Ange Shanghai Arrival & Medical Visit Assistant

安哥上海来沪到院流程协助 Agent

项目一句话介绍

本项目面向外地及海外来沪用户，提供上海到院前、到院中、到院后的非诊疗流程协助。系统通过 AI 帮助单人服务者完成客户咨询识别、信息提取、服务边界判断、行前清单生成、现场 SOP 规划、客户沟通、隐私提醒和案例复盘。

它不是医疗诊断系统，也不是传统陪诊平台，更不是代挂号、代问诊或黄牛服务。
它解决的是：第一次来上海医院、外地家属不在现场、老人孩子行动不便、院区楼栋复杂、材料窗口不清、线上状态和线下办理不一致等真实流程问题。

Quick Summary

This project helps cross-border and out-of-town users prepare for hospital visits and local non-medical process coordination in Shanghai.

It focuses on arrival preparation, hospital campus guidance, document checklist generation, on-site SOP planning, communication support, privacy reminders, and post-service case review.

It does not provide medical diagnosis, treatment advice, hospital registration scalping, prescription suggestions, or guaranteed hospital results.

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适用人群

本项目主要适用于：

• 外地来上海看病或办医院流程的人
• 海外华人回国到上海就医或处理医院相关事项
• 第一次去上海大型医院、不熟悉院区和楼栋的人
• 带老人、孩子到院，担心走错楼、白跑、材料不全的家属
• 本人不方便到现场，需要本地人员协助确认流程的用户
• 需要远程同步现场进展的家属

核心痛点

很多用户卡住的不是医学判断，而是现场流程：

• 不知道应该去哪个院区
• 不知道该进哪栋楼、哪个窗口
• 不确定要带哪些材料
• 不知道线上状态是否等于线下已经办结
• 不清楚停车、下车、报到、排队顺序
• 家属不在现场，无法及时知道现场进展
• 流程问题没人帮忙拆解，只能自己反复问、反复跑

本项目解决什么

本项目通过 AI 工作流，把一次到院流程协助拆成可执行步骤：

客户咨询
→ 信息提取
→ 缺失信息追问
→ 服务边界判断
→ 行前准备清单
→ 现场执行 SOP
→ 客户/家属同步话术
→ 隐私检查
→ 案例复盘与模板沉淀

## Quick Summary

This project helps cross-border and out-of-town users prepare for hospital visits and local non-medical process coordination in Shanghai. It focuses on arrival preparation, hospital campus guidance, document checklist generation, on-site SOP planning, communication support, privacy reminders, and post-service case review.

It does not provide medical diagnosis, treatment advice, hospital registration scalping, prescription suggestions, or guaranteed hospital results.

## 1. Project Overview

Ange Shanghai Arrival & Medical Visit Assistant is an AI-powered OPC workflow designed for cross-border, overseas Chinese, foreign visitors, and out-of-town users who need local arrival and hospital visit process assistance in Shanghai.

The project focuses on non-medical process coordination, including arrival preparation, hospital route guidance, campus and building clarification, document checklist generation, on-site SOP planning, communication support, privacy reminders, and service case review.

It does not provide medical diagnosis, treatment advice, hospital registration scalping, prescription suggestions, or guaranteed hospital results.

## 2. Problem Background

Many users who come to Shanghai for hospital visits are not mainly confused by medical decisions. Their real difficulties are practical process problems:

- Which hospital campus should they go to?
- Which building or counter should they visit first?
- What documents should they prepare?
- Where should they park or arrive?
- Does an online status mean the offline process is completed?
- Can a family member or local assistant help confirm the process?
- How can remote family members stay updated during the visit?

These problems are especially painful for:

- Overseas Chinese returning to Shanghai
- Foreign visitors in Shanghai
- Out-of-town patients and families
- Elderly patients and children
- Family members who cannot be on-site
- Users dealing with refunds, document confirmation, counter procedures, or cross-campus process issues

## 3. Target Users

The target users include:

1. Cross-border users visiting Shanghai hospitals
2. Overseas Chinese returning to China for hospital visits
3. Foreign visitors who are unfamiliar with Shanghai hospital processes
4. Out-of-town families coming to Shanghai for medical-related procedures
5. Elderly patients and children who need local process support
6. Family members who need on-site process updates
7. Users who need non-medical hospital process coordination

## 4. Core Solution

The system helps a single local service provider complete tasks that usually require multiple roles, such as:

- Customer support
- Process consultant
- Local route guide
- Service boundary checker
- On-site SOP planner
- Communication assistant
- Privacy checker
- Case review assistant

The workflow includes:

User Inquiry
→ Information Extraction
→ Service Boundary Check
→ Preparation Checklist
→ On-site SOP
→ Communication Scripts
→ Privacy Protection
→ Case Review

## 5. Core Modules

### Module 1: User Inquiry Analyzer

Extracts key information from user messages, including hospital name, campus, date, time, service request, transportation method, family member status, and missing information.

### Module 2: Service Boundary Checker

Identifies whether the request involves medical diagnosis, treatment advice, hospital registration scalping, privacy risks, authorization issues, missing documents, or offline uncertainty.

### Module 3: Preparation Checklist Generator

Generates a pre-visit checklist, including documents, arrival time, route, parking, first stop, possible risks, and questions that need on-site confirmation.

### Module 4: On-site SOP Planner

Creates a step-by-step on-site workflow for the local assistant, including where to ask, which counter to confirm, when to update the user, and how to handle uncertainty.

### Module 5: Communication Script Generator

Generates clear, polite, and boundary-aware scripts for user communication before, during, and after the service.

### Module 6: Privacy Protection Reminder

Checks whether screenshots, documents, payment records, hospital forms, IDs, medical records, and chat records contain sensitive information that should not be shared publicly.

### Module 7: Case Review Assistant

Turns each real service case into a reusable review, including process lessons, user pain points, SOP updates, and future content ideas.

## 6. Human-AI Collaboration

AI is responsible for:

- Organizing information
- Extracting user needs
- Identifying service risks
- Generating checklists
- Creating SOPs
- Drafting communication scripts
- Reviewing privacy risks
- Summarizing service cases

The human local assistant is responsible for:

- Final service judgment
- Real user communication
- On-site confirmation
- Emergency handling
- Trust building
- Payment and service delivery
- Service boundary control

This project demonstrates how one person can use AI to coordinate a real-world service workflow that would otherwise require a small team.

## 7. Safety and Compliance Boundaries

This project does not provide:

- Medical diagnosis
- Treatment advice
- Prescription suggestions
- Hospital registration scalping
- Doctor recommendation as a medical guarantee
- Guaranteed hospital results
- Exposure of patient privacy
- Illegal or gray-area hospital services

This project only provides:

- Non-medical process coordination
- Arrival and route guidance
- Hospital campus and building clarification
- Document checklist reminders
- Counter and process confirmation
- Family communication support
- Case review and workflow improvement

## 8. Expected Value

The project can help users reduce:

- Wrong hospital campus visits
- Missing documents
- Repeated offline trips
- Communication gaps with family members
- Confusion around hospital counters and processes
- Service delivery uncertainty for local assistants

It can also help a single local service provider build a reusable workflow, improve service consistency, and accumulate structured case knowledge.

## 9. Future Roadmap

The next steps include:

1. Build more hospital process templates
2. Add multilingual support for English-speaking users
3. Improve user inquiry classification
4. Add more real-world case reviews
5. Build a lightweight demo workflow
6. Expand from hospital visit assistance to broader Shanghai arrival and local process support