Healthcare · AI
AI that turns lab PDFs into a summary the provider signs off
AI-assisted intake reads raw lab PDFs and drafts plain-language summaries a provider reviews before the visit.
Clinical reasoning & priority matrix
Educational only. Not medical advice.
The story behind
Lab results arrive as PDFs full of reference ranges and abbreviations. For a patient, that is noise. For a provider, reading it cold during a visit is slow.
The goal was not to let a model talk to patients. It was to give the provider a drafted, plain-language summary they could check and approve, so the conversation starts from something useful instead of a wall of values.
Business value
- Providers walk into the visit with context, not a PDF to decode.
- Patients get plain language, signed off by a human, not raw model output.
- AI sits behind evaluation and a provider approval, not in front of the patient.
Project scope
- PDF ingestion and value extraction.
- LLM summarization with evaluation and guardrails.
- A provider review-and-sign-off step before anything reaches the patient.
Deliverables
- Lab-PDF intake pipeline.
- Plain-language summary drafting with guardrails.
- Provider review and approval workflow.
- Evaluation harness and fallback behavior.
Tech stack
Frequently asked
Does the AI talk to patients directly?
No. It drafts. A provider reviews and signs off before anything reaches the patient.
How do you keep the model from making things up?
Evaluation and guardrails on the output, plus a mandatory human approval step.
Is patient data used to train a model?
No. This is a HIPAA-aligned engagement and the pipeline is built around that boundary.
Have a workflow that needs this?
Tell us the shape of the problem. Scoped estimate, usually within 3 to 5 business days. No card, no obligation.
Estimate this buildor email business@highcraft.ioMore work
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