Solutions
Clinical intelligence for organisations across the care pathway
The Cardiomnis AI platform is being designed to serve the organisations that share responsibility for chronic disease outcomes, with workflows intended to suit each organisation’s role in the detection-to-prevention pathway.
Hospitals and health systems
Create a clearer view of cardio-renal risk across your patient population
Cardiomnis AI aims to help hospitals identify at-risk patients, detect unresolved care gaps, support referral pathways and measure chronic disease management across departments.
Potential applications include diabetes and hypertension registries, kidney-health screening programmes, outpatient care coordination and population-level quality improvement.
Capabilities in development
- Patient risk prioritisation
- Screening and follow-up dashboards
- Department-level care-gap visibility
- Referral tracking
- Quality and outcome reporting
Diabetes and primary-care clinics
Bring kidney-risk intelligence into routine diabetes and hypertension care
Diabetes and primary-care teams often manage large patient populations with limited time for manual review.
Cardiomnis AI is being designed to highlight missing kidney assessments, changing risk patterns and patients who may require further clinical attention.
Capabilities in development
- eGFR and UACR completion tracking
- High-risk patient worklists
- Longitudinal kidney-function review
- Follow-up reminders
- Nephrology-referral support
Nephrology clinics
Support better-timed referrals and more informed specialist review
The platform aims to help nephrology teams receive more structured patient information, identify referral priorities and coordinate with referring physicians.
It may also support longitudinal monitoring and care-gap visibility for patients jointly managed across specialties.
Capabilities in development
- Referral prioritisation
- Structured pre-referral summaries
- Longitudinal laboratory trends
- Medication-review support
- Shared follow-up tracking
Diagnostic laboratories
Turn laboratory information into opportunities for earlier intervention
Laboratory results often contain early indications of kidney risk. Cardiomnis AI aims to help laboratory networks identify screening gaps, detect relevant result patterns and support approved follow-up programmes with clinical partners.
The platform would not independently diagnose patients or communicate clinical conclusions without appropriate professional and institutional oversight.
Capabilities in development
- Kidney-screening completion analysis
- Longitudinal result-pattern identification
- Population-level reporting
- Clinical-partner referral workflows
- Preventive screening programme analytics
Additional partnership opportunities
Cardiomnis AI is also interested in collaborating with payers, employers, public-health programmes, pharmaceutical companies, clinical research organisations and academic institutions on chronic disease prevention, real-world evidence, patient identification and research workflows.
Let's find the right starting point for your organisation
Tell us about your population, workflows and priorities, and we will explore what a pilot or partnership could look like.