RSM Automates Patient Message Triage for Healthcare Providers

RSM Product Sales LLC developed a proof-of-concept solution to automate the triage and categorization of patient messages for healthcare organizations. Healthcare staff are often overwhelmed by the volume of messages, ranging from appointment requests to clinical questions, leading to slow response times and administrative fatigue. The solution uses Azure OpenAI for categorizing and summarizing patient messages based on urgency and type. It automates the assignment and routing of messages to the appropriate personnel, increasing operational efficiency and improving response times for patients. Confidentiality is ensured via Azure cloud services, integrating seamlessly with existing systems while maintaining data privacy and security. The implementation is carried out in phases including planning, environment setup, solution customization, and ongoing model optimization. This approach minimizes workflow disruption and adapts to organization-specific requirements. The expected outcomes include streamlined patient-staff communication, reduced administrative burdens, higher job satisfaction among staff, and measurable improvements in healthcare delivery quality.

Organization
RSM
Industry
Healthcare
Published
July 2025

Reported outcomes

Strategic outcomes

New product / capabilityAutomated patient message triage and routingCustomer experience & trustImproved patient responsiveness and communicationCost efficiencyReduced administrative burdenRisk & complianceStrengthened data privacy and security

Primary read

Use case focus

Showing 2 of 2

  • 1Automated Patient Message Categorization and Triage
  • 2Healthcare Staff Communication Automation
  • High administrative workload due to manual message handling.
  • Slow patient response times and communication bottlenecks.
  • Risk of misdirected or overlooked patient messages.
  • Data privacy and security concerns in digital communications.
  • Developed an automated system for message triage and categorization using Azure OpenAI.
  • Adaptive AI models summarize, categorize, and route messages by urgency and type.
  • Integration with healthcare organizations' existing systems using Azure Cloud Services.
  • Robust data security and privacy compliance by leveraging Azure infrastructure.
Technologies
  • Streamlined communication between patients and staff.
  • Reduced administrative burden and increased staff productivity.
  • Improved responsiveness and patient experience.
  • Potential improvement in staff job satisfaction through workload reduction.
Sources & evidence1
Groundedness: Unavailable

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