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使用PDF Vector和HIPAA合规从医疗文档提取临床数据

中级

这是一个Document Extraction, AI Summarization, Multimodal AI领域的自动化工作流,包含 9 个节点。主要使用 If, Code, Postgres, GoogleDrive, ManualTrigger 等节点。 使用PDF Vector和HIPAA合规从医疗文档提取临床数据

前置要求
  • PostgreSQL 数据库连接信息
  • Google Drive API 凭证
工作流预览
可视化展示节点连接关系,支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入,即可使用此工作流
{
  "meta": {
    "instanceId": "placeholder"
  },
  "nodes": [
    {
      "id": "overview-note",
      "name": "HIPAA概览",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        50,
        50
      ],
      "parameters": {
        "color": 1,
        "width": 350,
        "height": 200,
        "content": "## 🏥 医疗记录处理器"
      },
      "typeVersion": 1
    },
    {
      "id": "security-note",
      "name": "安全要求",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        50,
        270
      ],
      "parameters": {
        "color": 1,
        "width": 280,
        "height": 180,
        "content": "## 🔐 安全设置"
      },
      "typeVersion": 1
    },
    {
      "id": "coding-note",
      "name": "临床编码",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        650,
        450
      ],
      "parameters": {
        "width": 260,
        "height": 150,
        "content": "## 📋 临床编码"
      },
      "typeVersion": 1
    },
    {
      "id": "manual-trigger",
      "name": "手动触发器",
      "type": "n8n-nodes-base.manualTrigger",
      "notes": "Process medical record",
      "position": [
        250,
        300
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "google-drive",
      "name": "Google Drive - 获取医疗记录",
      "type": "n8n-nodes-base.googleDrive",
      "notes": "Retrieve record from Drive",
      "position": [
        450,
        300
      ],
      "parameters": {
        "fileId": "={{ $json.fileId }}",
        "operation": "download"
      },
      "typeVersion": 3
    },
    {
      "id": "pdfvector-extract",
      "name": "PDF向量 - 提取医疗数据",
      "type": "n8n-nodes-pdfvector.pdfVector",
      "notes": "Extract medical information",
      "position": [
        650,
        300
      ],
      "parameters": {
        "prompt": "Extract medical information from this document or image including patient ID (not name), visit date, chief complaint, diagnoses with ICD codes, medications with dosages, vital signs, lab results with values and reference ranges, procedures performed, and follow-up instructions. Do not extract patient names, SSN, or other identifying information. Use OCR if this is a scanned document or medical image.",
        "schema": "{\"type\":\"object\",\"properties\":{\"patientRecord\":{\"type\":\"object\",\"properties\":{\"patientId\":{\"type\":\"string\"},\"visitDate\":{\"type\":\"string\"},\"visitType\":{\"type\":\"string\"},\"provider\":{\"type\":\"string\"},\"facility\":{\"type\":\"string\"}}},\"clinicalData\":{\"type\":\"object\",\"properties\":{\"chiefComplaint\":{\"type\":\"string\"},\"historyOfPresentIllness\":{\"type\":\"string\"},\"reviewOfSystems\":{\"type\":\"array\",\"items\":{\"type\":\"string\"}}}},\"diagnoses\":{\"type\":\"array\",\"items\":{\"type\":\"object\",\"properties\":{\"description\":{\"type\":\"string\"},\"icdCode\":{\"type\":\"string\"},\"type\":{\"type\":\"string\"},\"status\":{\"type\":\"string\"}}}},\"medications\":{\"type\":\"array\",\"items\":{\"type\":\"object\",\"properties\":{\"name\":{\"type\":\"string\"},\"dosage\":{\"type\":\"string\"},\"frequency\":{\"type\":\"string\"},\"route\":{\"type\":\"string\"},\"startDate\":{\"type\":\"string\"},\"status\":{\"type\":\"string\"}}}},\"vitalSigns\":{\"type\":\"object\",\"properties\":{\"bloodPressure\":{\"type\":\"string\"},\"heartRate\":{\"type\":\"string\"},\"temperature\":{\"type\":\"string\"},\"respiratoryRate\":{\"type\":\"string\"},\"oxygenSaturation\":{\"type\":\"string\"},\"weight\":{\"type\":\"string\"},\"height\":{\"type\":\"string\"},\"bmi\":{\"type\":\"string\"}}},\"labResults\":{\"type\":\"array\",\"items\":{\"type\":\"object\",\"properties\":{\"testName\":{\"type\":\"string\"},\"value\":{\"type\":\"string\"},\"unit\":{\"type\":\"string\"},\"referenceRange\":{\"type\":\"string\"},\"flag\":{\"type\":\"string\"},\"collectionDate\":{\"type\":\"string\"}}}},\"procedures\":{\"type\":\"array\",\"items\":{\"type\":\"object\",\"properties\":{\"name\":{\"type\":\"string\"},\"cptCode\":{\"type\":\"string\"},\"date\":{\"type\":\"string\"}}}},\"plan\":{\"type\":\"object\",\"properties\":{\"followUp\":{\"type\":\"string\"},\"instructions\":{\"type\":\"array\",\"items\":{\"type\":\"string\"}},\"referrals\":{\"type\":\"array\",\"items\":{\"type\":\"string\"}}}}},\"required\":[\"patientRecord\",\"diagnoses\"],\"additionalProperties\":false}",
        "resource": "document",
        "inputType": "file",
        "operation": "extract",
        "binaryPropertyName": "data"
      },
      "typeVersion": 1
    },
    {
      "id": "process-validate",
      "name": "处理并验证数据",
      "type": "n8n-nodes-base.code",
      "notes": "Validate and prepare data",
      "position": [
        850,
        300
      ],
      "parameters": {
        "jsCode": "// Process and validate medical data\nconst medicalData = $input.first().json.data;\n\n// Create audit log entry\nconst auditLog = {\n  action: 'Medical Record Processed',\n  timestamp: new Date().toISOString(),\n  recordType: 'Clinical Document',\n  patientId: medicalData.patientRecord.patientId,\n  userId: 'system-automated',\n  ipAddress: 'internal-process'\n};\n\n// Validate critical fields\nconst validationResults = {\n  hasPatientId: !!medicalData.patientRecord?.patientId,\n  hasVisitDate: !!medicalData.patientRecord?.visitDate,\n  hasDiagnoses: medicalData.diagnoses?.length > 0,\n  hasValidIcdCodes: true\n};\n\n// Validate ICD codes format\nif (medicalData.diagnoses) {\n  medicalData.diagnoses.forEach(diagnosis => {\n    if (diagnosis.icdCode && !diagnosis.icdCode.match(/^[A-Z][0-9]{2}(\\.[0-9]{1,2})?$/)) {\n      validationResults.hasValidIcdCodes = false;\n    }\n  });\n}\n\n// Flag abnormal lab results\nconst abnormalLabs = [];\nif (medicalData.labResults) {\n  medicalData.labResults.forEach(lab => {\n    if (lab.flag && (lab.flag === 'H' || lab.flag === 'L' || lab.flag === 'Critical')) {\n      abnormalLabs.push({\n        test: lab.testName,\n        value: lab.value,\n        flag: lab.flag\n      });\n    }\n  });\n}\n\n// Check for drug interactions (simplified)\nconst medications = medicalData.medications || [];\nconst potentialInteractions = [];\n// This is a simplified check - in production, use a proper drug interaction API\nif (medications.length > 1) {\n  // Example: Check for common dangerous combinations\n  const medNames = medications.map(m => m.name.toLowerCase());\n  if (medNames.some(m => m.includes('warfarin')) && medNames.some(m => m.includes('aspirin'))) {\n    potentialInteractions.push('Warfarin + Aspirin: Increased bleeding risk');\n  }\n}\n\n// Prepare processed record\nconst processedRecord = {\n  // Core data\n  patientRecord: medicalData.patientRecord,\n  clinicalData: medicalData.clinicalData,\n  diagnoses: medicalData.diagnoses,\n  medications: medicalData.medications,\n  vitalSigns: medicalData.vitalSigns,\n  labResults: medicalData.labResults,\n  procedures: medicalData.procedures,\n  plan: medicalData.plan,\n  \n  // Analysis results\n  alerts: {\n    abnormalLabs,\n    potentialInteractions\n  },\n  \n  // Metadata\n  validation: validationResults,\n  processedAt: new Date().toISOString(),\n  dataClassification: 'PHI - Protected Health Information',\n  retentionYears: 7,\n  \n  // Compliance\n  auditLog\n};\n\nreturn [{ json: processedRecord }];"
      },
      "typeVersion": 2
    },
    {
      "id": "check-valid",
      "name": "有效记录?",
      "type": "n8n-nodes-base.if",
      "position": [
        1050,
        300
      ],
      "parameters": {
        "conditions": {
          "boolean": [
            {
              "value1": "={{ $json.validation.hasPatientId }}",
              "value2": true
            },
            {
              "value1": "={{ $json.validation.hasDiagnoses }}",
              "value2": true
            }
          ]
        },
        "combineOperation": "all"
      },
      "typeVersion": 1
    },
    {
      "id": "secure-storage",
      "name": "存储到安全数据库",
      "type": "n8n-nodes-base.postgres",
      "notes": "HIPAA-compliant storage",
      "position": [
        1250,
        250
      ],
      "parameters": {
        "table": "medical_records",
        "columns": "patient_id,visit_date,diagnoses,medications,lab_results,processed_at,data_classification",
        "operation": "insert"
      },
      "typeVersion": 1
    }
  ],
  "connections": {
    "Valid Record?": {
      "main": [
        [
          {
            "node": "Store in Secure Database",
            "type": "main",
            "index": 0
          }
        ],
        []
      ]
    },
    "Manual Trigger": {
      "main": [
        [
          {
            "node": "Google Drive - Get Medical Record",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Process & Validate Data": {
      "main": [
        [
          {
            "node": "Valid Record?",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Drive - Get Medical Record": {
      "main": [
        [
          {
            "node": "PDF Vector - Extract Medical Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "PDF Vector - Extract Medical Data": {
      "main": [
        [
          {
            "node": "Process & Validate Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
常见问题

如何使用这个工作流?

复制上方的 JSON 配置代码,在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」,粘贴配置后根据需要修改凭证设置即可。

这个工作流适合什么场景?

中级 - 文档提取, AI 摘要总结, 多模态 AI

需要付费吗?

本工作流完全免费,您可以直接导入使用。但请注意,工作流中使用的第三方服务(如 OpenAI API)可能需要您自行付费。

工作流信息
难度等级
中级
节点数量9
分类3
节点类型7
难度说明

适合有一定经验的用户,包含 6-15 个节点的中等复杂度工作流

作者
PDF Vector

PDF Vector

@pdfvector

A fully featured PDF APIs for developers - Parse any PDF or Word document, extract structured data, and access millions of academic papers - all through simple APIs.

外部链接
在 n8n.io 查看

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