AWS Advanced Tier Partner

AgentCare — AI-Powered Patient Journey Manager

DS-Enterprises — Agentic AI Healthcare Operations Platform

Executive Summary

Mist Avinya Technologies LLP built an autonomous Agentic AI healthcare operations platform on Amazon Bedrock Agents, powered by Claude Opus 4.1, enabling DS-Enterprises to coordinate the entire patient journey — appointments, medications, diagnostics, and insurance — with clinical oversight, PHI protection, and full auditability.

96%
Appointment Attendance
89%
Medication Adherence
76%
Reduction in Administrative Effort
1.8 days
Insurance Processing Time

About the Customer

DS-Enterprises operates a network of hospitals, clinics, diagnostic centers, and telemedicine services across multiple cities, managing thousands of patient interactions daily.

Business Context

As patient volumes grew, healthcare teams struggled with fragmented systems, missed follow-ups, delayed interventions, and heavy administrative overhead — with limited visibility into the complete patient journey. The organization needed an AI platform to autonomously coordinate care while maintaining compliance, security, and quality outcomes.

Key Challenges

  • Manual coordination of appointments, medication reminders, tests, and follow-ups
  • Missed appointments and medication schedules increasing readmission risk
  • Clinical data scattered across EHR, lab, insurance, and telemedicine systems
  • Slow, error-prone insurance verification and claims processing
  • No real-time visibility into adherence, high-risk cases, and operational performance

Project Goals & Objectives

Reduce administrative burden and improve patient outcomes with end-to-end journey visibility — while keeping clinicians in control.

Reduce Administrative Workload

Cut administrative effort by at least 70% by automating coordination, reminders, and documentation.

Improve Adherence & Attendance

Raise appointment attendance from 65% to above 95%, increase medication adherence by 40%, and reduce readmissions by 25%.

Accelerate Insurance Processing

Improve insurance verification and claims processing efficiency by 60%.

Scale Patient Care Operations

Provide end-to-end patient journey visibility and scale operations without proportional workforce expansion.

Solution Overview

An autonomous Patient Journey Manager agent on Amazon Bedrock Agents, powered by Claude Opus 4.1, supporting omnichannel patient interactions (WhatsApp, web portals, call centers) and integrating EHR, lab, insurance, and telemedicine systems.

What the AI Agent Does

  • Coordinates appointments, medications, diagnostics, and insurance workflows
  • Monitors patient adherence and health trends
  • Generates clinical summaries, discharge notes, and follow-up recommendations
  • Identifies high-risk patients requiring intervention
  • Provides real-time operational insights to healthcare providers

Agent Tools (Lambda-backed)

  • Get_patient_profile — history, diagnoses, medications, appointments
  • Appointment_scheduler — schedule/modify/track by availability
  • Medication_adherence_tracker — schedules, adherence, missed doses
  • Lab_report_analyzer — flags abnormal diagnostic findings
  • Insurance_claim_assistant — eligibility, documentation, claim tracking
  • Patient_risk_analyzer — identifies high-risk cases from history & vitals

The Bedrock Agent follows a ReAct reasoning pattern, planning workflows dynamically and invoking tools as needed. Human review checkpoints are configured for critical healthcare decisions and low-confidence recommendations.

Foundation Model Selection

Claude Opus 4.1 on Amazon Bedrock was selected for advanced clinical reasoning and long-context understanding, benchmarked against alternatives on medical understanding, tool use, AWS integration, and cost/performance.

Why Claude Opus 4.1

  • Excellent clinical reasoning and medical document understanding
  • Strong tool-use and multi-step agent orchestration
  • Long-context comprehension for complex, multi-touch patient journeys
  • Native, secure AWS integration for PHI-sensitive workloads

Alternatives Considered

  • Rules-based workflow systems — patient journeys vary too widely across conditions and providers
  • Traditional healthcare automation — cannot understand clinical context or coordinate complex workflows
  • Standalone LLM integration — lacked autonomous orchestration, tool use, memory, and human oversight

AWS Services Used

A secure, compliant, serverless AWS architecture for enterprise healthcare operations.

Amazon Bedrock Agents

Orchestrates patient-care workflows — reasoning, planning, tool execution, and memory management.

Claude Opus 4.1

Powers clinical reasoning, patient support, medical summarization, and care recommendations.

Amazon Bedrock Guardrails

Ensures PHI protection, safety, and policy compliance for all agent-generated content.

Amazon Transcribe Medical

Converts doctor-patient conversations into structured clinical notes.

DynamoDB · S3 · Lambda

Store patient records, appointments, prescriptions, documents, and audit logs; Lambda backs all agent tools.

EventBridge · SNS · Athena · API Gateway · Cognito

Automate reminders and event-driven care coordination, analytics/reporting, and secure authenticated access.

Security & Responsible AI

Healthcare-grade security, governance, and responsible AI integrated throughout.

Security & Governance

  • MFA enforced for privileged users; IAM least-privilege access
  • AWS KMS encryption at rest; TLS 1.2+ in transit
  • CloudTrail logging across all services; private VPC endpoints
  • Healthcare compliance controls implemented
  • Patient data securely segregated by facility and department

Responsible AI Controls

  • Bias mitigation — recommendations based on evidence-based clinical data
  • Human oversight — critical patient-care decisions require clinician review
  • Transparency — AI recommendations include supporting rationale
  • Auditability — all agent actions and decisions are logged
  • Data isolation — patient data segregated by facility and department

Business Outcomes

Measurable improvements across patient adherence, administrative efficiency, and insurance processing.

KPI Baseline Target Actual Result
Appointment Attendance 65% Above 95% 96%
✓ Target Exceeded
Medication Adherence Baseline +40% 89% Adherence
✓ Target Met
Administrative Effort Manual, high overhead −70% 76% Reduction
✓ Target Exceeded
Insurance Processing Time Slow, error-prone +60% efficiency 1.8 Days
✓ Target Exceeded

Architecture — High Availability & Scalability

A serverless-first, AWS-native architecture using Amazon Bedrock Agents, AWS Lambda, DynamoDB, EventBridge, and Amazon S3 — designed for healthcare-grade reliability.

AWS Architecture Diagram — AgentCare Patient Journey Manager

High Availability

All critical services operate across multiple Availability Zones with autonomous workflow orchestration and no single point of failure, enabling seamless expansion across hospitals and clinics.

Scalability & Resilience

Lambda and Bedrock scale automatically for patient demand, DynamoDB auto-scales throughput, and EventBridge manages large-scale reminders and event-driven care coordination — eliminating infrastructure management overhead.