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Bridging Communication Gaps in Multidisciplinary Care with AI

  • Healthcare
  • 5 Min Read

Executive Summary

Multidisciplinary team (MDT) treatment planning is vital yet often delayed due to fragmented communication and data silos. This white paper outlines how Bridge Global implemented an AI-powered MDT collaboration platform for a fictional healthcare provider, Grand Lakes Health System.

The solution unified clinical data (via DICOM, HL7, FHIR), applied AI for decision support and NLP-based data extraction, automated scheduling, and enabled real-time video collaboration. Post-implementation, treatment decisions accelerated by 50%, communication gaps closed, administrative burden dropped, and compliance with HIPAA/GDPR was ensured. The result: faster, data-driven care decisions, improved operational efficiency, and better patient outcomes through an intelligent, AI-integrated healthcare communication platform.

27%

of malpractice cases stem from communication failures

70%+

of US sentinel events involve poor communication

30%

of OR team exchanges have communication breakdowns

The Fix, in a Nutshell

  1. Centralized workflows for faster, data-driven treatment
  2. Secure data exchange compliant with DICOM, HL7, and FHIR
  3. AI insights optimize care coordination

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