ChartWhisper：医疗健康分析平台

一个全面的医疗健康数据审计平台，通过 Chrome 浏览器扩展实现网页抓取，结合 Azure OpenAI 提供 AI 驱动的分析，并提供多用户仪表盘用于质量评分和合规性跟踪。平台支持多租户组织、带有质量评分的患者数据记录、基于角色的访问控制以及详细的每日/每月分析。

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Technologies

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Key Features

Web

Platform

核心功能

Chrome Extension 用于无缝捕获临床网络数据AI 质量评分，支持多模型分析 (GPT-4, GPT-5)通过 Azure OpenAI 进行 HTML-to-JSON 转换CPT code 建议和验证基于角色的访问控制 — 超级管理员、管理员、医生、护士按类别划分的疾病分析与质量指标

开发亮点

用于临床数据提取的 Chrome Extension (Manifest v3)Azure OpenAI 集成，用于质量评分和分析多租户组织架构医疗健康数据安全的 AES encryption全面的审计跟踪，确保合规性带质量指标的疾病分析

技术栈

NestJSTypeScriptMySQLTypeORMRedisAzure OpenAIReact 18ViteRedux ToolkitTailwind CSSChrome Extension (Manifest v3)AES EncryptionJWTArgon2

我们的贡献

平台架构

设计了支持多租户组织的可扩展医疗健康数据审计的整体应用架构。

数据提取管道

开发了 Chrome Extension (Manifest v3)，通过内容脚本注入实现从临床网络系统无缝捕获数据，包括深度 iframe 遍历。

AI 处理引擎

实现了 Azure OpenAI 集成，用于 HTML-to-JSON 转换、具有可配置提示版本控制的质量评分以及自动 CPT code 建议。

后端开发

使用 TypeORM、MySQL、Redis 缓存、基于 Argon2 的 JWT 身份验证以及敏感数据静态 AES encryption 构建了 NestJS 后端。

前端与分析

使用 Redux Toolkit 构建了 React 前端，包括多用户仪表盘、疾病分析、质量指标可视化和全面的审计跟踪视图。

安全与合规性

实现了端到端安全，包括 AES encryption、跨四种用户角色的基于角色的访问控制，以及用于医疗健康法规合规性的完整审计日志。

成果

准确性: AI 驱动的分析能发现人工遗漏的质量问题合规性: 完整的审计跟踪符合医疗健康法规效率: 自动化提取消除了手动数据录入可扩展性: 支持多组织，具有基于角色的访问权限

项目特色

将基于 Chrome 扩展的临床数据捕获与 AI 驱动的质量分析相结合，自动化医疗健康数据审计，确保多租户组织的准确性、合规性和效率。

图库

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常见问题

MicrocosmWorks built the Chrome Extension using Manifest v3 with content script injection that runs transparently in the background while clinicians use their existing web-based EHR systems. The extension captures relevant clinical data through deep iframe traversal, converts it from HTML to structured JSON using Azure OpenAI, and sends it to the backend without requiring the clinician to switch applications or manually copy data.

MicrocosmWorks implemented quality scoring using Azure OpenAI with GPT-4 and GPT-5 models through configurable prompt versioning. The AI analyzes extracted clinical records against healthcare quality benchmarks, generates quality scores per data category, suggests appropriate CPT codes, and flags potential compliance issues. Prompt versioning allows administrators to refine scoring criteria without code changes, and A/B testing compares scoring accuracy across model versions.

MicrocosmWorks implemented AES encryption for all sensitive healthcare data at rest in MySQL, JWT authentication with Argon2 hashing, and complete audit trail logging for every data access event. Role-based access control supports four user roles: Super Admin, Admin, Doctor, and Nurse, each with scoped permissions. The multi-tenant organization architecture ensures strict data isolation between healthcare practices, meeting healthcare regulatory requirements.

Yes, MicrocosmWorks built ChartWhisper with multi-tenant organization support where each healthcare practice has isolated data, user management, and configuration settings. The Super Admin can manage multiple organizations, while Org Admins control their own practice's users and analytics. Redis caching optimizes cross-tenant queries while TypeORM ensures proper data isolation at the database level.

MicrocosmWorks built comprehensive analytics dashboards showing disease-specific quality metrics, daily and monthly scoring trends, category-level performance breakdowns, and individual provider scorecards. The React frontend with Redux Toolkit presents these insights through interactive visualizations that help quality teams identify systemic documentation gaps. Audit trail reports support compliance reviews and can be exported for accreditation submissions.