TWI609347B - Health Analysis Management System - Google Patents
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本發明提供一種健康分析管理系統，特別是關於一種可經由網路自主學習如何改善人體健康並預防疾病發生之生理狀況分析及管理系統，尤其涉及分析、管理系統之雲端資料庫單元、健康分析單元、健康管理單元、網路學習單元與醫療機構之轉介單元。The invention provides a health analysis management system, in particular to a physiological condition analysis and management system capable of autonomously learning how to improve human health and prevent disease occurrence via a network, in particular, a cloud data base unit and a health analysis unit of an analysis and management system. , health management unit, online learning unit and referral unit of medical institution.
按，一般病人或生體不適等需要被照護者到醫院就診時，通常先經過醫生的問診、血液檢驗、以及身體檢查等程序後，再依照日期將血液檢驗、身體檢查的結果抄寫在紙本上或輸入電腦，藉以製作成紙本式或數位式病歷資料。
目前，大部分的醫院皆係運用醫療資訊管理系統(Healthcare Information System , HIS)對病人或生體不適者的病歷資料進行管理，HIS系統是一種電子式的病歷管理系統，係由醫生的問診、身體健檢等醫療程序後，將病人或生體不適者的病歷資料輸入電腦，並依照該些醫療程序的執行日期儲存於資料庫中；因此，只要該病人或生體不適者曾在該醫院進行過檢驗，則日後該病人或生體不適者再次就診時，醫院的醫生即可在電腦上輸入該病人或生體不適者的個人認證資訊，迅速調閱該病人或或生體不適者的病歷資料。
然而，前述HIS系統之病歷資料只利於醫生查詢，對於病人或生體不適者本身而言並無實質的利益存在。若病人或生體不適者想要查看自己的病歷，通常需要經過另外申請，相當不便；因此，當醫生診斷期間，病人或生體不適者必須強記自己之生理狀況與病況，並記憶醫生口述之身體健康之改善與預防建議；惟其缺點在於，病人或生體不適者容易發生精神狀況欠佳的情形，難以仔細記憶自己之生理狀況、病況與改善、預防建議，特別是生病或生體不適之中、老年人，如此病人或生體不適者對於自身之健康狀況不容易掌握，並造成對自身之健康改善與預防措施難以作出適當對策的問題。
以目前市面上的醫療系統來說，最不人性化的在於醫生個人事務繁忙，無法督促病人或生體不適者照著醫生的處方進行用藥、復健及回診等動作；如此一來，即使醫生按照病人的需求訂定專屬的計畫，但若病人或生體不適者在一知半解的情況下未按完整的按照計畫進行，將會嚴重影響疾病的治療成效。
此外，當病人或生體不適者到醫院就診時，只能由醫生針對病人或生體不適者目前之身體狀況，配合先前的病歷資料，進行疾病的診斷及對應的治療；然而，並無一套機制能夠根據病人之生理數據、生活習慣、以及家族病史預測將來可能罹患的疾病，並給予適當的建議及制定預防計畫，因此目前市面上之醫療系統皆係屬於現在式的治療系統，無法有效兼顧預防的效果。
有鑑於此，如何克服上述先前技術的諸多問題，將是在此領域技術者所欲解決之困難所在。According to the general patient or the biological discomfort and other need for the caregiver to go to the hospital for treatment, usually after the doctor's consultation, blood test, and physical examination procedures, and then copy the results of the blood test and physical examination on the paper according to the date. Enter or enter a computer to create a paper-based or digital medical record.
At present, most hospitals use the Health Information System (HIS) to manage the medical records of patients or people with physical discomfort. The HIS system is an electronic medical record management system, which is consulted by doctors. After medical procedures such as physical examination, the medical records of the patient or the unwell person are entered into the computer and stored in the database according to the execution date of the medical procedures; therefore, as long as the patient or the unwell person has been in the hospital After the test, the doctor of the hospital can enter the personal authentication information of the patient or the person who is unwell on the computer, and quickly refer to the patient or the person who is unwell. Medical record information.
However, the medical records of the aforementioned HIS system are only for the convenience of doctors, and there is no substantial benefit to the patient or the person with physical disability. If the patient or the unwell person wants to check his or her medical history, it usually needs to go through another application, which is quite inconvenient; therefore, during the doctor's diagnosis, the patient or the person with physical discomfort must remember his or her physiological condition and condition, and remember the doctor's oral dictation. Suggestions for improvement and prevention of physical health; but the disadvantage is that patients or people with physical discomfort are prone to poor mental condition, and it is difficult to memorize their physical condition, condition and improvement, prevention advice, especially illness or physical discomfort. In the middle and the elderly, such patients or patients with physical discomfort are not easy to grasp their own health conditions, and it is difficult to make appropriate countermeasures for their own health improvement and preventive measures.
In the current medical system on the market, the most unhumanized is that the doctor's personal affairs are busy, and it is impossible to urge patients or patients with physical discomfort to follow the doctor's prescription for medication, rehabilitation and returning to the doctor; thus, even the doctor The exclusive plan is set according to the patient's needs, but if the patient or the unwell person is not in accordance with the complete plan in a smattering situation, it will seriously affect the treatment effect of the disease.
In addition, when a patient or a person with a physical discomfort goes to the hospital, the doctor can only diagnose the disease and the corresponding treatment according to the current physical condition of the patient or the person with the physical discomfort; however, there is no one. The mechanism can predict the future diseases according to the patient's physiological data, living habits, and family history, and give appropriate advice and preventive plans. Therefore, the medical systems currently on the market belong to the current treatment system. Effectively take into account the effects of prevention.
In view of this, how to overcome the problems of the prior art mentioned above will be the difficulty that the technicians in the field want to solve.
本發明之主要目的，係提供一種可經由網路自主學習如何改善人體健康並預防疾病發生之生理狀況分析及管理系統，以克服上述先前技術中的諸多問題。
為達成上述目的，本發明之健康分析管理系統，包含：
一雲端資料庫單元，接受輸入被照護者之一生理資料與一病歷資料；
一健康分析單元，電性連接該雲端資料庫單元，該健康分析單元預設有一健康標準資料及一風險評估參數，且健康分析單元依據所述健康標準資料與風險評估參數比對所述生理資料及病歷資料，而判斷被照護者之身體狀況為未生病之健康、生理異常之亞健康或已生病之不健康，並對亞健康之被照護者預測出一可能罹患之未發生疾病資料；
一健康管理單元，電性連接所述雲端資料庫單元與健康分析單元，該健康管理單元預設有一健康改善預防計畫比對表資料，該健康改善預防計畫比對表資料記錄有複數筆包含飲食項目建議、運動項目建議及生活型態建議之健康改善預防計畫，該健康管理單元於該健康分析單元判斷被照護者之身體狀況為健康時，持續追蹤、讀取被照護者之所述生理資料及病歷資料，並於該健康分析單元判斷被照護者之身體狀況為亞健康時，依據該健康改善預防計畫比對表資料比對所述生理資料、病歷資料及可能罹患之未發生疾病資料，而估測出一包含飲食項目建議、運動項目建議及生活型態建議之健康改善預防計畫資料；
一網路學習單元，電性連接該健康管理單元，且網路學習單元具有一顯示介面，該網路學習單元能夠接收所述可能罹患之未發生疾病資料及健康改善預防資料，並經由該顯示介面顯示所述可能罹患之未發生疾病資料及健康改善預防資料，用以教示被照護者經由網路自主學習如何改善人體健康並預防疾病發生；及
一轉介單元，電性連接所述健康分析單元、健康管理單元與網路學習單元，並外接外界醫療機構的伺服器，該轉介單元於該健康分析單元判斷被照護者之身體狀況為不健康時，經由該網路學習單元之顯示介面顯示一醫療機構資料，用以提示被照護者立即就醫。
據此，以達到上述經由網路自主學習如何改善人體健康並預防疾病發生之目的。
以下進一步說明本發明之具體實施方式：
依據上述主要結構特徵，該雲端資料庫單元包含一資料輸入雲端介面及一健康資料庫，該資料輸入雲端介面接受照護者、被照護者或醫療機構輸入所述生理資料與病歷資料，該健康資料庫能夠儲存被照護者之一身份資料、以及被照護者之所述生理資料與病歷資料。
依據上述主要結構特徵，該資料輸入雲端介面對外連接醫療機構之伺服器，該資料輸入雲端介面接收該醫療機構之伺服器中屬於該被照護者的病歷資料，並儲存至該健康資料庫中以更新該病歷資料。
依據上述主要結構特徵，該資料輸入雲端介面接收該被照護者通過一生理檢測器量測並上傳的生理資料，並儲存至該健康資料庫中以更新該生理資料，或者該資料輸入雲端介面還接收照護者或被照護者自行輸入的生理資料，並儲存至該健康資料庫中以更新該生理資料。
依據上述主要結構特徵，該健康分析單元包含一整合病歷處理模組及一風險評估處理模組，該整合病歷處理模組讀取所述被照護者的病歷資料，藉以對被照護者的已發生疾病進行整合而成一可供查詢之統計圖表，該風險評估處理模組讀取所述被照護者的生理資料，並將該生理資料套入該風險評估參數後，計算出一風險評估數值，藉以由該風險評估處理模組預測被照護者之所述可能罹患之未發生疾病資料，該風險評估參數之健康條件範圍包含體脂肪為18.5~23.9kg、膽固醇為小於200mg/dl、血壓為85~130mmHg、血糖為小於100 mg/dl、心電圖之心律正常，該風險評估參數之亞健康條件範圍包含體脂肪為小於18.5kg或24.0~26.9kg、膽固醇為200~239mg/dl、血壓為85~90mmHg或130~140mmHg、血糖為100~126 mg/dl，該風險評估參數之不健康條件範圍包含體脂肪為大於等於27kg、膽固醇為大於等於240mg/dl、血壓為大於140mmHg或小於90mmHg、血糖為大於126 mg/dl、心電圖之心律不正常。
依據上述主要結構特徵，該健康管理單元包含一飲食管理模組、一運動管理模組、以及一營養管理模組，該飲食管理模組經由該雲端資料庫單元接收並記錄被照護者的日常飲食項目達成數據，據以計算被照護者日常攝取的一營養素數據資料，該運動管理模組經由該雲端資料庫單元接收並記錄被照護者的日常運動項目達成數據，據以計算被照護者日常消耗的一熱量數據資料，該健康管理單元讀取所述營養素數據資料與熱量數據資料，而經由一行動健康管理師調整該營養管理模組產生該健康改善預防計畫資料。
依據上述主要結構特徵，該健康管理單元包含一行事曆處理模組，該行事曆處理模組接受該營養管理模組控制而經由該網路學習單元之顯示介面顯示一實施該健康改善預防計畫資料之行事曆，並於行事曆上設定起始時間與每日之飲食項目建議、運動項目建議及生活型態建議，所述飲食管理模組、運動管理模組經由該雲端資料庫單元對該行事曆輸入被照護者之日常飲食項目達成數據及日常運動項目達成數據，用以自該起始時間起產生一定週期的治療改善計畫或預防計畫，並依照日期順序顯示於該行事曆上。
依據上述主要結構特徵，該健康管理單元包含一計畫追蹤管制模組，該計畫追蹤管制模組依據該行事曆之日期檢查所述輸入行事曆之被照護者之日常飲食項目達成數據及日常運動項目達成數據，而判斷被照護者是否按照該行事曆之日期上傳日常飲食項目達成數據及日常運動項目達成數據，且計畫追蹤管制模組於被照護者未按照該行事曆之日期上傳日常飲食項目達成數據及日常運動項目達成數據時產生一警示信號，並經由該網路學習單元之顯示介面或/及簡訊顯示該警示信號。
依據上述主要結構特徵，該健康管理單元包含一績效管理模組，該績效管理模組經由該計畫追蹤管制模組監控該行事曆之被照護者之日常飲食項目達成數據及日常運動項目達成數據的輸入情況，用以管理被照護者實施該健康改善預防計畫資料之一健康改善預防績效數據，並經由該網路學習單元之顯示介面或/及簡訊顯示該健康改善預防績效數據。
依據上述主要結構特徵，所述警示信號及健康改善預防績效數據經由該網路學習單元之顯示介面或/及簡訊提供照護者與被照護者。
相較於先前技術，本發明實具有如下之優點：
1.除了可接受照護者或被照護者自行上傳或輸入之生理資料、日常飲食項目達成數據及日常運動項目達成數據外，還能介接醫院、診所等醫療機構之伺服器中被照護者的病歷資料，藉以令整合之健康資料更為充足，有利於照護者與被照護者充分掌握被照護者之健康狀況。
2.能夠整合被照護者的已發生疾病，藉以進行管理及查詢，並且還能評估被照護者的未來可能罹患的未發生疾病，並加以預防。
3.可依據被照護者的已發生疾病及未發生疾病訂定專屬的治療改善計畫或預防計畫，藉以治療已發生疾病，並降低未發生疾病的發生機率。
4.當被照護者的生理量測數據異常時，立即安排至醫療機構就醫，藉以避免延誤病情的狀況。
5.可於被照護者未按照量測頻率進行量測時，立即通知被照護者按照量測頻率進行量測，並通知照護者進行處理及後續的追蹤動作。
然而，為能明確且充分揭露本發明，併予列舉較佳實施之圖例，以詳細說明其實施方式如後述：The main object of the present invention is to provide a physiological condition analysis and management system capable of autonomously learning how to improve human health and prevent disease occurrence via the Internet, thereby overcoming many problems in the prior art described above.
To achieve the above object, the health analysis management system of the present invention comprises:
a cloud database unit that accepts input of physiological data of one of the caregivers and a medical record data;
a health analysis unit electrically connecting the cloud database unit, the health analysis unit presets a health standard data and a risk assessment parameter, and the health analysis unit compares the physiological data with the risk assessment parameter according to the health data And the medical record data, and the health condition of the care recipient is determined to be unhealthy, the sub-health of the physiological abnormality or the unhealthy disease, and the sub-health caregivers are predicted to have a disease data that may be affected;
a health management unit electrically connecting the cloud database unit and the health analysis unit, wherein the health management unit presets a health improvement prevention plan comparison table data, wherein the health improvement prevention plan comparison table records a plurality of pens A health improvement prevention plan including a dietary proposal, a sports proposal, and a lifestyle recommendation. The health management unit continuously tracks and reads the care recipient when the health analysis unit determines that the physical condition of the care recipient is healthy. The physiological data and the medical record data are described, and when the health analysis unit determines that the physical condition of the care recipient is sub-health, the physiological data, medical record data, and possible medical problems are compared according to the health improvement prevention plan comparison table data. Disease data were generated and a health improvement prevention plan containing dietary recommendations, exercise proposals and lifestyle recommendations was estimated;
An online learning unit electrically connected to the health management unit, and the network learning unit has a display interface, and the network learning unit is capable of receiving the unaffected disease data and health improvement prevention data that may be affected by the display The interface displays the potentially unoccupied disease data and health improvement prevention data to teach the care recipient to learn how to improve human health and prevent disease occurrence through the Internet; and a referral unit to electrically connect the health analysis a unit, a health management unit, and an e-learning unit, and an external external medical institution server, wherein the referral unit displays the display interface of the network learning unit when the health analysis unit determines that the physical condition of the care recipient is unhealthy A medical institution's information to prompt the caregiver to seek immediate medical attention.
Accordingly, in order to achieve self-learning through the Internet, how to improve human health and prevent disease occurrence.
Specific embodiments of the invention are further described below:
According to the above main structural features, the cloud database unit includes a data input cloud interface and a health database, and the data input cloud interface receives the physiological data and medical record data from the caregiver, the care recipient or the medical institution, and the health data The library is capable of storing identity data of one of the caregivers and the physiological data and medical record data of the care recipient.
According to the above main structural features, the data input cloud is connected to the server connected to the medical institution, and the data input cloud interface receives the medical record information belonging to the caregiver in the server of the medical institution, and stores the medical record data in the health database. Update the medical record information.
According to the above main structural features, the data input cloud interface receives the physiological data measured and uploaded by the caregiver through a physiological detector, and is stored in the health database to update the physiological data, or the data input cloud interface is further The physiological data input by the caregiver or the caregiver is received and stored in the health database to update the physiological data.
According to the above main structural features, the health analysis unit includes an integrated medical record processing module and a risk assessment processing module, and the integrated medical record processing module reads the medical record data of the care recipient, so that the caregiver has occurred The disease is integrated into a statistical chart for querying, the risk assessment processing module reads the physiological data of the care recipient, and inserts the physiological data into the risk assessment parameter to calculate a risk assessment value, thereby The risk assessment processing module predicts the unaffected disease data of the caregiver, and the health condition range of the risk assessment parameter includes body fat of 18.5-23.9 kg, cholesterol of less than 200 mg/dl, and blood pressure of 85~ 130mmHg, blood glucose is less than 100 mg/dl, and the heart rate of the ECG is normal. The sub-health conditions of the risk assessment parameters include body fat of less than 18.5 kg or 24.0-26.9 kg, cholesterol of 200-239 mg/dl, and blood pressure of 85-90 mmHg. Or 130~140mmHg, blood glucose is 100~126 mg/dl, and the unhealthy condition range of the risk assessment parameter includes body fat of 27kg or more, cholesterol is greater than, etc. 240mg / dl, or less than 140mmHg blood pressure greater than 90mmHg, blood glucose greater than 126 mg / dl, the ECG irregular heart rhythm.
According to the above main structural features, the health management unit comprises a diet management module, a motion management module, and a nutrition management module, and the diet management module receives and records the daily diet of the caregiver via the cloud database unit. The project reaches data for calculating a nutrient data data taken by the caregiver daily, and the motion management module receives and records the daily exercise item achievement data of the caregiver via the cloud database unit, thereby calculating daily consumption of the caregiver The health management unit reads the nutrient data and the heat data, and the health management module adjusts the nutrition management module to generate the health improvement prevention plan data.
According to the above main structural features, the health management unit includes a calendar processing module, and the calendar processing module is controlled by the nutrition management module to display the health improvement prevention program via the display interface of the network learning unit. The calendar of the data, and setting the start time and the daily diet item suggestion, the sport item suggestion and the lifestyle type suggestion on the calendar, the diet management module and the motion management module via the cloud database unit The calendar enters the data of the daily diet items of the caregiver and the daily exercise data to generate a certain period of treatment improvement plan or prevention plan from the start time, and displays it on the calendar according to the date sequence. .
According to the above main structural features, the health management unit includes a plan tracking control module, and the plan tracking control module checks the daily diet items of the input person's calendar to obtain data and daily according to the date of the calendar. The sports project reaches the data, and determines whether the caregiver uploads the daily diet project achievement data and the daily exercise project achievement data according to the date of the calendar, and the plan tracking control module uploads the daily life to the care recipient according to the date of the calendar. When the food item reaches the data and the daily sports item reaches the data, a warning signal is generated, and the warning signal is displayed through the display interface or/and the newsletter of the network learning unit.
According to the above main structural features, the health management unit includes a performance management module, and the performance management module monitors the daily diet item achievement data of the caretaker of the calendar and the daily sports achievement data through the plan tracking control module. The input condition is used to manage the health improvement prevention performance data of the health improvement prevention plan data of the caregiver, and the health improvement prevention performance data is displayed through the display interface or/and the newsletter of the network learning unit.
According to the above main structural features, the warning signal and the health improvement prevention performance data provide caregivers and caregivers via the display interface or/and the newsletter of the network learning unit.
Compared with the prior art, the present invention has the following advantages:
1. In addition to the physiological data uploaded or input by the caregiver or caregiver, the daily diet project achievement data and the daily exercise project data, it can also be used to connect the caregiver in the server of the hospital, clinic and other medical institutions. The medical records are used to make the integrated health information more adequate, which helps the caregivers and caregivers to fully grasp the health status of the caregivers.
2. It is able to integrate the diseased person's disease, manage it and inquire, and also assess the uninfected disease that the caregiver may have in the future and prevent it.
3. A treatment-improvement plan or prevention plan based on the diseased and non-occurring diseases of the caregiver can be used to treat the disease that has occurred and to reduce the incidence of non-occurring diseases.
4. When the physiological measurement data of the care recipient is abnormal, immediately arrange for medical treatment to the medical institution to avoid delaying the condition of the disease.
5. When the caregiver fails to measure according to the measurement frequency, immediately notify the caregiver to measure according to the measurement frequency, and notify the caregiver to perform processing and subsequent tracking action.
However, in order to clearly and fully disclose the present invention, the preferred embodiments are illustrated, and the detailed description of the embodiments will be described as follows:
1．．．雲端資料庫單元1. . . Cloud database unit
11．．．資料輸入雲端介面11. . . Data input cloud interface
12．．．健康資料庫12. . . Health database
2．．．健康分析單元2. . . Health analysis unit
21．．．整合病歷處理模組twenty one. . . Integrated medical record processing module
22．．．風險評估處理模組twenty two. . . Risk assessment processing module
3．．．健康管理單元3. . . Health management unit
31．．．飲食管理模組31. . . Diet management module
32．．．運動管理模組32. . . Motion management module
33．．．營養管理模組33. . . Nutrition management module
34．．．行事曆處理模組34. . . Calendar processing module
35．．．計畫追蹤管制模組35. . . Project tracking control module
36．．．績效管理模組36. . . Performance management module
4．．．網路學習單元4. . . Network learning unit
41．．．顯示介面41. . . Display interface
5．．．轉介單元5. . . Referral unit
6．．．生理檢測器6. . . Physiological detector
7．．．醫療機構7. . . Medical institutions
71．．．伺服器71. . . server
81．．．健康81. . . health
82．．．亞健康82. . . Subhealth
83．．．不健康83. . . Unhealthy
901．．．生理資料901. . . Physiological data
902．．．病歷資料902. . . Medical record information
903．．．身份資料903. . . Identity data
904．．．日常飲食項目達成數據904. . . Daily diet project data
905．．．日常運動項目達成數據905. . . Daily sports project data
911．．．可能罹患之未發生疾病資料911. . . Unexpected disease data
912．．．健康改善預防計畫資料912. . . Health improvement prevention plan data
912a．．．飲食項目建議912a. . . Dietary proposal
912b．．．運動項目建議912b. . . Sports proposal
912c．．．生活型態建議912c. . . Life style advice
912d．．．健康改善預防績效數據912d. . . Health improvement prevention performance data
913．．．醫療機構資料913. . . Medical institution information
914．．．統計圖表914. . . statistic chart
915．．．風險評估數值915. . . Risk assessment value
916．．．營養素數據資料916. . . Nutrient data
917．．．熱量數據資料917. . . Thermal data
918．．．行事曆918. . . Calendar
919．．．警示信號919. . . Warning signal
921．．．健康標準資料921. . . Health standard data
922．．．健康改善預防計畫比對表資料922. . . Health improvement prevention plan comparison table data
923．．．風險評估參數923. . . Risk assessment parameter
圖1是本發明較佳實施例的功能方塊圖；
圖2是圖1中雲端資料庫單元之功能方塊圖；
圖3是圖1中健康分析單元之功能方塊圖；
圖4是圖1中健康管理單元之功能方塊圖；
圖5是圖1中網路學習單元之功能方塊圖；
圖6是圖1中轉介單元之功能方塊圖。Figure 1 is a functional block diagram of a preferred embodiment of the present invention;
2 is a functional block diagram of the cloud database unit of FIG. 1;
Figure 3 is a functional block diagram of the health analysis unit of Figure 1;
Figure 4 is a functional block diagram of the health management unit of Figure 1;
Figure 5 is a functional block diagram of the network learning unit of Figure 1;
Figure 6 is a functional block diagram of the referral unit of Figure 1.
請參閱圖1所示，揭示出本發明較佳實施例的功能方塊圖，並配合圖2至圖6說明本發明之健康分析管理系統，包含一雲端資料庫單元1、一健康分析單元2、一健康管理單元3、一網路學習單元4及一轉介單元5，其中：
該雲端資料庫單元1可接受輸入被照護者之一生理資料901與一病歷資料902，該生理資料901為目前的健康資料，該病歷資料902為過去的健康資料，該生理資料901可為目前之血壓、血糖、體重、膽固醇、胃食道逆流指數或體適能指數等資料數據，該病歷資料902可為過去之血壓、血糖、體重、膽固醇、胃食道逆流指數或體適能指數等資料數據。
該健康分析單元2電性連接雲端資料庫單元1，該健康分析單元2預設有一健康標準資料921及一風險評估參數923，且健康分析單元2依據所述健康標準資料921與風險評估參數923比對所述生理資料901及病歷資料902，而判斷被照護者之身體狀況為未生病之健康81、生理異常之亞健康82或已生病之不健康83，並對亞健康82之被照護者預測出一可能罹患之未發生疾病資料911，該健康分析單元2可對被照護者之身體狀況進行趨勢分析、異常警示、介入與追蹤。該病歷資料902包含有被照護者過去所有健康81、亞健康82與不健康83的資料數據。
該健康管理單元3電性連接所述雲端資料庫單元1與健康分析單元2，該健康管理單元3預設有一健康改善預防計畫比對表資料922，該健康改善預防計畫比對表資料922記錄有複數筆包含飲食項目建議、運動項目建議及生活型態建議之健康改善預防計畫。
該健康管理單元3於健康分析單元2判斷被照護者之身體狀況為健康81時，持續追蹤、讀取被照護者之所述生理資料901及病歷資料902，該健康管理單元3並於健康分析單元2判斷被照護者之身體狀況為亞健康82時，依據健康改善預防計畫比對表資料922比對所述生理資料901、病歷資料902及可能罹患之未發生疾病資料911，而估測出一包含飲食項目建議、運動項目建議及生活型態建議之健康改善預防計畫資料912。
該網路學習單元4電性連接健康管理單元3，且網路學習單元4具有一顯示介面41，該顯示介面41能夠以顯示燈號的方式提示被照護者之身體狀況，舉如健康81為綠燈、亞健康82為黃燈、不健康83為紅燈，且網路學習單元4能夠接收所述可能罹患之未發生疾病資料911及健康改善預防計畫資料912，並經由顯示介面41顯示所述可能罹患之未發生疾病資料911及健康改善預防計畫資料912，用以教示被照護者經由網路自主學習如何透過飲食、體適能、生活習慣改善人體健康，並預防疾病發生。
同時，讓照護者透過顯示介面41瞭解被照護者的所述可能罹患之未發生疾病資料911及健康改善預防計畫資料912，令照護者可依據可能罹患之未發生疾病資料911即時介入被照護者的日常生活，並協助、督促被照護者實施健康改善預防計畫資料912。
該轉介單元5電性連接所述健康分析單元2、健康管理單元3與網路學習單元4，並外接外界醫院、診所、長期照顧機構等醫療機構7的伺服器71，該轉介單元5於健康分析單元2判斷被照護者之身體狀況為不健康83時，經由網路學習單元4之顯示介面41顯示一醫療機構資料913，用以提示被照護者立即就醫。
該顯示介面41實際上可為網路學習單元4提供之網路頁面，被照護者與照護者均可利用家中電腦或公共場所之電腦連線至顯示介面41。
如此，該健康管理單元3可對健康81之被照護者進行異常介入與追蹤，並對亞健康82之被照護者進行個人身體健康管理、報告與建議，同時對不健康83之被照護者進行醫療機構7之轉介。
在更加具體的實施上，本發明也包含：
實施上，該雲端資料庫單元1包含一資料輸入雲端介面11及一健康資料庫12，該資料輸入雲端介面11可接受照護者、被照護者或醫療機構7輸入所述生理資料901與病歷資料902，該健康資料庫12能夠儲存被照護者之一身份資料903、以及被照護者之所述生理資料901與病歷資料902。
該資料輸入雲端介面11實際上可為雲端資料庫單元1提供之網路頁面，被照護者與照護者可利用家中電腦或公共場所之電腦連線至資料輸入雲端介面11，該醫療機構7亦可利用醫療機構之電腦連線至資料輸入雲端介面11。
實施上，該資料輸入雲端介面11對外連接醫療機構7之伺服器71，且資料輸入雲端介面11可接收醫療機構7之伺服器71中屬於該被照護者的病歷資料902，並儲存至健康資料庫12中以更新該病歷資料902。
實施上，該資料輸入雲端介面11可接收該被照護者通過一生理檢測器6量測並上傳的生理資料901，並儲存至健康資料庫12中以更新該生理資料901，該生理檢測器6可為血壓機、血糖機、胃食道逆流量表或體適能量表；或者，該資料輸入雲端介面11還可以接收照護者或被照護者自行輸入的生理資料901，並儲存至健康資料庫12中以更新該生理資料901。
實施上，該健康分析單元2包含一整合病歷處理模組21及一風險評估處理模組22，該整合病歷處理模組21讀取所述被照護者的病歷資料902，藉以對被照護者的已發生疾病進行整合而成一可供查詢之統計圖表914，該風險評估處理模組22可讀取所述被照護者的生理資料901，並將該生理資料901套入風險評估參數923後，計算出一風險評估數值915，藉以由該風險評估處理模組22預測被照護者之所述可能罹患之未發生疾病資料911，該風險評估處理模組22可經由網路學習單元4之顯示介面41顯示風險評估數值915，提供被照護者與照護者查詢，亦可經由顯示介面41提供風險評估數值915給企業主與企業人資單位主管查詢，據以評估可能發生之勞安成本。
該風險評估參數923之條件範圍的詳細內容列舉如以下(表一)所示：
Referring to FIG. 1 , a functional block diagram of a preferred embodiment of the present invention is disclosed, and the health analysis management system of the present invention is described with reference to FIG. 2 to FIG. 6 , which includes a cloud database unit 1 and a health analysis unit 2 . A health management unit 3, a network learning unit 4 and a referral unit 5, wherein:
The cloud database unit 1 can input the physiological data 901 and the medical record data 902 of the care recipient, the physiological data 901 is the current health data, and the medical record data 902 is the past health data, and the physiological data 901 can be the current Blood pressure, blood sugar, body weight, cholesterol, gastroesophageal reflux index or fitness index, etc., the medical record data 902 can be past blood pressure, blood sugar, body weight, cholesterol, gastroesophageal reflux index or fitness index and other data .
The health analysis unit 2 is electrically connected to the cloud database unit 1. The health analysis unit 2 presets a health standard data 921 and a risk assessment parameter 923, and the health analysis unit 2 is based on the health standard data 921 and the risk evaluation parameter 923. Comparing the physiological data 901 and the medical record data 902, and determining whether the physical condition of the care recipient is unhealthy health 81, physiological abnormal sub-health 82 or sick unhealthy 83, and predicting the sub-health 82 caregivers The health analysis unit 2 can perform trend analysis, abnormal warning, intervention, and tracking on the physical condition of the care recipient. The medical record data 902 contains data of all past health 81, sub-health 82, and unhealthy 83 of the caregiver.
The health management unit 3 is electrically connected to the cloud database unit 1 and the health analysis unit 2, and the health management unit 3 presets a health improvement prevention plan comparison table data 922, and the health improvement prevention plan comparison table data 922 records a health improvement prevention program that includes a number of dietary recommendations, exercise recommendations, and lifestyle recommendations.
When the health analysis unit 2 determines that the physical condition of the care recipient is healthy 81, the health management unit 3 continuously tracks and reads the physiological data 901 and the medical record data 902 of the care recipient, and the health management unit 3 performs health analysis. When the unit 2 determines that the physical condition of the care recipient is sub-health 82, the health improvement prevention plan comparison table data 922 is compared with the physiological data 901, the medical record data 902, and the disease data 911 that may be affected. A health improvement prevention program 912 containing dietary recommendations, exercise recommendations, and lifestyle recommendations.
The network learning unit 4 is electrically connected to the health management unit 3, and the network learning unit 4 has a display interface 41. The display interface 41 can indicate the physical condition of the cared person by displaying the light number, for example, the health 81 is The green light, the sub-health 82 is a yellow light, and the unhealthy 83 is a red light, and the network learning unit 4 can receive the unaffected disease data 911 and the health improvement prevention plan data 912, and display the same through the display interface 41. Unexpected disease data 911 and health improvement prevention plan 912 may be used to teach caregivers to learn how to improve their health and prevent disease through diet, fitness, and living habits.
At the same time, the caregiver can understand the unaffected disease data 911 and the health improvement prevention plan data 912 of the caregiver through the display interface 41, so that the caregiver can immediately intervene in the care according to the unoccupied disease data 911 that may be affected. The daily life of the person, and assist and urge the caregivers to implement the health improvement prevention plan data 912.
The referral unit 5 is electrically connected to the health analysis unit 2, the health management unit 3 and the network learning unit 4, and externally connects to the server 71 of the medical institution 7, such as an external hospital, a clinic, a long-term care institution, etc., the referral unit 5 When the health analysis unit 2 determines that the physical condition of the care recipient is unhealthy 83, a medical institution information 913 is displayed via the display interface 41 of the network learning unit 4 to prompt the caretaker to seek medical attention immediately.
The display interface 41 can actually provide a web page for the network learning unit 4, and both the caregiver and the caregiver can connect to the display interface 41 using a computer at home or a computer in a public place.
In this way, the health management unit 3 can perform abnormal intervention and tracking on the caregivers of the health 81, and perform personal physical health management, reporting, and advice to the caregivers of the sub-health 82, and perform medical treatment on the unhealthy 83 caregivers. Referral of institution 7.
In a more specific implementation, the invention also includes:
In practice, the cloud database unit 1 includes a data input cloud interface 11 and a health database 12, and the data input cloud interface 11 can receive the physiological data 901 and medical record data by the caregiver, the caregiver or the medical institution 7. 902. The health database 12 is capable of storing one of the caregiver identity data 903, and the physiological data 901 and the medical record data 902 of the care recipient.
The data input cloud interface 11 can actually provide the web page provided by the cloud database unit 1. The caregiver and the caregiver can use the computer in the home computer or the public place to connect to the data input cloud interface 11, and the medical institution 7 also You can use the computer of the medical institution to connect to the data input cloud interface 11.
In practice, the data input cloud interface 11 is externally connected to the server 71 of the medical institution 7, and the data input cloud interface 11 can receive the medical record information 902 belonging to the caregiver in the server 71 of the medical institution 7 and store it to the health information. The library 12 is updated to update the medical record data 902.
In practice, the data input cloud interface 11 can receive the physiological data 901 measured and uploaded by the caregiver through a physiological detector 6, and stored in the health database 12 to update the physiological data 901, the physiological detector 6 The blood pressure machine, the blood glucose machine, the gastroesophageal counterflow meter or the fitness energy meter; or the data input cloud interface 11 can also receive the physiological data 901 input by the caregiver or the caregiver and store it in the health database 12 In order to update the physiological data 901.
In practice, the health analysis unit 2 includes an integrated medical record processing module 21 and a risk assessment processing module 22, and the integrated medical record processing module 21 reads the medical record data 902 of the care recipient, thereby being used by the care recipient. The disease has been integrated into a queryable statistical chart 914. The risk assessment processing module 22 can read the physiological data 901 of the care recipient, and insert the physiological data 901 into the risk assessment parameter 923 to calculate A risk assessment value 915 is generated, whereby the risk assessment processing module 22 predicts the unaffected disease data 911 of the caregiver, and the risk assessment processing module 22 can display the interface 41 via the network learning unit 4 The risk assessment value 915 is displayed, and the caregiver and the caregiver are provided for inquiry. The risk assessment value 915 can also be provided via the display interface 41 to the business owner and the enterprise personnel unit to inquire about the possible labor cost.
The details of the condition range of the risk assessment parameter 923 are listed below (Table 1):
(表一)
實施上，該健康管理單元3包含一飲食管理模組31、一運動管理模組32、以及一營養管理模組33，該飲食管理模組31經由雲端資料庫單元1之資料輸入雲端介面11接收並記錄被照護者的一日常飲食項目達成數據904，據以計算被照護者日常攝取的一營養素數據資料916，該運動管理模組32經由雲端資料庫單元1之資料輸入雲端介面11接收並記錄被照護者的一日常運動項目達成數據905，據以計算被照護者日常消耗的一熱量數據資料917，該健康管理單元3讀取所述營養素數據資料916與熱量數據資料917，而經由一行動健康管理師調整該營養管理模組33產生該健康改善預防計畫資料912。
實施上，該健康管理單元3包含一行事曆處理模組34，該行事曆處理模組34接受營養管理模組33控制而經由網路學習單元4之顯示介面41顯示一實施該健康改善預防計畫資料912之行事曆918，並於行事曆918上設定起始時間與每日之飲食項目建議912a、運動項目建議912b及生活型態建議912c，所述飲食管理模組31、運動管理模組32經由雲端資料庫單元1之資料輸入雲端介面11對行事曆918輸入被照護者之日常飲食項目達成數據904及日常運動項目達成數據905，用以自該起始時間起產生一定週期的治療改善計畫或預防計畫，並依照日期順序顯示於該行事曆918上。
實施上，該健康管理單元3包含一計畫追蹤管制模組35，該計畫追蹤管制模組35可依據行事曆918之日期檢查所述輸入行事曆918之被照護者之日常飲食項目達成數據904及日常運動項目達成數據905，而判斷被照護者是否按照該行事曆918之日期實施該健康改善預防計畫資料912之飲食項目建議912a及運動項目建議912b，並按照行事曆918之日期上傳日常飲食項目達成數據904及日常運動項目達成數據905，且計畫追蹤管制模組35於被照護者未按照行事曆918之日期上傳日常飲食項目達成數據904及日常運動項目達成數據905時產生一警示信號919，並經由網路學習單元4之顯示介面41或/及簡訊顯示警示信號919。
實施上，該健康管理單元3包含一績效管理模組36，該績效管理模組36經由計畫追蹤管制模組35監控行事曆918之被照護者之日常飲食項目達成數據904及日常運動項目達成數據905的輸入情況，用以管理被照護者實施健康改善預防計畫資料912之一健康改善預防績效數據912d，並經由網路學習單元4之顯示介面41或/及簡訊顯示健康改善預防績效數據912d。
實施上，所述警示信號919及健康改善預防績效數據912d經由網路學習單元4之顯示介面41或/及簡訊提供照護者與被照護者。
藉由上述，本發明除了可接受照護者或被照護者自行經由該雲端資料庫單元1之資料輸入雲端介面11上傳或輸入之生理資料901、日常飲食項目達成數據904及日常運動項目達成數據905外，還能介接醫院、診所等醫療機構7之伺服器71中被照護者的病歷資料902，藉以令整合之健康資料更為充足，有利於照護者與被照護者充分掌握被照護者之健康狀況。
一般使用時，該健康分析單元2之整合病歷處理模組21可整合被照護者的已發生疾病，藉以經由網路學習單元4之顯示介面41進行管理及查詢，並且還能經由該健康分析單元2之風險評估處理模組22評估被照護者的未來可能罹患的未發生疾病，並加以預防。
值得一提的是，該健康管理單元3之營養管理模組33可依據被照護者的已發生疾病及未發生疾病訂定專屬的治療改善計畫或預防計畫，藉以治療已發生疾病，並降低未發生疾病的發生機率。
此外，當被照護者的生理量測數據異常時，該轉介單元5可立即經由網路學習單元4之顯示介面41對被照護者顯示醫療機構資料913，而安排被照護者至醫療機構7就醫，藉以避免延誤病情的狀況。
另外，該健康管理單元3之計畫追蹤管制模組35可於被照護者未按照量行事曆918之測頻率進行量測時，立即經由網路學習單元4之顯示介面41或/及簡訊顯示警示信號919，以通知被照護者按照行事曆918之量測頻率進行量測，並通知照護者進行處理及後續的追蹤動作。
據此，本發明可經由雲端資料庫單元1進行開放式資料輸入，並採用健康分析單元2進行病況篩選及風險評估，且健康管理單元3經由網路學習單元4提供客製化之健康改善與預防處方、建議，具有健康追蹤、健康促進與維護、就醫協助與後續照護、以及自主學習的功效，藉以達到上述經由網路自主學習如何改善人體健康並預防疾病發生之目的。
綜上所陳，僅為本發明之較佳實施例而已，並非用以限定本發明；凡其他未脫離本發明所揭示之精神下而完成的等效修飾或置換，均應包含於後述申請專利範圍內。(Table I)
In practice, the health management unit 3 includes a food management module 31, a motion management module 32, and a nutrition management module 33. The food management module 31 receives the data input through the cloud interface unit 1 through the cloud interface 11 And recording a daily diet item achievement data 904 of the caregiver to calculate a nutrient data 916 that is taken by the caregiver daily, and the motion management module 32 receives and records via the data input cloud interface 11 of the cloud database unit 1. A daily exercise item of the care recipient reaches data 905 for calculating a calorie data 917 that is consumed by the caregiver daily, and the health management unit 3 reads the nutrient data 916 and the calorie data 917 via an action The health manager adjusts the nutrition management module 33 to generate the health improvement prevention plan data 912.
In practice, the health management unit 3 includes a calendar processing module 34. The calendar processing module 34 is controlled by the nutrition management module 33 to display the health improvement preventive meter via the display interface 41 of the network learning unit 4. Drawing a calendar 918, and setting a start time and daily diet item recommendation 912a, a sports item suggestion 912b, and a lifestyle recommendation 912c on the calendar 918, the diet management module 31, the motion management module 32, via the data input cloud interface 11 of the cloud database unit 1, the calendar 918 inputs the caregiver's daily diet item achievement data 904 and daily exercise item achievement data 905 for generating a certain period of treatment improvement from the start time. A plan or prevention plan is displayed on the calendar 918 in date order.
In practice, the health management unit 3 includes a plan tracking control module 35. The plan tracking control module 35 can check the daily diet items of the caretaker of the input calendar 918 according to the date of the calendar 918. 904 and the daily exercise program reach the data 905, and determine whether the caregiver implements the health improvement prevention plan 912 food item proposal 912a and the sport item recommendation 912b according to the date of the calendar 918, and uploads according to the date of the calendar 918. The daily diet item achievement data 904 and the daily exercise item achievement data 905, and the plan tracking control module 35 generates a data when the caregiver fails to upload the daily eating item achievement data 904 and the daily exercise item achievement data 905 according to the date of the calendar 918. The signal 919 is alerted and the alert signal 919 is displayed via the display interface 41 or/and the short message of the network learning unit 4.
In practice, the health management unit 3 includes a performance management module 36. The performance management module 36 monitors the daily diet item achievement data 904 of the caretaker of the calendar 918 via the plan tracking control module 35 and the daily exercise achievement. The input of the data 905 is used to manage the health improvement prevention performance data 912d of the health improvement prevention plan data 912 of the care recipient, and the health improvement prevention performance data is displayed via the display interface 41 of the network learning unit 4 or/and the newsletter. 912d.
In practice, the warning signal 919 and the health improvement prevention performance data 912d provide caregivers and caregivers via the display interface 41 or/and the newsletter of the network learning unit 4.
By the above, the present invention not only accepts the physiological data 901 uploaded or input by the caregiver or the caregiver via the data input unit 11 of the cloud database unit 1, the daily diet item achievement data 904, and the daily exercise project achievement data 905. In addition, the medical record information 902 of the caregiver in the server 71 of the medical institution 7 such as a hospital or a clinic can be interfaced, so that the integrated health information is more sufficient, and the caregiver and the caregiver can fully grasp the caregiver's Health status.
In general use, the integrated medical record processing module 21 of the health analysis unit 2 can integrate the diseased person's disease, thereby managing and querying through the display interface 41 of the network learning unit 4, and can also pass the health analysis unit. The risk assessment processing module 22 of 2 evaluates and prevents the uninfected disease that the caregiver may suffer in the future.
It is worth mentioning that the nutrition management module 33 of the health management unit 3 can formulate a treatment improvement plan or a prevention plan according to the diseased person and the disease-free disease of the caregiver, thereby treating the disease that has occurred, and Reduce the incidence of no disease.
In addition, when the physiological measurement data of the care recipient is abnormal, the referral unit 5 can immediately display the medical institution information 913 to the care recipient via the display interface 41 of the network learning unit 4, and arrange the caregiver to the medical institution 7 Seek medical attention to avoid delays in the condition of the disease.
In addition, the plan tracking control module 35 of the health management unit 3 can immediately display through the display interface 41 or/and the short message of the network learning unit 4 when the caregiver does not measure according to the measurement frequency of the volume calendar 918. The warning signal 919 is used to notify the care recipient to measure according to the measurement frequency of the calendar 918, and notify the caregiver to perform processing and subsequent tracking actions.
Accordingly, the present invention can perform open data input via the cloud database unit 1 and use the health analysis unit 2 for disease screening and risk assessment, and the health management unit 3 provides customized health improvement through the network learning unit 4. Prevention of prescriptions, recommendations, health tracking, health promotion and maintenance, medical assistance and follow-up care, and self-learning, in order to achieve the above-mentioned self-learning through the Internet to improve human health and prevent disease.
The invention is not intended to limit the invention, and other equivalent modifications or substitutions that are not departing from the spirit of the invention are intended to be included in the appended claims. Within the scope.
1．．．雲端資料庫單元1. . . Cloud database unit
2．．．健康分析單元2. . . Health analysis unit
3．．．健康管理單元3. . . Health management unit
4．．．網路學習單元4. . . Network learning unit
41．．．顯示介面41. . . Display interface
5．．．轉介單元5. . . Referral unit
6．．．生理檢測器6. . . Physiological detector
7．．．醫療機構7. . . Medical institutions
71．．．伺服器71. . . server
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| CN110033865A (en) * | 2018-01-11 | 2019-07-19 | 宏祥健康事业股份有限公司 | Health promotion system and method based on movement medical treatment |
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| TWI661384B (en) * | 2015-02-06 | 2019-06-01 | 信立達科技有限公司 | Physiological monitoring feedback system and operating method thereof |
| TWI640953B (en) * | 2016-03-30 | 2018-11-11 | 國立臺灣師範大學 | Cloud recommendation method, computer program product and system for nutrient dosage |
| TWI613613B (en) * | 2016-12-06 | 2018-02-01 | Medical system with feedback learning | |
| CN109671482A (en) * | 2017-10-13 | 2019-04-23 | 程景丽 | A kind of health control method and system |
| CN109712682A (en) * | 2017-10-25 | 2019-05-03 | 张秉庠 | In conjunction with the healthy autonomous management system of Internet of Things |
| JP6957324B2 (en) * | 2017-11-30 | 2021-11-02 | オムロンヘルスケア株式会社 | Health management support equipment, methods and programs |
| CN109887568B (en) * | 2019-03-02 | 2023-05-26 | 深圳市宝安区福永人民医院 | Health management system based on doctor's advice |
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| TW201020960A (en) * | 2008-11-26 | 2010-06-01 | Ind Tech Res Inst | Computer controlling method for self-health management and computer system for result self-health management information |
| TW201237660A (en) * | 2011-03-15 | 2012-09-16 | Qisda Corp | Healthcare device and system |
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| TW200941389A (en) * | 2008-03-20 | 2009-10-01 | Sheng Tong Technology Co Ltd | Remote health and medical treatment management system |
| TW201020960A (en) * | 2008-11-26 | 2010-06-01 | Ind Tech Res Inst | Computer controlling method for self-health management and computer system for result self-health management information |
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