Each employee’s occupational-health exam comes back as a scanned file of about ten pages, with no text layer. occuhealth reads those files with AI and turns them into structured records for a whole industrial workforce, with a doctor checking every value the two reads disagree on.
Whole industrial workforces are examined every year, and the results came back as scanned paper, about ten pages per employee, so blood sugar, cholesterol and lung function could not be searched, counted or compared. Reading them by machine only helps if a misread value never slips through unnoticed.
Each page is classified, then extracted twice, independently. Arithmetic cross-checks catch confident misreads: lipid values that don’t add up, a BMI that doesn’t match height and weight, a spirometry ratio that can’t be right.
When the two reads differ, the field goes to a doctor’s review queue with both readings side by side. The doctor approves one or types the right value. An exam counts on the dashboard only once every flagged field is resolved.
The CMO gets a dashboard across the workforce: fitness outcomes, the markers most often outside their printed range, and surveillance tests such as spirometry, audiometry and ECG.
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