feat(pipelines): add 10 industry-specific pipeline templates
Education (3): research-to-quiz, student-analysis, lesson-plan Healthcare (3): policy-compliance, meeting-minutes, data-report Design Shantou (4): trend-to-design, competitor-research, client-communication, supply-chain-collect
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pipelines/healthcare/data-report.yaml
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205
pipelines/healthcare/data-report.yaml
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# ZCLAW Pipeline - 医疗数据报告生成
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# 输入科室运营数据,自动生成结构化运营分析报告
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apiVersion: zclaw/v1
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kind: Pipeline
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metadata:
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name: healthcare-data-report
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displayName: 医疗数据报告生成
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category: healthcare
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industry: healthcare
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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
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tags:
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- 医疗
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- 数据报告
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- 运营分析
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- 行政管理
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icon: 📈
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author: ZCLAW
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version: 1.0.0
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spec:
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inputs:
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- name: data_content
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type: text
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required: true
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label: 运营数据
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placeholder: |
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粘贴科室运营数据,支持格式:
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指标名称,数值 或自由文本描述
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例如:门诊量 1250人次,同比增长8%
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- name: report_period
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type: select
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required: false
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label: 报告周期
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default: 月报
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options:
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- 周报
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- 月报
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- 季报
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- 半年报
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- 年报
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- name: department
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type: string
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required: false
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label: 科室
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placeholder: 例如:内科、外科、急诊科
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- name: focus_areas
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type: multi-select
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required: false
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label: 分析重点
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default:
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- volume_analysis
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- quality_metrics
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- financial
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options:
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- volume_analysis
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- quality_metrics
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- financial
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- patient_satisfaction
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- resource_utilization
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steps:
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# Step 1: 数据解析
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- id: parse_data
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description: 解析原始数据为结构化指标
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action:
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type: llm_generate
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template: |
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解析以下医疗运营数据为结构化指标:
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报告周期: {{report_period}}
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科室: {{department}}
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原始数据:
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```
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{{data_content}}
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```
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请生成 JSON 格式:
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{
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"metrics": {
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"outpatient": {"value": 0, "unit": "人次", "yoy_change": "同比变化"},
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"inpatient": {"value": 0, "unit": "人次", "yoy_change": ""},
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"surgery": {"value": 0, "unit": "台次", "yoy_change": ""},
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"bed_occupancy": {"value": "0%", "unit": "", "yoy_change": ""},
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"average_stay": {"value": "0天", "unit": "", "yoy_change": ""},
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"revenue": {"value": "0万", "unit": "", "yoy_change": ""}
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},
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"data_quality": "数据完整/部分缺失",
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"missing_fields": ["缺失指标"]
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}
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input:
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data_content: ${inputs.data_content}
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report_period: ${inputs.report_period}
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department: ${inputs.department}
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json_mode: true
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temperature: 0.3
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max_tokens: 2000
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# Step 2: 同比环比分析
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- id: trend_analysis
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description: 同比环比趋势分析
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action:
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type: llm_generate
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template: |
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对以下医疗指标进行趋势分析:
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科室: ${inputs.department}
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报告周期: ${inputs.report_period}
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结构化数据: ${steps.parse_data.output}
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请生成 JSON 格式:
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{
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"trends": [
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{
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"metric": "指标名称",
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"current": "当前值",
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"previous": "上期值",
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"change_rate": "变化率",
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"trend": "上升/下降/持平",
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"assessment": "正常/需关注/预警"
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}
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],
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"highlights": ["亮点1", "亮点2"],
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"concerns": ["关注点1", "关注点2"],
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"overall_assessment": "整体评估"
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}
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input:
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department: ${inputs.department}
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report_period: ${inputs.report_period}
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data: ${steps.parse_data.output}
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json_mode: true
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temperature: 0.4
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max_tokens: 2500
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# Step 3: 质量指标分析
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- id: quality_analysis
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description: 医疗质量指标分析
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action:
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type: llm_generate
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template: |
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基于运营数据进行医疗质量分析:
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科室: ${inputs.department}
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运营数据: ${steps.parse_data.output}
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趋势分析: ${steps.trend_analysis.output}
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请生成 JSON 格式:
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{
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"quality_indicators": [
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{"indicator": "质量指标", "value": "当前值", "benchmark": "参考标准", "status": "达标/未达标"}
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],
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"safety_events": "安全事件统计",
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"improvement_areas": ["改进方向1", "改进方向2"],
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"recommendations": ["质量改进建议1", "质量改进建议2"]
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}
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input:
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department: ${inputs.department}
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data: ${steps.parse_data.output}
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trends: ${steps.trend_analysis.output}
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json_mode: true
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temperature: 0.4
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max_tokens: 2000
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# Step 4: 生成完整报告
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- id: generate_report
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description: 生成完整运营分析报告
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action:
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type: llm_generate
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template: |
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生成完整的医疗运营分析报告:
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科室: ${inputs.department}
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周期: ${inputs.report_period}
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请生成 JSON 格式报告:
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{
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"title": "报告标题",
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"executive_summary": "200字摘要",
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"data_overview": "数据概览",
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"key_findings": ["关键发现1", "关键发现2", "关键发现3"],
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"action_items": ["行动建议1", "行动建议2"],
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"preview_text": "300字报告预览"
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}
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input:
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department: ${inputs.department}
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report_period: ${inputs.report_period}
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data: ${steps.parse_data.output}
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trends: ${steps.trend_analysis.output}
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quality: ${steps.quality_analysis.output}
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json_mode: true
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temperature: 0.5
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max_tokens: 2000
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outputs:
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parsed_data: ${steps.parse_data.output}
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trends: ${steps.trend_analysis.output}
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quality: ${steps.quality_analysis.output}
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report: ${steps.generate_report.output}
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on_error: stop
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timeout_secs: 240
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