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Connect hospital intelligence with the patient journey
Use AI in two coordinated ways: to assist integration and architecture, and to support communication and workflow across the patient journey. ZeroOne designs these capabilities around authorized data access, human responsibility and the hospital's HIMSS-aligned roadmap.
AI that helps coordinate systems and workflows
AI agents can use large language models (LLMs) for defined coordination tasks, MCP (Model Context Protocol) to access approved tools, and A2A (Agent2Agent) to collaborate. Permissions, audit trails and human approvals remain part of the workflow.
Integration analysis
Assist interface discovery, mapping proposals and investigation of exceptions, with engineering review before changes are released.
Workflow orchestration
Coordinate reusable agents and tools across HIS, ADT, clinical and departmental workflows.
Operational intelligence
Bring data-quality findings, workload signals and service exceptions into an accountable review process.
Approved ADT or workflow event
Policy-governed AI orchestrator
Retrieval agent
Approved HIS/EMR connector
HIS / EMR
Task agent
Approved departmental / workflow connector
Departmental or workflow system
Validated response or operational task, with acknowledgement
Identity
Permission checks
Schema and terminology validation
Human approval where needed
Audit trail
Exception handling
Agents reach hospital systems only through approved connectors and tools. The orchestrator coordinates the sequence; it does not replace system databases or grant access on its own.
Support each step from first contact to follow-up
Agents handle communication and coordination around care, connected to hospital workflows and to the staff who remain responsible for clinical decisions.
Before arrival
Explain approved administrative preparation, collect authorized intake information and help users navigate appointment processes.
Clinical advice comes from approved care-team content and escalation.
Arrival and registration
Help with check-in steps, registration questions, accessibility preferences and routing to the correct desk.
Identity and ADT updates use verified, authorized workflows.
During the visit
Provide approved wayfinding, service instructions and status information.
Queue or status information is not a clinical priority or a guaranteed treatment time.
Tests and departmental services
Coordinate preparation information and administrative tasks across laboratory, imaging and other services.
Orders, interpretation and result release remain under clinical policy.
Admission and care coordination
Support non-clinical communication, staff task coordination and authorized information retrieval.
No autonomous diagnosis, treatment, patient merge or medication action.
Discharge
Present clinician-approved instructions, explain next administrative steps and arrange permitted follow-up tasks.
Discharge decisions and clinical instructions require responsible staff approval.
Follow-up and home care
Support reminders, authorized information collection and escalation to the appropriate team.
Urgent or clinically significant concerns follow the hospital's human escalation pathway.
Define what the agent can do before it acts
Approved scope and access
Define the tasks, users, data sources and tool permissions.
Grounded outputs and review
Use retrieval-augmented generation (RAG) to ground LLM responses in approved documents and standard operating procedures (SOPs), with source references, checks for unsupported answers and human review.
Evaluation and release control
Test realistic scenarios and failure cases before controlled introduction.
Operational monitoring
Track task outcomes, exceptions and version changes with named service owners.
High-impact actions require explicit policy and accountable clinical review. Patient messages, source documents and tool responses are treated as data; they cannot change what an agent is permitted to do.
Introduce AI where it supports the maturity plan
Select AI use cases against the hospital's actual gaps, data readiness and operating capacity. Workflow adoption, interoperability and measurable use remain part of the delivery plan; adding AI alone does not establish a HIMSS stage.
Where analytics maturity is relevant, planning can reference the HIMSS Analytics Maturity Assessment Model (AMAM).
AI programs in our portfolio
Clinical Documentation & Review Platform
A clinical documentation platform designed for care teams in the United States, combining encounter capture, specialty-specific drafts and source-linked clinician review. Its delivery scope includes record-system integration, local terminology evaluation, model release controls and phased specialty rollout, with approval and traceability built into every documentation workflow.
Tags: Clinical AI · Documentation Governance
Hospital Flow & Capacity Intelligence
An operational intelligence platform designed to connect patient flow, staffed capacity and discharge dependencies across a hospital cluster. Forecasting and scenario simulation help planners examine pressure points, while data-quality monitoring, historical replay and documented planning decisions support a controlled path from evaluation to daily operational use.
Tags: Predictive Operations · Capacity Planning
Referral Access & Intake Intelligence
A referral coordination platform designed to connect incoming documents, intake teams and specialist services across an Ontario care network. It combines evidence-linked extraction, completeness checks and reviewed routing with missing-information follow-up and referral status tracking, supported by authorised integrations and staged adoption across participating services.
Tags: Intelligent Intake · Referral Coordination
Program designs describe intended capabilities, not measured outcomes.
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