How Clarus Care built a generative AI contact center for healthcare using Amazon Bedrock
Hot, fresh, and worth queueing round the block for.
Summary
Clarus Care partnered with AWS Generative AI Innovation Center to build a generative AI-powered contact center prototype for healthcare practices. The solution uses Amazon Bedrock to enable conversational voicebot and chat interactions, handle multi-intent patient requests (appointments, prescriptions, billing), support human transfer for urgent cases, and includes an analytics pipeline for performance insights. The system aims to reduce long hold times, patient frustration, and staff overload in healthcare call centers.
Key quotes
· 3 pulledMany healthcare practices today struggle with managing high volumes of patient calls efficiently.
Traditional phone systems often lead to long hold times, frustrated patients, and overwhelmed staff who manually process and prioritize hundreds of calls daily.
This solution enables conversational interaction and multi-intent resolution through an automated voicebot and chat interface.
You might also wanna read
Collaborative AI-Human Coding: A Team's Experience with Amazon Bedrock and AI Agents
The article describes a team's experience building software using AI-assisted coding within Amazon Bedrock. The author explains their collab
blog.joemag.dev·7mo agoLaunch HN: BitBoard (YC X25) – AI agents for healthcare back-offices
Microsoft Open-Sources AI-Powered Call Center Solution Using Azure and OpenAI GPT
Microsoft has open-sourced an AI-powered call center solution called 'call-center-ai' that enables businesses to deploy AI agents for phone-
github.com·7mo ago
Trellis AI Hiring Technical Staff to Build Healthcare AI Agents for Medical Billing Automation
Trellis AI is hiring a Member of Technical Staff to build and deploy AI agents that automate healthcare administrative processes like docume
ycombinator.com·4mo ago
Amarsia: AI Platform for Building Chat Features Without Backend Infrastructure
Amarsia is an AI platform that simplifies building AI chat features by eliminating the need for backend infrastructure, SDKs, and databases.
Product Hunt·4mo ago