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AI健康卡片解析器 Power Automate

AI健康卡解析器 是一个 Power Automate 采取行动 PDF4me 它利用人工智能读取健康保险卡，并以结构化形式返回会员ID、团体编号、计划类型、承保日期和处方福利数据。 JSON. 使用它可自动完成患者登记、保险验证或药房福利检查，无需手动输入数据。

此操作的作用

PDF4me AI健康卡解析器 读取健康保险卡（PDF， PNG， JPG， 或者 JPEG）和返回 成员 ID， 组号， 计划类型， 保险公司， 成员姓名、承保日期和处方福利字段在 健康数据 对象，以及每个字段 信心 分数。（可选） 正文/自定义字段键 提取标准集之外的其他字段。

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我如何验证我的身份 Power Automate 流动？​

每一个 PDF4me 行动 Power Automate 需要有效的连接。创建或选择一个包含您数据的连接。 PDF4me API 关键在于确保流程能够安全地验证 AI 健康卡处理请求。

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您不容错过的重要事实​

始终需要填写两个字段。
健康卡文件内容（文档字节）和健康卡名称（带扩展名的文件名）。Body/customFieldKeys 位于“高级参数”下，是可选的。
输出嵌套在 healthData 下
成员、计划和处方字段都位于 processedData.healthData 下。在将字段映射到后续流程操作时，请引用此嵌套路径。
在信任输出结果之前，请检查置信度评分。
置信度对象对关键字段进行 0 到 1 的评分。将置信度低的提取结果路由到保险验证或计费流程中进行人工审核。
Power Automate AI - 健康卡解析器操作已配置文件内容和正文/文档/名称字段

映射文件内容和正文/文档/名称，然后展开正文/自定义字段键的高级参数。

参数​

必需的： 必须提供健康卡文件内容和健康卡名称。Body/customFieldKeys 是一个可选的高级参数。

范围必需的它的作用例子
Health Card File ContentRequiredBinary content of the health card, mapped from a previous action (Get file content, SharePoint, OneDrive, email attachment). Supports .pdf, .png, .jpg, .jpeg.body('Get_file_content')
Health Card NameRequiredFilename of the health card including its extension. Used for format detection and processing.health_card_2024.jpeg
Body/customFieldKeysOptionalAdvanced parameter. Array of additional field names to extract beyond the standard health card data set.["customField1", "customField2"]

输出字段​

场地类型它包含什么
successBooleantrue if the health card was processed successfully, false if extraction failed.
messageStringDescriptive message describing the result of the processing run.
processedData.healthData.memberIdStringThe unique member identification number extracted from the health card.
processedData.healthData.groupNumberStringThe group or policy number associated with the health insurance plan.
processedData.healthData.planTypeStringThe type of health insurance plan, for example PPO, HMO, or EPO.
processedData.healthData.insuranceProviderStringThe name of the insurance company or provider on the card.
processedData.healthData.memberNameStringThe full name of the insured member.
processedData.healthData.dateOfBirthStrStringThe member date of birth, formatted as YYYY-MM-DD.
processedData.healthData.effectiveDateStrStringThe date the health insurance coverage becomes effective, formatted as YYYY-MM-DD.
processedData.healthData.rxBinStringThe Bank Identification Number for prescription drug coverage.
processedData.healthData.rxPcnStringThe Processor Control Number for prescription drug coverage.
processedData.healthData.rxGroupStringThe group identifier for prescription drug coverage.
processedData.healthData.copayInfoArrayList of copay details by service, for example Primary Care or Specialist.
processedData.healthData.confidenceObjectPer-field confidence scores on a 0-1 scale for key extracted values.
processedData.statusStringOverall status of the health card processing operation.
processedData.errorsArrayAny errors encountered while processing the health card. Empty when none.
processedData.jobIdStringUnique identifier for the AI processing job, used for tracking and debugging.
processingTimestampStringISO 8601 timestamp indicating when processing completed.
{
  "success": true,
  "message": "Health card processed successfully using AI",
  "processedData": {
    "healthData": {
      "memberId": "M123456789",
      "groupNumber": "GRP001234",
      "planType": "PPO",
      "insuranceProvider": "Blue Cross Blue Shield",
      "memberName": "John Michael Smith",
      "dateOfBirthStr": "1985-03-15",
      "effectiveDateStr": "2024-01-01",
      "rxBin": "123456",
      "rxPcn": "ABC123",
      "rxGroup": "RXGRP001",
      "copayInfo": [
        { "service": "Primary Care", "copay": "$25" },
        { "service": "Specialist", "copay": "$50" },
        { "service": "Emergency Room", "copay": "$200" }
      ],
      "confidence": {
        "memberId": 0.95,
        "memberName": 0.98,
        "insuranceProvider": 0.92
      }
    },
    "status": "Success",
    "errors": [],
    "jobId": "11111111-2222-3333-4444-555555555555"
  },
  "processingTimestamp": "2024-01-15T10:30:45.123Z"
}

如何在设置AI健康卡解析器中 Power Automate？​

  1. 添加 PDF4me → AI健康卡解析器 致你 Power Automate 流动。
  2. 地图 健康卡档案内容 来自之前的操作（SharePoint， OneDrive（例如 Dropbox 或电子邮件附件）。
  3. 放 健康卡名称 文件扩展名（.pdf、.png、.jpg 或 .jpeg）。
  4. （可选）扩展 高级参数 并设置 正文/自定义字段键 对于标准集之外的任何字段。
  5. 运行流程。解析后的结果将以如下形式返回： 健康数据 嵌套在对象内部 处理数据包含成员、计划、承保范围和处方字段 信心 得分。

典型配置​

工作流程示例Common Power Automate flow patterns using AI-Health Card Parser.
患者登记入院
  1. 当患者通过门户网站或电子邮件上传健康卡图像时，流程就会触发。
  2. AI健康卡解析器提取成员ID、成员姓名、出生日期字符串和保险提供商。
  3. 提取的字段被写入一个 SharePoint 患者管理系统或患者名单。
  4. 条件检查置信度对象，并将置信度低的行路由到人工审核。
保险核实
  1. 当通过电子邮件收到健康卡时，流程就会触发。 SharePoint 上传。
  2. AI-Health Card Parser 提取 groupNumber、planType 和 effectiveDateStr。
  3. 系统会生成一份核实记录，并将其链接到患者的保险档案中。
药房福利查询
  1. 患者将健康卡上传至药房收款流程。
  2. AI-Health Card Parser 提取 rxBin、rxPcn 和 rxGroup。
  3. 处方标识符用于药房福利验证步骤，而 copayInfo 用于计算患者自付费用估算。

实用技巧​

Reference the nested healthData path
Extracted fields live under processedData.healthData, not at the top level of the response. Map the full path in downstream actions.
Always branch on success and confidence
Check success before writing extracted data downstream, and inspect the confidence object for any fields scored below your review threshold.
Custom fields extend, they do not replace
Body/customFieldKeys adds extra entries alongside the standard healthData fields, it does not narrow or filter the standard set.
copayInfo is an array, not a flat field
Loop over copayInfo with Apply to each when writing copay amounts to a table, since a card can list several services.
Match the file extension to the real format
Health Card Name must carry the true extension (.pdf, .png, .jpg, .jpeg) of the mapped File Content, a mismatched extension can affect processing.

速查表​

场地价值
ActionAI-Health Card Parser
Required fieldsHealth Card File Content, Health Card Name
Optional advanced fieldBody/customFieldKeys
Supported file types.pdf, .png, .jpg, .jpeg
Output rootprocessedData.healthData
Key output fieldsmemberId, groupNumber, planType, insuranceProvider, memberName, dateOfBirthStr, effectiveDateStr, rxBin, rxPcn, rxGroup, copayInfo, confidence

常见问题​

What data can the AI-Health Card Parser extract from a health insurance card?+
Member ID, group number, plan type, insurance provider, member name, date of birth, effective date, Rx BIN, Rx PCN, Rx group, and a copayInfo array listing copay amounts by service type.
Does the action tell me how confident it is in the extracted fields?+
Yes. The confidence object returns a 0-1 score for key fields such as memberId, memberName, and insuranceProvider, so flows can route low-confidence extractions to manual review before the data reaches a patient or billing system.
Can I extract fields beyond the standard health card data set?+
Yes. Set Body/customFieldKeys to an array of additional field names. Each key you list is extracted alongside the standard healthData fields, in addition to the built-in set.
What file formats does the AI-Health Card Parser accept?+
PDF, PNG, JPG, and JPEG. Health Card Name must include the matching file extension for correct format detection and processing.
How do I use the extracted Rx BIN and PCN in a pharmacy workflow?+
The rxBin, rxPcn, and rxGroup output fields map directly to the identifiers pharmacy systems use for prescription benefit verification and claims submission. See <a href="https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/prebuilt/health-insurance-card?view=doc-intel-4.0.0" target="_blank" rel="noopener noreferrer">Microsoft's health insurance card data extraction reference</a> for the kind of structured fields these cards typically expose.

行业应用案例及应用​

  • 患者登记利用健康卡数据提取实现患者登记自动化
  • 保险核实自动验证患者的保险覆盖范围
  • 福利核实检查患者福利和承保资格
  • 预约安排将保险信息与预约记录关联起来

相关操作​

在其他平台上执行相同任务​

获取帮助​

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