Safety · Ordinary People
Joshua Tilton built an AI tool that found the heart attacks his own crew was missing
United States
A rural Ohio paramedic spent his own money on a doctoral AI project, then let it prove him wrong about his own crew's blind spot.
The person and the place
Joshua Tilton has worked as a paramedic and EMS instructor for more than 20 years. He's the retired chief clinical officer for the Malta and McConnelsville Fire Department in rural southeast Ohio, where the nearest trauma center is at least an hour away.
The problem he cared about
a small volunteer department with no quality-assurance staff had no real way to see what its own crews were missing on calls, or to train for the specific gaps instead of guessing.
The agency moment
while defending a doctoral thesis in artificial intelligence at Capitol Technology University, and building the tool at his own expense, Tilton created Artificial Intelligence Quality Assurance, AQUA. It strips patient identifiers from run reports to stay HIPAA-compliant, then runs natural language processing on the narrative notes and vital signs to surface patterns nobody had time to spot by hand.
What changed, with evidence
he ran AQUA against months of call data and found crews were under-recognizing atypical heart attack symptoms, the back, shoulder, and stomach pain that don't look like a textbook cardiac call. "As a paramedic myself for 20-plus years, I didn't believe the data," Tilton said. He ran the model again rather than argue with it, then built cardiac training around exactly what it found. Within six months, he said, recognition of those atypical presentations rose sharply. "I know beyond a measure of a doubt that it helped patients," he said. "Then, we saw direct results of that." Those results are Tilton's own account; no independently audited before-and-after figures exist yet.
The move worth copying
Tilton didn't need a bigger budget to find his department's blind spot, he needed to trust a number he didn't like enough to check it twice. "I don't know how anyone can afford to not do something like this," he said. Look at what your own records already know before deciding you don't need to ask.
"I know beyond a measure of a doubt that [the system] helped patients." — Joshua Tilton, The Ohio Newsroom / WOUB
Sources
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