Pulse Health Dashboard
AI & Automation

Pulse Health Dashboard

AI-powered patient monitoring system processing 50K+ data points per second in real time.

Client
Regional Hospital Network
Industry
Health Tech
Timeline
5 months
Services
Real-time Monitoring · ML Classification · Unified Dashboard
Challenge

The Problem

A hospital network needed to centralize patient monitoring across 12 facilities. Existing systems were siloed — each ICU had its own monitoring stack with no cross-facility visibility. Critical events were missed due to alert fatigue (nurses receiving 150+ alerts per shift, most false positives).

Solution

What We Did

We built an AI-powered monitoring platform that ingested 50K+ data points per second from medical devices, EHR systems, and environmental sensors. A machine learning model analyzed patterns to distinguish genuine emergencies from routine fluctuations, reducing false alerts by 94%. A unified dashboard gave administrators real-time visibility across all facilities.

Our Process

Discovery → Design → Build → Launch

01

Discovery

Research, audit & scoping the problem space.

02

Design

Strategy, identity, and rapid prototyping.

03

Build

Engineering, integration, and quality assurance.

04

Launch

Deploy, measure, and continue to optimize.

Results

Numbers That Moved

False alert rate reduced by 94% (from 150/shift to 9/shift)
Critical event detection time improved by 76%
Nurse satisfaction scores increased by 52%
Cross-facility patient transfers became 40% more efficient
HIPAA compliance maintained with zero violations
Gallery

Selected Visuals

Pulse Health Dashboard — visual 1
Pulse Health Dashboard — visual 2
Pulse Health Dashboard — visual 3

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