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Jio Arogya — Pre-Investment Validation

Jio Arogya — Principles, Decisions & Operating Model

We believe that key modalities of healthcare delivery and organization can, will and should change in the next 10 years. We are building the infrastructure that drives this change. A healthcare for every Indian that is data and evidence based, abundant, preventative and customer-centric.

  1. Abandon Industrial Revolution Healthcare: Our hospital centric system was built for an acute disease burden, which has inverted to chronic (70% of the burden today). The hospital center model was built when both the technology and the knowledge was centralized (i.e., in the walls of the building and in the physician’s head). Chronic needs to be managed differently (30-40% clinical and 60% environmental, behavioral and social drivers). Current industry incentives are built around providing more high cost clinical services and products rather than improving outcomes.
  2. AI inference costs collapse the supply constraint: India has 70 doctors per 100,000 people; 60% of primary-care interactions in low-income India are with unqualified providers. Whole genome sequencing fell from $3B in 2003 to under low hundreds of dollars today — faster than Moore’s Law for 15 years. Clinical AI inference sits on the same trajectory: ~$100/member/year today, $10–15 within four years. This enables 80% task-shifting to AI + community health workers. The window during which depth, data, AI, and regulation combine into a structural moat is short.
  3. Not all data is equal: Longitudinal data is specifically what we need to capture. We fundamentally believe that Longitudinal biological and medical data is uniquely valuable because it captures how health changes over time—revealing trajectory, response, and progression that static cross sectional datasets cannot. That makes it especially powerful for prediction, precision care, and therapeutic discovery when linked across rich clinical and molecular data. This is what will underpin both a bio and a personalized medicine strategy and development for us.
  4. India is the world’s most valuable un-sequenced biological population. 1.4 billion people. 4,600 endogamous population groups. 7 million novel genetic variants. Almost none of this exists in the global research base. Indian patients receive treatments designed for European genomes. Pharma that wants to develop for South Asian disease biology cannot do it today. India can run trials at 1/10th US cost with 10x faster enrollment. A pre-consented, genotyped, continuously-monitored Jio Arogya cohort is a structural asset that cannot be replicated.
  5. How to capture Longitudinal Data: Longitudinal data is valuable but operationally hard to obtain at scale—retention, consistent testing, and cost are the barriers. The largest longitudinal study today in India is the LASI study with 72,000 in phase 1. The largest globally are the All of Us (US) and UK Biobank (UK) with 1 million and 500K participants respectively. To obtain this efficiently, it must be captured as a by-product of a long term, high retention customer relationship. This is why we play a key role in directly providing care.
  6. No fixed healthcare supply: While we want to provide care, we will focus on building intelligence and flexible supply, not clinics or hospitals. Return-on-asset math corrupts clinical decisions and makes one focus on volume; we refuse that structure. Less than 15% of total capex in our plan will be on clinics, buildings, and/or pods.
  7. Trust at the individual level is a pre-condition to providing care: Trust in preventative healthcare is produced by witnessed commitment rather than by formal authority or brand alone. The implication of this is that we believe that a model where a live person owns and builds the relationship with a patient will have higher retention, better care outcomes, and create more opportunities for data capture.
  8. We will build a new healthcare workforce around the frontline worker going to the home: The core instrument is the community health worker, augmented by a 24/7 AI doctor in 8+ Indian languages, ambient monitoring through existing Jio devices, and point-of-care diagnostics. A pod sees 38 symptomatic walk-ins per day and misses 75% of the catchment. Half of India’s hypertensives are undiagnosed; they will not walk into a pod. CHW + AI reaches every home. This personal relationship is key to building trust and creating locally specific models of care. This also solves the other key challenge - demand for primary care is extremely challenged and any inconvenience or friction dramatically suppresses it.

Jio Arogya - Key Decisions

For a 90-day sprint · 21 April 2026

Covers every material decision: Proposition, Build Posture, Commercial Model, Structure, and Strategic Boundaries. Each decision is tagged for timing: Sprint (close by end-July 2026 to make the plan fundable), Pilot (close by end-October 2026 with pilot design in hand), Post-pilot (close after six months of pilot signal), or Principal (MDA-level call made during the sprint, not inside it).

Timing legend: Sprint (July 2026) · Pilot (October 2026) · Post-pilot (H1 2027) · Principal (MDA call)

1. Proposition

Who is the member, what are we selling, where do we start, and what clinical scope is inside the bundle.

Decision Options Timing Informing activities
Beachhead segment Urban cardiometabolic 45-65 (₹3-4L) / Urban longevity 30-45 (₹75K-1.5L) / Employer group / Jamnagar captive / Sequenced two-step Sprint - Willingness-to-pay survey n=300+ across candidate segments
- CAC estimation via Jio App enrolment test in two cities
- Actuarial baseline for each segment from Jio Allianz
- Retention and engagement benchmarks from comparable international programs (Oak Street, ChenMed etc)
Price architecture Family floater bundled into Allianz premium / Standalone subscription / Employer capitation / Tiered (basic + premium) Sprint - Actuarial pricing co-developed with Jio Allianz
- Conjoint analysis on bundle vs standalone preference
- Competitive pricing scan (Niva Bupa, HDFC Ergo, Apollo 24/7 etc.)
- IRDAI view on bundled add-ons to insurance premium
Product scope - what services sit inside the bundle Core primary + chronic disease only / + mental health / + maternity / + fertility / + oncology navigation / full-service Pilot - Claims distribution analysis by specialty from Allianz and comparables
- Clinical-risk assessment on out-of-scope handoffs with medical advisory
- Bundle-preference conjoint at member level
- Partner-availability review (oncology, fertility specialists)
Geographic sequence Mumbai-first / Jamnagar-first + city-two in Y2 / Three-city parallel (Mum/Blr/Hyd) / Tier-2 test city Sprint - Claims density and NCD prevalence mapping by city
- Jio user density and Jio Allianz GTM by city
- Reliance retail footprint and hospital-partner quality by city
- Operational readiness assessment (CHW hiring, clinical leadership pipeline) by city

2. Build posture

For each component of the operating system, what we own, what we partner for, what we refuse to do.

Decision Options Timing Informing activities
Physical footprint Thin own (<15% of capex) / Franchise / Partner existing clinic-chain networks / Zero physical Sprint - Economic model for each option — capex, opex, per-member cost at 100K and 1M scale
- Footfall and utilization economics from Jamnagar pilot pods
- Franchise and partner-model benchmarks (Apollo, 1mg)
CHW cadre model Salaried own-payroll / Gig platform / Third-party outsourced cadre / Hybrid · Ratio 1:500 to 1:2,000 Sprint - Clinical-touch requirement modelled against CHW skills and home-visit density
- CHW or Clinical Concierge/Navigator?
- Retention and protocol-adherence data from Jan Swasthya Sahyog, Piramal Swasthya, MAS India
- Time-and-motion study with 20 CHWs
- Cost modelling across employment models at three density ratios
- Training cycle and certification pathway design
- Identification of ideal profile and background for recruiting
Clinical AI stack Jio Brain exclusive / Model-agnostic (Anthropic, OpenAI, open-weights) / Both in parallel Sprint - Safety benchmarking across providers
- Fine tuning data needs and planning
- Cost-per-inference modelling at 100K, 1M, 10M member scale
- India data-residency and DPDPA review for each provider
- Latency and availability SLAs across providers
Biobank infrastructure Onshore centralized / Onshore distributed / Strand-hosted / Third-party biobank specialist Sprint - Vendor evaluation (Strand, Eurofins, purpose-built biobank operators)
- LIMS benchmark and consent-platform compliance review under DPDPA
- Sample chain-of-custody and retrospective-assay protocol design
- International biobank architecture study (UK Biobank, FinnGen, All of Us)
Hospital network model Preferred network at negotiated rates / Exclusive carve-outs / Agnostic navigation Pilot - 10-hospital MoU negotiations in pilot city to test rate-card leverage
- Claims-leakage analysis by hospital tier
- Legal review of exclusive-arrangement risk for navigation neutrality
- Quality-signal data (outcomes, complications, readmissions) by partner hospital

3. Commercial model

Where margin accrues, how money flows between insurer and care entity, how the Data Dividend is structured.

Decision Options Timing Informing activities
Which two P&Ls underwrite the plan Insurer + Research / Insurer + Subscription / Research + Subscription / Insurer + Group-synergy Sprint - Bottom-up financial model for each P&L across three scenarios
- Claims-savings sensitivity on the insurer P&L (MLR delta by lever)
- Data Trust revenue modelled against UK Biobank, deCODE, 23andMe, Grail precedent shapes
- 10-15 pharma R&D head conversations to size Indian willingness-to-pay
Insurer-Care money flow PMPM management fee / Share of claims savings / Intervention-budget pass-through / Capitation Sprint - IRDAI precedent and regulatory review for each structure
- International analogue review (Oak Street, ChenMed, Iora Health, Oscar)
- Financial modelling of three variants at pilot and scale
- Co-design sessions with Jio Allianz actuarial and finance teams
Data Dividend structure Cash/credits to member / Premium discount / Equity-like unit in Data Trust / Mixed Pilot - Legal review of each structure under DPDPA and SEBI
- Member-trust research across candidate mechanisms
- Precedent review (All of Us return-of-value, Sage Bionetworks, 23andMe research credits)
- Tax and accounting treatment analysis

4. Structure

Legal entities, governance, leadership, and reporting lines inside Reliance.

Decision Options Timing Informing activities
Legal entity structure Two (insurance + care) / Three (+ Data Trust) / Four (+ platform co) Sprint - Tax and regulatory review with external counsel
- DPDPA data-fiduciary implications of each structure
- Exit-optionality modelling (strategic, PE, IPO pathways)
- Intercompany pricing and data-sharing framework design
Data Trust governance Reliance-controlled board / Majority-independent board / Section 8 with Scientific Advisory Committee Sprint - Comparable governance study (UK Biobank, FinnGen, All of Us, deCODE)
- Reputation and narrative-risk review with external communications counsel
- Legal counsel drafting of trust deed and access policy
- Advisory board composition plan
Jio Allianz relationship Exclusive wrap / Anchor plus open to other insurers / Horizontal platform across insurers Principal - Allianz leadership dialogue — exclusivity, pricing, data access
- Platform-vs-vertical strategic analysis with TAM and moat implications
- IRDAI view on platform structure
- Competitive analysis of other insurers’ positioning
OS owner inside Reliance MDA office direct report / JFS / Jio Platforms / Standalone new vertical Principal - Reliance governance and cross-entity precedent review
- Accountability mapping across insurance, care, data, research
- MDA office consultation on reporting line and authority

5. Strategic boundaries

The explicit exclusions that sharpen the plan and pre-empt objection.

Decision Options Timing Informing activities
Data commercialization red line Never sell identified data / De-identified only / Consented and aggregated only Sprint - Legal review under DPDPA of each position
- Member-trust research on each position
- Precedent review (23andMe policy, UK Biobank access rules, All of Us)
- Policy document drafted for board and external publication
Insurance risk-bearing Never / Selective capitation arrangements / Full insurer licence over time Sprint - IRDAI position confirmation
- Capital-intensity modelling of risk-bearing
- Strategic analysis — care entity as risk-taker vs risk-reducer
Rural entry timing Never in five-year plan / Y4 onwards / Y2 pilot / Day-one urban-plus-rural Pilot - Urban unit-economics proof first, to be established in Jamnagar pilot
- PMJAY partnership option review with state government(s)
- Rural CHW operations assessment against existing models JSS etc.
- Narrative risk review — Reliance Healthcare brand expectation
Pharma partner exclusivity No exclusive in Y1-3 / Selective exclusive by asset class / Open to anchor exclusive Post-pilot - Y1 LOI range and exclusivity-premium data from pharma conversations
- Legal review
- Precedent review (deCODE-Amgen exclusive vs UK Biobank non-exclusive)

Jio Arogya – Draft Operating Model

The Operating Model

Specification of the five systems — Underwriting*, Access, Escalation, Data, Science.

This document specifies Jio Arogya as a register of components. Each component is defined by a specification table describing its function, scope, inputs, outputs, exclusions, and build requirements. Summary matrices show how the components relate to one another. The Access, Underwriting, and Science systems follow a uniform specification form. The Escalation system uses a cross-tier matrix because the controlling question is how four contract types substitute for hospital ownership. The Data system uses instrumentation and signal registers because the controlling question is what is captured, how often, and what longitudinal record accumulates.

*Would need to be workshopped with the Jio Alliance team in collaboration.

Summary

UNDERWRITING ACCESS (90%) NAVIGATION (10%) DATA SCIENCE
GTM through Insurance How care reaches the member proactively How member reaches care when needed What we measure What the data pays back
1 · Embedded within insurance 2 · Direct, on-demand at Home Care 3 · Four-tier hospital partner network 4 · Instrumented member-year 5 · Data Trust dividend

Underwriting:

  • Insurance as the wrapper, not the business
  • One premium, family of four covered
  • Digital support, CHW, interventions priced in
  • Filed with IRDAI under the Jio Allianz licence
  • Multi-year contract binds member and incentivizes long term interventions

Access:

  • Personal Agent in English, Hindi, Gujarati
  • New class of tech-equipped CHWs trained
  • Clinical AI, 24×7, voice and chat
  • NetMeds partner stores as physical nodes

Navigation:

  • Tier-1 anchor, full integrated, value based contracting
  • Tier-2 on standard contract with base outcomes payments
  • Tier-3 small hospital partnerships
  • Discharge-to-home speed and visibility
  • Intelligence supported CHW advocacy and continuity through and after every event

Data:

  • CGM, BP cuff, air and water sensors
  • MedLab panel, omic baseline
  • ABHA-native, Health Locker resident
  • One longitudinal record per member

Science:

  • Data Trust, member-owned
  • Biobank at every Tier-1 site
  • AI Scientist on India-native cohort
  • Pharma, biotech, public-health revenue

Unit economics covered within Insurance Product

Investments repaid by Data and Science Assets

Bundled Insurance Product → Proactive, at home, on-demand care → Supported escalation journey → Instruments measure → Science compounds


1 · Underwriting

Jio Allianz carries the risk. Jio Arogya delivers the care. Plans are co-designed.

Premium, reserves, claims, and grievance redressal sit on the Jio Allianz balance sheet under the IRDAI licence. Clinical care sits in Jio Arogya under its protocols and ethics board. Plans are priced jointly: the intervention budget for each plan is computed from the actuarial baseline and released to care delivery as the operating envelope. The two entities are legally separated. Data flow between them is DPDP-compliant, consent-ledger-tracked, and purpose-limited.

Draft Plan economics (to be validated with Allianz)

Plan tier Annual premium Target loss ratio Zero-marginal service floor Intervention budget / member / year Served cohort
Basic ₹7,000 70% ₹300 ₹680 Low-risk single adult
Core ₹15,000 70% ₹300 ₹1,500 Mass-market family floater
Standard ₹30,000 70% ₹300 ₹3,800 Urban middle-class individual or couple
Premium ₹50,000 70% ₹300 ₹6,500 Cardiometabolic or high-utilisation cohort
Comprehensive ₹80,000 70% ₹300 ₹10,900 Chronic-disease and research cohort

1.1 · Balance Sheet · Jio Allianz

Entity

Jio Allianz General Insurance Company Limited. IRDAI-licensed insurer.

Function

  • Holds reserves and regulatory capital
  • Prices and books premium
  • Pays claims
  • Issues member-facing plan terms and certificates of insurance
  • Handles grievance redressal under the IRDAI licence

Relationship to care

Every plan is co-designed with Jio Arogya Health Services prior to filing with IRDAI. Neither entity prices a product the other has not agreed to deliver.

Risk

Absorbs actuarial and catastrophic risk on the insurer balance sheet.

Exclusions

  • Does not deliver clinical care
  • Does not hold clinical data
  • Does not operate the CHW cadre or the Personal Agent

1.2 · Intervention Catalogue

Content

Register of at least thirty priced interventions. Each intervention tagged with a priced unit, expected outcome effect, and expected claims-cost elasticity.

Evidence standard

Published peer-reviewed evidence at launch. Internal claims-linked outcome data replaces external evidence within 24 months of launch.

Zero-marginal interventions (every plan)

  • Personal Agent access
  • Clinical AI access
  • Digital coaching
  • Member education modules
  • Screening triage

Priced interventions (allocator-selected)

  • CHW home visits by cadence tier
  • Home air-quality sensor deployment
  • Cellular BP cuff for hypertensive members
  • Continuous Glucose Monitor for diabetic and pre-diabetic members
  • Human-supplemented dietary coaching hours
  • Remote lab panels beyond the plan baseline
  • Specialty tele-consultations

Exclusions

  • No intervention without published evidence at launch
  • No intervention that cannot be delivered nationally at scale

Build requirements

  • Intervention database
  • Continuous evidence-refresh workflow
  • Actuarial tagging discipline
  • Allocator logic

1.3 · Actuarial Loop

Function

Quarterly measurement cycle. Claims experience flows from Jio Allianz into the Intervention Budget Engine via a linked claims–care data feed. Each active intervention is repriced against observed claims-cost effect in the served cohort.

Decision rule

No intervention remains in the catalogue without demonstrated claims-cost effect within 18 months of launch. Interventions failing the rule are repriced once; a second failure removes the intervention from the catalogue.

Governance

Independent review by the Jio Allianz appointed actuary. Quarterly report submitted to the Jio Arogya board.

Exclusions

  • No sunk-intervention defence
  • No politically weighted retention

Build requirements

  • Quarterly review cycle with published calendar
  • Linked claims–care data feed
  • Appointed-actuary review protocol

1.4 · Regulatory Frame

Entity structure

Jio Allianz (IRDAI-licensed insurer) and Jio Arogya (care-delivery entity) are legally separate. A master services agreement governs the care-delivery relationship.

Regulated flows

  • Member-facing plan terms, consent, and grievance redressal sit under the insurance licence
  • Clinical protocols and ethics review sit under the care-delivery entity

Data flows

Inter-entity data flows are DPDP-compliant, consent-ledger-tracked, and purpose-limited. Every cross-entity request carries a linked consent token.

Oversight

  • Independent ethics board with veto over research activity
  • Annual public governance report
  • Member representation on the clinical protocol committee

Exclusions

  • No co-mingling of the two books
  • No insurer signal overrides a clinical protocol

2 · Access

Three components reach the member. Engagement is ordered.

The access system contains three operating components: a per-member conversational interface running on the member device, a stateless central clinical inference service, and a distributed cadre of salaried Community Health Workers. Each component has a defined scope, deployment footprint, and handoff rule. Cross-component flow is governed by the Access Rule (Component 1.4).

Access summary

Component Location Service ratio Holds PII Clinical reasoning Physical presence
A · Personal Agent Member device + member cloud locker 1 per member Yes No No
B · Clinical AI Jio Brain (centralised service) Shared No Yes No
C · Frontline Worker Field / member home 1 per 1000 members No (routed via Agent) Assisted by Clinical AI Yes

2.1 · Personal Agent

Function

Runs a persistent conversational interface on the member’s mobile device. It runs within the member’s trust boundary - this is the only component of the entire system that may touch identifiable data. Connected devices stream raw data to this agent, not to the cloud. Operates as the system-of-record for member identity, language preference, medication list, appointment history, consent ledger, and prior interaction log. Orchestrates downstream layers on the member’s behalf: issues queries to the Clinical AI, dispatches the Frontline Worker, files claims with Jio Allianz, retrieves records from hospitals and labs, and manages consent grants.

Deployment

Native integration on JioPhone. Jio MyHealth app on Android. One instance per enrolled member. Eight Indian languages, voice and text.

Inputs

  • Member voice and text input
  • Incoming events from lab systems, pharmacies, hospital EHRs, CHW copilot, and Clinical AI
  • Consent responses from the member

Outputs

  • Member-facing responses in the member’s language
  • De-identified, consent-scoped queries to the Clinical AI
  • Structured work orders to the Frontline Worker
  • Claim submissions and grievance events to Jio Allianz

PII scope

Holds all member identifiable data. PII does not leave the device except to an encrypted per-member cloud locker under the member’s own key. Every cross-boundary request carries a linked consent token.

Exclusions

  • Performs no clinical diagnosis
  • Issues no prescriptions without clinician co-sign
  • Executes no autonomous treatment decision

Build requirements

  • Agent runtime on JioPhone and Android
  • Encrypted per-member cloud locker
  • Consent ledger aligned to ABDM Consent Manager
  • Voice and text stack across eight Indian languages

2.2 · Clinical AI

Function

Stateless clinical inference service. Returns differentials, protocol recommendations, screening flags, risk scores, prescription suggestions, and escalation triggers across the top fifty Indian condition categories. Services queries from the Personal Agent, the Frontline Worker’s copilot, and the physician CoPilot deployed at Tier-1 and Tier-2 hospital partners.

Deployment

Central service on Jio Brain inference infrastructure. Accessible via authenticated API.

Inputs

De-identified, consent-scoped queries containing structured member history and the presenting question.

Outputs

  • Structured clinical response with confidence interval and cited evidence
  • Explicit escalation recommendation (self-care / tele-consult / CHW visit / hospital)
  • Protocol reference for downstream execution

Availability

24×7. Eight Indian languages. Voice and text.

Autonomy posture

Human-in-the-loop for all prescriptions and all clinical escalations through Year 2 (?). Autonomous operation on a restricted task list thereafter, subject to published safety evaluation with HTA-In and ICMR and regulator concurrence.

Exclusions

  • Stores no query state
  • Holds no member identity
  • Issues no orders without clinician co-sign until explicitly authorised and regulator-cleared

Build requirements

  • Jio Brain inference stack
  • Clinical protocol library across fifty Indian condition categories
  • Published Indian Health AI safety benchmarks
  • Multilingual clinical UX
  • Physician CoPilot for hospital and clinic network deployment

2.3 · Frontline Worker (Community Health Worker)

Function

Salaried Front line Health Worker executing a defined protocol at each home visit. Operates as the primary physical layer in the access stack. Performs measurements, sample collection, medication reconciliation, dispensing where licensed, dietary recall, first-line counselling, and escalation to the Clinical AI.

Deployment

1 CHW per 1000 enrolled members. Approximately 100,000 CHWs at 100M member scale. ASHA cadre integrated under MoU with State Health Missions where desirable.

Visit cadence

  • High-risk members — monthly
  • Medium-risk members — quarterly
  • Low-risk members — semi-annually
  • Additional visits on escalation from Layer 2

Visits are at the family level, not just the individual level, which creates efficiencies, captures more data and better represents the Indian social dynamic and interconnected relationships

Visit protocol

  • Blood pressure, weight, waist circumference, glucose
  • Brief validated mental-health screen (PHQ-2, GAD-2)
  • Medication reconciliation against Netmeds dispensing log
  • Dietary recall via voice tool
  • Indoor air reading where sensor deployed
  • Child immunisation status verification where applicable
  • Sample collection for scheduled lab panels

Equipment

Point-of-care kit: pulse oximeter, otoscope, handheld ECG, peak-flow meter; portable ultrasound from Year 3. Estimated unit cost ₹12,000. Tablet with CHW copilot.

Inputs

  • Dispatch orders from the Personal Agent (via Clinical AI escalation or scheduled protocol)
  • Member’s longitudinal visit record

Outputs

  • Structured protocol completion record to Personal Agent
  • Lab samples routed to Reliance MedLab
  • Point-of-care readings streamed to Personal Agent

Exclusions

  • No self-dispatch
  • No independent clinical judgement outside the copilot protocol
  • No member PII on the CHW’s personal device

Build requirements

  • CHW cadre at 1:1000 density
  • Training and certification academy, co-branded with State Health Missions where available
  • Point-of-care kit at ~₹12,000 per CHW
  • Field dispatch and operations tooling
  • ASHA integration MoU template

2.4 · Access Rule

Statement

Layer 1 (Personal Agent) answers first. Layer 2 (Clinical AI) answers the subset of queries that Layer 1 escalates. Layer 3 (Frontline Worker) intervenes only on Layer 2 escalation or on a scheduled protocol visit. Member self-dispatch of the CHW is not permitted.

Logging

Every escalation carries a structured reason code. Every physical visit carries a clinical trigger recorded against the member’s longitudinal record.

Rationale

  • The CHW minute is the most expensive unit in the access stack
  • Self-dispatch would saturate CHW capacity and breach the intervention budget
  • Ordered engagement is required for the plan-level unit economics to close

Audit

Rule enforcement is audited weekly by the actuarial loop (Component 3.4).


3 · Escalation

Four contract tiers substitute for hospital and clinic ownership.

Hospital and clinic ownership would solve four problems: control over the episode, cost of the stay, visibility into outcomes, and owning the patient relationship. However, owning and running hospitals is asset heavy, creates the wrong (volume) incentives and distracts from the real value add work. So we propose that instead of owning hospitals and large clinic chains, we substitute for four contract types. Almost every clinic and hospital in India is placed in one of four tiers. The matrix below specifies how each tier addresses each of the four problems; the specification tables that follow give contract-level detail.

Escalation matrix

Mechanism Tier 1 · Preferred Tier 2 · Standard Tier 3 · Small Hospital and Partner Clinics Tier 4 · Non-Network
Share of network 5% 10% 10% Remainder
Share of volume ≥60% ~25% ~10% ≤5%
Contract form Capitation or outcomes-based payment (within 24 months) Case-rate with outcome adjustments Pre-paid annual volume envelope None — tariff at point of service
Control mechanism Embedded clinical leadership; direct-discharge protocol On-site member-services desk; contractually required protocols for top 15 conditions None — influence via technology adoption (to be proven) None — 24×7 member liaison only
Cost mechanism Capitation fixes cost per member-year Readmission penalties; never-event exclusions Pre-payment priced below Tier-2 case-rate average Settled at tariff through standard claims process
Visibility / Data mechanism Two-way EHR integration; real-time clinical dashboards to CMO HCX claims data; discharge summaries via on-site desk Technology licensing writes structured data directly to Jio Arogya record Liaison collects and uploads discharge documentation
Patient relationship Personal Agent before, during, after; CHW on discharge Personal Agent + on-site desk + post-discharge CHW Personal Agent through stay; CHW post-discharge Personal Agent + 24×7 liaison; CHW within 48 hours of discharge

Tier 1 · Preferred Partners — 5% of network, ≥60% of volume

Scope

Deeply contracted anchor hospitals in each geography. HN Reliance, Seven Hills, Karkinos, plus one or two chosen peers per metro and tier-one city.

Contract form

Migration from fee-for-service to capitation or outcomes-based payment within 24 months of onboarding. Fee-for-service closed thereafter.

Integration

  • Two-way EHR integration with Tier-1 HIS
  • Jio Arogya clinical leadership embedded on-site
  • Direct-discharge protocol handing the member to the post-acute CHW within 24 hours of discharge

Instrumentation

  • Readmission rate by condition
  • Hospital-acquired infection rate
  • Protocol adherence for top 15 conditions
  • Length of stay
  • Patient experience score
  • Dashboards report to Chief Medical Officer in real time

Joint investments

Centres of Excellence — cardiometabolic, oncology, maternal-fetal, liver — jointly operated. CoEs double as clinical-trial and biobank sites. Research consent and sample collection are built into the admission workflow.

Volume commitment

Majority of the elective volume within each geography. Research enrolment at admission for consenting members.

Exit trigger

Two consecutive quarters below contractually defined outcome thresholds. Contract is renegotiated or the partner is down-tiered to Tier 2.

Tier 2 · Standard Partners — 10% of network, ~25% of volume

Scope

Mid-sized hospitals in every district.

Contract form

Case-rate contracts. Outcomes-based adjustments layered on top: readmission penalties, never-event exclusions, documented protocol adherence required for the top fifteen conditions.

Integration

  • Standard Health Claims Exchange — electronic pre-authorisation, claims submission, admission and discharge notifications
  • No EHR-level integration
  • Jio Arogya member-services and payments desk on-site above a defined volume threshold

Instrumentation

  • HCX claims data
  • Discharge summaries uploaded into the member record by the on-site desk
  • Outcome review every two quarters against contractual thresholds

Volume commitment

15–30% of the partner’s admitted volume, rising with performance in successive contract cycles.

Exit trigger

Failure to meet clinical evidence thresholds over two review cycles. Status drops to Tier 3 and volume is routed elsewhere.

Tier 3 · Small Hospital Partners and Partner Specialist Clinics — 10% of network, ~10% of volume

Scope

Long-tail 50–150-bed local hospitals serving Bharat. Chronic insurer-receivable cash-flow stress — 60 to 120 days of outstanding claims.

Contract form

Pre-paid annual volume envelope, advanced monthly, settled quarterly against actual utilisation. Economically equivalent to a prompt-payment discount, priced below the Tier-2 case-rate average.

Integration

  • Jio Arogya is the exclusive technology licensing partner
  • Ambient clinical scribe
  • AI-assisted clinical documentation
  • DPDP-compliant consent capture at point of admission
  • Lab-report digitisation
  • Patient communication module

Data flow

Every encounter writes structured data into the Jio Arogya record through the licensed technology stack. No clinical-protocol intrusion by the contract.

Volume commitment

Pre-paid envelope sized against historic throughput. Surplus utilisation reconciled quarterly.

Exit trigger

  • Failure to adopt the data-capture stack within six months of onboarding
  • Failure to meet quarterly data-quality audits

Tier 4 · Non-Network — remainder of Indian hospitals, ≤5% of volume

Scope

All Indian hospitals without a Jio Arogya contract. Reached via emergency admissions in unfamiliar locations, family preference, unreferred specialists, and small-town facilities outside the network.

Contract form

None. Claims settled at tariff through the standard claims process.

Patient-side services

  • Member liaison reaches the member within 24 hours of admission notification
  • Discharge summaries, diagnostic reports, and prescriptions collected and uploaded to the member record
  • Medication reconciliation performed on discharge
  • Post-discharge CHW home visit within 48 hours
  • Transport and logistics assistance for displaced members

Exclusions

No clinical control. No cost negotiation. No instrumentation.

Exit trigger

Not applicable. This tier is the permanent catchment for uncontracted episodes.

Operating principle. Jio Arogya does not operate hospitals. Jio Arogya operates the layer that knows the member, orchestrates the stay, captures the data, governs the outcome, and retains the relationship before, during, and after the admission. Hospital ownership is not the unit of control; contract design plus data integration plus patient-side services is.


4 · Data

What we capture, through what instruments, at what frequency, and what longitudinal record accumulates.

Intelligence has a shelf life. Static datasets devalue; trained models age; continuous instrumentation compounds. The data system is therefore specified in two registers. The Instrumentation Register (Component 4.1) enumerates every sensor and feed, what it captures, at what frequency, and whether it is existing or built. The Longitudinal Record (Components 4.2 and 4.3) specifies the dataset that accumulates per member per year and across the full five-year enrolment. Architecture, consent, and the Data Dividend are specified in Components 4.4 and 4.5.

4.1 · Instrumentation Register

Instrument Data captured Frequency Status
Jio MyHealth app on phone Activity, steps, sleep pattern, voice cadence, medication reminders, consent-scoped location Continuous, passive Existing
Jio partner wearable HR, HRV, SpO2, skin temperature, movement, sleep staging Continuous Existing; included in Premium and Comprehensive tiers
Continuous Glucose Monitor Glucose trajectory, meal response, overnight pattern Continuous, 14-day cycles Existing; diabetic and pre-diabetic members
JioFiber router (ambient sensing) Contact-free respiration, heart rate, fall detection, household rhythm Continuous, ambient Existing hardware; new software layer (scientific advancement needed)
Netmeds + Reliance Retail Pharmacy Dispensing record, adherence, refill cadence Per dispensation event Existing
Reliance MedLab Standard annual panels; specialty panels on indication ≥1 per year Existing
Strand multi-omic module Whole-genome 30× depth; baseline proteomics; baseline metabolomics; 16S microbiome Baseline at enrolment; 3-year refresh Existing; research-scoped consent
Home air-quality sensor PM2.5, PM10, CO, CO2, humidity Continuous, passive Build or Buy (~₹1,800 per unit; Premium and Comprehensive)
Home water-quality kit Hardness, microbial load, heavy metals Quarterly mail-in Build or Buy (lab-processed)
Cellular BP cuff Systolic, diastolic, pulse Daily Build or Buy (~₹2,400 per unit; hypertensive members)
On-device mental-health signal Typing cadence, voice sentiment, sleep regularity, activity rhythm Continuous, on-device inference Build (only the risk score leaves the device)
Dietary recall tool Voice-driven food diary scored against South Asian food database Daily prompts; weekly minimum Build (six regional languages)
CHW point-of-care kit Pulse oximeter, otoscope, handheld ECG, peak-flow meter; portable ultrasound from Year 3 Every CHW visit Build (~₹12,000 per CHW)
EHR / HCX feed from hospital network Admissions, diagnoses, prescriptions, procedures, discharge Per encounter Existing rails; live via tier integration

4.2 · Member-Year Signal Register

The table below specifies what a single enrolled member produces in a single year of enrolment — the essential deliverable of the instrumentation stack.

Signal class Annual volume Source instrument Consent scope
Continuous physiology (HR, HRV, SpO2, respiration, activity) ~8,760 hours Wearable + JioFiber ambient Member-standard
Sleep staging ~365 nights Wearable Member-standard
Indoor air-quality exposure ~525,000 minutes Home air-quality sensor Member-standard
Glucose (diabetic / pre-diabetic members) ~35,000 readings Continuous Glucose Monitor Member-standard
Blood pressure (hypertensive members) ≥365 readings Cellular BP cuff Member-standard
Mental-health score ≥52 weekly scores On-device signal On-device, score-only
Dietary recall ≥52 structured records Voice recall tool Member-standard
Water-quality readings 4 quarterly samples Mail-in kit Member-standard
Lab panels 1 standard + 1–3 specialty Reliance MedLab Member-standard
Pharmacy dispensations Per refill event Netmeds + Reliance Retail Member-standard
Clinical encounters Per encounter EHR / HCX feed Member-standard
CHW visit records 2–12 visits CHW point-of-care kit Member-standard
Omics panels 1 at enrolment; refresh on 3-year cycle Strand multi-omic module Research-scoped

4.3 · Five-Year Longitudinal Record

Scope

The cumulative dataset held on a Core member after five years of continuous enrolment.

Omics

Collected and biobanked samples allow for at least:

  • Whole-genome sequence (baseline)
  • Two proteomics panels (one baseline + one 3-year refresh)
  • Two microbiome panels (one baseline + one 3-year refresh)

Continuous signals

  • Five years of wearable physiology
  • Five years of ambient JioFiber sensing
  • Five years of indoor air-quality exposure

Discrete readings

  • Five years of daily BP (if hypertensive)
  • Five years of CGM (if diabetic / pre-diabetic)
  • Five years of weekly mental-health scores
  • Five years of weekly dietary records (engagement dependent)

Clinical record

  • Five years of pharmacy dispensations
  • Five years of lab panels
  • Five years of EHR encounters and discharge summaries

Human touch

Five years of structured CHW visit records, 10–60 total visits depending on risk tier.

Comparators

  • UK Biobank: 500,000 members, cross-sectional omics, episodic linkage
  • deCODE: 400,000 Icelanders, deep omics, limited phenotypic continuity
  • Jio Arogya (target state): 100M members with linked multi-omic, continuous sensing, dispensing, clinical, and behavioural signal at South Asian genome

4.4 · Data Architecture

Privacy is enforced in infrastructure rather than in policy. The architecture consists of three layers across three legal entities, with three boundaries. Every cross-boundary event is logged and audited. The architecture is ABDM-native: ABHA ID is the member identity, the ABDM Consent Manager is the legal spine, the Health Claims Exchange is the claims rail, and Health Locker is the member’s portable record.

Layer Entity Holds Emits Cannot
Layer 1 Personal Agent on member device + per-member cloud locker All member PII; consent ledger; medication list; appointment history De-identified, consent-scoped queries to Layer 2; work orders to Layer 3 Leave the member’s control without a logged consent event
Layer 2 Jio Brain Clinical AI (stateless service) No member state Clinical recommendations and escalation triggers Re-identify a query to a member
Layer 3 Data Trust (separate legal entity, independent ethics board) Research-consented, de-identified, linked longitudinal dataset Aggregate study results; licensed research access under approved protocols Sell raw data; re-link to identity; share data outside Indian jurisdiction

4.5 · Data Dividend

Function

Returns research-licensing revenue to contributing members on a weighted basis. Each licensing event generates a distribution pool released to members whose data contributed to the licensed study.

Weighting factors

  • Depth of record (number of signal classes)
  • Length of enrolment (years)
  • Scope of consent (baseline vs. research-extended)

Economic impact

  • Core longitudinal members (≥5 years, full genome, continuous wearable, metabolomics) — annual Dividend can fully offset the next year’s premium
  • Full cohort — typical annual offset 10–30% of premium

Exclusions

  • No payment for data-volume as such
  • No payment for single-event consent grants
  • No payment prior to the licensing-revenue closing period

Build requirements

  • Dividend accounting rule
  • Annual member statement
  • Public audit of pool distribution by the Data Trust

5 · Science

Continuous instrumentation generates the substrate. Science converts it into new medicine.

The Data Trust holds the research-consented dataset and operates the scientific programme. Four components define the programme: an autonomous research engine (5.1), a maturity-graded study ladder (5.2), a biobank of physical samples (5.3), and a governance structure holding the ethics, access, and licensing rules (5.4).

5.1 · AI Scientist

Function

Autonomous research system operating on the Data Trust’s de-identified dataset. Generates hypotheses, designs cohort studies, and runs primary analyses. Human scientists review, validate, replicate, and publish.

Operating principle

Compresses the research loop from the conventional five-year design-collect-publish cycle to a six-week query-validate-publish cycle against the live cohort. This is the operational answer to the shelf-life-of-intelligence thesis: research must run at the pace at which intelligence itself ages.

Inputs

  • De-identified longitudinal dataset held by the Data Trust
  • Ethics-board-approved study protocols
  • External literature and prior hypotheses

Outputs

  • Hypothesis candidates ranked by effect size and data support
  • Study designs specified to a pre-registration standard
  • Primary analyses and effect estimates with confidence intervals
  • Human-reviewed publication drafts

Exclusions

  • No publication without human validation and replication
  • No study executed outside the ethics-board mandate

Build requirements

  • Jio Brain research inference layer
  • Data clean-room for the Data Trust
  • Human-scientist team of ~50 FTE by Year 3
  • Publication and peer-review workflow

5.2 · Study Ladder

Function

Defines which class of research runs when, as the cohort matures. Observational work runs at 1M members. Pragmatic trials require 10M+. Biomarker and drug co-development requires multi-timepoint sample collection and linked omics.

Year 1–2 — Observational, pre-disease trajectory

  • Cardiometabolic progression in South Asians
  • Real-world medication effect in Indian cohorts
  • Diet–disease linkage using the voice recall tool

Year 2–3 — Embedded pragmatic trials

  • Randomisation at the care-plan level, delivered through CHW visits
  • Zero marginal recruitment cost once enrolled
  • Device- and intervention-level comparative trials

Year 3–4 — Pharmacogenomic and biomarker studies

  • Partner-funded Phase II and III
  • India indications first
  • Target enrolment speed: 10× US comparable sites
  • Target cost: ~1/10 of US equivalent

Year 4+ — Target discovery and drug co-development

  • Novel South Asian targets validated in Jio Arogya data
  • Licensed or co-developed under India-first access terms
  • Milestone and royalty economics booked to the Data Trust

Exclusions

No randomised output in Year 1. No drug-discovery promises against the Year-2 cohort. No pharma-sponsored work outside Trust governance.

5.3 · Biobank

Function

Physical-sample asset underpinning the research programme. Every enrolling member provides a baseline set of blood, urine, stool, and saliva samples under explicit research consent. Residual volume is cryo-preserved at −80°C for retrospective assays.

Sample collection

  • Enrolment baseline: blood, urine, stool, saliva
  • High-risk members: follow-up draws annually
  • Other members: follow-up draws every three years

Standard assay panel

  • Whole-genome sequencing at 30× depth
  • Baseline proteomics
  • Baseline metabolomics
  • 16S microbiome

Storage

Two biobank sites — West India and South India — operated with Strand Life Sciences. Residual cryo-preservation at −80°C. Cold-chain collection network through CHWs and Tier-1 hospitals.

Target inventory

By Year 5: 250,000 multi-timepoint sample sets from a longitudinally characterised population.

Operational rationale

Collect low cost samples through the journey - store and label properly. Assay selected patients with clinical signal or outcomes under study. Any future assay not yet invented — single-cell transcriptomics, spatial proteomics, immune repertoire profiling, novel biomarker panels — can be retrospectively executed on stored samples.

Exclusions

  • No sample withdrawal except under full consent
  • No shipment of samples outside India for processing

Build requirements

  • Two biobank sites
  • Cold-chain collection network
  • Sample governance under the Data Trust ethics board

5.4 · Governance · Data Trust

Entity

Separate legal entity with its own profit-and-loss, ethics board, and public reporting.

Ethics board

Independent board with veto over all research activity. Public quarterly safety and access report. Member representation on the protocol committee.