Aspen Healthcare Chatbot Platform

Project Overview

The Aspen Healthcare Chatbot Platform was built to modernize patient engagement by providing a secure, self-service digital channel. Patients can register using a medical identifier, interact with an AI-powered chatbot, book appointments, access historical health records, and communicate with doctors in real time.

I joined the project during the early development phase and took ownership of backend services, conversational integrations, and production stabilization, contributing through feature completion and successful go-live.

Business Objectives

Provide a secure digital entry point for patients

Automate appointment scheduling and patient queries

Enable real-time doctor–patient communication

Ensure controlled access to sensitive medical records

Meet healthcare security and compliance expectations

High-Level Architecture

Frontend (Angular)

Single-page application built using Angular
User registration and secure login flows
Chatbot UI for conversational interactions
Appointment booking and health record views

Backend (Spring Boot Microservices)

Conversation Service for chatbot orchestration
HON Connect Service for healthcare workflows
RESTful APIs for UI integration
Business validation and access control

Conversational AI

Google Dialogflow for intent detection
NLP-based conversation handling
Lightweight intent logic with backend validation

Data Layer

Firebase for near real-time data storage
Patient profiles and conversation context
Secure data access via backend services

Key Functional Flows

Patient Registration & Secure Login

AI-Driven Chatbot Interaction

Appointment Booking & Confirmation

Role-Based Health Records Access

Secure Live Chat with Doctors

Technology Stack

Java Spring Boot REST APIs Angular TypeScript Google Dialogflow Firebase Docker Kubernetes Helm Ansible GitHub Actions Google Cloud Platform

My Role & What I Did

Took ownership of backend services after initial setup
Enhanced and stabilized Spring Boot microservices
Designed and implemented REST APIs consumed by Angular UI
Integrated Dialogflow intents with backend business logic
Implemented secure access to patient and appointment data
Supported production readiness and go-live activities
Collaborated closely with frontend and DevOps teams
Resolved environment-specific and deployment issues

Outcome & Impact

The platform was successfully deployed to production, delivering a scalable and secure healthcare chatbot solution. It improved patient experience through automation, reduced manual operational effort, and enabled reliable, real-time communication between patients and healthcare providers.