Every Critical Value,
Caught In 90 Seconds Flat.

AI-powered lab monitoring that reads every result the moment it’s uploaded and gets the right doctor on the phone — before the patient deteriorates

Current Situation

Critical lab values — a dangerously high potassium, a collapsing platelet count, a sepsis-stage WBC — sit in queues waiting for someone to notice. Notifications happen by phone calls that don’t connect, or emails that don’t get checked, sometimes hours after the result is ready.
The cost isn’t a delayed report. It’s patient deterioration during the gap, families asking why nobody called, and the legal and reputational exposure that follows when the chart shows the value was available hours before action was taken.

What Alertiq Does

AlertIQ reads every lab result the moment it lands, identifies critical values against clinical reference ranges, and pushes a context-rich alert to the treating physician on WhatsApp and SMS — within 90 seconds. Every critical result. Every time. Around the clock.

Reference-Range Intelligence

Critical values identified against age-specific, gender-specific, and test-specific reference ranges — not static thresholds. A potassium of 5.5 is interpreted differently for a neonate and an adult, and AlertIQ knows the difference.

Right-Doctor Routing

Alerts reach the treating physician — not a generic on-call inbox or shared distribution list. The right person is notified, on the device they actually check.

Decision-Ready Alerts

Patient name, test, value, and normal range delivered inside the message itself — no app to open, no system to log into. The doctor decides on the spot, not after a callback.

Zero False Alarm Fatigue

Tuned to flag what is clinically critical, not every out-of-range blip. An alert system clinicians actually trust — because it doesn’t cry wolf.

HOW IT WORKS

Lab results land in Amazon S3 from your LIS or hospital system. Amazon Bedrock interprets the result against clinical reference ranges and identifies critical values. AWS Lambda composes a context-rich alert with patient name, test, value, and normal range. Amazon SNS delivers it to the treating physician on WhatsApp and SMS — within 90 seconds of result upload. No queue. No callback chain. No critical value sitting unseen.

1

Amazon S3

Call recordings land in Amazon S3 the moment they are uploaded.

2

Amazon Transcribe

Amazon Transcribe converts the audio into accurate, speaker-attributed text.

3

Amazon Comprehend

Amazon Comprehend analyses sentiment, intent, and key entities across the conversation.

4

AWS Lambda

AWS Lambda orchestrates the pipeline and delivers a structured report within seconds of the call ending.

Why It Holds Up

Deployed in your AWS account

Deployed in your AWS account

AlertIQ runs inside your own AWS environment. Patient data never leaves your hospital’s infrastructure.

Data resident in AWS Mumbai

Data resident in AWS Mumbai

All lab data, alert logs, and audit records processed and stored in the AWS Mumbai region, aligned with Indian healthcare data residency expectations.

Complete alert audit trail

Complete alert audit trail

Every alert timestamped and logged — who was notified, when, on which channel, and what the response was. Defensible documentation for clinical review and incident investigation.

LIS and HIS integration

LIS and HIS integration

Connects to your existing Lab Information System or Hospital Information System via API. No parallel workflow for lab technicians, no extra step for clinicians.

Built for clinical reality

Built for clinical reality

Reference ranges, alert routing, and escalation logic configurable by the lab head and CMO — so the system reflects how your hospital actually practices, not a generic preset.

BUILT FOR

Chief Medical Officers, Lab Heads, and Hospital Administrators at multi-speciality hospitals, diagnostic chains, critical care units, and nursing homes

Lab Heads
Hospital Administrators

where patient safety, accreditation findings, and clinician trust are non-negotiable.

BUILT FOR

The result is in. AlertIQ has already made the call.

Let us map the product to your workflow, data, and AWS environment.