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Patient Catalyst Documentation
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Table of Contents:

  • Patient Tracker User Guide
  • Definitions
    • Patient Pathway TODO
    • First / Subsequent treatment TODO
    • Events on a pathway
    • Patient Pathway Milestones
    • Extraction filters TODO
  • Technical Documentation
    • Deployment Guide for the Pipelines and the Web App
    • PTL contents
    • Audit data schema
    • Event Types Mapping
    • System Administration
    • Diagrams
    • Catalyst Data Pipelines
      • PDMS Scoring Pipeline
      • PDMS pipeline
      • Manual Deployment
      • Scheduled Deployment
      • Bugs
      • Patient Tracker pipeline
      • Manual Deployment
      • Generic Python Library
      • Library Architecture
      • Extraction of data from database
    • Starters
    • API
      • combiners package
      • config module
      • digital_twin package
        • digital_twin.convert_to_states_transitions package
        • digital_twin.enrich_ward_moves package
        • digital_twin.get_admission_reasons package
        • digital_twin.transform_elective_planning package
        • digital_twin.transform_ward_data package
      • ingestors package
      • patient_tracker package
        • patient_tracker.transform_KPI_volume package
        • patient_tracker.transform_PTL package
        • patient_tracker.transform_PTL_statuses package
        • patient_tracker.transform_clinic_codes package
        • patient_tracker.transform_clinician package
        • patient_tracker.transform_event_statuses package
        • patient_tracker.transform_event_type_milestones package
        • patient_tracker.transform_event_types package
        • patient_tracker.transform_events package
          • patient_tracker.transform_events.transform_RTT_other package
          • patient_tracker.transform_events.transform_death package
          • patient_tracker.transform_events.transform_diagnostic package
          • patient_tracker.transform_events.transform_discharged package
          • patient_tracker.transform_events.transform_first_OPA package
          • patient_tracker.transform_events.transform_followup_OPA package
          • patient_tracker.transform_events.transform_orders package
          • patient_tracker.transform_events.transform_pre_appointment package
          • patient_tracker.transform_events.transform_referral package
          • patient_tracker.transform_events.transform_results package
          • patient_tracker.transform_events.transform_treatment package
            • patient_tracker.transform_events.transform_treatment.medicine package
            • patient_tracker.transform_events.transform_treatment.surgery package
            • patient_tracker.transform_events.transform_treatment.therapy package
        • patient_tracker.transform_exclusion_rules package
        • patient_tracker.transform_exclusion_rules_patient_pathway package
        • patient_tracker.transform_logging package
        • patient_tracker.transform_milestones package
        • patient_tracker.transform_pathway package
        • patient_tracker.transform_pathway_stages package
        • patient_tracker.transform_patient_demographics package
        • patient_tracker.transform_patient_pathway package
        • patient_tracker.transform_priority package
        • patient_tracker.transform_referrals_filter package
        • patient_tracker.transform_specialty package
        • patient_tracker.transform_surgical_priority package
      • pdms package
        • pdms.explode_spells package
        • pdms.feature_engineer package
        • pdms.filter_spells package
        • pdms.generate_prediction package
        • pdms.generate_spells package
        • pdms.transform_current_ward_stays package
        • pdms.transform_ews_nervecentre package
        • pdms.transform_nervecenter_features package
        • pdms.transform_past_booked_cases package
        • pdms.transform_patient_arrival_history package
      • table_truncator package
      • utils module
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Catalyst Data Pipelines#

Contents

  • PDMS Scoring Pipeline
  • PDMS pipeline
  • Manual Deployment
  • Scheduled Deployment
  • Bugs
  • Patient Tracker pipeline
  • Manual Deployment
  • Generic Python Library
  • Library Architecture
    • supporting library creation
    • outstanding user stories
  • Extraction of data from database
    • Option 1
    • Option 2
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