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    • NIrvikara AI
    • Who we are
      • Overview
      • Purpose & values
      • Sustainability
      • Newsroom
    • What we do
      • AI Powered Health Records
      • Patient Need Analysis AI
      • AI Power Preventive care
      • AI Powered Ayurveda
      • AI Powered Homeopathic
    • Our Industries
      • Medical record AI analyse
      • Health & Life Sciences
      • Cost Effective Medical
      • Legal Help Insurance
    • Our Team
      • Expert Team Driven
      • Team Nostalgia
      • Word from Founder
    • Careers
    • Contact
    • Health Record Login
  • NIrvikara AI
  • Who we are
    • Overview
    • Purpose & values
    • Sustainability
    • Newsroom
  • What we do
    • AI Powered Health Records
    • Patient Need Analysis AI
    • AI Power Preventive care
    • AI Powered Ayurveda
    • AI Powered Homeopathic
  • Our Industries
    • Medical record AI analyse
    • Health & Life Sciences
    • Cost Effective Medical
    • Legal Help Insurance
  • Our Team
    • Expert Team Driven
    • Team Nostalgia
    • Word from Founder
  • Careers
  • Contact
  • Health Record Login

For a life where health and happiness walk together

Two medical professionals in a meeting with coffee and documents.

Nirvikara Health Wellness AI Powered Preventive care

 

AI‑powered preventive care, integrated with secure medical record storage, transforms India's fragmented system into an affordable, proactive wellness engine—leveraging ABDM/ABHA for unified data and delivering a dynamic "Wellness Score" to guide users. Nirvikara implements this to cut costs by 20–40% through early interventions, reducing NCD burden (projected ₹2.1 lakh crore by 2025).

 

Standard preventive health packages in India typically include 20–80+ tests focusing on NCD risks (diabetes, HTN, lipids, organ function), priced ₹399–₹10,000 based on tier, with home collection common via labs like PharmEasy, Lal PathLabs, Redcliffe.

Common Tests by Package Tier

Govt/HWC (Free for 30+, Population Screening)

  • CBAC Risk Score: Tobacco, alcohol, physical activity, family hx.
  • Core: BP, RBS (>140 mg/dL → confirm), BMI.
  • Referral Triggers: Oral/visual/pruritus exam for cancers.

Private Basic (₹399–1,599; 20–40 tests)

CategoryTests IncludedBloodCBC (Hb, platelets, WBC), FBS/RBS, HbA1c, Lipid Profile (cholesterol, triglycerides, HDL/LDL), ESROrgan FunctionLFT (ALT, AST, bilirubin), KFT (creatinine, urea, uric acid)OthersUrine routine, TSH (thyroid)

Examples: PharmEasy Basic (₹799), Redcliffe Smart (₹799).

Comprehensive/Master (₹1,870–5,000; 50–80 tests)

CategoryTests IncludedBloodAll basic + Vitamin D/B12, Iron profile, GGTOrganFull LFT/KFT + amylase, electrolytesCardiacECG, Stress test (TMT) optionCancerPSA (men 45+), CA-125/PAP smear (women 40+)ImagingUSG abdomen/pelvis, Chest X‑rayOthersStool routine, RA factor

Examples: Lal PathLabs Swasthfit (₹1,870), Star Master (₹3,530).

Premium (₹5,000–14,000; 80+ tests)

Adds: DEXA bone, mammogram/PSA, Echo, PFT, Vitamin panel, tumour markers (CEA, AFP).


Indian Landscape: Why AI + Records + Wellness Score Fits

India's preventive care lags: 60% NCD deaths premature; out‑of‑pocket spend at 62%; 42 crore ABHA IDs link 5+ crore records across 1.3 lakh facilities, but siloed and underused for prediction. AI unlocks this for personalised nudges (e.g., diabetes risk via trends), saving ₹500–2000/mo per user via fewer visits. Apps like HeyDoc already demo WellnessGPT for ABHA‑driven scores and reminders.

Detailed Implementation Plan for Nirvikara

1. Core Infrastructure (Months 1–2)

  • ABHA/PHR Vault: ABDM‑certified storage for prescriptions, labs, vitals, vaccines—OCR for handwritten notes; family profiles (up to 10 members). Consent‑based sharing; HIPAA/NDHM compliant.
  • Data Pipeline: ETL from wearables (steps/sleep), manual inputs, teleconsults; anonymise for ML training.

2. AI‑Powered Wellness Score (Months 2–4)

  • Score Calculation: Holistic 0–100 metric, refreshed daily/weekly:
    ComponentWeightInputs & AI LogicExample BoostersVital Trends (30%)Vitals, labsML detects anomalies (e.g., HbA1c creep → -10 pts)Stable BP/glucose (+15 pts)​Lifestyle (25%)Steps, sleep, diet logsNLP from food photos; adherence scoring8k steps/day (+10); balanced meals (+12)​Dosha/Agni Balance (20%)Symptoms, prakriti quizAyurveda ML mapping (e.g., Vata calm → +15)Dinacharya compliance (+18)​Risk Prediction (15%)Family history, agePredictive models (e.g., 10% diabetes risk → -8)Screenings done (+10)Mental Wellness (10%)Mood logs, stress quizSentiment analysis (+ mood trends)Meditation streaks (+12)​
    • Visual Dashboard: Traffic light (Green 80+: Optimal; Yellow 60–79: Watch; Red <60: Act); trends graph; "What moved my score?" explanations.
    • Benchmarking: Compare anonymised vs. peers/age group (e.g., "You're top 20% for sleep in 40+ Indians").

3. Preventive Care Engine (Months 4–6)

  • Personalised Nudges: Score‑driven alerts:
    • Yellow: "Wellness dip: Try 5‑min pranayama for Vata."
    • Red: "Sugar trend rising—book ₹199 glucose check; add bitter greens."
    • Proactive: "Monsoon ahead—Kapha detox plan to prevent allergies."
  • Multi‑Tier Plans (Affordability Focus):
    TierPriceFeaturesSavings ImpactFree₹0Basic score, diet tips, reminders15% fewer self‑meds​Core₹99/moFull score, AI plans, generic sourcing25% visit reduction (₹1500 saved/yr)​Pro₹299/moWearable sync, teleconsults, branded kits40% NCD cost cut; doorstep tests
  • Cost Controls: Bulk generics via tie‑ups (Apollo24x7); subsidies for Ayushman users; predict/pre‑buy preventives (e.g., Vit D before winter).

4. User Engagement & Delivery (Ongoing)

  • Onboarding Flow: ABHA scan → baseline score → 60‑sec quiz → first plan.
  • Channels: App, WhatsApp bot, voice (Hindi/Tamil); offline caching for rural.
  • Monetisation Safeguards: Free core hooks premiums; no upselling risks.

5. Rollout & Metrics (Months 6+)

  • Phased Launch: Beta (10k Maharashtra users) → National via ABDM (target 1M by 2027).
  • KPIs: +15 pt avg score gain; 30% cost savings (tracked via claims); 80% retention; ROI: 3–5x via reduced escalations.
  • Partnerships: CCRAS/ICMR for validation; Helius/SecondMedic for co‑dev; MoHFW for scale.
  • Risk Mitigation: Bias audits; doctor oversight for scores <50; transparent ML (e.g., "Score based on 85% lab confidence").

This makes preventive care a habit, not hassle—e.g., a Delhi user saves ₹12k/yr on diabetes prevention via early score alerts. Nirvikara becomes the "Health Scorekeeper" for 840M ABHA citizens, driving Viksit Bharat wellness. Ready for wireframes or pilot specs?

Copyright © 2026 Nirvikara Health AI Driven - All Rights Reserved.

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