TW202238620A - Self-physiological information index system applied to clinical health management and its analysis method having the self-data module including the basic value, evaluation value, and early warning report signal - Google Patents

Self-physiological information index system applied to clinical health management and its analysis method having the self-data module including the basic value, evaluation value, and early warning report signal Download PDF

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TW202238620A
TW202238620A TW110109923A TW110109923A TW202238620A TW 202238620 A TW202238620 A TW 202238620A TW 110109923 A TW110109923 A TW 110109923A TW 110109923 A TW110109923 A TW 110109923A TW 202238620 A TW202238620 A TW 202238620A
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physiological information
self
value
health management
user
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褚柏顯
賴朝松
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長庚大學
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Abstract

The present invention provides a self-physiological information index system applied to clinical health management and its analysis method. The user equipment is used to obtain the user's physiological information. The physiological information can be stored in the server equipment. The server equipment establishes a self-data module, the self-data module includes the basic value, evaluation value, and early warning report signal. The basic value is an average value of at least three pieces of physiological information compared and combined with the results of the doctor's diagnosis. The evaluation value is the newly measured physiological information. If the evaluation value deviates from the predetermined value of the basic value, the warning notification will be sent to the user's equipment or the medical terminal through the early warning report signal, and the above system can be used to correct the frequency of monitoring or the amount of medication.

Description

一種應用於臨床健康管理的自我生理資訊指標系統以及其分析方法 A self-physiological information index system applied to clinical health management and its analysis method

本發明為一種自我生理資訊指標系統以及其分析方法,尤指一種應用於臨床健康管理的自我生理資訊指標系統及其分析方法。 The present invention is a self-physiological information index system and its analysis method, especially a self-physiological information index system and its analysis method applied to clinical health management.

一般來說,只有出現不舒服的時候民眾才會前往醫院或診所看診,較輕微的病症係由醫師現場的觀察及問診,較嚴重的病症則透過儀器檢測出生理數值再由醫師評估狀況,而由儀器檢測出來的生理數值也是與公定值比較,例如一般測量血壓標準為收縮壓小於120mmHg及舒張壓小於80mmHg,若收縮壓介於120~139mmHg或舒張壓介於80~89mmHg均為需要警戒的範圍,然而每個個體均存在差異,使用公定值做為比較標準可能輕忽病情或造成誤判。 Generally speaking, people will only go to the hospital or clinic for treatment when they feel uncomfortable. The milder illnesses are observed and consulted by doctors on the spot, and the more serious illnesses are detected by the physiological value of the equipment and then evaluated by the doctor. The physiological value detected by the instrument is also compared with the public value. For example, the general blood pressure measurement standard is that the systolic blood pressure is less than 120mmHg and the diastolic blood pressure is less than 80mmHg. However, there are differences in each individual, and using the public value as a comparison standard may overlook the disease or cause misjudgment.

又或者,某些病症係需要長期追蹤或者有立即性的危險,舉例來說,憂鬱症或恐慌症均為需要長期追蹤治療的疾病,病患的心理狀態隨時間、氣候、情境不同而產生不同的狀況,又或者高血壓所引發的立即性心臟衰竭的病況,僅在看診時由醫師以當時所量測的生理資訊數據評估病情,實難完全掌握病患的病情,也無法預防病情惡化。 Or, certain diseases require long-term follow-up or have immediate dangers. For example, depression or panic disorder are diseases that require long-term follow-up treatment. The mental state of patients varies with time, climate, and situations. The condition of the patient, or the condition of immediate heart failure caused by high blood pressure, it is difficult to fully grasp the patient's condition, and it is impossible to prevent the deterioration of the condition. .

再舉一例子,若病患心臟瓣膜開完刀,尤其是金屬瓣膜置換,心臟的聲音,甚至於超音波上測量的流速,都與一般的正常人不同,若使用公定值作為測量標準是不具意義的。 To give another example, if a patient's heart valve has undergone surgery, especially a metal valve replacement, the sound of the heart, and even the flow rate measured on ultrasound, are different from those of normal people. If the public value is used as the measurement standard meaningless.

是以,針對上述所存在的問題點,如何開發一種更具理想實用性之創新系統,實為消費者所殷切企盼,亦係相關業者須努力研發突破之目標及方向。 Therefore, in view of the above-mentioned problems, how to develop a more ideal and practical innovative system is what consumers are eagerly looking forward to, and it is also the goal and direction that related companies must work hard to develop breakthroughs.

本發明為一種應用於臨床健康管理的自我生理資訊指標系統,包括一使用者設備、一伺服器設備及一自我資料模組,該使用者設備係用於獲取使用者的至少三生理資訊,該伺服器設備係網路連結該使用者設備,並且儲存該等生理資訊,該自我資料模組建立於該伺服器設備,且該自我資料模組係透過該伺服器設備網路連結該使用者設備,該自我資料模組包括一基礎數值、複數評估數值及一預警回報訊號,該基礎數值為醫師診斷現況結果比對結合至少三該等生理資訊的平均值,各該評估數值為新測量的各該生理資訊,若各該評估數值偏離該基礎數值的預定數值,即會透過該預警回報訊號傳送警示通知至一醫護端或者該使用者設備。 The present invention is a self-physiological information index system applied to clinical health management, including a user device, a server device and a self-data module, the user device is used to obtain at least three physiological information of the user, the The server device is connected to the user device through the network and stores the physiological information, the self-data module is established on the server device, and the self-data module is connected to the user device through the server device network , the self-data module includes a basic value, multiple evaluation values and an early warning report signal, the basic value is the average value of at least three such physiological information combined with the results of the doctor's diagnosis status, each of the evaluation values is each newly measured For the physiological information, if each of the evaluation values deviates from the predetermined value of the base value, a warning notification will be sent to a medical terminal or the user equipment through the warning report signal.

本發明另一揭露一種應用於臨床健康管理的自我生理資訊之分析方法,步驟如下: Another disclosure of the present invention is an analysis method of self-physiological information applied to clinical health management, the steps are as follows:

步驟一:定時獲取使用者的複數生理資訊並上傳至雲端。 Step 1: Obtain the user's multiple physiological information regularly and upload it to the cloud.

步驟二:將醫師診斷現況結果與上傳至雲端的至少三個該等生理資訊的平均值結合後作為比對的一基礎數值。 Step 2: Combining the results of the doctor's current diagnosis and the average value of at least three such physiological information uploaded to the cloud as a basic value for comparison.

步驟三:不斷將新測量的該等生理資訊作為複數評估數值,各該評估數值係用以比對該基礎數值。 Step 3: Continuously use the newly measured physiological information as plural evaluation values, and each evaluation value is used to compare with the base value.

步驟四:各該評估數值偏離該基礎數值的預定數值即會發出警示通知至一醫護端或者一使用者設備,用以修正監測頻率或給藥劑量調 整。 Step 4: When each estimated value deviates from the predetermined value of the base value, a warning notification will be sent to a medical terminal or a user device to modify the monitoring frequency or dose adjustment. all.

藉由上述系統及方法,能透過平日的監測該等生理資訊,可獲得充分數據做為判斷,並能即時掌握使用者生理狀態的變化,以利危險警示或評估使用者狀態,進而調整監視頻率或給藥劑量,且亦能補強大數據作為公定值的缺口,具有個別的警示意義。 With the above-mentioned system and method, through daily monitoring of the physiological information, sufficient data can be obtained for judgment, and the changes in the user's physiological state can be grasped in real time, so as to facilitate danger warning or evaluate the user's state, and then adjust the monitoring frequency Or dosage, and can also make up for the gap of large data as a public value, which has individual warning significance.

S1:步驟一 S1: Step 1

S2:步驟二 S2: Step 2

S3:步驟三 S3: Step three

S4:步驟四 S4: Step four

10:使用者設備 10: User equipment

11:醫護端 11: Medical end

20:生理資訊 20: Physiological information

30:伺服器設備 30: Server equipment

40:自我資料模組 40: Self Profile Module

42:基礎數值 42: Basic value

44:評估數值 44: Evaluation value

46:預警回報訊號 46: Warning and return signal

〔圖1〕為本發明系統的方塊結構圖。 [Fig. 1] is a block diagram of the system of the present invention.

〔圖2〕為本發明方法的步驟流程圖。 [Fig. 2] is a flowchart of the steps of the method of the present invention.

參閱圖1,本發明揭露一種應用於臨床健康管理的自我生理資訊指標系統,包括一使用者設備10、一伺服器設備30及一自我資料模組40,該使用者設備10係用於獲取使用者的至少三生理資訊20,該使用者設備10係指利用軟體、檢視硬體或穿戴式的檢測,以達到資料收集、上傳及分析,並可設定個人相關的提醒及監控,該伺服器設備30係網路連結該使用者設備10,並且儲存該等生理資訊20,該自我資料模組40建立於該伺服器設備30,該自我資料模組40係透過該伺服器設備30網路連結該使用者設備10,該自我資料模組40包括一基礎數值42、複數評估數值44及一預警回報訊號46,該基礎數值42為醫師診斷現況結果比對結合至少三該等生理資訊20的平均值,各該評估數值44為新測量的各該生理資訊20,若各該評估數值44偏離該基礎數值42的正負值5%以上,即會透過該預警回報訊號46傳送警示通知至該使用者設備10或者一醫護端11。 Referring to Fig. 1, the present invention discloses a self-physiological information index system applied to clinical health management, including a user device 10, a server device 30 and a self-data module 40, the user device 10 is used to obtain and use The user's at least three physiological information 20, the user equipment 10 refers to the use of software, inspection hardware or wearable detection to achieve data collection, upload and analysis, and can set personal reminders and monitoring, the server equipment 30 is connected to the user equipment 10 through the network, and stores the physiological information 20, the self-data module 40 is established on the server device 30, and the self-data module 40 is connected to the server device 30 through the network. The user equipment 10, the self-data module 40 includes a basic value 42, a plurality of evaluation values 44 and an early warning report signal 46, the basic value 42 is the average value of at least three physiological information 20 combined with the results of the doctor's diagnosis status , each of the evaluation values 44 is the newly measured physiological information 20, if each of the evaluation values 44 deviates from the base value 42 by more than 5% plus or minus, a warning notification will be sent to the user device through the warning report signal 46 10 or a medical terminal 11.

上述該生理資訊20係為評估量表、生理訊號、病理資料或上述任意組合。 The aforementioned physiological information 20 is an assessment scale, physiological signal, pathological data or any combination of the above.

其中各該評估數值44依序連接成線段,且該等評估數值44的首端係連接該基礎數值42,透過將該基礎數值42以及該等評估數值44連接成一個線段,提供視覺化的圖像,使得較容易判斷數值變化。 Each of the evaluation values 44 is sequentially connected into a line segment, and the head end of the evaluation values 44 is connected to the base value 42. By connecting the base value 42 and the evaluation values 44 into a line segment, a visual diagram is provided. image, making it easier to judge numerical changes.

其中上述正負值5%的計算為該評估數值44減去該基礎數值42後,再除以該基礎數值42,接著乘上100%即可得知。 The above plus or minus 5% is calculated by subtracting the base value 42 from the evaluation value 44, dividing by the base value 42, and then multiplying by 100%.

參閱圖2並搭配圖1,本發明另揭露一種應用於臨床健康管理的自我生理資訊之分析方法,步驟如下: Referring to Figure 2 together with Figure 1, the present invention also discloses a method for analyzing self-physiological information applied to clinical health management, the steps are as follows:

步驟一S1:定時獲取使用者的複數生理資訊20並上傳至雲端。 Step 1 S1: Obtain the multiple physiological information 20 of the user regularly and upload them to the cloud.

步驟二S2:將醫師診斷現況結果與上傳至雲端的至少三個該等生理資訊20的平均值結合後作為比對的一基礎數值42。 Step 2 S2: Combining the doctor's current diagnosis result with the average value of at least three physiological information 20 uploaded to the cloud as a basic value 42 for comparison.

步驟三S3:不斷將新測量的該等生理資訊20作為複數評估數值44,各該評估數值44係用以比對該基礎數值42。 Step 3 S3 : Continuously use the newly measured physiological information 20 as a plurality of evaluation values 44 , and each evaluation value 44 is used to compare with the base value 42 .

步驟四S4:各該評估數值44偏離該基礎數值42的正負值5%以上即會發出警示通知至一醫護端11或者一使用者設備10,藉此可用以修正監測頻率或給藥劑量調整,同時也可依此設定提早回診提示;舉例來說,監測頻率原本為平均一分鐘監測一次各該生理資訊20,若使用者狀態變好,則監測頻率可調整為平均每三分鐘監測一次各該生理資訊20,或者使用者狀態變差,則監測頻率可調整為平均每30秒監測一次各該生理資訊20。 Step 4 S4: when each evaluation value 44 deviates from the base value 42 by more than 5% plus or minus, a warning notification will be sent to a medical terminal 11 or a user device 10, so as to correct the monitoring frequency or adjust the dosage. At the same time, it is also possible to set reminders for early return visits based on this; for example, the monitoring frequency is originally to monitor the physiological information 20 once a minute on average. Physiological information 20, or the user's condition becomes worse, the monitoring frequency can be adjusted to monitor the physiological information 20 every 30 seconds on average.

再參閱圖2並搭配圖1,以憂鬱症患者為例,具有憂鬱症的使 用者可利用平日固定朗誦一頁聖經以及日常對話,透過該使用者設備10定時紀錄該等生理資訊20,並傳送至該伺服器設備30進行儲存及分析,該等生理資訊20可為表情、聲紋、聲調、講話速度、清晰度、語意、情感、字數、字句、行動或睡眠資訊,舉例來說,中風的使用者講話不清楚,有心臟衰竭的使用者講話會夾雜喘氣,此些均為語意的各該生理資訊20,使用者透過醫師診斷現況後,將上述診斷現況結合先前測試的至少三個該等生理資訊20作為該基礎數值42,接著持續測量各該生理資訊20做為各該評估數值44,若各該評估數值44偏離該基礎數值42的正負值5%以上,即會透過該預警回報訊號46傳送警示通知至該使用者設備10或者該醫護端11,以利修正憂鬱症的嚴重程度,若該等評估數值44增加或下降超出該基礎數值42的正負值5%以上則表示病情正朝著不好的方向發展,或該等評估數值44持續維持在該基礎數值42的正負值5%以內,則表示憂鬱症的使用者病情有得到很好的控制,藉此能達到提早示警醫師調整藥物劑量或治療方式,來確認之後的病情進步或退步,以降低使用者自殘情況發生。 Refer to Figure 2 again and match it with Figure 1, taking a patient with depression as an example, the user with depression The user can regularly recite a page of the Bible and daily conversations on weekdays, regularly record the physiological information 20 through the user device 10, and send it to the server device 30 for storage and analysis. The physiological information 20 can be facial expressions, Voiceprint, pitch, speech speed, clarity, semantics, emotion, word count, sentence, movement or sleep information, for example, users who have had a stroke may not speak clearly, users who have heart failure may speak with panting, etc. Each of the physiological information 20 is semantic. After the user diagnoses the current situation through a doctor, the user combines the above diagnostic situation with at least three of the previously tested physiological information 20 as the basic value 42, and then continuously measures each of the physiological information 20 as Each of the evaluation values 44, if each of the evaluation values 44 deviates from the plus or minus value of the base value 42 by more than 5%, a warning notification will be sent to the user device 10 or the medical terminal 11 through the warning report signal 46 to facilitate correction Severity of depression. If the evaluation value 44 increases or decreases by more than 5% of the base value 42, it means that the condition is developing in a bad direction, or the evaluation value 44 continues to maintain at the base value If the positive or negative value of 42 is within 5%, it means that the condition of the user with depression has been well controlled, so as to achieve an early warning to the doctor to adjust the drug dosage or treatment method, to confirm the progress or regression of the condition in the future, so as to reduce the depression rate of the user. Self-harm happens.

舉另一例子,繼續參閱圖2並搭配圖1,使用者可利用該使用者設備10紀錄平日心跳(例如速度或心律不整),透過將上述各該生理資訊20儲存至該伺服器設備30,將至少三個該等生理資訊20計算平均值以及結合醫師的診斷現況結果作為該基礎數值42,接著將新測量的各該生理資訊20作為各該評估數值44,若各該評估數值44偏離該基礎數值42的正負值5%以上,即會透過該預警回報訊號46傳送警示通知至該使用者設備10或者該醫護端11,藉此可分析了解心律是否跟著日夜或環境影響,以達到提早示警醫師並據此調整藥物劑量。 For another example, continue to refer to FIG. 2 together with FIG. 1 , the user can use the user device 10 to record daily heartbeats (such as speed or arrhythmia), and by storing the above-mentioned physiological information 20 in the server device 30, Calculate the average value of at least three of these physiological information 20 and combine the results of the doctor's diagnosis status as the basic value 42, and then use each of the newly measured physiological information 20 as each of the evaluation values 44, if each of the evaluation values 44 deviates from the If the plus or minus value of the basic value 42 is more than 5%, a warning notification will be sent to the user device 10 or the medical terminal 11 through the early warning report signal 46, so as to analyze whether the heart rhythm follows the day and night or the environment, so as to achieve early warning Physician adjusts drug dosage accordingly.

再舉一例子,參閱圖2並搭配圖1,一般正常的血紅素數值在13以上,但使用者如果連續幾年由15下降到14.5,再下降到14或13.5,這逐漸下降的血紅素雖然還未達貧血13以下的基準,仍有可能是慢性疾病的徵兆,甚至是癌症,使用者需提高警覺並去醫院檢驗找出原因,因此使用者可先將自身的血紅素數值上傳至雲端,並透過醫生診斷結合至少三個該血紅素數值平均值結合後做為比對的該基礎數值42,接著不斷將新測量的血紅素數值作為各該評估數值44與該基礎數值42進行比對,若新測量的血紅素數值偏離該基礎數值42的正負值5%以上,該預警回報訊號46即會發出警示通知至該使用者設備10或該醫護端11,以達到修正監測頻率或者給藥劑量調整;其他如血壓、體重、血糖等日常健康指標均可與使用者自身的該等生理資訊20做比較,這在初級預防上具有非常重要意義。 To give another example, refer to Figure 2 together with Figure 1. Generally, the normal hemoglobin value is above 13, but if the user drops from 15 to 14.5 for several years, and then drops to 14 or 13.5, although the gradually decreasing hemoglobin If the threshold of anemia is below 13, it may still be a sign of chronic diseases, even cancer. Users need to be alert and go to the hospital for examination to find out the reason. Therefore, users can first upload their hemoglobin value to the cloud. And combine at least three average values of the hemoglobin value through the doctor's diagnosis and combine as the basic value 42 for comparison, and then continuously compare the newly measured hemoglobin value as each evaluation value 44 with the basic value 42, If the newly measured hemoglobin value deviates from the base value 42 by more than 5%, the warning report signal 46 will send a warning notification to the user device 10 or the medical care terminal 11, so as to correct the monitoring frequency or administration dose Adjustment; other daily health indicators such as blood pressure, weight, blood sugar, etc. can be compared with the user's own physiological information 20, which is of great significance in primary prevention.

歸納上述說明,藉由本發明上述系統及方法,可有效克服習知發明所面臨的缺失,進一步具有上述眾多的優點及實用價值,因此本發明為一創意極佳之發明創作,且在相同的技術領域中未見相同或近似的系統及方法公開使用,故本發明已符合發明專利有關「新穎性」與「進步性」之要件,乃依法提出申請;惟,熟悉此技術之人士當可在不脫離本發明之精神與原則下對本發明進行變更與修改,而該等變更與修改,應皆涵蓋於如下申請專利範圍所界定之範疇中。 Summing up the above description, the above-mentioned system and method of the present invention can effectively overcome the shortcomings faced by conventional inventions, and further have the above-mentioned numerous advantages and practical values. Therefore, the present invention is an excellent invention creation, and in the same technology There is no public use of the same or similar systems and methods in the field, so this invention meets the requirements of "novelty" and "progressiveness" for invention patents, and an application is filed according to law; however, those who are familiar with this technology should be able to Changes and modifications to the present invention depart from the spirit and principles of the present invention, and such changes and modifications should all be covered in the scope defined by the scope of the patent application below.

S1:步驟一 S1: Step 1

S2:步驟二 S2: Step 2

S3:步驟三 S3: Step three

S4:步驟四 S4: Step four

Claims (6)

一種應用於臨床健康管理的自我生理資訊指標系統,包括: A self-physiological information index system applied to clinical health management, including: 一使用者設備,係用於獲取使用者的至少三生理資訊; A user device, which is used to obtain at least three physiological information of the user; 一伺服器設備,係網路連結該使用者設備,並且儲存該等生理資訊;及 a server device connected to the user device through the network and storing the physiological information; and 一自我資料模組,建立於該伺服器設備,該自我資料模組係透過該伺服器設備網路連結該使用者設備,該自我資料模組包括一基礎數值、複數評估數值及一預警回報訊號,該基礎數值為醫師診斷現況結果比對結合至少三該等生理資訊的平均值,各該評估數值為新測量的各該生理資訊,若各該評估數值偏離該基礎數值的預定數值,即會透過該預警回報訊號傳送警示通知至該使用者設備或者一醫護端。 A self-data module, established on the server device, the self-data module is connected to the user device through the server device network, the self-data module includes a basic value, multiple evaluation values and an early warning return signal , the basic value is the average value of at least three such physiological information compared with the results of the physician's current diagnosis, and each of the evaluated values is the newly measured physiological information. An alert notification is sent to the user equipment or a medical terminal through the alert report signal. 如請求項1之一種應用於臨床健康管理的自我生理資訊指標系統,其中所述預定數值為正負值5%以上。 According to claim 1, a self-physiological information index system applied to clinical health management, wherein the predetermined value is more than plus or minus 5%. 如請求項1之一種應用於臨床健康管理的自我生理資訊指標系統,其中各該評估數值依序連接成線段,且該等評估數值的首端連接該基礎數值。 According to claim 1, a self-physiological information index system applied to clinical health management, wherein the evaluation values are sequentially connected into line segments, and the first ends of the evaluation values are connected to the basic value. 如請求項1之一種應用於臨床健康管理的自我生理資訊指標系統,其中該生理資訊係為評估量表、生理訊號、病理資料或上述任意組合。 As claim 1, a self-physiological information index system applied to clinical health management, wherein the physiological information is an evaluation scale, physiological signal, pathological data or any combination of the above. 一種應用於臨床健康管理的自我生理資訊之分析方法,步驟如下: A method for analyzing self-physiological information applied to clinical health management, the steps are as follows: 步驟一:定時獲取使用者的複數生理資訊並上傳至雲端; Step 1: Obtain the user's multiple physiological information regularly and upload it to the cloud; 步驟二:將醫師診斷現況結果與上傳至雲端的至少三個該等生理資訊的平均值結合後作為比對的一基礎數值; Step 2: Combining the results of the doctor's current diagnosis and the average value of at least three such physiological information uploaded to the cloud as a basic value for comparison; 步驟三:不斷將新測量的該等生理資訊作為複數評估數值,各該評估數值係用以比對該基礎數值; Step 3: Continuously use the newly measured physiological information as a plurality of evaluation values, and each evaluation value is used to compare with the basic value; 步驟四:各該評估數值偏離該基礎數值的預定數值即會發出警示通知至一醫護端或者一使用者設備,藉此修正監測頻率或給藥劑量調整。 Step 4: When each estimated value deviates from the predetermined value of the base value, a warning notification will be sent to a medical terminal or a user device, so as to modify the monitoring frequency or adjust the dosage. 如請求項5之一種應用於臨床健康管理的自我生理資訊之分析方法,其中所述預定數值為正負值5%以上。 According to claim 5, a method for analyzing self-physiological information applied to clinical health management, wherein the predetermined value is more than 5% plus or minus.
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