AMOCA: Adaptive Medical Operations and Care Analytics (NextJs)

AMOCA is a comprehensive healthcare platform that leverages advanced analytics, AI-driven insights, and FHIR-compatible data integration to optimize medical operations and improve patient care outcomes.

Core Features

1. Evidence-Based Decision Support

   • Integration with clinical guidelines and research
   • Real-time alerts based on patient data
   • Medication interaction checks and allergy warnings
   • Treatment pathway recommendations based on current medical evidence

2. Predictive Analytics Engine

   • Early detection of patient deterioration
   • Readmission risk prediction
   • Treatment outcome forecasting
   • Resource utilization optimization

3. FHIR-Compatible Data Integration

   • Seamless connection with existing EHR systems
   • Standardized data exchange using FHIR protocols
   • Secure API connectivity for interoperability
   • Real-time data synchronization

4. Comprehensive Patient Data Analysis

   • Problem list integration and analysis
   • Medication management and reconciliation
   • Allergy and intolerance tracking
   • Lab results trend analysis
   • Vital signs monitoring and alerting

5. Demographic-Aware Decision Support

   • Personalized recommendations based on age, gender, ethnicity
   • Social determinants of health integration
   • Language preference accommodation
   • Cultural sensitivity in care recommendations

6. Role-Based Configuration

   • Customizable alert settings for different clinical roles
   • Provider-specific dashboards and interfaces
   • Administrative controls for system-wide settings
   • Specialty-specific decision support modules

7. Validation and Fairness Monitoring

   • Regular performance metric tracking
   • Demographic fairness evaluation
   • External validation process documentation
   • Continuous improvement mechanisms

8. Transparency in AI Decision-Making

   • Clear explanation of recommendation sources
   • Documentation of intervention development
   • Funding and development disclosure
   • Known limitations and cautionary use cases

9. Feedback Collection System

   • User feedback on specific interventions
   • Exportable feedback data for quality improvement
   • Intervention effectiveness tracking
   • User satisfaction metrics

10. Regulatory Compliance

    • Alignment with EHR certification requirements
    • HIPAA-compliant data handling
    • Documentation for clinical decision support interventions
    • Audit trails for regulatory reporting

Getting Started

Before launching the app ensure the following configuration steps have been followed:

• app redirect url
  • on https://app.meldrx.com
  • go to Apps -> your application
  • in the Redirect URLs section
  • add the redirect url http://localhost:{port}/login-callback with the same port as this application, by default it's 3000
• workspace configuration
  • if the workspace is standalone
    • you will want to seed it with a patient that you can select to view in this app.
    • go to https://app.meldrx.com/ccda?sample=sample1
    • copy paste the ccda xml in to a new file such as ccda.xml
    • go to Workspaces -> your workspace -> Patients -> click on Import Data
    • select the ccda.xml file
  • if the workspace is linked (to Epic or Cerner etc...)
    • you will want to ignore MeldRx storage, and only use external.
    • go to Workspaces -> your workspace -> Settings -> Data Rules
    • in the Bulk Updates section, fill out the form to:
      • Trigger Action: Read
      • Resource Type: Select All
      • Target: External
      • press Update Rules

Preqrequisites

• NodeJs

App Setup/Installation

• Run npm install

App Configuration

• Open .env
• Replace the NEXT_PUBLIC_MELDRX_CLIENT_ID with the Client Id (aka "MeldRx App Id") of your MeldRx App (Get this from the "My Apps" page)
• Replace the NEXT_PUBLIC_MELDRX_WORKSPACE_URL with the Workspace URL

Run the App

• npm run dev