CN115312207A - Chronic disease monitoring and management method based on intelligent health terminal - Google Patents
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Translated fromChinese技术领域technical field
本发明涉及疾病监测技术领域，尤其涉及一种基于智能健康终端的慢性病监测管理方法。The invention relates to the technical field of disease monitoring, in particular to a method for monitoring and managing chronic diseases based on an intelligent health terminal.
背景技术Background technique
慢性病全称是慢性非传染性疾病，不是特指某种疾病，而是对一类起病隐匿，病程长且病情迁延不愈，缺乏确切的传染性生物病因证据，病因复杂，且有些尚未完全被确认的疾病的概括性总称。目前,针对慢性病病情的控制,自我管理是有效的方法，但自我管理的主要场景是在医院外。在医院外，患者只具备收集身体数据的能力，但不具备有效管控、分析数据的能力。因此，需要频繁的去医院进行线下咨询。一方面导致患者自我管理的意愿较差，另一方面即便能够通过医嘱获知一定的信息，但在面对长达数年的管理周期时，有限次数的医嘱所起的作用也较为微小。因此，如何让患者能够进行自主管理，将对病情的管控起到十分重要的作用。The full name of chronic disease is chronic non-communicable disease. It does not refer to a certain disease, but to a class of insidious onset, long course of disease and protracted disease, lack of definite evidence of infectious biological etiology, complex etiology, and some have not been fully recognized. A general term for a recognized disease. At present, self-management is an effective method for the control of chronic diseases, but the main scene of self-management is outside the hospital. Outside the hospital, patients only have the ability to collect physical data, but they do not have the ability to effectively control and analyze the data. Therefore, it is necessary to go to the hospital frequently for offline consultation. On the one hand, it leads to poor self-management willingness of patients. On the other hand, even if certain information can be obtained through doctor's orders, the limited number of doctor's orders will play a relatively small role in the face of a management cycle that lasts for several years. Therefore, how to enable patients to manage autonomously will play a very important role in the management and control of the disease.
发明内容Contents of the invention
针对现有技术的技术问题，本发明提供了一种基于智能健康终端的慢性病监测管理方法。Aiming at the technical problems of the prior art, the present invention provides a chronic disease monitoring and management method based on an intelligent health terminal.
为解决上述技术问题，本发明提供了以下的技术方案：In order to solve the problems of the technologies described above, the present invention provides the following technical solutions:
一种基于智能健康终端的慢性病监测管理方法，包括：分类步骤：获取目标人员的信息，依据目标人员的信息生成分类类别并依据分类类别生成相应的控制目标值；计划生成步骤：获取目标人员的检测信息，依据分类类别、检测信息生成监测计划，依据监测计划提示目标人员以获取目标人员的实际数据；对比步骤：对比控制目标值、实际数据，当对比结果为异常时，提示目标人员。A chronic disease monitoring and management method based on an intelligent health terminal, comprising: a classification step: obtaining information on a target person, generating a classification category based on the information of the target person and generating a corresponding control target value according to the classification category; a plan generation step: obtaining information on the target person Detection information, generate a monitoring plan based on the classification category and detection information, and prompt the target personnel according to the monitoring plan to obtain the actual data of the target personnel; comparison step: compare the control target value and actual data, and prompt the target personnel when the comparison result is abnormal.
在实际执行时，通过目标人员的信息对目标人员进行分类，并依据分类类别生成相应的控制目标。依据目标人员的检测信息、分类类别生成监测计划。检测信息可由目标人员自行检测获得或者去医院检测获得。由监测计划提示目标人员需要监测的参数，以及监测时间，以此获得目标人员的实际数据。对比控制目标值、实际数据。当对比结果为异常时，提示目标人员。综上，目标人员依据监测计划能够清楚的获知自己需要监测的参数内容，并能够依据对比结果及时获知自身的参数变化，从而能够及时对参数变化进行管控。由此，目标人员无需频繁的去医院进行咨询。一方面降低了目标人员自我管理的时间成本，从而提高了目标人员的自我管理意愿，另一方面对目标人员的提示不受管理周期、次数的限制，使得目标人员对自身身体状态变化的了解更加及时。In actual execution, the target personnel are classified through the information of the target personnel, and the corresponding control objectives are generated according to the classification categories. Generate a monitoring plan based on the detection information and classification categories of target personnel. The detection information can be obtained by the target person's own detection or by going to the hospital for detection. The monitoring plan prompts the target personnel to monitor the parameters and monitoring time, so as to obtain the actual data of the target personnel. Compare the control target value with the actual data. When the comparison result is abnormal, prompt the target personnel. To sum up, the target personnel can clearly know the content of the parameters they need to monitor according to the monitoring plan, and can know their own parameter changes in time according to the comparison results, so that they can control the parameter changes in a timely manner. Thus, the target person does not need to go to the hospital frequently for consultation. On the one hand, it reduces the time cost of self-management of target personnel, thereby improving the willingness of self-management of target personnel; timely.
进一步的，“分类步骤”还包括以下步骤：获取目标人员的信息，目标人员的信息包括年龄、病史、病症状态、身体状态；依据目标人员的信息生成分类类别，分类类别包括年老患者、年轻轻度患者、年轻重度患者、特殊患者；依据分类类别生成相应的控制目标。Further, the "classification step" also includes the following steps: obtaining the information of the target person, the information of the target person includes age, medical history, disease state, and physical state; generating classification categories based on the information of the target person, the classification categories include elderly patients, young Mild patients, young severe patients, special patients; generate corresponding control targets according to classification categories.
进一步的，“计划生成步骤”还包括以下步骤：获取目标人员的检测信息，依据分类类别、检测信息生成监测计划，监测计划包括星期监测项目、月度监测项目、随机监测项目；依据监测计划提示目标人员以获取目标人员的实际数据。Further, the "plan generation step" also includes the following steps: obtain the detection information of the target personnel, generate a monitoring plan according to the classification category and detection information, the monitoring plan includes weekly monitoring items, monthly monitoring items, and random monitoring items; prompt the target according to the monitoring plan People to get actual data on the target people.
进一步的，星期监测项目包括每星期一次监测项目、每两星期或三星期一次监测项目；随机监测项目包括心悸头晕监测、生病监测、运动前监测、运动后监测、饮酒后监测、开车前监测。Further, weekly monitoring items include weekly monitoring items, once every two weeks or three weeks; random monitoring items include heart palpitations and dizziness monitoring, disease monitoring, pre-exercise monitoring, post-exercise monitoring, drinking monitoring, before driving monitor.
进一步的，每星期一次监测项目包括空腹监测、午餐后监测、晚餐后监测；每两星期或三星期一次监测项目包括空腹监测、早餐后监测、午餐前监测、午餐后监测、晚餐前检测、晚餐后监测、睡前监测。Further, weekly monitoring items include fasting monitoring, post-lunch monitoring, and post-dinner monitoring; weekly monitoring items include fasting monitoring, post-breakfast monitoring, pre-lunch monitoring, post-lunch monitoring, and pre-dinner monitoring , Monitoring after dinner, monitoring before going to bed.
进一步的，对比步骤还包括以下步骤：逐项对比实际数据与控制目标值，上传对比结果，当对比结果为异常时，提示目标人员；计算实际数据之间的差值，以获取当日波动，上传当日波动，当当日波动异常时，提示目标人员。Further, the comparison step also includes the following steps: comparing the actual data and the control target value item by item, uploading the comparison result, and prompting the target personnel when the comparison result is abnormal; calculating the difference between the actual data to obtain the fluctuation of the day, uploading Fluctuations of the day, when the fluctuations of the day are abnormal, the target personnel will be prompted.
进一步的，还包括警示步骤：警示步骤包括以下步骤：对比实际数据与最低警戒值，当对比结果为小于时，警示目标人员；对比实际数据与最大警戒值，当对比结果为大于时，警示目标人员。Further, it also includes a warning step: the warning step includes the following steps: comparing the actual data with the minimum warning value, when the comparison result is less than, warning the target personnel; comparing the actual data with the maximum warning value, when the comparison result is greater than, warning the target personnel.
相较于现有技术，本发明具有以下优点：Compared with the prior art, the present invention has the following advantages:
本发明一方面，可有效降低目标人员的时间成本，提高了目标人员的自我管理意愿，另一方面，可对目标人员的身体状态的变化进行及时提示。On the one hand, the present invention can effectively reduce the time cost of the target person and improve the self-management willingness of the target person; on the other hand, it can timely prompt the change of the target person's physical state.
本发明一方面可另目标人员清楚获知自身身体状态，另一方面当身体状态向良好发展时，对目标人员是一种正向激励，从而进一步提高目标人员的自我管理意愿。On the one hand, the present invention can make the target person know their own physical condition clearly, and on the other hand, when the physical condition develops well, it is a kind of positive incentive to the target person, thereby further improving the self-management willingness of the target person.
本发明获取的实际数据大部分与饮食状态相关，一方面，利用相关数据有助于目标人员对慢性病进行管控，另一方面饮食对实际数据的数值影响产生较快，目标人员能够更快速的体会到调整效果，当实际数据向良好状态发展时，对于目标人员是一种正向鼓励，从而更进一步提高患者自我管理的意愿。Most of the actual data obtained by the present invention are related to diet status. On the one hand, using relevant data helps target personnel to manage and control chronic diseases; When the actual data develops to a good state, it is a kind of positive encouragement for the target personnel, thus further improving the willingness of patients to self-manage.
附图说明Description of drawings
图1：整体流程图。Figure 1: Overall flowchart.
具体实施方式Detailed ways
以下是本发明的具体实施例并结合附图，对本发明的技术方案作进一步的描述，但本发明并不限于这些实施例。The following are specific embodiments of the present invention and in conjunction with the accompanying drawings, the technical solutions of the present invention are further described, but the present invention is not limited to these embodiments.
一种基于智能健康终端的慢性病监测管理方法，包括：分类步骤：获取目标人员的信息，依据目标人员的信息生成分类类别并依据分类类别生成相应的控制目标值；A chronic disease monitoring and management method based on an intelligent health terminal, comprising: a classification step: obtaining information of a target person, generating a classification category based on the information of the target person, and generating a corresponding control target value according to the classification category;
计划生成步骤：获取目标人员的检测信息，依据分类类别、检测信息生成监测计划，依据监测计划提示目标人员以获取目标人员的实际数据；Plan generation step: Obtain the detection information of the target person, generate a monitoring plan based on the classification category and detection information, and prompt the target person according to the monitoring plan to obtain the actual data of the target person;
对比步骤：对比控制目标值、实际数据，当对比结果为异常时，提示目标人员。Comparison step: compare the control target value and actual data, and when the comparison result is abnormal, prompt the target personnel.
具体的，分类步骤还包括以下步骤：获取目标人员的信息，目标人员的信息包括年龄、病史、病症状态、身体状态；Specifically, the step of classifying also includes the following steps: obtaining information of the target person, the information of the target person includes age, medical history, disease state, and physical state;
依据目标人员的信息生成分类类别，分类类别包括年老患者、年轻轻度患者、年轻重度患者、特殊患者；Generate classification categories based on target personnel information, including elderly patients, young mild patients, young severe patients, and special patients;
依据分类类别生成相应的控制目标。Generate corresponding control objectives according to classification categories.
具体的，计划生成步骤还包括以下步骤：获取目标人员的检测信息，依据分类类别、检测信息生成监测计划，监测计划包括星期监测项目、月度监测项目、随机监测项目；Specifically, the plan generation step also includes the following steps: obtaining the detection information of the target personnel, and generating a monitoring plan according to the classification category and detection information, and the monitoring plan includes weekly monitoring items, monthly monitoring items, and random monitoring items;
依据监测计划提示目标人员以获取目标人员的实际数据。Prompt the target person to obtain the actual data of the target person according to the monitoring plan.
其中，星期监测项目包括每星期一次监测项目、每两星期或三星期一次监测项目；每星期一次监测项目包括空腹监测、午餐后监测、晚餐后监测；每两星期或三星期一次监测项目包括空腹监测、早餐后监测、午餐前监测、午餐后监测、晚餐前检测、晚餐后监测、睡前监测。随机监测项目包括心悸头晕监测、生病监测、运动前监测、运动后监测、饮酒后监测、开车前监测。Among them, weekly monitoring items include weekly monitoring items, once every two weeks or three weeks; weekly monitoring items include fasting monitoring, post-lunch monitoring, and post-dinner monitoring; once every two weeks or three weeks The monitoring items include fasting monitoring, post-breakfast monitoring, pre-lunch monitoring, post-lunch monitoring, pre-dinner testing, post-dinner monitoring, and bedtime monitoring. Random monitoring items include palpitations and dizziness monitoring, disease monitoring, pre-exercise monitoring, post-exercise monitoring, alcohol monitoring, and driving monitoring.
具体的，对比步骤还包括以下步骤：Specifically, the comparison step also includes the following steps:
逐项对比实际数据与控制目标值，上传对比结果，当对比结果为异常时，提示目标人员；Compare the actual data with the control target value item by item, upload the comparison result, and prompt the target personnel when the comparison result is abnormal;
计算实际数据之间的差值，以获取当日波动，上传当日波动，当当日波动异常时，提示目标人员。Calculate the difference between the actual data to obtain the fluctuation of the day, upload the fluctuation of the day, and prompt the target personnel when the fluctuation of the day is abnormal.
还包括警示步骤：Also includes alert steps:
警示步骤包括以下步骤：The alert procedure includes the following steps:
对比实际数据与最低警戒值，当对比结果为小于时，警示目标人员；Comparing the actual data with the minimum warning value, when the comparison result is less than, alert the target personnel;
对比实际数据与最大警戒值，当对比结果为大于时，警示目标人员。Compare the actual data with the maximum warning value, and when the comparison result is greater than, the target personnel will be alerted.
在实际执行时，可将本方法搭载在现有的智能终端上，例如：手机、电脑、平板等能够进行数据输入与储存的设备。目标人员输入年龄、病史、病症状态、身体状态，依据输入的信息对目标人员进行分类，具体可分为年老患者、年轻轻度患者、年轻重度患者、特殊患者。其中，特殊患者指由于特殊原因所导致身体呈现相应病理现象的人员，例如：由于处在妊娠期，身体状态呈现出与糖尿病相对应病理现象的孕妇。每一类均对应有相应的控制目标。In actual implementation, the method can be carried on existing smart terminals, such as mobile phones, computers, tablets and other devices capable of data input and storage. Target personnel input age, medical history, disease status, and physical status, and classify target personnel according to the input information, which can be divided into elderly patients, young mild patients, young severe patients, and special patients. Among them, the special patient refers to the person whose body exhibits corresponding pathological phenomena due to special reasons, for example: a pregnant woman whose physical condition exhibits a corresponding pathological phenomenon corresponding to diabetes due to being in pregnancy. Each category corresponds to a corresponding control objective.
获取目标人员的检测信息。检测信息至少包括目标人员近期的身体数据，例如：糖尿病患者为近几天的血糖，高血压患者为近几天的血压。依据分类类别、检测信息对目标人员进行二次分类。例如：特殊患者-控制平稳、特殊患者-控制不平稳、特殊患者-参数达标。同理的，年老患者、年轻轻度患者、年轻重度患者也存在前述的分类。具体的，如何依据检测信息判定是否控制平稳，是否参数达标可依据现有的医学理论进行判定，此处不再赘述。依据分类类别、检测信息生成监测计划。监测计划包括星期监测项目、月度监测项目、随机监测项目。星期监测项目包括每星期一次监测项目、每两星期或三星期一次监测项目。其中，每星期一次监测项目包括空腹监测、午餐后监测、晚餐后监测。每两星期或三星期一次监测项目包括空腹监测、早餐后监测、午餐前监测、午餐后监测、晚餐前检测、晚餐后监测、睡前监测。在实际状态下，饮食状态对人体影响较大。由此，可准确获知饮食对人体的影响。其中，随机监测项目包括心悸头晕监测、生病监测、运动前监测、运动后监测、饮酒后监测、开车前监测。随机监测项目仅在目标人员实行对应行动时进行监测。其中，月度监测项目所针对的参数为相应疾病的重点干预参数，例如：糖尿病的月度监测项目为糖化血红蛋白数值。由此，依据监测计划提示目标人员需要监测的内容，以获取对应项目的实际数据。Obtain the detection information of the target person. The detection information includes at least the recent physical data of the target person, for example, the blood sugar in the past few days for a diabetic patient, and the blood pressure in the past few days for a hypertensive patient. According to the classification category and detection information, the target personnel are classified again. For example: special patient - stable control, special patient - unstable control, special patient - parameter up to standard. Similarly, the aforementioned classifications also exist for elderly patients, young mild patients, and young severe patients. Specifically, how to determine whether the control is stable and whether the parameters meet the standards based on the detection information can be determined based on existing medical theories, and will not be repeated here. Generate a monitoring plan based on classification categories and testing information. The monitoring plan includes weekly monitoring items, monthly monitoring items, and random monitoring items. Weekly monitoring items include weekly monitoring items, once every two weeks or three weeks. Among them, the weekly monitoring items include fasting monitoring, post-lunch monitoring, and post-dinner monitoring. The monitoring items every two weeks or three weeks include fasting monitoring, post-breakfast monitoring, pre-lunch monitoring, post-lunch monitoring, pre-dinner testing, post-dinner monitoring, and bedtime monitoring. In the actual state, the state of diet has a greater impact on the human body. Thus, the influence of diet on the human body can be accurately known. Among them, the random monitoring items include palpitations and dizziness monitoring, disease monitoring, pre-exercise monitoring, post-exercise monitoring, drinking alcohol monitoring, and driving monitoring. The random monitoring program only monitors when the target personnel carry out corresponding actions. Among them, the parameters targeted by the monthly monitoring items are the key intervention parameters of corresponding diseases, for example, the monthly monitoring item of diabetes is the value of glycosylated hemoglobin. Thus, according to the monitoring plan, the target personnel are prompted with the content to be monitored, so as to obtain the actual data of the corresponding project.
在实际执行时，控制目标值至少包括以下几个数值：空腹值、餐后值、餐前值、随机值、睡前值、月度值。将实际数据与控制目标值进行逐项对比，例如：将空腹监测所得的实际数据与空腹值对比，将午餐后监测、早餐后监测所得的实际数据与餐后值对比，以此类推。将对比结果进行上传，上传后可由互联网医生进行相应的判断，以获取相应的线上医嘱。同时，当对比结果为异常时，可由智能终端对目标人员进行相应的提示。例如：在针对糖尿病监测时，将空腹监测所得的实际数据与空腹值对比，并将对比结果进行上传后，可由互联网医生进行判断是否存在黎明现象或苏木杰现象，并据此提供相应的意见。同时，计算同一天内，所得的实际数据之间的差值，具体包括：餐前实际数据与餐后实际数据之间的差值，例如：午餐前监测的实际数值与午餐后监测的实际数值之间的差值。实际数据中的最大值与实际数据中的最小值之间的差值。以两个差值作为当日波动进行上传，上传后由互联网医生进行相应的判断，以获取相应的线上医嘱。同时，当当日波动异常时，提示目标人员。例如：在针对糖尿病监测时，若午餐前监测的实际数值与午餐后监测的实际数值之间的差值过大(依据现有的医学理论可知两者之间的差值不应大于2.2mmol/L)，则对目标人员进行相应的提示。同时，由互联网医生给予相应的医嘱。In actual implementation, the control target value includes at least the following values: fasting value, post-meal value, pre-meal value, random value, bedtime value, and monthly value. Compare the actual data with the control target value item by item, for example: compare the actual data obtained from fasting monitoring with the fasting value, compare the actual data obtained from post-lunch monitoring and post-breakfast monitoring with the post-prandial value, and so on. Upload the comparison results, and after uploading, the Internet doctor can make a corresponding judgment to obtain the corresponding online doctor's order. At the same time, when the comparison result is abnormal, the smart terminal can give corresponding prompts to the target personnel. For example: when monitoring diabetes, compare the actual data obtained from fasting monitoring with the fasting value, and upload the comparison results, and then the Internet doctor can judge whether there is dawn phenomenon or Somogyi phenomenon, and provide corresponding opinions accordingly. At the same time, calculate the difference between the actual data obtained within the same day, specifically including: the difference between the actual data before the meal and the actual data after the meal, for example: the difference between the actual value monitored before lunch and the actual value monitored after lunch difference between. The difference between the largest value in the actual data and the smallest value in the actual data. The difference between the two values is uploaded as the fluctuation of the day, and after uploading, the Internet doctor will make a corresponding judgment to obtain the corresponding online doctor's order. At the same time, when the fluctuation of the day is abnormal, the target personnel will be prompted. For example: when monitoring diabetes, if the difference between the actual value monitored before lunch and the actual value monitored after lunch is too large (according to the existing medical theory, the difference between the two should not be greater than 2.2mmol/ L), the target personnel will be prompted accordingly. At the same time, the corresponding doctor's order will be given by the Internet doctor.
作为优选的，可以依据现有的医学理论预先设定相应的提示内容，例如：空腹监测所得的实际数据与空腹值对比，若相差过大，可直接提示目标人员注意黎明现象、苏木杰现象，并对两种现象进行相应的注释。一方面可使得目标人员更容易了解自身的身体状况。另一方面，可在一定程度上减轻互联网医生的诊断压力。Preferably, corresponding prompting content can be pre-set according to existing medical theories, for example: the actual data obtained by fasting monitoring is compared with the fasting value, if the difference is too large, the target personnel can be directly prompted to pay attention to the dawn phenomenon and Somogyi phenomenon, and Corresponding annotations are made for the two phenomena. On the one hand, it can make it easier for the target person to understand his or her physical condition. On the other hand, it can reduce the diagnostic pressure of Internet doctors to a certain extent.
还包括警示步骤。具体的，每当获取实际数据时，便将实际数据与对应的最低警戒值、最大警戒值进行对比。当实际数据小于最低警戒值时，由智能终端警示目标人员。当实际数据大于最大警戒值时，由智能终端警示目标人员。值得注意的是，最低警戒值、最大警戒值可依据现有的医学理论进行设定。例如：糖尿病最低警戒值为3.9mmol/L，最大警戒值为16.7mmol/L。A warning step is also included. Specifically, whenever the actual data is acquired, the actual data is compared with the corresponding minimum warning value and the maximum warning value. When the actual data is less than the minimum warning value, the intelligent terminal will warn the target personnel. When the actual data is greater than the maximum warning value, the intelligent terminal will warn the target personnel. It is worth noting that the minimum alert value and the maximum alert value can be set based on existing medical theories. For example: the minimum alert value for diabetes is 3.9mmol/L, and the maximum alert value is 16.7mmol/L.
同时，每当获取到目标人员的实际数据时，则依据实际数据、分类类别对目标人员的二次分类进行再次判断。当二次分类的结果发生变化时，提示目标人员。例如：由特殊患者-控制不平稳转变为特殊患者-控制平稳时，由智能终端对目标人员进行提示。At the same time, whenever the actual data of the target person is obtained, the secondary classification of the target person is judged again based on the actual data and classification category. When the result of the secondary classification changes, the target person is prompted. For example: when the special patient-unstable control changes to the special patient-stable control, the intelligent terminal will prompt the target personnel.
综上，本发明依据目标人员的信息对目标人员进行分类以获取分类类别，为对目标人员的第一次分类。分类类别表征的是目标人员当前的“疾病状态”。目标人员依据分类类别，能够更加清楚的获知当前的疾病情况。依据分类类别、检测信息对目标人员的分类为第二次分类。第二次分类表征的是目标人员当前的“控制状态”。目标人员依据第二次分类，能够更加清楚的获知当前的控制情况。由此，利用两次分类，目标人员能够对自身的疾病情况有一个充分的了解。同时，通过第一次分类确定了未来的控制目标，通过第二次分类确定了未来的监测计划。由此，目标人员能够利用实际数据与控制目标值之间的相对变化，清楚的获知自身对疾病的控制情况。当实际数据逐渐向控制目标值趋近时，对目标人员而言是一种正向激励。另一方面，第二次分类也是依据目标人员的当前实际数据情况进行及时更新。当第二次分类产生诸如：由控制不平稳转变为控制平稳的变化时，对目标人员而言也是一种正向激励。To sum up, the present invention classifies the target person according to the information of the target person to obtain the classification category, which is the first classification of the target person. Classification categories characterize the current "disease state" of the target person. According to the classification category, the target personnel can know the current disease situation more clearly. The classification of target personnel based on classification categories and detection information is the second classification. The second classification characterizes the current "control state" of the target person. According to the second classification, the target personnel can know the current control situation more clearly. Thus, by using the two classifications, the target person can have a full understanding of his or her disease. At the same time, the future control target is determined through the first classification, and the future monitoring plan is determined through the second classification. Thus, the target personnel can use the relative change between the actual data and the control target value to clearly know their own control of the disease. When the actual data gradually approaches the control target value, it is a positive incentive for the target personnel. On the other hand, the second classification is also updated in time based on the current actual data of the target personnel. When the second classification produces a change such as: from unstable control to stable control, it is also a positive incentive for the target personnel.
值得注意的是，实际数据所针对的具体参数与所患疾病相关联，例如：糖尿病则针对血糖、高血压则针对血压。It is worth noting that the specific parameters for the actual data are related to the disease, for example: diabetes is for blood sugar, hypertension is for blood pressure.
作为优选的，可以同步获取家庭成员的实际数据，从而在智能终端上依据家庭成员的实际数据建立家庭成员档案，以依据前述的过程给予每个家庭成员相应建议或提示。由此，以及时监测部分慢性病因可遗传特性对其他家庭成员所带来的影响，从而为其他家庭成员针对相应的慢性病进行提前预防。例如：糖尿病具有明显的遗传易感性，利用前述的方式可尽早获知其他家庭成员的身体情况，从而为疾病的提前治疗提供可能。Preferably, the actual data of the family members can be obtained synchronously, so that the family member files can be established on the smart terminal based on the actual data of the family members, so as to give corresponding suggestions or reminders to each family member according to the aforementioned process. Therefore, it is possible to monitor in time the impact of some chronic etiological heritable characteristics on other family members, so as to prevent corresponding chronic diseases for other family members in advance. For example: Diabetes has obvious genetic susceptibility, and the aforementioned methods can be used to know the physical conditions of other family members as early as possible, thus providing the possibility for early treatment of the disease.
综上，本发明使得目标人员能够清楚获知自身需要监测的项目内容，并能够及时对目标人员进行提示。一方面，使得目标人员无需频繁的医院进行线下咨询，从而降低了目标人员的时间成本，进而提高了患者自我管理的意愿，另一方面，可对目标人员的身体状态的变化进行及时提示。同时，本发明采用实际数据与控制目标值之间对比，实际数据之间进行对比的双重对比机制。一方面能够令目标人员清楚获知自身身体状态的变化，另一方面，当实际数据向控制目标值趋近时，对于目标人员是一种正向激励，有助于进一步提高患者自我管理的意愿。其次，本发明获取的实际数据大部分与饮食状态相关，一方面饮食对慢性病的影响较大，利用相关数据有助于目标人员对慢性病进行管控，另一方面饮食对实际数据的数值影响产生较快，当目标人员对饮食进行调整时，目标人员能够更快速的体会到调整效果，当实际数据向良好状态发展时，对于目标人员是一种正向鼓励，从而更进一步提高患者自我管理的意愿。To sum up, the present invention enables the target personnel to clearly know the content of the items that they need to monitor, and can prompt the target personnel in time. On the one hand, it eliminates the need for frequent offline consultations in hospitals by the target personnel, thereby reducing the time cost of the target personnel and improving the willingness of patients to self-manage. On the other hand, it can provide timely reminders of changes in the physical status of the target personnel. At the same time, the present invention adopts a double comparison mechanism in which the actual data is compared with the control target value and the actual data is compared. On the one hand, it can make the target personnel clearly aware of the changes in their own physical state. On the other hand, when the actual data approaches the control target value, it is a positive incentive for the target personnel and helps to further improve the willingness of patients to self-manage. Secondly, most of the actual data obtained by the present invention are related to diet status. On the one hand, diet has a greater impact on chronic diseases, and the use of related data helps target personnel to manage and control chronic diseases. Fast, when the target person adjusts the diet, the target person can experience the adjustment effect more quickly. When the actual data develops to a good state, it is a kind of positive encouragement for the target person, thereby further improving the patient's willingness to self-manage .
本文中所描述的具体实施例仅仅是对本发明精神作举例说明。本发明所属技术领域的技术人员可以对所描述的具体实施例做各种各样的修改或补充或采用类似的方式替代，但并不会偏离本发明的精神或者超越所附权利要求书所定义的范围。The specific embodiments described herein are merely illustrative of the spirit of the invention. Those skilled in the art to which the present invention belongs can make various modifications or supplements to the described specific embodiments or adopt similar methods to replace them, but they will not deviate from the spirit of the present invention or go beyond the definition of the appended claims range.
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