zclaw_openfang/pipelines/healthcare/data-report.yaml

# ZCLAW Pipeline - 医疗数据报告生成
# 输入科室运营数据，自动生成结构化运营分析报告

apiVersion: zclaw/v1
kind: Pipeline
metadata:
  name: healthcare-data-report
  displayName: 医疗数据报告生成
  category: healthcare
  industry: healthcare
  description: 输入科室运营数据（门诊量、住院、手术、费用等），自动生成运营分析报告
  tags:
    - 医疗
    - 数据报告
    - 运营分析
    - 行政管理
  icon: 📈
  author: ZCLAW
  version: 1.0.0

spec:
  inputs:
    - name: data_content
      type: text
      required: true
      label: 运营数据
      placeholder: |
        粘贴科室运营数据，支持格式：
        指标名称,数值 或自由文本描述
        例如：门诊量 1250人次，同比增长8%

    - name: report_period
      type: select
      required: false
      label: 报告周期
      default: 月报
      options:
        - 周报
        - 月报
        - 季报
        - 半年报
        - 年报

    - name: department
      type: string
      required: false
      label: 科室
      placeholder: 例如：内科、外科、急诊科

    - name: focus_areas
      type: multi-select
      required: false
      label: 分析重点
      default:
        - volume_analysis
        - quality_metrics
        - financial
      options:
        - volume_analysis
        - quality_metrics
        - financial
        - patient_satisfaction
        - resource_utilization

  steps:
    # Step 1: 数据解析
    - id: parse_data
      description: 解析原始数据为结构化指标
      action:
        type: llm_generate
        template: |
          解析以下医疗运营数据为结构化指标：

          报告周期: {{report_period}}
          科室: {{department}}

          原始数据:
          ```
          {{data_content}}
          ```

          请生成 JSON 格式：
          {
            "metrics": {
              "outpatient": {"value": 0, "unit": "人次", "yoy_change": "同比变化"},
              "inpatient": {"value": 0, "unit": "人次", "yoy_change": ""},
              "surgery": {"value": 0, "unit": "台次", "yoy_change": ""},
              "bed_occupancy": {"value": "0%", "unit": "", "yoy_change": ""},
              "average_stay": {"value": "0天", "unit": "", "yoy_change": ""},
              "revenue": {"value": "0万", "unit": "", "yoy_change": ""}
            },
            "data_quality": "数据完整/部分缺失",
            "missing_fields": ["缺失指标"]
          }
        input:
          data_content: ${inputs.data_content}
          report_period: ${inputs.report_period}
          department: ${inputs.department}
        json_mode: true
        temperature: 0.3
        max_tokens: 2000

    # Step 2: 同比环比分析
    - id: trend_analysis
      description: 同比环比趋势分析
      action:
        type: llm_generate
        template: |
          对以下医疗指标进行趋势分析：

          科室: ${inputs.department}
          报告周期: ${inputs.report_period}
          结构化数据: ${steps.parse_data.output}

          请生成 JSON 格式：
          {
            "trends": [
              {
                "metric": "指标名称",
                "current": "当前值",
                "previous": "上期值",
                "change_rate": "变化率",
                "trend": "上升/下降/持平",
                "assessment": "正常/需关注/预警"
              }
            ],
            "highlights": ["亮点1", "亮点2"],
            "concerns": ["关注点1", "关注点2"],
            "overall_assessment": "整体评估"
          }
        input:
          department: ${inputs.department}
          report_period: ${inputs.report_period}
          data: ${steps.parse_data.output}
        json_mode: true
        temperature: 0.4
        max_tokens: 2500

    # Step 3: 质量指标分析
    - id: quality_analysis
      description: 医疗质量指标分析
      action:
        type: llm_generate
        template: |
          基于运营数据进行医疗质量分析：

          科室: ${inputs.department}
          运营数据: ${steps.parse_data.output}
          趋势分析: ${steps.trend_analysis.output}

          请生成 JSON 格式：
          {
            "quality_indicators": [
              {"indicator": "质量指标", "value": "当前值", "benchmark": "参考标准", "status": "达标/未达标"}
            ],
            "safety_events": "安全事件统计",
            "improvement_areas": ["改进方向1", "改进方向2"],
            "recommendations": ["质量改进建议1", "质量改进建议2"]
          }
        input:
          department: ${inputs.department}
          data: ${steps.parse_data.output}
          trends: ${steps.trend_analysis.output}
        json_mode: true
        temperature: 0.4
        max_tokens: 2000

    # Step 4: 生成完整报告
    - id: generate_report
      description: 生成完整运营分析报告
      action:
        type: llm_generate
        template: |
          生成完整的医疗运营分析报告：

          科室: ${inputs.department}
          周期: ${inputs.report_period}

          请生成 JSON 格式报告：
          {
            "title": "报告标题",
            "executive_summary": "200字摘要",
            "data_overview": "数据概览",
            "key_findings": ["关键发现1", "关键发现2", "关键发现3"],
            "action_items": ["行动建议1", "行动建议2"],
            "preview_text": "300字报告预览"
          }
        input:
          department: ${inputs.department}
          report_period: ${inputs.report_period}
          data: ${steps.parse_data.output}
          trends: ${steps.trend_analysis.output}
          quality: ${steps.quality_analysis.output}
        json_mode: true
        temperature: 0.5
        max_tokens: 2000

  outputs:
    parsed_data: ${steps.parse_data.output}
    trends: ${steps.trend_analysis.output}
    quality: ${steps.quality_analysis.output}
    report: ${steps.generate_report.output}

  on_error: stop
  timeout_secs: 240