JamunJar

24×7 health risk management

Detect earlier. Act faster. Recover better.

The JamunJar AI Health OS watches your health journey, identifies early warning signs and prioritises risks, so the right care team can act before small problems become major complications.

  • AI Health OS
  • Health Analyst review
  • Doctor Health Manager
  • Structured escalation

Recovery & risk control tower

Illustrative dashboard · sample data

18

Overall risk score

Low overall risk. One active mobility concern.

Recovery
Low
Falls
High · needs attention
Metabolic
Moderate
Medication
Excellent
Sleep
Poor
Activity
Moderate
Nutrition
Good

Human review, informed by AI

Mobility change identified. Health Analyst review completed and Doctor Health Manager notified. Fall precautions and sleep quality flagged for review.

Why continuous monitoring matters

Every complication starts as a small signal.

Traditional care

  • Small changes go unnoticed
  • Symptoms worsen before family notices
  • Hospital visits can delay recovery

With JamunJar

  • Early signals are detected and interpreted by AI
  • Health Analyst validates; Doctor Health Manager reviews
  • Care action is coordinated and outcomes rechecked

What we monitor

One view across your health.

The monitoring mix adapts to your condition and program. Every signal contributes to a shared view of risk.

Recovery

Pain, mobility, walking, balance, range of motion, strength, swelling, falls and therapy adherence.

Lifestyle

Activity, steps, sleep, stress, diet, protein, hydration and exercise.

Medication

Adherence, missed doses, injection schedules, side effects and prescription renewals.

Clinical

BP, weight, body fat, muscle, glucose, pulse, oxygen and temperature.

Diagnostics

HbA1c, creatinine, LFT, CBC, cholesterol, Vitamin D, B12, CRP and condition-specific markers.

Behaviour & function

Confusion, mood, appetite, communication, independence and caregiver observations.

How it works

Technology detects. Clinicians interpret.

  1. 01

    Patient and device data collected

  2. 02

    AI Health OS identifies risk

  3. 03

    Health Analyst validates

  4. 04

    Doctor Health Manager reviews

  5. 05

    Care team takes action

  6. 06

    Outcomes monitored

  7. 07

    Plan recalibrated

Risk prioritisation

The right response to every signal.

Severity and clinical context determine the level of attention and escalation.

Low risk

Continue the current plan, routine AI monitoring and scheduled review.

Moderate risk

Doctor Health Manager notified, closer observation and plan modification if required.

High risk

Prompt clinical review, increased monitoring and care-team intervention.

Critical risk

Immediate escalation to the treating doctor, hospital or emergency services where clinically indicated.

Examples of risks we detect

Different risks. One control tower.

Condition-specific rules combine patient inputs, care-team observations, devices and longitudinal trends.

01Recovery

Increasing pain, slower walking, worsening range of motion, muscle loss, swelling, falls and poor therapy adherence.

02Metabolic

Weight plateau, rising blood sugar, medication side effects, protein deficiency, low activity, poor sleep and high BP.

03Elderly & dementia

Worsening confusion, falls, reduced appetite, missed medication, dehydration, reduced communication and instability.

04Cardiac

Fluid retention, rapid weight gain, high BP, breathlessness, low activity and poor medication adherence.

05Post-ICU

Low oxygen, weakness, poor nutrition, confusion, reduced activity tolerance and new fever.

06Complex care

Abnormal diagnostics, unexpected vital changes, medication non-adherence, new complaints and caregiver-reported deterioration.

When a risk appears

From signal to follow-through.

  1. 01

    AI detects a change

  2. 02

    Health Analyst validates

  3. 03

    Doctor Health Manager interprets

  4. 04

    Care plan updated

  5. 05

    Patient or family contacted

  6. 06

    Care team coordinated

  7. 07

    Outcome rechecked

  8. 08

    Risk closed or escalated

Powered by the AI Health OS

Risk management at every layer.

1Longitudinal Health RecordOne evolving view of the patient.

Medical reports, prescriptions, radiology, labs, surgeries, vitals, body composition, symptoms, activity, diet, sleep, medication, wearables and provider notes.

2Clinical Goal EngineDefines what success looks like.

Transforms records into measurable recovery, reversal, clinical and lifestyle goals: HbA1c, walking, pain, weight and protein intake.

3AI Care PlanningCreates the next best plan.

Generates weekly diet, exercise, medication, diagnostics, recovery and follow-up plans based on goals and the latest data.

4Continuous MonitoringCaptures what is actually happening.

Integrates activity, food, Bluetooth devices, weighing scales, BP, CGM, self check-ins, medication logs and provider updates.

5Adherence & Outcome EngineMeasures whether the plan is working.

Calculates diet, exercise, medication and activity adherence alongside Recovery, Metabolic and Outcome Scores.

6AI Prediction & Risk EngineLooks ahead instead of waiting.

Identifies emerging muscle loss, falls, readmission, frailty, non-adherence, weight plateau and clinical deterioration risks.

7Continuous Care OrchestrationTurns intelligence into action.

Routes the right intervention to the Health Manager, doctor, nurse, physiotherapist, dietician, diagnostics, patient or family.

Across JamunJar

One platform. Different care journeys.

Your goals, metrics and care team change with your program. The connected approach stays the same.

Recovery

Mobility, strength and independence after stroke, joint replacement, ACL or spine surgery, fractures, neurological rehabilitation and ICU care.

Reversal

Metabolic health management for weight, GLP-1, diabetes, fatty liver, PCOS, thyroid, hypertension and cardiovascular risk.

Continuous care

Ongoing support for elderly care, dementia, Parkinson’s, heart failure, COPD, cancer, dialysis and transplant monitoring.

Why JamunJar is different

Continuous ownership of your care.

Traditional care

  • Visits every few weeks with a static care plan
  • Reactive follow-up and fragmented records
  • You coordinate providers; problems may be found late

With JamunJar

  • Continuous monitoring and dynamic care plans
  • AI-supported prediction with doctor oversight
  • One care ecosystem for early identification and escalation

Your risk management team

Human expertise around you.

Health Analysts decode records and validate insights. Doctor Health Managers interpret clinical significance and coordinate specialists and care providers.

One connected care team

You, at the centre

  • Specialists
  • Physiotherapists
  • Nurses & attendants
  • Dieticians
  • Diagnostics
  • Pharmacy
  • Family
  • AI Health OS
  • Health Analyst
  • Doctor Health Manager

Stay connected to what matters.

Connect with our care team to find the right support for your health journey.

Talk to our care team