Healthcare

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.

softreetechnology.com/case-studies
ai
0%
Reduction in repetitive coordination effort
0%
Reduction in repetitive administrative inquiries
0%
Faster routine appointment handling

Client Profile

A large healthcare group and healthcare provider in the UAE that sought to improve patient coordination by reducing repetitive administrative interactions and providing faster access to routine appointment and follow-up support.

Use Cases
AI Agents, Process Automation, Customer Experience, Healthcare Operations
Industry
Healthcare
Project Type
AI-Powered Patient Care Coordination
Scale of Operation
Large healthcare group; specific operational scale or patient/user numbers are not specified.
End Users
Patients and healthcare care-coordination staff
Service Provided
AI Agent DevelopmentVoice AIHealthcare AIWorkflow Automation
The Client Challenge

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.

  1. Manual appointment scheduling and rescheduling: Staff had to handle routine appointment changes, confirmations, cancellations, and scheduling requests manually.
  2. 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.
  3. High volume of routine patient FAQs: Staff frequently responded to repetitive questions that could be addressed through approved healthcare information and knowledge resources.
  4. Limited availability outside regular coordination hours: Patients had limited access to routine coordination support when administrative staff were unavailable.
  5. Time-consuming administrative coordination: Routine patient requests required significant staff involvement, increasing the administrative workload for care coordination teams.
  6. Difficulty consistently handling routine patient requests: The high volume of repetitive interactions made it challenging to handle routine requests consistently and efficiently.
  7. 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 Approach

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

  1. Voice-first interaction: Patients communicate through natural voice conversations.
  2. AI patient coordination agent: Interprets requests and routes them to the appropriate workflow.
  3. Appointment management: Supports scheduling, confirmation, rescheduling, cancellation, and appointment information through controlled APIs.
  4. Knowledge support: Retrieves approved healthcare information from a controlled knowledge base.
  5. Follow-up automation: Supports configured appointment and coordination follow-ups.
  6. Human escalation: Routes complex, sensitive, or out-of-scope requests to healthcare staff.
  7. Secure agent operations: Uses AgentCore Runtime, Identity, Gateway, and Observability for controlled agent execution.
Project Delivery Lifecycle

Our Engineering & Delivery Process

Our structured project delivery approach takes you from discovery and planning to development, testing, and deployment, ensuring quality, transparency, and predictable outcomes at every stage.

I
PHASE 01

Discovery & Architecture

Deep-dive technical audit of existing systems, security baselines, API mapping, and comprehensive cloud target blueprinting.

Architecture BlueprintIntegration MatrixSecurity Baseline
II
PHASE 02

UX & System Prototyping

Role-based user journeys, wireframing, high-fidelity clickable Figma prototypes, and API contract specifications prior to build.

Interactive PrototypesDesign System TokensAPI Contracts
III
PHASE 03

Agile Sprint Engineering

Modular development sprints delivering clean, shippable code with automated CI/CD pipelines and continuous testing.

Production ModulesAutomated CI/CDPeer-Reviewed Code
IV
PHASE 04

QA & Security Hardening

End-to-end regression suites, cross-device verification, load stress audits, and penetration testing for enterprise resilience.

Automated Test MatrixPenetration AuditZero-Defect Sign-off
V
PHASE 05

Production Launch & Scale

Zero-downtime blue-green production deployment, real-time telemetry, administrator training runbooks, and ongoing SLA support.

Live Production ReleaseCloud TelemetrySLA Support Runbook
Visual Proof

Explore the Solution Through visuals

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The Outcome

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.

  1. Up to 40% reduction in repetitive patient coordination effort
  2. Up to 35% faster routine appointment handling
  3. Up to 30% reduction in manual follow-up activities
  4. Up to 30% reduction in repetitive administrative inquiries
  5. Improved availability of routine patient coordination support
  6. Faster escalation of requests requiring human intervention
Results & Business Impact

The numbers behind the rollout.

01
Reduction in repetitive coordination effort
40%
02
Reduction in repetitive administrative inquiries
30%
03
Faster routine appointment handling
35%
Reference Tech Stack

The full integration layer.

Amazon Nova 2 Sonic
Amazon Bedrock
Amazon Bedrock AgentCore
AgentCore Gateway
AgentCore Identity
AgentCore Memory
Amazon Bedrock Knowledge Bases
React
TypeScript
Python
FastAPI
Amazon DynamoDB
Amazon S3
AWS Lambda
Amazon EventBridge
Amazon Connect
AWS IAM
AWS KMS
Amazon Cognito
Amazon CloudWatch.
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FAQ

Frequently asked questions.

Softree delivers custom solutions across AI and automation, Power Platform, SharePoint customization, full-stack web and SaaS engineering, and data analytics.
We combine modern software engineering standards, secure cloud configurations, pre-built accelerators, and agile delivery methodologies to produce governed, scalable applications.
Our agile delivery model typically produces scoped initial MVPs in 4 to 8 weeks, with comprehensive enterprise deployments completed in 10 to 12 weeks.
Yes. We design and build secure custom API gateways, REST connectors, and database bridges to ensure our custom solutions integrate seamlessly with your existing legacy infrastructure.

Build faster with a reliable offshore engineering partner.

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What we offer

Enterprise Integration
Cloud Architecture
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