How a digital-health startup cut critical-alert response time by 60% with GCC + IoT + AI

A digital-health startup focused on chronic care needed to monitor patients in real time, at scale, across multiple EHRs, without data latency getting in the way of care. Periscope built a healthcare-focused Global Capability Center with IoT and AI at its core.

The Challenge

Continuous, real-time monitoring across a large and growing patient population is hard, and every second of data latency can affect an outcome. The team faced four pressures at once:

1. 01

   Real-time monitoring at scale. Continuously tracking patient vitals across a large, growing population in real time.

2. 02

   Multiple EHR systems. Integrating cleanly with several EHRs, including PointClickCare and Allscripts.

3. 03

   Data latency. Delays between signal and action directly affected care outcomes.

4. 04

   Regulatory compliance. Meeting strict healthcare data-privacy and security regulations end to end.

The goal was simple to state and hard to build: get the right patient signal to the right clinician the moment it matters, safely, and at scale. The engagement brief

The Solution

Periscope stood up a healthcare-focused GCC and wired an end-to-end pipeline: connected devices stream vitals in real time, AI turns them into predictive insight, and everything flows into the EHRs and partner platforms clinicians already use.

Healthcare GCC with IoT + AI. A dedicated capability center purpose-built for connected, AI-driven healthcare delivery, expert capacity at startup-friendly cost.

Real-time data streaming. Low-latency streaming so patient signals reach clinicians the moment they matter, not minutes or hours later.

AI predictive insights. AI models turn raw vitals into early, actionable health predictions and critical-alert conditions.

Multi-EHR integration. The RPM platform integrates with PointClickCare and Allscripts for a unified patient record.

Partner ecosystem. Integrated with partner platforms including RPM provider Vivotal to extend reach and capability.

The Results

Real-time, AI-driven monitoring translated directly into better care and stronger outcomes across the patient population.

Increased monitoring efficiency. Patient-monitoring efficiency improved by 40% through automation and real-time visibility.

Faster critical response. Response time for critical alerts dropped by 60%, getting clinicians to patients sooner.

Fewer readmissions. Hospital readmissions fell by 25% as proactive care replaced reactive care.

Full compliance. The platform met a full HIPAA and data-security framework end to end.

Streaming vitals in real time and letting AI flag the exceptions turned a monitoring burden into proactive care, and cut critical-alert response time by 60%. Outcome summary