AI Healthcare Patient Care Coordinator
Manual patient coordination created repetitive administrative work, delayed responses, and limited support availability, making it difficult for care teams to efficiently manage routine appointments, follow-ups and patient requests.

Business Process Challenges
The healthcare provider relied heavily on administrative staff to manage routine patient coordination activities, resulting in a high volume of repetitive work and delays in responding to patients. Patients often had to wait for staff availability for routine requests, while care coordination teams spent significant time handling activities that could be streamlined or automated.
- Manual appointment scheduling and rescheduling: Staff had to handle routine appointment changes, confirmations, cancellations, and scheduling requests manually.
- Repetitive patient follow-up calls and reminders: Care coordination teams spent considerable time making follow-up calls and sending reminders for upcoming appointments and related activities.
- High volume of routine patient FAQs: Staff frequently responded to repetitive questions that could be addressed through approved healthcare information and knowledge resources.
- Limited availability outside regular coordination hours: Patients had limited access to routine coordination support when administrative staff were unavailable.
- Time-consuming administrative coordination: Routine patient requests required significant staff involvement, increasing the administrative workload for care coordination teams.
- Difficulty consistently handling routine patient requests: The high volume of repetitive interactions made it challenging to handle routine requests consistently and efficiently.
- Manual escalation of requests requiring staff intervention: Requests that were complex, sensitive, or outside the scope of routine coordination had to be manually identified and escalated to healthcare staff.
Our Strategic Approach
Softree Technology developed an AI Healthcare Patient Care Coordinator using Amazon Bedrock, Amazon Bedrock AgentCore, and Amazon Nova 2 Sonic.
The solution uses Nova 2 Sonic for natural voice interaction, Amazon Bedrock for AI-agent capabilities, and AgentCore for secure agent runtime, identity, tool connectivity, memory, and observability. The system is designed for patient coordination and administrative support rather than clinical diagnosis or treatment decisions.
Core capabilities
- Voice-first interaction: Patients communicate through natural voice conversations.
- AI patient coordination agent: Interprets requests and routes them to the appropriate workflow.
- Appointment management: Supports scheduling, confirmation, rescheduling, cancellation, and appointment information through controlled APIs.
- Knowledge support: Retrieves approved healthcare information from a controlled knowledge base.
- Follow-up automation: Supports configured appointment and coordination follow-ups.
- Human escalation: Routes complex, sensitive, or out-of-scope requests to healthcare staff.
- Secure agent operations: Uses AgentCore Runtime, Identity, Gateway, and Observability for controlled agent execution.
How we delivered it.
Explore the Solution Through visuals

What changed for the client.
The solution transforms routine patient coordination from a predominantly manual process into a voice-first, AI-assisted healthcare workflow. It provides patients with a more accessible way to manage routine requests while allowing care coordination teams to focus on interactions requiring human attention.
- Up to 40% reduction in repetitive patient coordination effort
- Up to 35% faster routine appointment handling
- Up to 30% reduction in manual follow-up activities
- Up to 30% reduction in repetitive administrative inquiries
- Improved availability of routine patient coordination support
- Faster escalation of requests requiring human intervention
The numbers behind the rollout.
The full integration layer.
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