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icd10-cpt-coding-assistantICD10 CPT 编码助手

Agent Skill

icd10-cpt-coding-assistant 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,847

周安装

204

GitHub Stars

公开资料未说明

下载量

1,697
OpenClaw

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

MIT-0

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:icd10-cpt-coding-assistant(ICD10 CPT 编码助手)
来源仓库:https://github.com/aipoch-ai/icd10-cpt-coding-assistant
安装命令:
openclaw skills install icd10-cpt-coding-assistant
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install icd10-cpt-coding-assistant

简介

基于临床记录自动生成 ICD-10 诊断代码与 CPT 程序代码建议。

  • 适用于医疗文档编码辅助、保险申报准备等专业场景。
  • 通过 openclaw skills install icd10-cpt-coding-assistant 安装,需输入患者遭遇摘要。
  • 推荐结果仅供参考,最终编码应由持证人员审核确认。
  • 支持批量处理,但单次请求不宜超过 500 字描述。

SKILL.md

name
icd10-cpt-coding-assistant
description
Automatically recommend ICD-10 diagnosis codes and CPT procedure codes
version
1.0.0
category
Clinical
tags
[]
author
AIPOCH
license
MIT
status
Draft
risk_level
Medium
skill_type
Tool/Script
owner
AIPOCH
reviewer
last_updated
2026-02-06

ICD-10 & CPT Coding Assistant

A medical coding assistant that parses clinical notes and recommends appropriate ICD-10 diagnosis codes and CPT procedure codes with confidence scoring.

Overview

This skill analyzes clinical documentation to extract relevant medical information and map it to standardized coding systems:

  • ICD-10-CM: International Classification of Diseases, 10th Revision, Clinical Modification (diagnosis codes)
  • CPT: Current Procedural Terminology (procedure/service codes)

Technical Difficulty: HIGH ⚠️

⚠️ HUMAN REVIEW REQUIRED: Medical coding directly impacts billing, reimbursement, and clinical documentation. All recommendations must be verified by a certified medical coder or healthcare provider.

Usage

python scripts/main.py --input "clinical_note.txt" [--format json|text]

Or use programmatically:

from scripts.main import CodingAssistant

assistant = CodingAssistant()
result = assistant.analyze("Patient presents with acute bronchitis...")
print(result.icd10_codes)
print(result.cpt_codes)

Parameters

ParameterTypeDefaultRequiredDescription
--input, -istring-YesPath to clinical note file
--format, -fstringjsonNoOutput format (json, text)
--output, -ostringstdoutNoOutput file path
--confidence-thresholdfloat0.7NoMinimum confidence score (0.0-1.0)
--include-alternativesflagfalseNoInclude alternative code suggestions

Input Format

Accepts clinical notes in various formats:

  • Free-text narrative
  • SOAP notes (Subjective, Objective, Assessment, Plan)
  • Discharge summaries
  • Progress notes
  • Procedure reports

Output Format

ICD-10 Recommendations

{
  "icd10_codes": [
    {
      "code": "J20.9",
      "description": "Acute bronchitis, unspecified",
      "confidence": 0.92,
      "evidence": ["cough for 5 days", "wheezing on exam"],
      "alternatives": ["J20.0", "J44.9"]
    }
  ]
}

CPT Recommendations

{
  "cpt_codes": [
    {
      "code": "99213",
      "description": "Office visit, established patient, moderate complexity",
      "confidence": 0.85,
      "evidence": ["detailed history", "low complexity decision making"],
      "time": "20 minutes"
    }
  ]
}

Confidence Scoring

  • 0.90-1.00: High confidence - Clear documentation, unambiguous mapping
  • 0.70-0.89: Medium confidence - Good documentation, some interpretation required
  • 0.50-0.69: Low confidence - Incomplete documentation, multiple possibilities
  • <0.50: Very low confidence - Insufficient information, manual review essential

Limitations

  1. No Medical Advice: This tool does not provide clinical advice or diagnoses
  2. Coding Complexity: Cannot handle all coding nuances (comorbidities, sequencing, modifiers)
  3. Regional Variations: May not account for payer-specific coding requirements
  4. Updates: Code sets may not reflect the latest annual updates

References

See references/ folder for:

  • icd10_common_codes.json: Frequently used ICD-10 codes by specialty
  • cpt_common_codes.json: Frequently used CPT codes by specialty
  • coding_guidelines.md: General coding guidelines and conventions

Safety & Compliance

  • HIPAA Awareness: Ensure de-identification of PHI before processing
  • Audit Trail: Maintain records of automated recommendations for compliance
  • Human Oversight: All codes must be reviewed and approved by qualified personnel

Dependencies

  • Python 3.8+
  • See requirements.txt for package dependencies

Risk Assessment

Risk IndicatorAssessmentLevel
Code ExecutionPython/R scripts executed locallyMedium
Network AccessNo external API callsLow
File System AccessRead input files, write output filesMedium
Instruction TamperingStandard prompt guidelinesLow
Data ExposureOutput files saved to workspaceLow

Security Checklist

  • [ ] No hardcoded credentials or API keys
  • [ ] No unauthorized file system access (../)
  • [ ] Output does not expose sensitive information
  • [ ] Prompt injection protections in place
  • [ ] Input file paths validated (no ../ traversal)
  • [ ] Output directory restricted to workspace
  • [ ] Script execution in sandboxed environment
  • [ ] Error messages sanitized (no stack traces exposed)
  • [ ] Dependencies audited

Prerequisites

# Python dependencies
pip install -r requirements.txt

Evaluation Criteria

Success Metrics

  • [ ] Successfully executes main functionality
  • [ ] Output meets quality standards
  • [ ] Handles edge cases gracefully
  • [ ] Performance is acceptable

Test Cases

  1. Basic Functionality: Standard input → Expected output
  2. Edge Case: Invalid input → Graceful error handling
  3. Performance: Large dataset → Acceptable processing time

Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:

- Performance optimization - Additional feature support

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

73.52%
按下载量换算1,248

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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