AI-Powered Patient Support and Triage Transformation
Reimagining patient support with an AI agent delivering intelligent triage, 24/7 accessibility, and operational efficiency.
Client
A leading US-based academic medical center and healthcare research institution.
Problem Statement
High volumes of routine patient inquiries increased wait times, operational strain, and administrative overhead.
Industry
Solution
Quick Summary
We implemented an AI-powered healthcare agent to automate routine patient inquiries, symptom triage, and appointment-related interactions. The solution enabled secure, always-on patient engagement while significantly reducing dependency on call center staff.
- AI-driven symptom assessment standardized patient navigation and improved care routing accuracy.
- Comprehensive QA validation ensured conversational accuracy, HIPAA-compliant data handling, and reliable LLM response quality at scale.
Client Profile
A US-based premier academic medical center recognized among the top healthcare institutions by U.S. News & World Report. With a strong focus on clinical excellence, medical research, and education, the organization serves large patient populations while advancing innovation in healthcare delivery.
Challenges: Scaling Patient Support Without Increasing Operational Burden
- High volumes of repetitive patient inquiries overwhelmed clinic staff and support teams.
- Limited after-hours availability created delays for patients seeking non-emergency medical guidance.
- Existing triage processes lacked a scalable and standardized mechanism for symptom-based care routing.
- Rising call center demand increased operational costs, prolonged wait times, and contributed to staff fatigue.
QBurst Solution: AI-Driven Healthcare Agent with Intelligent Triage
We implemented a scalable AI-powered healthcare agent designed to streamline patient interactions, automate routine support, and improve access to healthcare services around the clock. The solution combined conversational AI, NLP-driven intent recognition, and intelligent symptom assessment to deliver accurate, secure, and responsive patient engagement experiences.
We also established a comprehensive Quality Engineering strategy to validate conversational reliability, clinical safety, and compliance with healthcare data privacy standards.
- AI-powered patient support for appointment scheduling, FAQs, and medication refill requests
- Intelligent symptom checker for standardized patient triage and care navigation
- Human escalation workflows for sensitive or high-risk interactions
- Secure backend validation aligned with HIPAA compliance requirements
- DeepEval-based LLM validation for accuracy, faithfulness, hallucination rates, and answer relevance
Technical Highlights
- Conversational AI with Natural Language Processing (NLP)
- AI-driven symptom triage workflows
- Human-in-the-loop escalation mechanisms
- DeepEval-based LLM response quality validation
- Secure healthcare data integration and compliance testing
- 24/7 scalable cloud-based architecture
Impact
- Reduced Level 1 patient support inquiries by over 60%, significantly lowering call center workload and operational costs.
- Enabled clinicians and administrative teams to focus on higher-value patient care activities.
- Improved patient experience with instant 24/7 access to healthcare information and services.
- Standardized symptom triage and patient routing for safer, more consistent care guidance.
- Supported scalable patient engagement during seasonal demand spikes and public health events.
Client Profile
Challenges
QBurst Solution
Technical Highlights
Impact