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  • Welcome to your QMS
  • Quality Manual
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  • Legit.Health Plus Version 1.1.0.0
    • Index of Technical Documentation or Product File
    • Summary of Technical Documentation (STED)
    • Description and specifications
    • R-TF-001-007 Declaration of conformity
    • GSPR
    • Clinical
    • Design and development
    • Design History File
      • Requirements
        • PRS
        • Deprecated Software Requirement Specification (SRS)
        • Software Requirement Specification (SRS)
          • SRS-001: Generate Automatic PASI (APASI) severity analysis report for single zone
          • SRS-002: Generate Automatic SCORAD (ASCORAD) severity analysis report for single zone
          • SRS-003: Generate Automatic Urticaria Activity Score (AUAS) report for single zone
          • SRS-004: Generate Automatic GPPGA (AGPPGA) report for single zone
          • SRS-005: Generate Automatic IHS4 (AIHS4) report for single zone
          • SRS-006: Generate ALADIN Score report for single zone
          • SRS-007: Generate Automatic VASI (AVASI) report for single zone
          • SRS-008: Generate Automatic AWOSI report for single zone
          • SRS-009: Generate Automatic NSIL report for single zone
          • SRS-010: Generate Automatic SALT (ASALT) report for single zone
          • SRS-011: Generate Automatic EASI (AEASI) report for single zone
          • SRS-012: Orchestrate severity analysis workflow
          • SRS-013 Generate an aggregated ICD probability distribution from image set
          • SRS-014 Generate per-image ICD analysis with explainability heat map
          • SRS-015 Generate an unified report of ICD class distributions
          • SRS-016: Include model sensitivity in report
          • SRS-017: Include model specificity in report
          • SRS-018: Include entropy score in report
          • SRS-019: Include the indicator of having a condition in the report
          • SRS-020: Include the indicator of the image presenting a pigmented lesion in the report
          • SRS-021: Include the indicator of malignancy in the report
          • SRS-022: Include the indicator of needing an urgent referral in the report
          • SRS-023: Include the indicator of needing a high priority referral in the report
          • SRS-024 The product validates the image with the AI LABS's Dermatological Image Quality Assessment (DIQA) algorithm
          • SRS-025 The product validates the image's clinical domain
          • SRS-026 The product classifies the image's modality
          • SRS-027 The product provides a final image validity summary
          • SRS-028: Orchestrate diagnosis support workflow
          • SRS-029: Compute 7-Point Checklist (7PC) Score
          • SRS-030: Compute Dermatology Life Quality Index (DLQI) Score
          • SRS-031: Compute PURE-4 Score
          • SRS-032: Compute Urticaria Control Test (UCT) Score
          • SRS-033: Calculate Global Acne Grading System (GAGS) Score
          • SRS-034: Calculate RESVECH Score
          • SRS-035: Calculate SCOVID Score
          • SRS-036: Calculate Physician's Global Assessment (PGA) Score
          • SRS-037: Generate Global Automatic VASI (AVASI) Score for Full Body
          • SRS-038: Secure Communication Protocol Enforcement
          • SRS-039: Network Service Exposure
          • SRS-040: URL-Based API Versioning
          • SRS-041: Concurrent API Version Support
          • SRS-042: JSON Data Interchange Format
          • SRS-043: Endpoint Implementation
          • SRS-044: Deterministic Response Schemas
          • SRS-045: Performance and Latency
          • SRS-046: Standard HTTP Status Code Usage
          • SRS-047: Endpoint Access Control
          • SRS-048: API Documentation Endpoint
          • SRS-049: High Availability and Load Balancing Support
          • SRS-050: Provision of Client SDKs for Integration
          • SRS-051: API Rate Limiting
          • SRS-052: Request Body Size Limitation
          • SRS-053: Provision of Clinical Parameter Endpoints
          • SRS-054: API Health Check Endpoint
        • missing-documents
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      • REL-001 Version 1.1.0.0
    • IFU and label
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  • Legit.Health Plus Version 1.1.0.1
  • Licenses and accreditations
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  • Legit.Health Plus Version 1.1.0.0
  • Design History File
  • Requirements
  • Software Requirement Specification (SRS)
  • SRS-012: Orchestrate severity analysis workflow

SRS-012: Orchestrate severity analysis workflow

Identifier​

SRS-012

Software System​

  • Orchestrator

Category​

  • Functional

Description​

Upon receiving a severity analysis request via the API, the system shall orchestrate the end-to-end processing workflow. The system shall perform the following integrated actions:

  1. Parse Request: The system shall parse the incoming request to identify the specified assessment type (e.g., APASI, ASCORAD, AEASI) and the associated input data.
  2. Invoke Processors: The system shall sequentially invoke the required processors to handle the request.
  • First, it shall execute pre-processing processors responsible for image adequacy assessment (PRS-003) and input validation (PRS-004).
  • Upon successful pre-processing, it shall call the appropriate AI analysis processor based on the assessment type to generate raw clinical data.
  1. Aggregate Data: The system shall aggregate the raw data returned from all executed processors.
  2. Invoke Report Builder: The system shall pass the aggregated data to the Report Builder microservice to assemble the final, structured clinical report as defined in the relevant software requirements (e.g., SRS-003, SRS-004).
  3. Return Response: The system shall return the final, structured report as the response to the initial API request.

Derived from PRS​

  • PRS-002: Measure severity by combining image analysis and user-reported symptoms in scoring systems
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SRS-013 Generate an aggregated ICD probability distribution from image set
  • Identifier
  • Software System
  • Category
  • Description
  • Derived from PRS
All the information contained in this QMS is confidential. The recipient agrees not to transmit or reproduce the information, neither by himself nor by third parties, through whichever means, without obtaining the prior written permission of Legit.Health (AI LABS GROUP S.L.)