When sat for the first round of discussion, the client faced challenges in integrating new technologies with their legacy infrastructure. Ensuring compatibility, smooth data flow, and minimal operational disruption while preserving security and efficiency has been a constant struggle.
Additionally, fast-paced environments like healthcare required real-time responses. Issues like inconsistent data, delays, and scalability hinder decision-making, making it difficult to provide reliable, accurate insights for timely actions.
The project involved developing a Conversational AI Chatbot to enhance patient engagement. The chatbot was designed to answer healthcare queries, schedule appointments, and send medication reminders. To achieve this, our assigned team of AI developers prepared a phase-by-phase POA that involved:
The chatbot solution leverages advanced technologies and frameworks to deliver real-time, reliable patient engagement.
User Input: Patients interact with the chatbot via a web-based interface, providing details about symptoms, appointments, or medication reminders.
Rasa NLU: The input is processed through Rasa NLU, which extracts intents (e.g., symptom reporting) and relevant entities (e.g., symptoms, dates) to understand the query.
GPT-4: Based on the extracted intent and entities, GPT-4 generates contextual and natural responses, guiding patients through healthcare queries or appointment scheduling.
MLOps: Machine learning models are continuously updated using MLOps, allowing the system to adapt and improve over time, enhancing accuracy with every interaction.
Neo4j: Interactions are logged in a graph database (Neo4j), building a knowledge graph for improved query optimization and deeper insights for future interactions.
Logger: All system interactions and errors are logged to ensure smooth operation and allow for effective monitoring and debugging.
The healthcare organization successfully integrated advanced technologies with its existing systems, delivering real-time, accurate responses. The AI-powered Conversational Chatbot boosted patient engagement, streamlined workflows, and helped healthcare providers make faster, informed decisions. All-in-all, this project showcased AI’s potential to improve healthcare delivery and chronic illness management.
Technology & Software
India
Staff/Resource Augmentation
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Business Development Head
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