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Chorus CareFlow Documentation

website·Indexed 30 days ago

https://docs.choruscareflow.com/

Documentation for the Chorus platform, a healthcare solution focused on Remote Patient Monitoring (RPM) and billing integrity. Includes technical architecture details on HAPI FHIR JPA and FHIR Release 4 (R4) compliance, event-driven billing logic for CPT codes, and trust and compliance guides covering HIPAA, AWS Cognito authentication, and AI governance.

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What's inside Chorus

  1. Overview of Chorus Security-First Architecture

    Chorus employs a security-first architecture where security and compliance are embedded directly into the system design rather than added as external layers. The platform is built to handle sensitive clinical data for remote patient monitoring, utilizing secure infrastructure, FHIR-native data modeling, and governance controls to ensure patient information is protected and system activity is verifiable for healthcare organizations in regulated environments.

  2. Overview of Chorus Clinical Traceability for RPM Billing

    Chorus provides structured documentation linked to FHIR resources to create claim-ready, auditable physiological and encounter histories for Remote Patient Monitoring (RPM) programs. It does not replace existing billing systems but ensures that the data used for reimbursement is defensible and traceable.

  3. Overview of the Dynamo Application Framework

    Dynamo is the core application framework for the Chorus platform, built using Java Spring Boot. It provides a modular foundation designed for reliability and accelerated development in healthcare environments. Key integrated modules include:

    • Authentication: Secure, invite-based access powered by Cognito and OAuth 2.0.
    • Communication: HIPAA-ready real-time messaging (Chat) and virtual meeting sessions with secure access links.
    • AI Capabilities: AI-driven ECG insights (Explainable AI), automated meeting notes, and actionable follow-ups.
    • Clinical Tools: InsightIQ for real-time clinical insights, unified appointment scheduling (Calendar), and integrated learning modules (Course).
    • Process Automation: BPMN-based automation for healthcare workflows ranging from onboarding to billing.

  4. Overview of Chorus Clinical Intelligence Platform

    Chorus is a clinical orchestration platform designed to convert high volumes of wearable and remote monitoring data into actionable insights. It transforms traditional Remote Patient Monitoring (RPM) into clinical intelligence by applying machine learning models to standardized FHIR data and mapping biosignals to organ-system insights. The platform focuses on four key transitions: shifting from reactive review to proactive orchestration, providing clinical context (cardiovascular, renal, and metabolic) instead of isolated data streams, replacing manual workflows with agentic automation for risk classification and action triggering, and ensuring revenue integrity by tracing clinical interactions to structured resources for compliant billing.

  5. Overview of the Chorus ML Risk Classification Engine

    The Chorus ML Risk Classification Engine uses machine learning models to identify potential patient risk signals by analyzing patterns across multiple physiological measurements. Unlike simple threshold alerts, the engine evaluates trends and irregularities across various biosignals to detect subtle changes in patient health status. These classifications are then surfaced to clinicians for review and validation.

    Supported biosignals for evaluation include:

    • ECG waveform irregularities
    • Blood pressure variability
    • Oxygen saturation changes
    • Blood glucose trends
    • Weight fluctuations and fluid retention indicators

  6. Overview of Chorus patient monitoring and data processing

    Chorus reduces clinician workload by transforming raw biosignals into actionable information using a FHIR-native data architecture, machine learning-based signal analysis, and structured clinical workflows. This approach prevents data overload by allowing providers to prioritize patients requiring intervention over those with stable readings, utilizing AI-assisted prioritization and explainable insights to support clinical decision-making.

  7. Overview of Chorus Frictionless Engagement for Patients

    Chorus provides a remote care framework designed to be continuous, personalized, and proactive without increasing patient complexity. It removes the need for technical expertise, manual data syncing, or complex smartphone workflows by utilizing cellular-enabled medical devices, FHIR-native data architecture, and AI-assisted monitoring. This allows patients to participate in structured care programs while clinicians maintain full oversight.

  8. Overview of Chorus reliability and disaster recovery mechanisms

    Chorus ensures operational continuity and the protection of critical clinical data in healthcare environments through several reliability mechanisms: redundant infrastructure components, automated data backups, system monitoring and alerting, and defined recovery procedures for service restoration. Data integrity is specifically managed using versioned resource storage and secure backup processes to prevent data loss and maintain uninterrupted monitoring operations.

  9. Overview of Chorus Cloud Infrastructure Capabilities

    The Chorus platform utilizes a cloud-based infrastructure designed for reliability, security, and operational flexibility. It is specifically architected to support continuous monitoring workloads and the dynamic scaling of device data ingestion. Key capabilities include elastic compute resources for scaling, secure network configurations, managed data storage with backup systems, and integrated identity and access management (IAM).

  10. Overview of the Patient Observations Dashboard

    The Patient Observations Dashboard provides patients with structured, understandable summaries of their health data to increase visibility into their health journey without causing clinical overload. Key features include longitudinal trend visualization, clear metric categorization, historical comparison, and simplified clinical indicators. The system is designed so that patients can view their data while clinicians retain the authority to interpret the results.

  11. Overview of Chorus CareFlow Secure Messaging

    Secure messaging in Chorus CareFlow provides a structured communication channel between patients and care teams. It is designed to support care coordination and billing integrity by ensuring all communication events are traceable and linked directly to clinical workflows. Key capabilities include two-way communication, care follow-up documentation, engagement time tracking, and structured conversation logging.

  12. Overview of AWS Cognito Authentication in Chorus

    Chorus utilizes AWS Cognito as its identity management system to secure platform access. This framework provides secure user authentication, token-based access management, session validation, and the enforcement of password and identity policies, enabling healthcare organizations to maintain scalable and secure access control for clinical teams.