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healthcare-data-domain医疗保健数据域

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

192

周安装

8

GitHub Stars

2

下载量

64
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:healthcare-data-domain(医疗保健数据域)
来源仓库:https://github.com/hollandkevint/data-product-operator
仓库路径:skills/healthcare-data-domain
安装命令:
npx skills add https://github.com/hollandkevint/data-product-operator --skill healthcare-data-domain
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/hollandkevint/data-product-operator --skill healthcare-data-domain

简介

用于辅助医疗数据的整理、清洗与分析准备。

  • 适合处理 CSV/Excel 表格、计算指标或生成统计口径。
  • 使用时需确认数据来源和时间范围,避免样本偏差。
  • 涉及敏感数据时应先确认脱敏规则和导出权限。
  • healthcare-data-domain 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

When This Skill Applies

Activate when the data product involves: electronic health records (EHR), claims/billing data, clinical terminology, patient-level data, OMOP CDM, FHIR/HL7, or any data governed by HIPAA.

Do NOT activate for: general analytics, marketing data, financial data, or non-clinical datasets.

Core Standards

FHIR (Fast Healthcare Interoperability Resources) - Modern API standard for health data exchange. Resource-based (Patient, Observation, MedicationRequest, Condition, Encounter). Use for real-time integrations and patient-facing apps.

HL7 v2 - Legacy messaging standard still dominant in hospital systems. Pipe-delimited segments (MSH, PID, OBX). Expect to encounter this in any EHR integration project.

OMOP CDM (Common Data Model) - Research-optimized schema for observational health data. Core tables: PERSON, VISIT_OCCURRENCE, CONDITION_OCCURRENCE, DRUG_EXPOSURE, MEASUREMENT, OBSERVATION, PROCEDURE_OCCURRENCE. Use for analytics and real-world evidence studies.

Clinical Terminology Systems

SystemWhat It CodesExample
ICD-10-CMDiagnosesF32.1 (Major depressive disorder, single episode, moderate)
CPTProcedures99213 (Office visit, established patient)
SNOMED CTClinical concepts73211009 (Diabetes mellitus)
LOINCLab tests/observations2345-7 (Glucose, serum/plasma)
RxNormMedications197361 (Sertraline 50mg tablet)
NDCDrug packagesNational Drug Code for specific manufacturer/package

ALWAYS use standard terminology codes rather than free-text descriptions. Map to the appropriate code system for the use case.

OMOP Analytics Patterns

The 30-40 normalized OMOP tables are wrong for analytics dashboards. Transform to star schema with strategic denormalization:

  • Fact tables: Drug exposures, visits, conditions (events become facts)
  • Dimension tables: Patient, drug, diagnosis
  • Pre-calculated cohort definitions for common queries
  • NEVER fully denormalize (One Big Table). Healthcare's many-to-many relationships cause exponential row growth.

See domain-reference.md for detailed OMOP table relationships and FHIR resource mappings.

FHIR Gotchas

Common mistakes when working with FHIR resources:

GotchaWhat Trips You UpFix
Coding vs CodeableConceptCoding is a single code. CodeableConcept wraps multiple codings with a display text. Most FHIR fields use CodeableConcept.Always access .coding[0].code, not .code directly.
Patient.identifier vs Patient.id.id is the FHIR server's internal ID. .identifier holds MRNs, SSNs, and other business identifiers.Query by .identifier.value with the correct .identifier.system.
Observation.value[x]Polymorphic field. Could be valueQuantity, valueString, valueCodeableConcept, or others.Check the resource profile or test data to know which type your source sends.
Bundle paginationSearch results return pages of 20-50 resources. The full result set requires following Bundle.link where relation = "next".Always paginate. NEVER assume a single Bundle contains all results.

FHIR-to-OMOP Mapping

When transforming FHIR resources into OMOP CDM:

FHIR ResourceOMOP TableKey Mapping Notes
PatientpersonMap Patient.birthDateyear_of_birth. Gender codes differ between systems.
Conditioncondition_occurrenceCondition.codecondition_concept_id via SNOMED-to-OMOP vocabulary mapping.
ObservationmeasurementLab results map here. Use LOINC code from Observation.code for measurement_concept_id.
MedicationRequestdrug_exposureMap RxNorm codes. MedicationRequest.dosageInstructiondose_value/dose_unit.
Encountervisit_occurrenceEncounter.classvisit_concept_id. Map inpatient/outpatient/emergency.

Common LOINC Codes for Vitals

Vital SignLOINC CodeUnits
Blood pressure, systolic8480-6mmHg
Blood pressure, diastolic8462-4mmHg
Heart rate8867-4/min
Body temperature8310-5Cel
Body weight29463-7kg
Body height8302-2cm

HIPAA Awareness

CRITICAL: Any data product handling patient data must consider the 18 HIPAA identifiers. See domain-reference.md for the full list. De-identification is required before data leaves a HIPAA-governed environment.

This skill provides general domain context, not compliance advice. Involve your privacy officer and legal team for HIPAA compliance decisions.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.82%
按下载量换算24

Claude

29.44%
按下载量换算19

Cursor

19.81%
按下载量换算13

Gemini CLI

8.97%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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