| """Parsing stage: raw OCR text -> structured record. | |
| Run in ocr_env. Input: data/ocr/*.json Output: data/records/<form_id>.json | |
| Field strategies: | |
| - dates, blood pressure, weight, id numbers: regex with tolerant patterns | |
| (OCR confuses 0/O, 1/l, 5/S - normalize before matching) | |
| - diagnosis: rapidfuzz fuzzy match against an ICD-10 code list CSV | |
| (data/icd10.csv - code, description; add Indonesian aliases as needed) | |
| - every field carries a confidence; below a threshold -> needs_review: true | |
| Output record shape is FHIR-flavored on purpose (Patient / Encounter / | |
| Condition sections) - the same shape SATUSEHAT integration expects. | |
| TODO: implement parse(ocr_json) and main(); thresholds live at the top of | |
| the file so the review-queue tradeoff is easy to demo. | |
| """ | |
| raise NotImplementedError("phase 2") | |