Hospitals aren’t short on data. They’re short on trust in it.
That’s the case Bill Haughton, VP of Healthcare at Cognosos, made in a recent interview with The Healthcare Digest on operational intelligence. His point cuts against the usual AI-in-healthcare pitch: most health systems don’t have a data problem. They have a “ground truth” problem — and no amount of AI fixes that if the underlying operational data can’t be trusted. Read the full interview here.
“Data rich, insight poor” isn’t a data problem
Haughton describes hospitals as “data rich but insight poor” — and he’s right about why. Clinical, operational, and workflow data get collected in separate systems that were never built to talk to each other. Knowing where a piece of equipment sits is one data point. Knowing how that equipment’s location connects to patient flow, staffing, and room turnover is what actually changes a decision.
Without that connective layer, leaders fall back on manual updates and gut calls. A real-time location platform is what turns scattered location data into that shared operational picture — the thing Haughton calls ground truth.
Smart rooms are only as smart as the location data behind them
This is the part of the interview that deserves more attention than it’s getting. Health systems have poured real money into smart room technology — Haughton points to AdventHealth’s $85 million investment across 57 hospitals — expecting it to reduce administrative burden and improve communication.
But a smart room can’t automate what it can’t verify. If the system can’t confirm who was in the room, when they arrived, and what happened during that visit, the workflow automation hospitals are paying for falls back on manual documentation anyway. Location intelligence is the missing “last mile of accuracy” that makes the rest of the smart room investment actually work.
The staffing math nobody wants to say out loud
Haughton’s numbers here are the ones worth sitting with: nurses spend 25% of their time searching for equipment. To compensate, hospitals overpurchase equipment by 20-30% more than they clinically need — tying up millions in capital to paper over a visibility gap.
That’s not a technology gap. It’s a location gap. A hospital that can see where every asset is in real time doesn’t need to buy its way around the problem — equipment visibility fixes the overpurchasing math on its own.
Staff safety is now an operational metric, not just an HR one
More than 80% of nurses report experiencing workplace violence in the past year, and 60% say it’s made them consider leaving the job entirely. Haughton frames real-time location intelligence — the kind that lets a nurse discreetly call for help and gives responders her exact position — as a retention lever, not just a safety feature. 80% of hospital staff say they’d feel safer with a badge built to protect them.
That reframes staff safety technology from a compliance checkbox into something that shows up in turnover numbers.
AI still needs a foundation
Haughton’s line on AI is the one that should reframe how health system leaders evaluate every pitch coming their way right now: AI is only as good as the data behind it. Predictive staffing, automated workflows, smart redistribution — none of it works without an accurate, real-time picture of what’s actually happening on the floor first.
Before investing further in AI, the more useful question is whether the operational ground truth underneath it can be trusted.
Curious what a real-time operational ground truth looks like for your health system? Talk to Cognosos.
