Launch from the workflow.
Open VitalSearch from an approved patient or task context, with access limited to what the health system permits.
Enterprise clinical intelligence
Clinical intelligence your health system can stand behind.
VitalSearch brings patient-aware, evidence-backed answers into the clinical workflow—so care teams move faster and health systems can see exactly what supports every response.
Begin in a read-only, synthetic-data environment focused on one clinical workflow.
Patient context
Renal function changed since the last encounter.
Relevant chart context is applied before evidence retrieval.
Context applied
Evidence trail
Guideline, regulatory label, and clinical review.
Sources attached
Governance record
Question, context, sources, and user action captured.
Reviewable
Designed with the priorities of enterprise clinical teams in mind.
Clinical informatics
Patient safety
Pharmacy leadership
Digital health & AI governance
The VitalSearch experience
One clinical question. The patient context. The evidence behind it.
VitalSearch is designed to help clinicians move from uncertainty to an inspectable answer without leaving the workflow—and without asking the health system to trust a black box.
Clinical workspace
Evidence available
Clinical question
Is the current anticoagulation plan appropriate for this patient?
Patient context applied
Evidence-backed response
Sources linked
The current plan warrants review because renal function, age, and concurrent therapy may change bleeding risk. Confirm dose criteria, the direction of renal change, and interacting medications before taking action.
Open evidence
Review safety notes
How it works
A clearer path from question to defensible action.
VitalSearch is designed around the moment a clinical question emerges—not around a separate research workflow clinicians have to learn.
Ask the clinical question.
The question is interpreted alongside relevant patient factors, role, setting, medications, and workflow state.
Inspect the answer and evidence.
Review the structured response, supporting sources, safety notes, uncertainty, and why the evidence applies.
Keep the interaction answerable.
The organization retains a reviewable record of the question, context, evidence, response, and user interaction.
Patient-aware intelligence
Context, already understood.
A clinical answer changes when the patient changes. VitalSearch is designed to apply the relevant patient, medication, role, and workflow context before evidence is retrieved.
✓Relevant chart context, not the entire record
✓Role- and setting-aware presentation
✓Visible context used to shape the response
Evidence integrity
Evidence, not just answers.
The response is only the beginning. VitalSearch keeps the source hierarchy, relevance, recency, and patient applicability visible so clinicians can inspect what supports the answer.
✓Guidelines, regulatory sources, and literature
✓Structured source ranking and rationale
✓Uncertainty and missing information surfaced
Enterprise governance
Governance from the first query.
Clinical AI should be inspectable before it becomes influential. VitalSearch is designed to give health systems visibility into how answers are generated and used.
✓Question, context, evidence, and response captured
✓Safety and source-review interactions recorded
✓Reviewable quality and usage patterns
Enterprise readiness
Designed for deployment, not just demos.
The enterprise prototype is being built around the controls, integration patterns, and validation steps required to evaluate clinical intelligence responsibly.
Workflow-native integration
Designed for approved SMART on FHIR launch patterns and a read-only starting point inside representative EHR workflows.
Identity and access controls
Role-based access, enterprise authentication patterns, and least-privilege data access are part of the validation architecture.
Audit and reviewability
Evidence and interaction metadata are structured so quality, safety, and governance reviewers can examine system behavior.
Sandbox before production
Begin with synthetic FHIR data, representative roles, and scenario-based testing before considering live clinical deployment.
Design-partner program
Start with one workflow. Prove what matters.
A focused six-to-eight-week design-partner pilot can evaluate the product experience, evidence quality, safety behavior, workflow fit, and audit completeness in a synthetic environment.
Frequently asked
Everything you need to evaluate the first step.
VitalSearch is being designed as clinical decision-support infrastructure. It helps surface evidence and patient-relevant considerations; clinicians and health systems retain responsibility for clinical judgment and action.
No. The initial enterprise prototype and design-partner pilot are intended to begin read-only, using synthetic data and representative workflows.
The product is designed to show the sources behind the answer, the patient context that shaped retrieval, safety or uncertainty notes, and a reviewable interaction record.
A strong design-partner group usually includes a clinical champion, clinical informatics, patient safety or quality, pharmacy when relevant, IT or integration, and an AI-governance or compliance stakeholder.
The proposed evaluation focuses on clinical usefulness, source relevance, safety behavior, workflow usability, context accuracy, and completeness of the audit trail.