Clinical Decision Support

African mother and child in telemedicine consultation with a remote doctor

MEDTRAC™

Venture profile

Practitioner-in-the-loop guidance aligned to protocols and local clinical governance.

MEDTRAC™ clinical decision support helps health professionals organise complex patient information, identify patterns across assessment sources and produce structured reports for triage, review and follow-up. It supports professional judgement. It is not intended to replace qualified health professionals or make unsupervised clinical decisions.

What CDSS helps professionals do

Organise complex patient information
Identify patterns across multiple assessment sources
Generate targeted follow-up questions
Deliver personalised questionnaires through the portal for follow-up assessment
Highlight areas requiring practitioner review
Compare current and historical findings
Support triage and referral decisions
Use triage tools incorporating applicable WHO standards and guidance
Produce structured practitioner and patient reports
Track interventions and outcomes over time

Practitioner in the loop

AI-assisted workflows are reviewed by qualified professionals. Screening signals, practitioner observations and validated findings remain clearly separated, with defined escalation pathways to clinics, laboratories and hospitals.

Practitioner review queues
Remote specialist and diaspora-professional support
Missing-information detection and targeted follow-up
Audit trails for assessments, decisions and follow-up
Clear distinction between screening signals and confirmed findings

Validation target — not an established claim

During post-funding Digital Health Appliance field trials, an internal evaluation target is to assess whether the system can achieve approximately 90% CDSS accuracy under blinded laboratory confirmation where appropriate. Approximately 90% is a validation target for evaluation — not an established performance claim.