Healthcare

Clinical workflows and decisions become easier to share when they use common standards. BPM+ provides open standards for modeling workflows and decisions, while HL7 FHIR standardizes healthcare information exchange. Trisotech brings both together, with reusable FHIR data structures that can be used directly in executable clinical models.

Clinical decision support can be embedded directly into the EHR using CDS Hooks, an HL7 standard for invoking external services at specific points in a clinician’s workflow. Trisotech services can receive patient information through FHIR, execute clinical decisions or workflows, and return guidance directly to the clinician.

A clinical practice guideline can be transformed from narrative text into visual, computable workflows and decisions using BPM+ open standards. The resulting models make clinical logic easier for experts to review, test, maintain, and share, while Trisotech can execute those same models directly as clinical services.

Evidence-based guidance can be combined with patient-specific information to create a personalized, computable care plan. Trisotech uses governed workflow and decision models to determine appropriate actions and coordinate their execution, while the HL7 FHIR CarePlan standard provides an interoperable representation for exchanging the plan.

Prior authorization can be automated by making eligibility criteria, documentation requirements, policy decisions, exceptions, and routing explicit in executable models. With Trisotech, these workflows and decisions remain visual and directly executable, making policy logic easier to understand, maintain, and change without burying it in application code.

Trisotech Attended Tasks let clinicians or other authorized users review, confirm, or correct information around automated tasks. Routine work can remain automated while human judgment is inserted exactly where risk, uncertainty, or accountability requires it, without forcing the entire workflow back into manual operation.

AI can perform clearly bounded tasks inside an explicit clinical workflow rather than controlling the entire process. The workflow determines when AI is used, what information it receives, and what happens with its output, while deterministic decisions and human validation can remain responsible for higher-risk or consequential steps.

AI can accelerate the conversion of clinical knowledge into visual workflow, decision, case, and data models. Trisotech supports AI-assisted model generation, but the resulting models remain explicit artifacts that experts can review, correct, test, govern, and ultimately deploy as executable services rather than accepting AI-generated content blindly.

Yes. Natural language can provide the conversational interface while an executable service performs the actual clinical calculation or decision. Trisotech lets users interact with deployed services using AI, combining an intuitive conversational experience with explicit decision models that keep the underlying clinical logic testable, explainable, and governed.

AI agents are effective at interpreting requests, gathering context, and coordinating work, but consequential clinical decisions should not depend solely on probabilistic AI behavior. Deterministic decision services keep approved clinical logic explicit, testable, explainable, versioned, and auditable while allowing the AI agent itself to remain flexible and conversational.

AI agents can call approved clinical decisions and workflows as governed tools instead of recreating that logic inside prompts. Trisotech uses the Model Context Protocol (MCP), a standard for connecting AI agents to external tools and services, while keeping the underlying rules and workflow controls separately managed.

AI use should be visible and governable rather than hidden inside applications. Trisotech provides AI usage controls, tags and the Insight Analyzer to help organizations identify where AI participates and understand how those uses relate to workflows, decisions, data, and other modeled assets across the enterprise.