AI-Powered Chat Assistant for a HealthCare company

Overview

A leading US HealthTech company partnered with Sprinterra to modernize how clinical teams access patient data. Instead of wasting valuable time digging through multiple systems, staff now get instant answers through a secure AI-powered assistant — improving care coordination, reducing costs, and enabling faster decisions.

Challenge

Clinical staff were losing hours navigating fragmented systems and combing through endless records just to find key patient details. Manual searches slowed response times, delayed care coordination, and overwhelmed IT support teams with constant requests. The company needed a solution that delivered instant, user-friendly, and secure access to patient information — without technical complexity.

Solution

printerra designed and delivered an AI Chat Assistant built specifically for clinical teams. Staff can simply type questions in natural language and receive real-time, context-aware responses from secure patient databases.

Key capabilities include:

Natural Language Understanding (NLU): Powered by a modern AI model enhanced with healthcare-specific context to interpret varied phrasing and domain terminology

Role-Based Access & Permissions: Ensures only authorized personnel can view sensitive patient information

Secure Multi-Source Integration: Connected directly to MySQL patient data tables via a read-only SSH tunnel, protecting data integrity while enabling instant access.

Session-Aware Conversations: Maintains context across interactions so users can ask follow-up questions without repeating details

Database Orchestration Layer: Seamlessly manages the flow between the AI model, database, and session context to generate precise SQL queries and reliable results

The solution was built with robust privacy safeguards, zero data retention options, and full regulatory compliance, ensuring innovation without compromising trust or security.

RESULTS

    • – 50% reduction in IT support workload, freeing staff for higher-value clinical tasks.
    • – Instant access to patient data that previously took minutes or even hours.
    • – Faster care coordination enabled by accurate, context-rich responses.
    • – Future-ready platform for predictive analytics and proactive patient care recommendations.

     

  • For healthcare providers, this translates into better patient outcomes, lower operational costs, and a scalable digital infrastructure that grows with demand.

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