01
Patient Access & Pre-Visit Assistant
Capture patient information, prepare for appointments and support education, medication reminders and care preparation.
IntMed Cardiac AI · Proposed solution
Cardiac intelligence.
Across the care journey.
Connect structured intake, cardiac data and ongoing monitoring in one clinician-centered platform, from the first patient interaction to follow-up at home.
From first contact to follow-up.
Before the visit
Patient access and structured cardiac intake.
At the hospital
Multimodal clinical intelligence and prioritized monitoring.
After discharge
Connected devices, care-team review and digital support.
AI-assisted clinical workflowsMultimodal health dataPhysician-led decisions
Five connected modules
One journey. Five layers of support.
From the first patient interaction to continued care at home.
02
AI-Assisted Cardiac Intake & Triage
Organize symptoms, risk factors and medical history into physician-ready intake summaries with prioritization cues.
03
Cardiac Diagnostic Intelligence
Combine ECG, echo, vitals, laboratory data and patient history. Proposed outputs include pattern recognition, historical comparison, risk signals and clinical summaries.
04
Cardiac AI Command Center
A centralized view of hospitalized patients supports continuous monitoring, prioritized alerts and CCU, ICU and ward oversight.
05
Remote Monitoring & Digital Care
Support selected patients after discharge with connected wearables or ECG patches, symptom tracking, reminders, secure messaging and follow-up.
Cardiac command center
Which patient needs attention, and why?
Bring monitoring trends and clinical context together to support care-team prioritization.
Proposed workflow · Physician-led interpretation
01 · Observe the trend
Connect patient signals and changes over time.
02 · Review the context
Surface relevant patterns with supporting clinical information.
03 · Prioritize clinical review
Help the responsible team identify who may need attention.
Integration & governance
Built around the clinical environment.
The proposed intelligence layer is designed to connect with hospital infrastructure and care-team workflows.
Connected information sources
HIS / EMRECGEcho & imagingLaboratory dataBedside monitoringHome devices
Responsible deployment
Privacy by design, role-based access, audit trails and secure data architecture underpin the proposed governance framework.
AI supports the physician. The physician remains the clinical decision-maker.
Proposed collaboration
A focused 90–120 day pilot.
The supplied proposal outlines a potential collaboration with the National Heart Center, Royal Hospital, Muscat, Oman. This is a proposed pilot, not an active deployment.
Phase 01
Discover
Map clinical workflows, data flows, priorities and success criteria.
Phase 02
Configure
Connect selected systems, configure alerts and validate data quality.
Phase 03
Deploy
Introduce the pilot in defined clinical units, train teams and collect feedback.
Phase 04
Evaluate
Assess outcomes, refine workflows and plan a practical expansion.
Pilot workstreams
ECG intelligence, high-risk in-hospital monitoring and remote monitoring for a selected patient cohort.
What will be evaluated
Workflow efficiency, alert relevance, clinician usability, patient adherence and readmission insights.
Intended clinical and operational value
Earlier visibility. Stronger continuity.
The proposal aims to give physicians more structured information, connect care from hospital to home, and support data-driven clinical operations.
The intended outcomes would be evaluated during the pilot. The proposed Oman collaboration also frames digital health, innovation, patient-centered services and population well-being as areas of alignment with Oman Vision 2040.