健康隨訪包系統報告生成需經標準化流程，通過五個關鍵步驟確保報告精準，為健康管理提供可靠依據。

　　The generation of health follow-up package system reports requires a standardized process, with five key steps to ensure accuracy and provide reliable basis for health management.

　　一、數據采集與錄入

　　1、 Data collection and input

　　設備數據（血壓計、血糖儀等）通過藍牙或 USB 同步至系統，傳輸中斷需重新連接。手動錄入主觀癥狀（如頭暈）、生活習慣（運動時長、飲食結構）等，選擇系統標準化選項（運動強度分低、中、高）。支持 Excel 模板批量導入，核對數據格式（血壓保留一位小數，血糖單位統一為 mmol/L），確保與數據庫字段匹配。

　　Device data (such as blood pressure monitors, blood glucose meters, etc.) is synchronized to the system via Bluetooth or USB. If the transmission is interrupted, it needs to be reconnected. Manually input subjective symptoms (such as dizziness), lifestyle habits (exercise duration, dietary structure), etc., and select the system's standardized options (low, medium, high exercise intensity). Support batch import of Excel templates, verify data format (keep blood pressure to one decimal place, unify blood glucose units in mmol/L), and ensure matching with database fields.

　　二、信息校驗與異常標注

　　2、 Information verification and anomaly annotation

　　系統自動校驗完整性，標紅提示必填項缺失、格式錯誤（如心率為負數），修正后生成修改記錄。數值按預設范圍校驗：成人收縮壓 90-140mmHg、空腹血糖 3.9-6.1mmol/L，超范圍數據標記 “異常” 并提示可能原因（如血壓高或與情緒緊張有關）。重復數據默認保留最新記錄，也可手動選最優值（如血壓取平均值），保障數據唯一。

　　The system automatically verifies the integrity, highlighting in red that required fields are missing or formatted incorrectly (such as negative heart rate). After correction, a modification record is generated. The values are verified within the preset range: adult systolic blood pressure is 90-140mmHg, fasting blood glucose is 3.9-6.1mmol/L, and data beyond the range is marked as "abnormal" and may indicate possible causes (such as high blood pressure or emotional tension). Duplicate data is retained by default with the latest record, or the optimal value can be manually selected (such as taking the average blood pressure) to ensure data uniqueness.

　　三、數據整合與健康分析

　　3、 Data integration and health analysis

　　按時間維度生成趨勢圖表（近 3 個月血壓曲線、每周血糖柱狀圖），標注正常參考虛線。結合年齡、基礎病史及監測數據，用預設模型評估健康風險（低、中、高），列出風險因素（如連續 3 次血壓＞140/90mmHg 提示高血壓風險）。異常指標自動關聯臨床指南建議（如血糖高建議減精制糖，每日監測 2 次）。

　　Generate trend charts based on time dimension (blood pressure curve for the past 3 months, weekly blood glucose bar chart), with normal reference dashed lines marked. Based on age, basic medical history, and monitoring data, use a preset model to assess health risks (low, medium, high), and list risk factors (such as blood pressure>140/90mmHg for three consecutive times indicating the risk of hypertension). Abnormal indicators are automatically associated with clinical guidelines (such as high blood sugar, it is recommended to reduce refined sugar and monitor twice a day).

　　四、報告生成與格式優化

　　4、 Report generation and format optimization

　　采用含基本信息（姓名、隨訪編號等）、數據匯總（分心血管、代謝等指標）、趨勢分析、風險評估、干預建議的標準化模板。可自定義樣式：選是否含圖表（彩色打印區分正常與異常）、加機構標識、調字體（老年群體≥12pt）。生成加密 PDF 報告，同時保存可編輯版本，便于后續更新，確保可追溯。

　　Adopt a standardized template that includes basic information (name, follow-up number, etc.), data summary (indicators such as distractors and metabolism), trend analysis, risk assessment, and intervention recommendations. Customizable styles: choose whether to include charts (color printing distinguishes between normal and abnormal), add institutional identification, and adjust font (elderly population ≥ 12pt). Generate encrypted PDF reports and save editable versions for future updates to ensure traceability.

　　五、審核與歸檔存儲

　　5、 Audit and archive storage

　　專業人員審核風險評估準確性（如是否漏并發癥因素）、干預建議適用性（如腎衰患者避用腎毒性藥），通過后簽電子簽名，系統記錄審核信息。未通過報告返回修改，需重新提交。報告按 “對象 ID + 日期” 命名，歸檔至數據庫（支持多關鍵詞檢索），云端加密備份，保存不少于 3 年。

　　Professional personnel review the accuracy of risk assessment (such as whether there are missing complications) and the applicability of intervention recommendations (such as avoiding nephrotoxic drugs for renal failure patients), and after signing the electronic signature, the system records the review information. Failed to return the report for modification, it needs to be resubmitted. The report is named by "object ID+date", archived to the database (supports multi keyword search), encrypted and backed up in the cloud, and saved for no less than 3 years.

　　特殊情況可靈活處理：對孕婦、慢性病患者調用專屬分析模型（如孕婦血壓正常范圍更低）；批量生成社區群體報告時，按區域、年齡段篩選，出異常率統計、健康問題排名等匯總內容。全程保障數據隱私，操作留痕（記錄登錄時間、內容），符合健康信息保護規定。

　　Flexible handling of special circumstances: calling exclusive analysis models for pregnant women and chronic disease patients (such as pregnant women with lower normal blood pressure ranges); When generating community group reports in bulk, filter by region and age group, and summarize content such as abnormal rate statistics and health problem rankings. Ensure data privacy throughout the entire process, leave operation records (recording login time and content), and comply with health information protection regulations.

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