🩺 AI Agent · Clinical Decision Support

Clinical Intelligence That Keeps Care Teams One Step Ahead

ClinicalPath is VelorQ's AI agent for clinical decision support. Protocol adherence monitoring, drug interaction checking, and real-time evidence synthesis — designed for regulated healthcare environments where every decision carries consequence.

SAGE Healthcare-trained AI model by VelorQ

What It Does

Evidence-Based Clinical Intelligence, At the Point of Care

ClinicalPath integrates with your clinical workflow to surface the right protocol, the right evidence, and the right caution — at the moment a clinician needs it, not after.

📋

Protocol Adherence Monitoring

Real-time comparison of care orders against institutional and national clinical protocols. Deviations flagged immediately with protocol reference, alternative options, and documentation guidance.

⚠️

Drug Interaction & Safety Checking

Comprehensive drug-drug, drug-disease, and drug-allergy interaction analysis across the patient's full medication list. Severity-ranked alerts with mechanism explanations and management options.

🔬

Real-Time Evidence Synthesis

Surfaces relevant clinical evidence from indexed guidelines, trial registries, and published literature — summarised and ranked by applicability to the specific patient context within seconds.


How It Works

From Patient Context to Clinical Recommendation

ClinicalPath operates as a passive intelligence layer — monitoring, alerting, and responding without interrupting clinical workflow.

01

Patient Context

ClinicalPath ingests structured and unstructured patient data — diagnoses, medications, allergies, vitals, and lab results — from your EHR via HL7 FHIR or direct integration.

02

Evidence Lookup

For every clinical event, ClinicalPath queries its indexed knowledge base — clinical guidelines, pharmacopoeias, and curated trial data — returning context-specific, ranked evidence within seconds.

03

Protocol Check

Proposed orders and care plans are validated against institutional protocols and national standards. Discrepancies surfaced with clear reasoning, not just a binary pass/fail alert.

04

Recommendation

ClinicalPath delivers a structured recommendation — what to do, why, and what to monitor. Clinician override is always possible and logged with rationale for the audit trail.


Use Cases

Clinical Decision Support Across Every Care Setting

Whether in inpatient wards, outpatient clinics, or pharmacy, ClinicalPath adapts its intelligence to the specific clinical context and complexity level.

Inpatient Care

ICU and High-Dependency Unit Protocol Management

Continuous protocol monitoring for critical care settings. Drug dosing in renal/hepatic impairment, sepsis bundles, ventilator weaning protocols — all checked in real time against current guidelines.

Pharmacy

Clinical Pharmacy Medication Safety Review

Pharmacist-level medication review at scale. ClinicalPath flags polypharmacy risks, therapeutic duplications, and high-alert medication alerts across all active inpatient prescriptions simultaneously.

Rare Disease

Rare Disease Diagnostic and Treatment Pathways

Evidence synthesis for rare and complex conditions where treating clinicians may have limited direct experience. Surfaces current treatment guidelines, active trial options, and specialist centre contacts.


Key Capabilities

Built for Clinical Rigour,
Not Just Clinical Speed

ClinicalPath is designed for environments where AI recommendations must be explainable, auditable, and conservative by default.

HL7 FHIR Integration — Connects to major EHR systems via FHIR R4 APIs without custom middleware development

Guideline Currency Management — Automatic detection and indexing of updated clinical guidelines within 48 hours of publication

Alert Fatigue Reduction — Intelligent alert filtering surfaces only actionable alerts — reduces alert burden by up to 60% vs. rule-based systems

Clinician Override Logging — All AI recommendations and clinician override decisions logged with reasoning for audit, QI, and MDT review

Paediatric and Renal Dose Adjustment — Age-appropriate and renal-function-adjusted dosing recommendations with source reference

Multi-Language Support — Clinical alerts and summaries available in regional languages for multilingual care teams

Explainable AI — Every recommendation includes evidence grade, source guideline citation, and confidence level — no black-box outputs

NABH and JCI Alignment — Protocol libraries aligned to NABH, JCI, and ISO 7101:2023 quality and patient safety standards


40%
Reduction in protocol deviations
99.8%
Drug interaction detection accuracy
8s
Average evidence synthesis response
60%
Reduction in alert fatigue

Ready to Bring Evidence-Based Intelligence to Your Care Team?

See how ClinicalPath integrates into your clinical workflow and reduces protocol deviations — without adding cognitive burden to your clinicians.

Request a Demo → Explore the Platform