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de ancoragem OCR para extração de biomarcadores de PDFs de resultados laboratoriais","maintainers":[{"name":"rafael-precisa","email":"admin@precisa-saude.com.br"}],"readme":"# @precisa-saude/fhir-ocr-utils\n\nUtilitários de ancoragem OCR para extração de biomarcadores de PDFs de resultados laboratoriais.\n\n## Instalação\n\n```bash\nnpm install @precisa-saude/fhir-ocr-utils\n```\n\n> **Nota:** Requer `@precisa-saude/fhir` como peer dependency.\n\n## Uso rápido\n\n### Encontrar biomarcadores em texto OCR\n\n```ts\nimport { findBiomarkersInText, getMatchedCodes } from '@precisa-saude/fhir-ocr-utils';\n\nconst ocrText = `\n  HEMOGRAMA COMPLETO\n  Hemoglobina: 14.2 g/dL\n  Glicose Jejum: 95 mg/dL\n  Colesterol Total: 195 mg/dL\n  HDL: 55 mg/dL\n  Triglicerídeos: 120 mg/dL\n`;\n\nconst result = findBiomarkersInText(ocrText);\n\nconsole.log(result.matches);\n// [\n//   { code: 'Hgb', loinc: '718-7', matchedName: 'Hemoglobina', ... },\n//   { code: 'Glucose', loinc: '2345-7', matchedName: 'Glicose', ... },\n//   { code: 'Cholesterol', loinc: '2093-3', matchedName: 'Colesterol Total', ... },\n//   ...\n// ]\n\nconst codes = getMatchedCodes(result);\n// ['Hgb', 'Glucose', 'Cholesterol', 'HDL', 'Triglycerides']\n\nconsole.log(result.filteredReference);\n// Referência LLM filtrada apenas com os biomarcadores encontrados\n```\n\n## Padrão anti-alucinação\n\nEste pacote implementa um padrão de **ancoragem antes do LLM** para prevenir alucinações na extração de dados laboratoriais:\n\n1. **Ancoragem (este pacote):** Escaneia o texto OCR bruto procurando nomes de biomarcadores conhecidos contra o catálogo de `@precisa-saude/fhir`.\n\n2. **Filtragem:** Gera uma referência LLM filtrada (`filteredReference`) contendo apenas os biomarcadores que foram realmente encontrados no texto. O LLM só pode extrair valores para biomarcadores presentes nesta lista.\n\n3. **Extração (LLM):** O modelo de linguagem recebe o texto OCR junto com a referência filtrada, restringindo sua saída apenas aos biomarcadores ancorados.\n\nEste fluxo em dois estágios garante que o LLM não invente biomarcadores que não estão presentes no documento original.\n\n```\nPDF → OCR → findBiomarkersInText() → filteredReference → LLM → valores extraídos\n                    |                                                      |\n                    +── restringe quais biomarcadores ─────────────────────+\n                        o LLM pode extrair\n```\n\n### Regras de correspondência\n\nUma âncora falsa é cara: ela envia ao LLM uma referência de biomarcadores que\nnão estão no documento, convidando o modelo a preencher valores inexistentes.\nPor isso a correspondência é conservadora:\n\n- **Fronteira de token** — o nome precisa aparecer inteiro. `Color` não casa\n  dentro de \"Colorectal\", nem `Cholesterol` dentro de \"Hypercholesterolemia\".\n  Plurais impressos pelos laboratórios (\"Proteínas\", \"Cetonas\") continuam\n  ancorando no nome singular do catálogo.\n- **Nome mais longo vence** — em sobreposição, o casamento mais específico\n  prevalece: \"HDL Cholesterol\" ancora `HDL`, não `Cholesterol`; \"Blood Glucose\"\n  ancora `Glucose`, não `Blood_Urine`.\n- **Nomes de uma linha só** — nos layouts em coluna dos laudos, linhas\n  consecutivas são biomarcadores distintos, então um nome composto não\n  atravessa quebra de linha (\"Colesterol\\nHDL\" não vira \"Colesterol HDL\").\n- **Co-ocorrência de valor para nomes genéricos** — nomes que também são\n  palavras comuns (`Color`, `Protein`, `Blood`, `Volume`, `Peso`) só ancoram se\n  a linha carregar um valor: um número, uma unidade conhecida, ou um termo\n  qualitativo esperado (\"Negativo\", \"Ausente\", \"Amarelo Citrino\"). \"Specimen\n  type: Blood\" não ancora; \"Sangue Oculto: Negativo\" ancora.\n- **Contexto genético é descartado** — símbolos de gene colidem com nomes de\n  biomarcador (o gene `APOB` vs. a lipoproteína `ApoB`). Linhas com acesso\n  RefSeq (`NM_000384.2`), notação HGVS (`p.Trp448*`, `c.1234A>G`), `rs` do dbSNP\n  ou vocabulário de laudo genético não ancoram. É o contexto que decide, não uma\n  lista de símbolos proibidos — bani-los quebraria laudos lipídicos reais.\n\n## API\n\n### `findBiomarkersInText(ocrText: string): AnchorResult`\n\nEscaneia texto OCR e retorna todos os biomarcadores encontrados — um casamento\npor código, o de maior confiança.\n\n- `result.matches` — Lista de biomarcadores encontrados com código, LOINC, nome, confiança e posição\n- `result.filteredReference` — Referência formatada para enviar ao LLM\n- `result.stats` — Estatísticas de execução (total de padrões, encontrados, tempo)\n\n`position` é o índice no texto normalizado (sem acentos, minúsculas, espaços\nhorizontais colapsados), não no texto OCR original.\n\n#### Confiança\n\n`match.confidence` reflete a qualidade do casamento — nome completo ao lado de\num valor não é a mesma coisa que uma menção solta em prosa:\n\n| Valor | Constante                   | Significado                                                              |\n| ----- | --------------------------- | ------------------------------------------------------------------------ |\n| `1.0` | `CONFIDENCE_VALUE_ADJACENT` | Nome específico com valor na mesma linha (`Glicose: 95 mg/dL`)           |\n| `0.7` | `CONFIDENCE_NAME_ONLY`      | Nome específico sem valor por perto (cabeçalho de seção, menção solta)   |\n| `0.4` | `CONFIDENCE_AMBIGUOUS`      | Nome genérico que só ancorou por causa do valor ao lado (`Cor: Amarelo`) |\n\n### `getMatchedCodes(result: AnchorResult): string[]`\n\nExtrai a lista de códigos de biomarcadores de um resultado de ancoragem.\n\n## Aviso médico\n\nEste pacote fornece utilitários de processamento de texto para extração de dados laboratoriais. **Não substitui orientação médica profissional.** Consulte o [DISCLAIMER.md](../../DISCLAIMER.md) na raiz do repositório para detalhes completos.\n\n## Licença\n\n[Apache-2.0](../../LICENSE)\n","readmeFilename":"README.md"}