Persistent Health(AI)ntel: Agentic AI for Intelligent Patient Care Coordination

Improve care continuity and operational efficiency with multi‑agent AI for clinical care coordination

Persistent agentic AI accelerator, Health(AI)ntel, enables leading healthcare organizations improve care outcomes, optimize administrative overhead and increase operational efficiency by converting standard operating procedures into intelligent, end-to-end workflows.

Health(AI)ntel orchestrates multiple AI agents across clinical teams, departments and key transitions such as admissions, handovers, discharges and shift changes to reduce manual effort, lower error rates and speed up decision-making. Each agent owns defined process steps, collaborates in real time and ensures tasks are executed accurately, on time, and with full traceability.

Persistent ensures integrated observability to give leadership clear insight into every action, decision and handoff, supporting safer, scalable and explainable Agentic AI deployment grounded in clinical evidence.

Because the platform is runtime-agnostic and workflow-native, healthcare providers can modernize care coordination quickly without disrupting existing systems—priming their organizations for sustained, AI-led transformation.

Benefits

Faster Care Coordination: Automates end-to-end patient handoffs and task execution, reducing delays across admissions, transfers, discharges and shift changes
Reduced Administrative Burden: Minimizes manual coordination, documentation and follow-ups, allowing clinicians and care teams to focus more on patient care
Improved Operational Reliability: Ensures consistent, repeatable execution of care workflows with reduced errors, missed steps and decision latency
Full Workflow Visibility: Provides end-to-end observability with traceability across every agent action, decision and handoff for safer AI adoption
Scalable Process Transformation: Rapidly converts complex care coordination SOPs into intelligent, runtime agnostic agentic workflows without disrupting existing systems

Client Success

From Weeks to Minutes: How a Top-Tier Managed Care Organization Transformed Claims Adjudication with Agentic AI

Read the Story

Client Success

From Weeks to Minutes: How a Top-Tier Managed Care Organization Transformed Claims Adjudication with Agentic AI

Read the Story

Why Persistent?

Deep Healthcare Expertise

Proven experience across providers with a strong understanding of clinical workflows, regulations and operational realities.

Agentic AI at Scale

Leadership in designing and deploying multiagent, workflow-native AI solutions that go beyond task automation to orchestrate complex, end-to-end healthcare processes.

Built on Reusable AI IP

Leverages Persistent’s agentic process automation accelerator, Process Intel, to speed up time to value and scale reliably.

Workflow-First, Responsible AI Approach

AI built around process ownership, observability, traceability and human-in-the-loop governance to enable safe, compliant and scalable adoption.

Platform & Runtime Agnostic Solutions

Flexible architectures that integrate seamlessly with existing healthcare ecosystems, electronic health records and enterprise platforms without vendor lock-in.

Proven Delivery and Innovation DNA

Strong engineering excellence, industry partnerships and a track record of translating AI innovation into measurable clinical, operational and business outcomes.

FAQs

How does Persistent Health(AI)ntel transform existing care coordination SoPs into agentic workflows?

Health(AI)ntel converts standard operating procedures (SoPs) into intelligent, end-to-end agentic workflows through multi-agent orchestration. Each agent owns specific process steps and collaborates in real time to execute tasks across admissions, handoffs, discharges and shift changes. The platform maintains full traceability to source clinical evidence while enabling rapid process reengineering without disrupting existing systems.

What role does multi-agent orchestration play in reducing patient handoff delays across clinical teams?

Multi-agent orchestration enables seamless coordination across clinical teams, departments and care transitions by assigning intelligent agents to specific process steps. Agents collaborate in real time to ensure tasks are completed accurately and on time, eliminating manual handoffs that create delays. This approach accelerates decision-making and improves care continuity across complex healthcare environments.

How does Health(AI)ntel provide end-to-end observability for safer AI adoption in healthcare settings?

Built-in observability delivers complete visibility into every action, decision and handoff within the agentic workflow. Health(AI)ntel provides traceability across all agent activities, enabling organizations to monitor performance, identify issues and ensure compliance. This transparency supports safer AI adoption at scale while enabling continuous improvement of care coordination processes.

What does runtime-agnostic and workflow-native architecture mean for legacy healthcare systems?

Runtime-agnostic architecture allows Health(AI)ntel to operate independently of underlying technology infrastructure, while workflow-native design enables rapid process reengineering without system disruption. Healthcare organizations can implement intelligent care coordination on top of existing systems, avoiding costly replacements. This approach accelerates deployment while preserving current clinical operations and technology investments.

How does Health(AI)ntel's agentic approach differ from traditional workflow automation or RPA in healthcare?

Health(AI)ntel uses intelligent agents that own process steps, make decisions and collaborate in real time rather than following rigid, pre-programmed rules. This multi-agent orchestration enables dynamic coordination across clinical teams and care transitions with built-in observability. Traditional automation lacks the intelligence, adaptability and end-to-end traceability that agentic workflows provide for complex care coordination.

What types of care transitions benefit most from intelligent agent-driven coordination versus manual processes?

Health(AI)ntel automates end-to-end patient handoffs and task execution, reducing delays and errors inherent in manual processes. Complex care coordination requiring real-time collaboration across departments gains the most operational efficiency and reliability improvements.