Primary Care Intelligence
Klinik Kesihatan Network · KKM
DEMO · ANONYMISED · SYNTHETIC DATA
Network gradeA-
Live 14:02
Network footprint

Clinics - by volume

Intelligence

Clinics needing attention

ranked by composite risk · tap to inspect
Auto-generated network briefing

Week of 09-15 Jun · 16 Klinik Kesihatan live

Disease profile

Top condition trends

monthly diagnosed cases · ICD-10 coded
Forecast

Emerging & rising conditions

next 8 weeks · model projection

Burden by age band

diagnosed cases per condition, stacked by patient age

Care mix

Specialty distribution

Point-of-care lab

Most-used on-device tests

Consultation flow

Visit funnel

selected period · network-wide

Drop-off is where intelligence lives: doctor-cancelled and patient-not-joined are recoverable with scheduling and connectivity fixes.

Throughput

Daily consultation volume

Doctor utilisation

load and timing by specialty

Experience

Patient feedback

94%
satisfaction · 1,213 rated consults
5★ 1,1403-4★ 58≤2★ 15
Pharmacy

Prescription vs availability

Fully fulfilled 66.7% · 737
Partially fulfilled 29.2% · 323
Not fulfilled 4.1% · 45
Availability rate 86.2% · 1,105 scripts

Quality assessment

audit coverage and rater scores

Rx fulfilment by clinic

lowest fulfilment surfaces a stocking or supplier gap

Platform

Edge uptime & response

network.myzoyel.health · today
UptimeResponse (s)
Support

Ticket resolution time

SW highSW medSW lowHW

Operational workstreams

tasks & events across the network

Data feeds in this console

Demonstration only. Klinik Kesihatan names illustrate the KKM primary-care network; physicians, locations and all figures are synthetic and illustrative. Field structure mirrors live MyZoyel exports - visit details (status, queue/consult timing, diagnoses, prescriptions, POC tests, feedback), daily & unit-daily summaries, doctor/nurse ratings and user-activity logs - so panels reflect what the platform actually emits. The console layers intelligence on top of operational reporting: cross-clinic benchmarking, a composite attention score, condition forecasting and an auto-generated briefing, rather than only restating raw counts. Patient identifiers never reach this layer.