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Patient 360

🌐 Website Page: View Patient 360 on xy.ai →

Overview

The Patient 360 Agent continuously builds and updates a unified, rich patient profile by retrieving new data from EHRs, practice-management systems, lab outputs, and external portals. It creates a comprehensive, real-time view of each patient by aggregating information from multiple sources, ensuring that care teams always have access to the most complete and up-to-date patient information.

Capabilities

  • Continuous data aggregation from multiple healthcare systems
  • Real-time patient profile updates as new information becomes available
  • Cross-system data reconciliation and deduplication
  • Historical data tracking and trend analysis
  • Integration with EHRs, practice management systems, labs, and external portals

Key Benefits

  • Unified Patient View - Single source of truth for all patient information across systems.
  • Real-Time Updates - Automatically refreshes patient profiles as new data arrives.
  • Comprehensive Data - Combines clinical, administrative, and financial data into one profile.
  • Improved Care Coordination - Enables better care decisions with complete patient context.
  • Reduced Data Silos - Breaks down barriers between different systems and departments.
  • Enhanced Patient Experience - Staff have immediate access to all relevant patient information.

Inputs

  • EHR Data - Clinical records, visit history, diagnoses, medications
  • Practice Management Data - Appointments, demographics, insurance information
  • Lab Results - Test results, lab reports, diagnostic imaging
  • External Portal Data - Patient portal submissions, external referrals
  • Billing Data - Claims history, payment information, insurance details

Outputs

  • Unified Patient Profiles - Comprehensive patient records with all aggregated data
  • Data Quality Reports - Identifies missing information, inconsistencies, or data gaps
  • Update Notifications - Alerts when significant new patient information is available
  • Trend Analysis - Historical views and patterns in patient data over time