Preventing the revolving door of chronic illness

When a chronic patient leaves hospital, Aeira generates their care plan, assigns tasks to every stakeholder, and monitors recovery — automatically. No missed follow-ups. No fragmented communication. No preventable readmissions.

72 hrsPost-discharge window with highest readmission risk
27%Readmissions preventable with structured follow-up
6%High-risk patients driving 51% of all readmissions — Aeira finds them
Scroll
Built for India's digital health stack
ABDM Health ID
HL7 FHIR
WhatsApp Business API
PM-JAY Aligned
NABH Quality Metrics
The Problem

A coordination failure, not a clinical one

“India discharges millions of chronic patients every year with no structured follow-up. Hospitals, clinicians, families and payers each hold a piece of the patient picture — but no one holds the whole one. That fragmentation is the gap patients fall through.”

Heart failure. COPD. Diabetes. CKD. A systematic review of 34 studies found 27% of all readmissions are preventable — in India, with near-zero structured post-discharge infrastructure outside metro areas, the true figure is higher. The medical knowledge exists. The coordination mechanism does not.

6%

of patients generate over 51% of all readmissions. A platform that identifies and coordinates care for this cohort generates outsized impact — at a fraction of the cost of treating the readmission.

Nurse reviewing discharge instructions with patient
0M+
Diabetics in India — world's largest chronic disease burden
0%
Post-discharge adverse events linked to medication reconciliation errors
0M+
PM-JAY beneficiaries — creating payer accountability for outcomes

Fewer than 20% of patients in Tier 2 and Tier 3 India receive any structured follow-up after discharge. The 72 hours after leaving hospital are effectively unmonitored — the highest-risk window in post-acute care.

How It Works

From discharge to stable — in three steps

Aeira activates the moment a patient leaves hospital. No setup per patient. No manual coordination.

01

Discharge triggers the plan

Within minutes of a patient leaving hospital, Aeira reads the discharge summary and generates a structured care plan — medication schedule, follow-up appointments, warning signs to watch, and caregiver tasks. No manual entry.

Powered by clinical NLP · Works with existing EHR workflows
02

Every stakeholder gets their role

The care manager gets a risk dashboard. The family gets WhatsApp tasks in plain language. The payer gets compliance signals. One patient, one shared plan — everyone sees only what they need to act on.

WhatsApp · Web dashboard · EHR worklist · Payer portal
03

AI monitors and escalates

Vitals, medication adherence, and self-reported symptoms are tracked daily. Aeira flags deterioration before it becomes a readmission — automatically routing alerts to the right person at the right time.

Real-time risk scoring · Auto-escalation · 30-day recovery tracking
The Platform

A reasoning partner, not another dashboard

“We do not hand care teams another dashboard to monitor. We give them a reasoning partner that tells them which patient needs attention today, why, and what to do about it.”

Aeira Care integrates directly with existing hospital EHRs through a plug-and-play architecture. Our explainable AI surfaces clinically responsible, context-aware insights — so care teams can trust and act on what they see. The result: fewer readmissions, lower penalty exposure, and measurably better outcomes for the patients who need it most.

Evidence base
~12%Readmission reduction in prospective DNN+SHAP deployment
95.3%Patient identification sensitivity with NLP-augmented models
27%Readmissions preventable — systematic review of 34 studies
Aeira Care Plan · Live3 actions pending
R. Mehta, 72Heart failure · Day 4 post-discharge
High risk

Weight gain 3.2 lbs — diuretic review flagged

S. Mishra, 64COPD · Day 11 post-discharge
Medium risk

Missed pulmonology follow-up

Aeira Intelligence · Post-Discharge MonitorLive · 35 patients
3
High Risk
8
Medium
24
Stable
AI Alerts · Today
R. Mehta, 72· Heart Failure · Day 4HIGH
↑ Weight +3.2 lbs — diuretic review flagged
P. Sharma, 58· COPD · Day 7MEDIUM
Missed pulmonology follow-up — outreach scheduled
S. Patel, 65· Diabetes · Day 12STABLE
HbA1c trending down · Next review in 3 days
30-Day Recovery Score · Cohort Average
DischargeDay 30 ↑
EHR Integration

Plug-and-play connection to existing hospital systems. Minimal IT lift.

Explainable AI

Not black-box scores — clinical reasoning care teams can interrogate and act on.

Real-time Alerts

Flags which patient needs attention today, why, and what to do about it.

Stakeholder Alignment

Patients, caregivers, providers and payers all operate from one shared care plan.

Built For Every Stakeholder

One platform. Every person in the care chain.

Hospital CMO / Care Director

Reduce readmission penalties. Prove ROI in 90 days.

  • Automated post-discharge coordination — no extra headcount
  • Real-time readmission risk dashboard across all discharged patients
  • Penalty exposure reduced, NABH quality scores improved
  • EHR-native integration — minimal IT lift
~12%

Readmission reduction in prospective clinical deployments

Care Manager / Nurse Navigator

Know exactly which patient needs you today, and why.

  • AI-generated care plans — no manual discharge documentation
  • Prioritised daily worklist: who to call, what to say
  • Automated WhatsApp outreach for routine check-ins
  • Escalation alerts surface before deterioration becomes crisis
95.3%

Patient identification sensitivity with NLP-augmented models

Family Caregiver

Always know what to do. Get alerted before it's serious.

  • Plain-language tasks: 'Give 20mg Furosemide with breakfast'
  • Daily check-in via WhatsApp — no app to download
  • Immediate alert if warning signs appear
  • Shared visibility with the hospital care team
72 hrs

Post-discharge window where family support changes outcomes

What Sets Us Apart

Owning the white space between data and outcome

Built for transitional care

vs. retrofitted data warehouses

Existing platforms are data warehouses adapted for care management. Aeira was purpose-built around the care-transition moment where readmission risk is highest.

Explainable, actionable AI

vs. opaque risk scores

Clinicians see not just risk scores but clinical reasoning they can interrogate and act on. This builds trust and drives adoption in a way black-box models cannot.

Plug-and-play EHR integration

vs. 18-month implementations

We minimise IT overhead with rapid EHR integration — removing the biggest barrier to health system adoption without a five-year implementation cycle.

Full-stakeholder alignment

vs. fragmented point solutions

Patients, caregivers, providers and payers all operate from one shared care plan. Most solutions address one or two stakeholders — Aeira aligns all four.

Competitive landscapeDefensible white space

Broad post-acute platforms lack a focused AI layer. Condition-specific apps don't address cross-setting coordination. Aeira occupies the defensible position between them — purpose-built for the transition moment where readmission risk is highest. We intend to own it.

Aeira Care

See Aeira in 30 minutes.

Book a demo and see how Aeira generates a care plan, assigns stakeholder tasks, and flags risk — automatically, from a single discharge summary.

Care that feels like family.