DS-Enterprises — AgentCare Patient Journey Manager

Mist Avinya 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

About the Customer

Business Context & Challenges

Business Context

DS-Enterprises operates hospitals, clinics, diagnostic centers, and telemedicine services across multiple cities. Growing patient volumes strained fragmented systems, causing missed follow-ups and heavy administrative overhead.

Key Challenges

Manual coordination of appointments, medications, and follow-ups · missed appointments increasing readmission risk · clinical data scattered across EHR, lab, insurance, and telemedicine systems · slow insurance verification.

Solution

What the Agent Does

Agent Capabilities

Coordinates appointments, medications, diagnostics, and insurance workflows · monitors adherence and health trends · generates clinical summaries and follow-up recommendations · identifies high-risk patients · provides real-time operational insight.

Agent Tools (Lambda-backed)

get_patient_profile · appointment_scheduler · medication_adherence_tracker · lab_report_analyzer · insurance_claim_assistant · patient_risk_analyzer. Human review checkpoints for critical decisions.

Foundation Model

Why Claude Opus 4.1

Selection Rationale

Excellent clinical reasoning and medical document understanding · strong tool-use and multi-step orchestration · long-context comprehension for complex patient journeys · native, secure AWS integration for PHI-sensitive workloads.

Alternatives Considered

Rules-based workflows — patient journeys vary too widely. Traditional automation — can't understand clinical context. Standalone LLM integration — lacked autonomous orchestration and human oversight.

Security

Security & Responsible AI

Security & Governance

MFA for privileged users · least-privilege IAM · KMS encryption at rest, TLS 1.2+ in transit · CloudTrail across all services · private VPC endpoints · healthcare compliance controls · data segregated by facility and department.

Responsible AI Controls

Bias mitigation via evidence-based clinical data · human oversight for critical care decisions · AI recommendations include supporting rationale · full auditability of agent actions · per-facility data isolation.

Business Outcomes

Results at a Glance

Appointment Attendance

65% → 96% (target exceeded)

Medication Adherence

Baseline → 89% adherence (+40% target met)

Administrative Effort

Manual, high overhead → 76% reduction (target exceeded)

Insurance Processing Time

Slow, error-prone → 1.8 days (target exceeded)

Architecture

High Availability & Scalability

All critical services operate across multiple Availability Zones. Lambda and Bedrock scale automatically for patient demand; DynamoDB auto-scales throughput; EventBridge manages large-scale reminders and care coordination.

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