系統構成與功能

System composition and functions

一、硬件設備 —— 精準采集健康數據

1、 Hardware equipment - precise collection of health data

健康隨訪包系統配備了一系列先進的硬件設備，如智能手環、電子血壓計、血糖儀、體脂秤等。這些設備能夠實時采集用戶的心率、血壓、血糖、體脂率等重要生理指標，并通過藍牙或 Wi-Fi 等無線傳輸技術，將數據自動同步到系統平臺。以智能手環為例，它不僅可以監測用戶的心率、睡眠質量，還能記錄用戶的運動步數和卡路里消耗，為健康管理提供全面的數據支持。

The health follow-up package system is equipped with a series of advanced hardware devices, such as smart bracelets, electronic blood pressure monitors, blood glucose meters, body fat scales, etc. These devices can collect important physiological indicators such as heart rate, blood pressure, blood sugar, and body fat percentage in real-time, and automatically synchronize the data to the system platform through wireless transmission technologies such as Bluetooth or Wi Fi. Taking smart wristbands as an example, they can not only monitor users' heart rate and sleep quality, but also record users' exercise steps and calorie consumption, providing comprehensive data support for health management.

二、軟件平臺 —— 高效管理健康信息

2、 Software Platform - Efficient Management of Health Information

1、健康檔案管理：系統為每位用戶建立了詳細的電子健康檔案，檔案內容涵蓋基本信息、病史、體檢報告、隨訪記錄等。醫護人員和公共衛生工作者可以隨時查閱用戶的健康檔案，了解其健康狀況的變化趨勢，為制定個性化的健康管理方案提供依據。

1. Health record management: The system has established detailed electronic health records for each user, covering basic information, medical history, physical examination reports, follow-up records, etc. Medical staff and public health workers can access users' health records at any time, understand the changing trends of their health status, and provide a basis for developing personalized health management plans.

2、隨訪任務管理：管理者可以在系統平臺上創建、分配和跟蹤隨訪任務。系統會根據預設的隨訪計劃，自動提醒工作人員進行隨訪，并提供標準化的隨訪問卷和操作流程，確保隨訪工作的規范化和標準化。同時，工作人員可以通過手機 APP 或電腦端，實時記錄隨訪過程中的信息，如患者的癥狀反饋、用藥情況等。

2. Follow up task management: Managers can create, assign, and track follow-up tasks on the system platform. The system will automatically remind staff to conduct follow-up according to the preset follow-up plan, and provide standardized follow-up questionnaires and operating procedures to ensure the standardization and normalization of follow-up work. At the same time, staff can record real-time information during the follow-up process, such as patient symptom feedback and medication use, through a mobile app or computer.

3、數據分析與預警：系統運用大數據分析技術，對采集到的健康數據進行深度挖掘和分析。一旦發現用戶的健康指標出現異常，系統會立即發出預警信息，提醒醫護人員和用戶本人及時采取措施。例如，當用戶的血壓連續多次超出正常范圍時，系統會自動向用戶發送預警短信，并將相關信息推送給負責隨訪的醫生，以便醫生及時調整治療方案。

3. Data analysis and warning: The system uses big data analysis technology to deeply mine and analyze the collected health data. Once the user's health indicators are found to be abnormal, the system will immediately issue a warning message to remind medical staff and the user to take timely measures. For example, when a user's blood pressure exceeds the normal range multiple times in a row, the system will automatically send a warning message to the user and push the relevant information to the doctor responsible for follow-up, so that the doctor can adjust the treatment plan in a timely manner.

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