KidneyLongitudinal views, not diary feeds
For clinicians and health servicesYou see CKD in snapshots.
You see CKD in snapshots.
Patients live it in sequence.
KidneyMate is designed to organise structured, longitudinal patient-reported information for review while keeping clinical judgement exactly where it belongs.
Pilot conversations open · Australia
Scroll to explore ↓Intended summary scan time
Stakeholder conversations so far
The blind spot
The failure mode is not too little data. It is unstructured data without accountable review.
Adherence is recalled under pressure. Symptom histories compress months into minutes. Fluid creep, fatigue, poor sleep and disengagement form between consultations, precisely where the record is thinnest.
KidneyMate is designed to turn those daily records into organised signal rather than another raw feed.
Signal, structured for review
Trends against the patient’s baseline, with the reasoning attached.
Multi-domain records are organised across longitudinal views. Rule-based flags show what fired, why, and against which patient-specific target. Underlying records stay inspectable.
The intended output is decision support: no black-box score, no autonomous recommendation, no decontextualised alert.
The ten-minute reality
A review queue, not alert spam.
Flags are intended to be batched, prioritised and contextualised for scheduled review. Accountability is traceable. Patients control sharing. Depth is available on demand.
The clinician dashboard is in development. EHR and My Health Record pathways remain planned and gated behind validation and governance.
If you partner now, you are shaping the tool, not buying a finished one.
The conversation
stays human.
KidneyMate organises the record before the appointment so the minutes available can go to the person in front of you, not reconstruction.
Designed in the detailsThe work behind
The work behind
the calm.
Step one
A conversation
We discuss your CKD cohort, service and whether there is a genuine fit.
Step two
Scope the pilot
Define cohort, duration, affected workflows and what useful would mean.
Step three
Governance first
Ethics, privacy, data governance and clinical safety are agreed before records move.
Step four
Co-designed evaluation
Measure usability, workflow fit, signal quality and patient engagement, then publish what is learned.
Bring the between-visits
picture to your service.
Pilot conversations are open for Australian clinics, renal units, dialysis services and research teams.
Partner with KidneyMate ↗