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Open-Source Platforms

Platform Products

Six production-grade clinical intelligence platforms, each designed to solve a specific challenge in healthcare delivery, research, and operations.

MindLog Medgnosis Zephyrus Aurora Parthenon MediCosts

MindLog

Active Development — v0.4a

Precision mental health tracking for clinicians and patients.

A HIPAA-compliant mental wellness tracking platform for patients with depression, anxiety, and bipolar disorder. Patients log daily mood, sleep, exercise, medication adherence, triggers, and symptoms via a React Native mobile app. Clinicians monitor cohorts, receive real-time alerts, and generate clinical reports through a web dashboard with validated psychiatric instruments (PHQ-9, GAD-7, ISI, C-SSRS, ASRM, WHODAS).

Core Capabilities

  • Daily mood, sleep, exercise, and medication adherence logging via mobile app
  • Validated psychiatric instruments: PHQ-9, GAD-7, ISI, C-SSRS, ASRM, WHODAS 2.0
  • Clinician dashboard with cohort monitoring and real-time alert system
  • Automated clinical report generation for office visits
  • HIPAA-compliant data encryption at rest and in transit
  • Trigger and symptom pattern analysis with trend visualization

Tech Stack

React Native Next.js 15 TypeScript PostgreSQL Prisma Tailwind CSS HIPAA Compliant Expo

Architecture

  • React Native mobile app (iOS + Android) via Expo
  • Next.js web dashboard for clinicians
  • REST API with role-based access control
  • PostgreSQL with Prisma ORM
Live Demo GitHub

Medgnosis

Production — v1.2

Population health management for value-based care organizations.

A comprehensive population health management platform for medium-to-large healthcare organizations. Tracks patient outcomes, closes care gaps, calculates 48 CMS electronic Clinical Quality Measures (eCQMs), and supports value-based care through risk stratification, cohort analysis, and quality reporting. Built as a TypeScript monorepo with a hybrid Inmon/Kimball data warehouse architecture.

Core Capabilities

  • 48 CMS electronic Clinical Quality Measures (eCQM) calculation engine
  • Risk stratification with HCC and CMS-HCC v28 models
  • Care gap identification and closure tracking workflows
  • Cohort analysis with drill-down by provider, condition, and payer
  • Value-based care contract performance dashboards
  • Hybrid Inmon/Kimball data warehouse for analytics at scale

Tech Stack

Next.js 15 TypeScript PostgreSQL Inertia.js Laravel 11 Tailwind CSS Monorepo Redis

Architecture

  • TypeScript monorepo with shared packages
  • Hybrid Inmon/Kimball data warehouse
  • eCQM calculation engine with CQL support
  • Role-based access with audit logging
Live Demo GitHub

Zephyrus

Production — v2.0

Real-time healthcare operations intelligence for hospital systems.

An advanced healthcare operations platform providing real-time analytics and process improvement tools across Emergency Department management, Real-Time Demand & Capacity (RTDC), perioperative management, and nursing operations. Designed to eliminate ED wait times, optimize OR utilization, and drive data-driven care decisions.

Core Capabilities

  • Emergency Department real-time tracking and throughput optimization
  • Real-Time Demand & Capacity (RTDC) modeling and predictions
  • Perioperative management with OR utilization dashboards
  • Nursing operations and staffing analytics
  • Patient flow visualization with bottleneck identification
  • Predictive analytics for census, admissions, and discharges

Tech Stack

Next.js 15 TypeScript PostgreSQL Laravel 11 Inertia.js Tailwind CSS WebSockets Redis

Architecture

  • Real-time WebSocket event streaming
  • Multi-module dashboard (ED, OR, Nursing, RTDC)
  • Predictive models for demand forecasting
  • Event-driven microservice architecture
Live Demo GitHub

Aurora

Active Development — v0.8

Collaborative care coordination for multidisciplinary teams.

A clinical collaboration platform enabling synchronous and asynchronous coordination among multidisciplinary care teams. Features real-time video conferencing, collaborative care planning whiteboards, threaded case discussions, clinical decision support integration, and comprehensive audit logging.

Core Capabilities

  • Real-time video conferencing with screen sharing for care team huddles
  • Collaborative care planning whiteboards with drag-and-drop problem lists
  • Threaded case discussions with @mentions and notification routing
  • Clinical decision support integration with evidence-based guidelines
  • Comprehensive audit logging for regulatory compliance
  • Secure messaging with end-to-end encryption and message retention policies

Tech Stack

Next.js 15 TypeScript PostgreSQL WebRTC WebSockets Tailwind CSS E2E Encryption Redis

Architecture

  • WebRTC for peer-to-peer video conferencing
  • Real-time messaging via WebSocket channels
  • Collaborative whiteboard with CRDT sync
  • Immutable audit log with tamper detection
Live Demo GitHub

Parthenon

Open Source — v1.0

Enterprise OHDSI deployment made simple.

A customized, production-hardened distribution of the OHDSI Broadsea ecosystem for Ubuntu pre-production environments. Enables academic research centers and health systems to deploy the full OHDSI application stack with streamlined configuration. Includes ATLAS, WebAPI, HADES, Achilles, DataQualityDashboard, and a Python-based configurator for rapid environment setup.

Core Capabilities

  • One-command deployment of the full OHDSI Broadsea stack
  • ATLAS for cohort definition, characterization, and incidence rate analysis
  • Achilles database characterization and Data Quality Dashboard
  • HADES R package environment for population-level estimation studies
  • Python-based configurator for rapid environment customization
  • Production-hardened Docker Compose orchestration with SSL and backups

Tech Stack

Docker Python PostgreSQL R / HADES OHDSI Broadsea Ubuntu Nginx OMOP CDM v5.4

OHDSI Applications

  • ATLAS — Cohort definitions and study design
  • Achilles — Database characterization
  • DataQualityDashboard — CDM validation
  • HADES — R analytics packages
Live Demo GitHub

MediCosts

Open Source — GPL v3

Geographic healthcare cost intelligence for policy and planning.

An interactive data visualization platform for comparing hospital inpatient costs and Medicare spend geographically across the United States. Explores the 50 most expensive DRGs by ZIP code, state, and provider. Designed for health policy researchers, administrators, and consumers seeking transparency in healthcare pricing.

Core Capabilities

  • Interactive choropleth maps of Medicare inpatient costs by geography
  • Top 50 most expensive DRG analysis with drill-down by provider
  • ZIP code, state, and hospital-level cost comparisons
  • Provider charge vs. Medicare reimbursement gap analysis
  • Trend visualization of cost changes over reporting periods
  • Exportable datasets for health policy research and academic analysis

Tech Stack

Next.js 15 TypeScript PostgreSQL D3.js Mapbox GL Tailwind CSS GPL v3 CMS Open Data

Data Sources

  • CMS Medicare Provider Utilization & Payment Data
  • Geographic mapping with Mapbox GL JS
  • D3.js interactive charts and visualizations
  • CSV/JSON export for research use
Live Demo GitHub

Interested in a platform demo?

All platforms are open source and available for evaluation. Contact us for a guided walkthrough, deployment consultation, or partnership inquiry.

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