{{ pageTitle }}

{{ pageSub }}
ID · EN · TH
1 Jun – 7 Jul 2026
Cohort: All
{{ k.label }}
{{ k.value }}{{ k.trend }}
{{ k.hint }}
Engagement Trend
Active patients messaging per day · last 7 days
Active
{{ l }}
Adherence by Cohort
Confirmed medication intake rate
{{ c.code }} · {{ c.short }}{{ c.adherence }}%
Message Heatmap
Message volume by hour & weekday
{{ r.hour }}
{{ d }}
AI Performance
1,245
Responses
89%
Avg confidence
TOP TOPICS
{{ t.label }}{{ t.pct }}%
#
Patient
WhatsApp
Cohort
Adherence
Status
{{ p.num }}
{{ p.initials }}
{{ p.name }}
{{ p.meta }}
{{ p.phone }}
{{ p.cohort }}
{{ p.adherence }}%
{{ p.badgeLabel }}
Showing 1–{{ patientCount }} of 46 patients
{{ pd.initials }}

{{ pd.name }}

{{ pd.badgeLabel }}
{{ pd.reg }}{{ pd.age }} yrs · {{ pd.genderFull }}Enrolled {{ pd.enrolled }}
Patient Info
WhatsApp{{ pd.phone }}
Cohort{{ pd.cohortName }}
Country{{ pd.country }}
Language{{ pd.language }}
City{{ pd.city }}
Medical Summary
Condition{{ pd.condition }}
Allergies{{ pd.allergies }}
Weight / Height{{ pd.wh }}
Blood Pressure{{ pd.bp }}
Blood Type{{ pd.blood }}
Medications
{{ m.name }} · {{ m.dosage }}
{{ m.freq }} · {{ m.times }} · {{ m.instructions }}
{{ m.badgeLabel }}
Care Team
{{ pd.docInitials }}
{{ pd.docName }}
{{ pd.docSpec }} · Attending doctor
DK
Ns. Dewi Kartika
Diabetes Care Nurse · Monitoring
Researcher Notes
{{ pd.notes }}
{{ d.initials }}
{{ d.name }}LEAD
{{ d.roleLabel }}{{ d.specialty }}
{{ d.badgeLabel }}
{{ d.phone }}
{{ d.email }}
{{ d.patients }}
Patients
{{ d.cohorts }}
Cohorts
{{ c.code }}
{{ c.name }}
{{ c.criteria }}
{{ c.badgeLabel }}
{{ c.patients }}
Patients
{{ c.adherence }}%
Adherence
{{ c.country }}
Region
{{ t.title }}
{{ t.categoryLabel }}
{{ t.lang }}
{{ t.body }}
Variables:{{ v }}
Broadcast
Audience
Scheduled
Delivery
{{ b.title }}
{{ b.badgeLabel }} {{ b.catLabel }}
{{ b.audience }}
{{ b.sentAt }}
{{ b.delivered }}/{{ b.target }}
1
Compose Message
MESSAGE PREVIEW
Selamat pagi {name}, jangan lupa minum obat Anda hari ini: {schedule}. Semoga sehat selalu! 🌿
Variables{name}{schedule}
2
Choose Audience
3
Schedule

Morning Medication Reminder

Medication reminder · sent 10 Jul 2026, 08:00 WIB · by Dr. Rahmawati
Sent
12
Recipients
12
Delivered · 100%
11
Read · 92%
0
Failed
Recipients
#
Patient
Status
Sent
Read
{{ r.num }}
{{ r.name }}
{{ r.phone }}
{{ r.badgeLabel }}
{{ r.error }}
{{ r.time }}
{{ r.read }}
{{ s.name }}{{ s.cadence }}
Template
{{ s.template }}
Audience
{{ s.audience }}
Schedule
{{ s.cron }}
{{ s.cronLabel }}
Next Run
{{ s.next }}
{{ s.runs }} runs · last {{ s.last }}
{{ c.initials }}
{{ c.name }}{{ c.time }}
{{ c.preview }}
{{ c.cohort }}ESCALATED
{{ acInitials }}
{{ activeConvo.name }}
{{ activePatient.phone }} · {{ activeConvo.cohort }}
AI Auto-reply ON
TODAY
{{ m.body }}
{{ m.time }}AI
AI Context
Patient{{ activePatient.name }}
Condition{{ activePatient.condition }}
Active meds{{ activePatient.adherence }}% adh.
SessionActive
DATA USED BY AI
Patient profile
Active medications
Conversation history
Cohort & language
ATTENDING DOCTOR
{{ acDoctor }}
Available for consult
Jun 2026
Cohort: COH-A
87.3%
Overall adherence
91.2%
Morning dose (08:00)
83.4%
Evening dose (20:00)
Weekly Adherence Trend
Confirmed intake rate per week
{{ w.val }}%
{{ w.label }}
At-Risk Patients· adherence below 70%
{{ p.initials }}
{{ p.name }}
{{ p.cohort }} · {{ p.missed }} missed doses
Adherence{{ p.adherence }}%
Report Type
{{ r.label }}
{{ r.desc }}
Scope
Format
Export ready-to-use datasets
Compatible with SPSS, R, STATA & Python (pandas). Includes a variable codebook.
Dataset Level
Patient-Level
1 row / patient, aggregated
Event-Level
1 row / message or event
Daily-Level
1 row / patient / day
Variables
Preview · first rows, anonymized
ID
Age
Gender
Cohort
Adh%
Msgs
PT001
45
M
COH-A
92
87
PT002
38
F
COH-A
62
54
PT003
52
M
COH-B
88
63
waswuz.com Connection
Official Meta Business Partner
Connected
Phone Number+628****6789
PlanLite · Rp 199k/mo
Phone ID10983…4471
CoexistenceEnabled
API Configuration
Webhook Events
LLM Provider
Model powering patient conversations
Response Behavior
Auto-reply
AI answers patients automatically
Max history context
Messages included in RAG context
msgs
Session timeout
Inactivity before session closes
min
Emergency Escalation
If a message contains an emergency keyword, auto-escalate to the researcher instead of AI reply.
sakit parah darurat gawat sesak pendarahan
{{ pageTitle }}
This screen is part of the prototype and will render here.

Add New Patient

PERSONAL INFO
Gender
MEDICAL & RESEARCH
PRESCRIBED MEDICATIONS{{ medCount }} added
Medication {{ m.num }}

Import Patients from CSV

1
Download the CSV template
2
Upload your file
Drop CSV here or browse
patients_batch.csv · up to 500 rows
3
Column mapping (auto-detected)
"nama"full_name
"phone"whatsapp_number
"usia"— Ignore —⚠
"kondisi"primary_condition

Confirm Broadcast

You are about to send this broadcast to 12 patients in COH-A · Diabetes Type 2.

PREVIEW · TO +62 812 ****1234
Selamat pagi Budi, jangan lupa minum obat Metformin Anda jam 08:00 & 20:00 hari ini ya! 🌿
12 recipients
Delivery: Now
This action cannot be undone once messages are queued.

Add Health Staff

Role *
Assigned Cohorts