Key takeaways
- Document AI reads phone photos, scans and PDFs with intelligent character recognition and returns structured data that matches the schema you define.
- Key fields such as name, document type, date, result as written and expiry are checked, and the rest of the document is captured.
- The extractor never interprets a test result; a credentialing specialist decides every file.
- Staff health documents can stay inside your environment throughout, in any of four deployment options.
Every shift waits on a stack of photos
A nurse or clinician cannot start until the file is complete. That file holds a TB test result, a current licence, life support certifications and immunization records, and each one arrives in a different form: a phone photo of a paper card, a scan from a clinic, a PDF from a lab.
Your credentialing specialists open every document, find the name, the date and the result, and compare them with the record by hand. Most documents are fine, so the review feels like overhead, but the ones that are not fine are why it exists: an expired certification, a test outside the required window, a name that does not match. Phone photos are tilted, cropped or glared, and handwriting varies, so the queue grows with every new hire and every renewal.