Meneva
Meneva Health
Maternal Care Intelligence

Saving mothers through intelligent monitoring

An AI-powered platform connecting biosensor technology, community health workers, and clinical intelligence to detect and prevent postpartum haemorrhage before it becomes fatal.

© 2025 Meneva Health · Nairobi, Kenya · menevahealth.co.ke

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Patient / Woman
Health and cycle tracking
CHW / Midwife
Patient monitoring and alerts
Nurse / Attendant
Bedside monitoring and care
Physician
Clinical verdicts and analytics
Administrator
Facility metrics and oversight
County Health Officer
Population analytics
Training Module
Certification and onboarding
Hardware Module
Live biosensor field view
Forgot credentials? Reply RESET via SMS or contact your health worker
Meneva
Meneva Health
Patient Portal
Monitoring active
AO
Amina Omondi
Home
My cycle
Symptoms
My data & consent

Good morning, Amina

6 hours since delivery · Your health worker Jane is monitoring you

Postpartum monitoring active
Delivered at Pumwani Maternity · 14 May 2025 · 08:18am
Next check-in in 18 hours · Your CHW will be notified of any concerns
Protected
My cycle history
View all
1
2
3
4
5
6
7
8
9
10
14
15
16
28
Period
Today
Predicted
Postpartum check-ins
1 hr
Feeling fine, light bleeding
Done
6 hrs
Heavy bleeding, dizziness reported
Alert sent
24 hrs
Scheduled check-in
Upcoming
Day 3
Scheduled check-in
Upcoming
Report symptoms now
Bleeding
Dizziness
Fever
Blurred vision
Pain
Other
Meneva
Meneva Health
CHW Portal
1 critical alert
JW
Jane Wanjiku
Dashboard
My patients
Register delivery
Protocol guide
1
Critical alerts
2
Moderate risk
18
Active patients
3
Deliveries this week
Critical alert — Amina Omondi requires immediate attention
Heavy bleeding + dizziness · Risk: HIGH 0.75 · 6h post-delivery · Pumwani · 4 min ago
My patients
View all 18
AO
Amina Omondi
6h post-delivery · Pumwani
HIGH
FH
Fatuma Hassan
24h post-delivery · Home
MOD
GA
Grace Akinyi
Day 3 · Mathare Clinic
LOW
MN
Mary Njeri
Antenatal · 32 weeks
ANC
You can only view patients who have consented to share data with you.
Alert timeline
14:32:07
Critical alert sent to Jane Wanjiku via SMS
14:32:07
Auto-escalation armed — 10 min window
14:31:54
Symptom report received from Amina via SMS
14:28:00
6-hour check-in sent to Amina
08:18:00
Delivery registered. Monitoring initiated.
Meneva
Meneva Health
Nurse / Birth Attendant Portal
NW
Nurse Wanjiru
Bedside view
Vitals entry
Clinical notes

Bedside monitoring

Ward 4B · Pumwani Maternity Hospital · 3 active patients

Bed 4 — Amina Omondi — immediate attention required
PPH risk HIGH · Blood loss 520ml · Physician Dr. Muthoni has been notified
Bed 4 — Amina Omondi
HIGH
112
bpm
Heart rate
94%
SpO2
Oxygen
6h post-delivery · Last update 2 min ago
Bed 7 — Fatuma Hassan
MOD
96
bpm
Heart rate
97%
SpO2
Oxygen
24h post-delivery · Stable
Bed 12 — Grace Akinyi
LOW
78
bpm
Heart rate
99%
SpO2
Oxygen
Day 3 · Recovering well
All patients have consented to share clinical data with attending nursing staff. Consent is logged in the audit trail.
Meneva
Meneva Health
Physician Portal
2 escalated
DM
Dr. Muthoni
Overview
Patients
AI verdicts
Analytics
2
Escalated to you
47
Patients this month
8
High risk cases
94%
Alert accuracy
AI CLINICAL VERDICT — ESCALATED CASE
0.75
HIGH RISK
Amina Omondi · PPH suspected · 28y · Parity 1 · 6h post-delivery
The AI model has assessed Amina as HIGH risk for PPH. This verdict integrates real-time belt sensor readings — blood loss 520ml, elevated heart rate 112bpm, uterine atony on EMG — with her longitudinal health record including 3 months of menstrual cycle data showing anaemia risk. Blood loss has exceeded the 500ml clinical threshold. Immediate intervention indicated.
Blood loss (spectrophotometry)
0.35
Dizziness with bleeding
0.20
Uterine atony (EMG)
0.15
Anaemia risk (cycle history)
0.10
Amina has consented to share her data with assigned clinicians. Her anonymised data contributes to model training.
Amina — longitudinal history
Today · 6hr postpartum
PPH alert — blood loss 520ml · Risk HIGH 0.75
14 May 2025 · Delivery
Vaginal delivery · Pumwani Maternity · Monitoring initiated
Apr 2025 · Pregnancy
Pregnancy registered · ANC reminders sent · Parity 1
Jan–Mar 2025 · Menstrual
Heavy flow across 3 cycles · Anaemia risk flag set
Facility PPH analytics
Risk distribution — 47 patients
High risk
8 (17%)
Moderate risk
13 (28%)
Low risk
26 (55%)
Alert response times
Under 5 minutes
68%
5–15 minutes
24%
Over 15 minutes
8%
Meneva
Meneva Health
Hospital Administrator
AP
Admin · Pumwani
Overview
Staff
Devices
Subscription
47
Deliveries this month
+12% vs last month
8
High risk cases
-3 vs last month
94%
Alert acknowledgment rate
+2% improvement
4.2m
Avg response time
-1.1m faster
Active staff
NameRolePatientsStatus
Jane WanjikuCHW18Active
Nurse WanjiruNurse12Active
Dr. MuthoniPhysician47Active
Peter OtienoCHW0Training
Device status
Belt IDStatusBatteryLast sync
MNV-0042Active — PPH alert67%2 min ago
MNV-0043Active — stable82%5 min ago
MNV-0044Standby100%1 hr ago
Subscription status
Plan
Facility Pro — 3 devices
Monthly fee
$350 / month
Next renewal
15 June 2025
Subscription active
3 devices registered. 4 staff members with active access. Auto-renews 15 June 2025.
Meneva
Meneva Health
County Health Intelligence
CH
County Health Officer · Nairobi
County overview
Facilities
PPH trends
MoH report

Nairobi County — Maternal Health Dashboard

Anonymised aggregate data only · No individual patient records · May 2025

1,247
Deliveries this month
89
PPH cases detected
97%
Resolved without fatality
3
Facilities on Meneva
Enrolled facilities
PH
Pumwani Maternity Hospital
3 devices · 47 patients this month
Active
KN
Kenyatta National Hospital
5 devices · 112 patients this month
Active
MC
Mathare Hospital
2 devices · 28 patients this month
Active
All data is fully anonymised. No individual patient records accessible at county level.
PPH outcomes this month
Detected and resolved
86 (97%)
Escalated to hospital
23 (26%)
Emergency services
4 (5%)
Maternal fatalities
3 (3%)
Meneva
Meneva Health
Training and Certification
PO
Peter Otieno · CHW Trainee
My training
Modules
My certificate
Complete training to unlock full portal access
You must complete all 5 modules and pass the competency assessment before your CHW portal is activated and you can use the Meneva belt in the field.
Training progress
60%
3 of 5 modules complete
Estimated time remaining: 45 minutes
Module status
1. Understanding PPH and maternal risk
Completed · 12 min
Done
2. Using the Meneva platform
Completed · 18 min
Done
3. Responding to alerts
Completed · 15 min
Done
4. Fitting and using the Meneva belt
In progress
In progress
5. Competency assessment
Unlocks after module 4 · 25 questions
Locked
Meneva Belt · Live Sensor Feed
Belt ID: MNV-0042 · Patient: Amina Omondi · Ward 4B
Streaming
Live biosensor readings — updates every 2 seconds
Heart rate
112
bpm · PPG sensor
Elevated · normal 60–100
SpO2
94
% · PPG sensor
Low · normal 95–100
Blood loss
520
ml · spectrophotometry
Above 500 ml threshold
Uterine EMG
Low
tone · EMG sensor
Atony detected
Data pipeline — belt to AI verdict
Belt sensors
PPG · EMG · Thermistor · Spectrophotometry every 30 sec
→
Patient history
Cycle data · Antenatal record · Diagnoses · Parity
→
AI risk engine
Weighted scoring · Safety overrides · <500 ms
AI verdict — sensor data combined with patient history
0.75
HIGH RISK
PPH detected — immediate intervention indicated
The AI model combines live belt sensor readings with Amina's 3-month menstrual cycle history flagging anaemia risk, antenatal record, and real-time sensor values. Blood loss has crossed the 500 ml clinical threshold. Uterine atony detected via EMG.
Blood loss (spectrophotometry)
0.35
Dizziness + heavy bleeding
0.20
Uterine atony (EMG)
0.15
Anaemia risk (cycle history)
0.10
Historical detection — previous data informing current verdict
Jan 2025
Heavy
Cycle flow
Feb 2025
Flag
Anaemia risk
Mar 2025
Heavy
Cycle flow
Apr 2025
ANC
Registered
14 May
Birth
Delivered
Now · 6 hr
HIGH
PPH alert
Data consent active. Amina has consented to share real-time sensor data with her care team. Her anonymised data contributes to AI model training. She can withdraw at any time from her patient portal.