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Healthcare Series· 3 Parts2 of 3 live

Real-Time Clinical Data:
What Goes Wrong in Hospital Environments

Most RPM platforms are tested on controlled networks. They are deployed in hospitals. This series covers the failure modes specific to hospital environments, the MQTT-to-dashboard architecture that solves them, and the build vs. buy decision framework built for health IT constraints.

Daniel Pardhe·Managing Partner, DP5·In partnership with Lightstreamer
~40%ICU alarms that go unanswered by staff
<2sengineering target for alert delivery
15–40%WebSocket failure rate in proxy networks
HIPAAon-prem deployment fully supported
All Parts
Part 01Infrastructure
The Real-Time Clinical Data Gap
Most remote patient monitoring platforms work perfectly in controlled test environments. However, in a hospital ward, on the hospital WiFi, behind hospital firewalls, they are prone to failure that frequently goes unnoticed by care teams, leading to undesirable outcomes.
10 min read · Apr 17, 2026Read article →
Part 02Architecture
MQTT, Hospital Networks, and the Last-Mile Problem
MQTT is the right protocol for getting patient vitals from sensor to cloud. It is not the right protocol for getting them to the care team's dashboard. The gap between those two statements is where most RPM platforms lose both latency and reliability.
11 min read · May 12, 2026Read article →
Part 03Decision FrameworkJun 10, 2026
Build vs. Buy for Health IT: An Engineer's Framework
The health IT version of the build vs. buy decision is not the same as in fintech or gaming. HIPAA on-prem mandates, hospital proxy environments, and clinical alert latency requirements are first-class constraints - not footnotes. This framework treats them that way.
Publishing Jun 10, 2026Coming soon
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