns
);

Tech Stack

Production-ready from day one

Every generated app uses a battle-tested stack you can deploy anywhere and own completely.

Frontend

React 18 + TypeScript + Tailwind CSS

Backend

NestJS 10 + Node.js + TypeScript

Database

PostgreSQL (managed or Supabase)

Auth

Email OTP · Google OAuth · GitHub OAuth

Deployment

Managed hosting · Custom domain · Auto-SSL

AI Models

Claude Sonnet · Claude Opus · Kimi

Try It Now

Example prompt to get started

Copy this prompt into ProjectCode and get a working app in minutes.

ProjectCode prompt

Build a healthcare analytics platform for an ACO managing 100,000 attributed lives. Include population health dashboards by risk tier and chronic condition, automated HEDIS measure calculation, readmission risk scores with daily high-risk patient lists for care managers, care gap identification, ER and inpatient utilization analytics, and value-based care performance tracking against CMS benchmarks.

Build this now - it's free

Deployment

Deploy your Healthcare Analytics anywhere

Managed hosting

One-click deploy to a live URL managed by ProjectCode.

Custom domain

Connect your own domain with auto-provisioned SSL via Cloudflare.

GitHub export

Push to your GitHub repo and self-host or deploy via Vercel, Railway, or AWS.

Docker ready

Export a Dockerfile and docker-compose for any containerized environment.

Pricing

Start free, scale as you grow

No per-seat fees. No vendor lock-in. Token-based pricing that scales with your usage.

Free

Start building your first app. Live preview, managed hosting, and full code export included.

Token Packs

From $5

Purchase token packs that roll over every month. Build more, pay only for what you use.

Enterprise

Custom

Custom models, SLA, SSO, and private cloud deployment for large teams.

See full pricing details

FAQ

Common questions about building a Healthcare Analytics

HEDIS measures are standardized quality metrics evaluating care quality: percentage of diabetics with controlled A1c, cancer screening rates, blood pressure control. High scores affect reimbursement under value-based contracts.

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Build your Healthcare Analytics in hours, not months

Start free. No credit card. Your first app is live in minutes.

Get started free