CN114242200A - Terminal, server device, medical health management system, medical health management method, and storage medium - Google Patents
Terminal, server device, medical health management system, medical health management method, and storage medium Download PDFInfo
- Publication number
- CN114242200A CN114242200A CN202111574057.9A CN202111574057A CN114242200A CN 114242200 A CN114242200 A CN 114242200A CN 202111574057 A CN202111574057 A CN 202111574057A CN 114242200 A CN114242200 A CN 114242200A
- Authority
- CN
- China
- Prior art keywords
- data
- user
- medicine
- taking
- daily activity
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007726 management method Methods 0.000 title claims abstract description 63
- 230000036541 health Effects 0.000 title claims abstract description 60
- 238000003860 storage Methods 0.000 title claims abstract description 26
- 239000003814 drug Substances 0.000 claims abstract description 292
- 230000000694 effects Effects 0.000 claims abstract description 178
- 229940079593 drug Drugs 0.000 claims abstract description 145
- 238000012545 processing Methods 0.000 claims description 37
- 230000003920 cognitive function Effects 0.000 claims description 29
- 238000000034 method Methods 0.000 claims description 29
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 claims description 27
- 239000008280 blood Substances 0.000 claims description 27
- 210000004369 blood Anatomy 0.000 claims description 27
- 230000036772 blood pressure Effects 0.000 claims description 27
- 239000008103 glucose Substances 0.000 claims description 27
- 230000006996 mental state Effects 0.000 claims description 25
- 238000012360 testing method Methods 0.000 claims description 23
- 230000005540 biological transmission Effects 0.000 claims description 18
- 208000030159 metabolic disease Diseases 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 10
- 238000013500 data storage Methods 0.000 claims description 9
- 208000016097 disease of metabolism Diseases 0.000 claims description 9
- 206010012289 Dementia Diseases 0.000 claims description 7
- 239000002243 precursor Substances 0.000 claims description 5
- 208000020401 Depressive disease Diseases 0.000 claims description 2
- 208000024714 major depressive disease Diseases 0.000 claims description 2
- 201000003995 melancholia Diseases 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 abstract description 7
- 230000008859 change Effects 0.000 description 23
- 238000010586 diagram Methods 0.000 description 20
- 230000009471 action Effects 0.000 description 10
- 238000004891 communication Methods 0.000 description 10
- 230000004622 sleep time Effects 0.000 description 10
- 230000006870 function Effects 0.000 description 9
- 206010062519 Poor quality sleep Diseases 0.000 description 7
- 201000002859 sleep apnea Diseases 0.000 description 7
- 238000006467 substitution reaction Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 5
- 230000005236 sound signal Effects 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 239000002547 new drug Substances 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000001902 propagating effect Effects 0.000 description 2
- 230000004617 sleep duration Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000010420 art technique Methods 0.000 description 1
- 230000007211 cardiovascular event Effects 0.000 description 1
- 208000015114 central nervous system disease Diseases 0.000 description 1
- 230000003930 cognitive ability Effects 0.000 description 1
- 229910052802 copper Inorganic materials 0.000 description 1
- 239000010949 copper Substances 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 230000035622 drinking Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000005180 public health Effects 0.000 description 1
- 238000004080 punching Methods 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 230000002618 waking effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Epidemiology (AREA)
- Biomedical Technology (AREA)
- Data Mining & Analysis (AREA)
- Pathology (AREA)
- Databases & Information Systems (AREA)
- Chemical & Material Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Medicinal Chemistry (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The present disclosure relates to a terminal, a server device, a medical health management system, a medical health management method, and a storage medium. The medical health management method comprises the following steps: a first data acquisition step of acquiring daily activity data, which is data of a user relating to physical conditions in daily life; an instruction receiving step of receiving an input of a predetermined instruction by the user; a second data acquisition step of acquiring, in accordance with the received instruction of the user, medicine-taking-related physical status data which is data related to medicine taking by the user and which is obtained based on the daily activity data; and a first data presentation step of presenting the acquired medication-related physical condition data to the user. By monitoring the data of the user related to the physical condition in daily life, collecting and analyzing the data and presenting the data of the physical condition related to medicine taking to the patient, the intention of the patient to take medicine can be improved, and the compliance of the patient to take medicine can be improved.
Description
Technical Field
The present disclosure relates to the field of health management, and in particular, to a terminal device, a server device, a medical health management system and method, and a storage medium.
Background
In recent years, the number of patients with metabolic diseases is increasing, and the importance of treatment and management thereof is becoming higher. Further, it is known that metabolic diseases are at risk of developing central nervous system diseases such as cardiovascular events and dementia, and it is known that some patients are also complicated with sleep apnea syndrome and the like, and therefore it is very important to appropriately treat metabolic diseases as basic diseases for preventing and improving the onset of other diseases and symptoms.
In addition, the compliance of taking medicines for patients with metabolic diseases is low, and various medication management applications have been developed as a method for improving the compliance of taking medicines. However, these applications prevent the user from forgetting to take the medicine by the medicine-taking time alarm function, the medicine-taking record, and the purchase alarm function corresponding to the remaining dose, thereby improving the user's compliance with taking the medicine. Other prior art techniques communicate the patient's medication to the treatment/care giver of the medical/public health system with the goal of having the treatment/care giver grasp the patient's medication and thereby guide the patient.
Disclosure of Invention
In view of the above, the present disclosure provides an improved terminal device, a server device, a medical health management system and method, and a storage medium, which are not intended to prevent a patient from forgetting to take a medicine, but to improve the willingness of the patient himself to take the medicine and further improve the compliance of the patient himself to take the medicine.
According to an aspect of the present disclosure, there is provided a medical health management method including: a first data acquisition step of acquiring daily activity data, which is data of a user relating to physical conditions in daily life; an instruction receiving step of receiving an input of a predetermined instruction by the user; a second data acquisition step of acquiring, in accordance with the received instruction of the user, medicine-taking-related physical status data which is data related to medicine taking by the user and which is obtained based on the daily activity data; and a first data presentation step of presenting the acquired medication-related physical condition data to the user.
According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method of any one of claims 1 to 8.
According to another aspect of the present disclosure, there is provided a terminal apparatus including: a first data acquisition unit that acquires daily activity data that is data of a user regarding a physical condition in daily life; an instruction receiving unit that receives an input of a predetermined instruction by the user; a second data acquisition unit that acquires, in accordance with the received instruction of the user, medicine-taking-related physical status data that is data related to medicine taking by the user and that is obtained based on the daily activity data; and a display unit that displays the acquired medication-related physical condition data to the user.
According to another aspect of the present disclosure, there is provided a server apparatus including: a data acquisition unit that acquires daily activity data, which is data of a user regarding a physical condition in daily life, from a terminal device of the user; a data storage unit that stores the acquired daily activity data in association with the user; a request receiving unit that receives, from the terminal device, a request for acquiring medicine-taking-related physical status data that is data related to medicine taking by the user and obtained based on the daily activity data; a data processing unit that creates the medicine taking-related physical condition data for presentation by the terminal device based on the stored daily activity data in accordance with the acquisition request; and a data transmitting unit that transmits the created medicine-taking-related physical condition data to the terminal device.
According to another aspect of the present disclosure, there is provided a medical health management system including a terminal device and a server device, the terminal device including: a data acquisition unit that acquires daily activity data, which is data of a user relating to a physical condition in daily life; a first data transmission unit that transmits the acquired daily activity data to the server device; an instruction receiving unit that receives an input of a predetermined instruction by the user; a request transmitting unit that transmits, to the server apparatus, a request for acquiring medicine-taking-related physical status data, which is data related to medicine taking by the user and obtained based on the daily activity data, in accordance with the received instruction of the user; a first data receiving unit that receives the medication-related physical status data from the server apparatus; and a display unit that displays the received medicine-taking-related physical condition data to the user, the server device including: a second data receiving unit that receives the daily activity data transmitted from the terminal device; a data storage unit that stores the received daily activity data in association with the user; a request receiving unit that receives a request for acquiring the medicine-taking-related physical condition data from the terminal device; a data processing unit that creates the medication-related physical condition data based on the stored daily activity data in accordance with the acquisition request; and a second data transmitting unit that transmits the created medicine-taking-related physical condition data to the terminal device.
The terminal device, the server device, the medical health management system and the medical health management method and the storage medium according to the aspects of the disclosure enable the patient to visually know the situation change before and after the medicine taking by taking the terminal device owned by the patient as a medium, so that the medicine taking will of the patient can be improved, the medicine taking compliance of the patient can be improved, the complications of the patient with metabolic diseases such as apnea syndrome during sleep can be detected early, early intervention treatment can be performed on the complications, and the monitoring of dementia, dementia high in risk, and the like among the patients with metabolic diseases can be facilitated, The precursor of depression thus enables early intervention treatment for this.
Further, the technical scheme for more accurately acquiring the daily activity data of the user is provided. For example, in a Digital Symbol Substitution Test (DSST), a specific symbol group is determined by the inventor, which can facilitate the user to perform a drawing test on a daily basis, and also can maximally and accurately measure the cognitive ability of the user in a simple manner through a limited number of symbols in the specific symbol group. By the technical scheme, the cognitive function of the user can be tested more comprehensively, so that a more accurate test result is obtained.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a block diagram of a terminal device according to an embodiment.
Fig. 2 is a block diagram of a medical health management system according to an embodiment.
Fig. 3 is a flowchart illustrating a flow of the medical health management method according to the embodiment.
Fig. 4 is a sequence diagram of the medical health management method according to embodiment 1.
Fig. 5 is a block diagram of a terminal device according to embodiment 2.
Fig. 6 is a block diagram of a server device according to embodiment 2.
Fig. 7 is a block diagram of a server device according to the embodiment.
Fig. 8 is a diagram showing an example of a test screen of the Digital Sign Substitution Test (DSST).
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
As shown in fig. 1, a terminal device 1 according to the present embodiment includes: a first data acquisition unit 101 that acquires daily activity data, which is data of a user regarding a physical condition in daily life; an instruction receiving unit 102 that receives an input of a predetermined instruction by a user; a second data acquisition unit 103 that acquires medicine-taking-related physical condition data, which is data based on daily activity data relating to medicine taking by the user, in accordance with the received user instruction; and a data presentation unit 104 that presents the acquired medication-related physical condition data to the user.
For example, the instruction receiving unit 102 may receive an input of an instruction from a user to acquire data obtained based on daily activity data of a predetermined medication period, the second data acquiring unit 103 may acquire data obtained based on daily activity data of the predetermined medication period based on the received instruction from the user, and the data presenting unit 104 may present the acquired data obtained based on daily activity data of the predetermined medication period to the user. Thus, the numerical value of the physical condition data and the change thereof during the prescribed medication period can be presented to the patient, and a more intuitive reference for the medication action can be provided to the patient. Therefore, the willingness of the patient to take medicine can be further improved, and the compliance of the patient to take medicine can be further improved.
In each of the embodiments including the present embodiment, the predetermined medicine taking period may be a period from the start of medicine taking by the user to the end of medicine taking (the current time if medicine is still being taken), may be a period of time from the start time point and the end time point specified by the user within the period from the start of medicine taking by the user, or may be one course of medicine taking that can be known from the medicine taking information of the user.
The instruction receiving unit 102 may receive an input of an instruction from a user to acquire data obtained based on the daily activity data before and after taking medicine, the second data acquiring unit 103 may acquire data obtained based on the daily activity data before and after taking medicine based on the received instruction from the user, and the data presenting unit 104 may present the acquired data obtained based on the daily activity data before and after taking medicine to the user. Therefore, the numerical change of the physical condition data before and after the medicine taking can be presented to the patient, and the more intuitive reference of the medicine taking action is provided for the patient. Therefore, the willingness of the patient to take medicine can be further improved, and the compliance of the patient to take medicine can be further improved.
For example, the terminal apparatus 1 may further include a third data acquisition unit that acquires data indicating the medication time of the user from the medication information of the user, and the data indicating the medication time of the user acquired by the third data acquisition unit may be presented to the user via the data presentation unit 104, so that the user can input an instruction to acquire data obtained based on daily activity data of a predetermined medication period or data obtained based on daily activity data before and after medication, based on the presented data indicating the medication time of the user.
In each of the embodiments including the present embodiment, the medicine taking information of the user may be input by the user to the terminal device and stored in the terminal device, or may be input by the user to the terminal device and transmitted to the server device and stored in the server device, or the medicine taking information of the user may be collected by other methods.
The terminal device 1 may further include a third data acquiring unit for acquiring data indicating the prescription of the user and the medication time corresponding to the prescription from the medication information of the user, the data presenting unit 104 may present the acquired data indicating the prescription of the user and the medication time corresponding to the prescription to the user, the instruction accepting unit 102 may accept an input of an instruction by the user to acquire data obtained based on daily activity data during medication periods of a plurality of prescriptions based on the presented data indicating the prescription of the user and the medication time corresponding to the prescription, the second data acquiring unit 103 acquires data based on daily activity data of the medication periods of the plurality of prescriptions in accordance with the received user instruction, and the data presenting unit 104 presents the acquired data based on the daily activity data of the medication periods of the plurality of prescriptions to the user. Therefore, the numerical change of the physical condition data of different prescriptions during the taking period can be presented to the patient, and the more intuitive reference of the taking action of each prescription is provided for the patient. Therefore, the patient can know the prescription with better medicine taking effect, and the medicine taking willingness of the patient to the prescription with better medicine taking effect is improved, so that the medicine taking compliance of the patient is further improved.
In each of the embodiments including the present embodiment, the difference in prescription includes at least one of a difference in the amount of medicine in the prescription, a difference in the frequency of administration of the medicine in the prescription, and a difference in the dose of administration of the medicine in the prescription.
For example, the terminal device 1 may further include a first storage unit that stores the daily activity data acquired by the first data acquisition unit, and the second data acquisition unit 103 may acquire the data of the medicine taking-related physical condition from the stored daily activity data in accordance with the received instruction of the user. Thus, even if the terminal device 1 is not networked, the patient can view data desired to be referred to using the terminal device 1.
The terminal device 1 may further include a first data transmitting unit that transmits the acquired daily activity data to the server device, and the second data acquiring unit 103 may transmit a request for acquiring the medicine-taking-related physical status data to the server device and acquire the medicine-taking-related physical status data from the server device in accordance with the received instruction of the user. This eliminates the need for the terminal device 1 to store a large amount of data of the user, and thus saves the storage space of the terminal device 1. Further, since the daily activity data of the user is managed by the server apparatus and the medicine-taking-related physical condition data is also analyzed and processed by the server apparatus, the processing load of the terminal apparatus 1 can be reduced.
In the present embodiment, the first data acquisition unit 101 may acquire daily activity data by receiving daily activity data manually input by a user. Alternatively, the daily activity data of the user may be measured by a wearable device worn by the user, and the first data acquisition unit 101 may acquire the daily activity data by receiving the daily activity data from the wearable device. Alternatively, the first data acquisition unit 101 may acquire the result of the physical condition test performed by the user on the terminal device 1 as the daily activity data.
For example, when a physical condition is tested, a symbol may be displayed on a touch-screen display of the terminal device 1
The "mountain", "woman", "pi", "a", "す", "Ω", "fly", and "〒" are combined with 9 numbers, and the user draws a symbol corresponding to the number displayed at the center of the touch panel display with his or her hand on the touch panel display of the terminal device 1 with reference to the displayed combination, and the terminal device 1 totals the number of symbols that the user correctly answers within a predetermined time period, and uses the total as a result of the test of cognitive function. By performing the Digital Symbol Substitution Test (DSST) using the above-mentioned 9 symbols, the cognitive function of the user can be more comprehensively tested than in the conventional Digital Symbol Substitution Test (DSST), and more accurate test results can be obtained.
For example, the second data acquiring unit 103 may acquire the medicine taking-related physical status data and the index data corresponding to the medicine taking-related physical status data in accordance with the received user instruction, and the data presenting unit 104 may present the acquired medicine taking-related physical status data and the index data corresponding to the medicine taking-related physical status data to the user. The index data may be desired index data set by a user or index data conforming to a normal health standard. In addition, the index data may be one value or a range of values. By presenting the data of the physical condition related to the medicine taking and the corresponding index data to the user, the user can confirm the physical condition related to the medicine taking by referring to the index data to confirm the medicine taking effect, so that the medicine taking willingness of the patient can be further improved, and the medicine taking compliance of the patient can be further improved.
Specifically, the data presentation unit 104 may display, to the user, a trend graph showing the acquired medicine taking-related physical status data and the corresponding index data, in which, when there is a portion where the numerical difference between the medicine taking-related physical status data and the corresponding index data is smaller than a predetermined value or larger than the predetermined value, the portion is displayed so as to be distinguished from other portions of the medicine taking-related physical status data. For example, the display of the terminal device 1 displays a trend graph showing the medicine-taking-related physical condition data and the corresponding index data, and in the displayed trend graph, a portion of the trend line of the medicine-taking-related physical condition data which is significantly deviated from the index data is displayed in a manner of highlighting or giving a different color from the other portion, or a portion of the trend line of the medicine-taking-related physical condition data in the trend graph which is close to the index data is displayed in a manner of highlighting or giving a different color from the other portion. By displaying the portions significantly deviating from the index data or approaching the index data in a differentiated manner, the user can pay attention to the abnormal data or the ideal data, and the user can adjust the medicine taking.
In each of the embodiments including the present embodiment, the medicine-taking-related physical status data includes daily activity data itself related to medicine-taking of the user. The medicine-taking-related physical condition data may include data calculated based on daily activity data related to medicine-taking of the user, such as a sleep time period, an awake time period, and the like calculated from various kinds of measurement data of sleep related to medicine-taking of the user, or a total result of measurement results of blood glucose level and blood pressure related to medicine-taking of the user.
The daily activity data includes data related to at least one of sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure of the user. Of course, the daily activity data is not limited to the above-described types of data, and may be other data. Preferably, the daily activity data is data related to sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure of the user, thereby enabling a more accurate reference to be provided to the user. In the case where the daily activity data is data relating to sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure of the user, the physical condition relating to medicine taking may be data obtained by quantifying changes in sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure during a medicine taking period designated by the user, before and after the medicine taking, or during a medicine taking period of a different prescription.
According to the terminal device 1 of the present embodiment, by monitoring the data of the user regarding the physical condition in daily life, collecting and analyzing the data, the physical condition data regarding the medication is presented to the patient according to the instruction of the patient, so that the patient can refer to the trend, change, etc. of the physical condition value at the time of medication. Therefore, the patient's will of taking the drug can be improved, the patient's compliance with the drug can be improved, the complications which are common to metabolic disease patients such as apnea syndrome during sleep can be detected early, and early intervention treatment can be performed on the complications.
As shown in fig. 2, the medical health management system 10 according to the present embodiment includes a terminal device 2 used by a user and a server device 3. In fig. 1, only one terminal apparatus 2 is illustrated, but the medical health management system 1 may include a plurality of terminal apparatuses 2 used by respective users. The plurality of terminal apparatuses 2 are not limited to being used by one user each, and two or more terminal apparatuses 2 among the plurality of terminal apparatuses 2 may be used by one user. In fig. 1, only one server apparatus 3 is illustrated, but the server apparatus 3 is not limited to one, and a plurality of server apparatuses 3 may be appropriately provided according to the data load amount.
The terminal device 2 includes: a data acquisition unit 201 that acquires daily activity data, which is data of a user relating to physical conditions in daily life; a first data transmission unit 202 that transmits the daily activity data acquired by the data acquisition unit 201 to the server device 3; an instruction receiving unit 203 that receives an input of a predetermined instruction by a user; a request transmitting unit 204 that transmits, to the server apparatus 3, a request for acquiring medicine-taking-related physical status data, which is data obtained based on daily activity data related to medicine taking by the user, in accordance with the instruction of the user received by the instruction receiving unit 203; a first data receiving unit 205 that receives the medicine-taking-related physical status data from the server apparatus 3; and a data presentation unit 206 that presents the medicine taking-related physical status data received by the first data reception unit 205 to the user.
The server apparatus 3 includes: a second data receiving unit 301 that receives the daily activity data transmitted from the data transmitting unit 202 of the terminal device 2; a data storage unit 302 that stores the daily activity data received by the second data receiving unit 301 in association with the user; a request receiving unit 303 that receives a request for acquiring the medicine-taking-related physical condition data from the terminal apparatus 3; a data processing unit 304 that creates medicine-taking-related physical condition data based on the daily activity data stored in the data storage unit 302 in accordance with the acquisition request received by the request receiving unit 303; and a second data transmitting unit 305 for transmitting the medicine taking-related physical condition data created by the data processing unit 304 to the terminal device 2.
For example, the terminal device 2 may further include: a medication information reception unit that receives medication information input by a user; a medication information transmitting unit that transmits the medication information of the user accepted by the medication information accepting unit to the server device 3; an information request transmitting unit that transmits a request for acquiring the medicine taking information of the user to the server apparatus 3 in response to an instruction from the user; and an information receiving unit that receives the medication information of the user transmitted from the server apparatus 3. On the other hand, the server apparatus 3 further includes: a medication information receiving unit that receives medication information of a user from the terminal device 2; an information storage unit that stores the medication information of the user received by the medication information receiving unit; an information request receiving unit that receives a request for acquiring medicine-taking information from a user from the terminal device 2; and an information transmitting unit that transmits the medication information of the user to the terminal device 2 in response to the acquisition request.
When the terminal device 2 includes the medication information reception unit, the medication information transmission unit, the information request transmission unit, and the information reception unit, and the server device 3 includes the medication information reception unit, the information storage unit, the information request reception unit, and the information transmission unit, the terminal device 2 may further include a second data acquisition unit for acquiring data indicating the medication time of the user from the medication information of the user, the data presentation unit 206 of the terminal device 2 presents the acquired data indicating the medication time of the user to the user, the instruction reception unit 203 of the terminal device 2 may receive an input of an instruction by the user to acquire data obtained based on the daily activity data of the predetermined medication period based on the presented data indicating the medication time of the user, the request transmission unit 204 of the terminal device 2 may transmit an acquisition request for data obtained based on the daily activity data of the predetermined medication period to the server device 3 based on the instruction, the request receiving unit 303 of the server apparatus 3 receives the acquisition request from the terminal apparatus 3, the data processing unit 304 of the server apparatus 3 creates data based on the daily activity data of the predetermined medicine taking period based on the acquisition request, the second data transmitting unit 305 of the server apparatus 3 transmits the created data to the terminal apparatus 2, the first data receiving unit 205 of the terminal apparatus 2 receives the data from the server apparatus 3, and the data presenting unit 206 of the terminal apparatus 2 presents the data received by the first data receiving unit 205 to the user. Thus, the numerical value of the physical condition data and the change thereof during the prescribed medication period can be presented to the patient, and a more intuitive reference for the medication action can be provided to the patient. Therefore, the willingness of the patient to take medicine can be further improved, and the compliance of the patient to take medicine can be further improved.
The terminal device 2 may further include a second data acquiring unit that acquires data indicating the medication time of the user from the medication information of the user, the data presenting unit 206 of the terminal device 2 presents the acquired data indicating the medication time of the user to the user, the instruction receiving unit 203 of the terminal device 2 receives an input of an instruction for the user to acquire data obtained based on the daily activity data before and after the medication based on the presented data indicating the medication time of the user, the request transmitting unit 204 of the terminal device 2 transmits an acquisition request for data obtained based on the daily activity data before and after the medication to the server device 3 based on the instruction, the request receiving unit 303 of the server device 3 receives the acquisition request from the terminal device 3, the data processing unit 304 of the server device 3 creates data obtained based on the daily activity data before and after the medication based on the acquisition request, the second data transmitting unit 305 of the server device 3 transmits the created data to the terminal device 2, the first data receiving unit 205 of the terminal device 2 receives the data from the server device 3, and the data presenting unit 206 of the terminal device 2 presents the data received by the first data receiving unit 205 to the user. Therefore, the numerical change of the physical condition data before and after the medicine taking can be presented to the patient, and the more intuitive reference of the medicine taking action is provided for the patient. Therefore, the willingness of the patient to take medicine can be further improved, and the compliance of the patient to take medicine can be further improved.
The terminal device 2 may further include a second data acquiring unit for acquiring data indicating the prescription of the user and the medication time corresponding to the prescription from the medication information of the user, the data presenting unit 206 of the terminal device 2 may present the acquired data indicating the prescription of the user and the medication time corresponding to the prescription to the user, the instruction receiving unit 203 of the terminal device 2 may receive an input of an instruction from the user to acquire data obtained based on daily activity data during medication periods of a plurality of prescriptions, the data indicating the prescription of the user and the medication time corresponding to the prescription being presented, the user may take different prescriptions during medication periods of the respective prescriptions, and the request transmitting unit 204 of the terminal device 2 may transmit an acquisition request for data obtained based on daily activity data during medication periods of the plurality of prescriptions to the server device 3 based on the instruction, the request receiving unit 303 of the server apparatus 3 receives the acquisition request from the terminal apparatus 3, the data processing unit 304 of the server apparatus 3 creates data based on daily activity data during medication taking of a plurality of prescriptions based on the acquisition request, the second data transmitting unit 305 of the server apparatus 3 transmits the created data to the terminal apparatus 2, the first data receiving unit 205 of the terminal apparatus 2 receives the data from the server apparatus 3, and the data presenting unit 206 of the terminal apparatus 2 presents the data received by the first data receiving unit 205 to the user. Therefore, the numerical change of the physical condition data of different prescriptions during the taking period can be presented to the patient, and the more intuitive reference of the taking action of each prescription is provided for the patient. Therefore, the patient can know the prescription with better medicine taking effect, and the medicine taking willingness of the patient to the prescription with better medicine taking effect is improved, so that the medicine taking compliance of the patient is further improved.
In the present embodiment, the data acquisition section 201 can acquire daily activity data by receiving daily activity data manually input by a user. Alternatively, a wearable device worn by the user may measure daily activity data of the user, and the data acquisition unit 201 may acquire the daily activity data by receiving the daily activity data from the wearable device. Alternatively, the data acquisition unit 201 may acquire the result of the physical condition test performed by the user on the terminal device 1 as the daily activity data.
For example, the request transmitting unit 204 of the terminal device 2 may transmit the medicine taking-related physical condition data and the acquisition request of the index data corresponding to the medicine taking-related physical condition data to the server device 3 in accordance with the instruction of the user received by the instruction receiving unit 203, the request receiving unit 303 of the server device 3 may receive the acquisition request from the terminal device 3, the data processing unit 304 of the server device 3 may create the medicine taking-related physical condition data and acquire the corresponding index data in accordance with the acquisition request, the second data transmitting unit 305 of the server device 3 may transmit the created medicine taking-related physical condition data and the corresponding index data to the terminal device 2, the first data receiving unit 205 of the terminal device 2 may receive the data from the server device 3, and the data presenting unit 206 of the terminal device 2 may present the data received by the first data receiving unit 205 to the user.
The data storage unit 302 may perform anonymization processing on the stored daily activity data. Thus, the collected user data can be strictly managed, and the safety of the user data can be ensured. In order to further secure the data security, the data to be transmitted from the first data transmitter 202 to the second data receiver 301 may be encrypted, and/or the data to be transmitted from the second data transmitter 305 to the first data receiver 205 may be encrypted.
In addition, the medical health management system 10 may be used for medication administration. In addition, the medical health management system 10 may be used to detect complications in patients with metabolic disorders. In addition, the medical health management system 10 may be used to detect a precursor of dementia or depression in a patient with a metabolic disease.
According to the medical health management system 10 of the present embodiment, by monitoring the data of the user regarding the physical condition in daily life, collecting and analyzing the data, the physical condition data regarding the medication is presented to the patient according to the patient's instruction for the patient to refer to the trend, change, etc. of the physical condition value at the time of medication. Therefore, the patient's will of taking the drug can be improved, the patient's compliance with the drug can be improved, the complications which are common to metabolic disease patients such as apnea syndrome during sleep can be detected early, and early intervention treatment can be performed on the complications.
As shown in fig. 3, the medical health management method according to the present embodiment includes: a first data acquisition step S301 of acquiring daily activity data, which is data of a user relating to physical conditions in daily life; an instruction receiving step S302 of receiving an input of a predetermined instruction by a user; a second data acquisition step S303 of acquiring data on the daily activity data of the user regarding the medicine to be taken, that is, medicine-taking-related physical condition data, based on the received instruction of the user; and a first data presentation step S304 of presenting the acquired medication-related physical status data to the user.
For example, the medication-related physical condition data may include at least one of data obtained based on daily activity data during a prescribed medication period, data obtained based on daily activity data before and after medication, and data obtained based on daily activity data during medication periods of a plurality of prescriptions, the prescriptions taken by the user during the medication periods of the respective prescriptions being different.
When the medicine-taking-related physical condition data is data obtained based on the daily activity data of the predetermined medicine-taking period, the instruction receiving step S302 may receive an input of an instruction by the user to acquire data obtained based on the daily activity data of the predetermined medicine-taking period, the second data acquiring step S303 may acquire data obtained based on the daily activity data of the predetermined medicine-taking period based on the received instruction by the user, and the first data presenting step S304 may present the acquired data obtained based on the daily activity data of the predetermined medicine-taking period to the user. Thus, the numerical value of the physical condition data and the change thereof during the prescribed medication period can be presented to the patient, and a more intuitive reference for the medication action can be provided to the patient. Therefore, the willingness of the patient to take medicine can be further improved, and the compliance of the patient to take medicine can be further improved.
In the case where the medicine-taking-related physical condition data is data obtained based on the daily activity data before and after the medicine-taking, an input of an instruction by the user to acquire the data obtained based on the daily activity data before and after the medicine-taking is accepted in the instruction accepting step S302, data obtained based on the daily activity data before and after the medicine-taking is acquired in the second data acquiring step S303 based on the accepted instruction by the user, and the acquired data obtained based on the daily activity data before and after the medicine-taking is presented to the user in the first data presenting step S304. Therefore, the numerical change of the physical condition data before and after the medicine taking can be presented to the patient, and the more intuitive reference of the medicine taking action is provided for the patient. Therefore, the willingness of the patient to take medicine can be further improved, and the compliance of the patient to take medicine can be further improved.
For example, a medication time point may be specified by a user, and data obtained based on daily activity data of a prescribed time period before the medication time point (for example, the first 3 hours of the medication time point) and a prescribed time period after the medication time point (for example, the last 3 hours of the medication time point) may be presented to the user. The value of the predetermined time period may be set by default or may be arbitrarily set by the user. Alternatively, the user may specify the medication time point, and the user may be presented with data obtained based on daily activity data of a predetermined time before the medication time point (for example, a time 3 hours earlier than the medication time point) and a predetermined time after the medication time point (for example, a time 3 hours later than the medication time point). The predetermined time may be set by default or may be set arbitrarily by the user.
In addition, the medical health management method may further include: a third data acquisition step of acquiring data indicating the medicine taking time of the user from the medicine taking information of the user; and a second data presentation step of presenting the acquired data representing the medication times of the user to the user. Thus, in the instruction reception step S302, the user can instruct the acquisition of data obtained based on the daily activity data during the predetermined medicine taking period or data obtained based on the daily activity data before and after the medicine taking, based on the data showing the medicine taking time of the user.
In the case where the medication-related physical condition data is data obtained based on daily activity data during medication of a plurality of prescriptions, the medical health management method may further include: a third data acquisition step of acquiring data indicating a prescription of the user and a medication time corresponding to the prescription from the medication information of the user; and a second data presentation step of presenting the acquired data indicating the prescription of the user and the medication time corresponding to the prescription to the user, wherein in the instruction reception step S302, an input of an instruction by the user to acquire data obtained based on the daily activity data during the medication period of the plurality of prescriptions is received, based on the presented data indicating the prescription of the user and the medication time corresponding to the prescription, in the second data acquisition step S303, data obtained based on the daily activity data during the medication period of the plurality of prescriptions is acquired, based on the received instruction by the user, and in the first data presentation step S304, the acquired data obtained based on the daily activity data during the medication period of the plurality of prescriptions is presented to the user. Therefore, the numerical change of the physical condition data of different prescriptions during the taking period can be presented to the patient, and the more intuitive reference of the taking action of each prescription is provided for the patient. Therefore, the patient can know the prescription with better medicine taking effect, and the medicine taking willingness of the patient to the prescription with better medicine taking effect is improved, so that the medicine taking compliance of the patient is further improved.
In this example, for example, the user may be presented with different prescriptions that the user has taken and their corresponding taking time periods for the user to specify, and the user may be presented with data derived from daily activity data for the taking time period for one of the prescriptions specified by the user and data derived from daily activity data for the taking time period for another prescription specified by the user. In addition, the data obtained based on the daily activity data of the administration time periods of two prescriptions is not limited to the data obtained based on the daily activity data of the administration time periods of three or more prescriptions.
For example, the medical health management method according to the present embodiment may further include a first storage step of storing the daily activity data acquired in the first data acquisition step S301, and a second data acquisition step S303 of acquiring the medication-related physical condition data from the stored daily activity data in accordance with the received instruction of the user. Thus, the medical health management method according to the present embodiment can be applied to a scenario in which only the terminal device is used, and the patient can view data to be referred to using only the terminal device.
The medical health management method according to the present embodiment may further include a first data transmission step of transmitting the acquired daily activity data to the server apparatus, and the second data acquisition step S303 of transmitting a request for acquiring the medicine-taking-related physical condition data to the server apparatus in response to the received user instruction and acquiring the medicine-taking-related physical condition data from the server apparatus. Thus, the medical health management method according to the present embodiment can be applied to a scenario in which the server device and the terminal device are installed in cooperation, and the terminal device does not need to store a large amount of data of the user, so that the storage space of the terminal device can be saved. Further, since the daily activity data of the user is managed by the server device and the physical condition related to the medicine taking is analyzed and processed by the server device, the processing load of the terminal device can be reduced.
In the first data acquisition step S301, the daily activity data may be acquired by receiving daily activity data manually input by the user, or the daily activity data may be acquired by receiving the daily activity data from a wearable device worn by the user for measuring the daily activity data of the user, or the result of a test of the physical condition performed by the user at the terminal device may be acquired as the daily activity data.
In the case of acquiring the result of the test of the physical condition performed by the user at the terminal apparatus, for example, a symbol may be displayed on the display of the terminal apparatus
The "mountain", "woman", "pi", "a", "す", "Ω", "flying", and "〒" are combined with 9 numbers so that the user draws a symbol corresponding to the number of the symbol to be drawn with reference to the displayed combination, and the number of symbols that the user correctly answers within a predetermined time is acquired as a result of the test of the physical condition. The number required to draw a symbol may be a number displayed in the center of the screen of the display, or may be a number highlighted by a color different from that of other numbers, individually enlarged, enclosed by a frame, or the like. By performing the Digital Symbol Substitution Test (DSST) using the above-mentioned 9 symbols, the cognitive function of the user can be more comprehensively tested than in the conventional Digital Symbol Substitution Test (DSST), and more accurate test results can be obtained.
For example, the medicine-taking related physical status data and the index data corresponding to the medicine-taking related physical status data may be acquired in the second data acquisition step S303 in accordance with the received instruction of the user, and the acquired medicine-taking related physical status data and the index data corresponding to the medicine-taking related physical status data may be presented to the user in the first data presentation step S304. By presenting the data of the physical condition related to the medicine taking and the corresponding index data to the user, the user can confirm the physical condition related to the medicine taking by referring to the index data to confirm the medicine taking effect, so that the medicine taking willingness of the patient can be further improved, and the medicine taking compliance of the patient can be further improved.
Specifically, in the first data presentation step S304, a trend chart showing the acquired medicine taking-related physical status data and the corresponding index data may be displayed to the user, in which, in the case where there is a portion where the numerical difference between the medicine taking-related physical status data and the corresponding index data is smaller than a prescribed value or larger than a prescribed value, the portion is displayed in a manner distinguished from the other portion of the medicine taking-related physical status data. By displaying the portions significantly deviating from the index data or approaching the index data in a differentiated manner, the user can pay attention to the abnormal data or the ideal data, and the user can adjust the medicine taking.
The server device may store the daily activity data transmitted in the first data transmission step and perform anonymization processing on the stored daily activity data. Thus, the collected user data can be strictly managed, and the safety of the user data can be ensured. In addition, in order to further secure the security of the data, the data to be transmitted to the server apparatus in the first data transmission step may be encrypted, and/or the data acquired in the second data acquisition step S303 may be encrypted.
The medical health management method according to the present embodiment can be used for medication management. The medical health management method according to the present embodiment can be used for detecting complications of metabolic disease patients. The medical health management method of the present embodiment can be used for detecting a precursor of dementia or melancholia in a metabolic disease patient.
According to the medical health management method of the present embodiment, by monitoring the data of the user regarding the physical condition in daily life, collecting and analyzing the data, the physical condition data regarding the medication is presented to the patient according to the patient's instruction for the patient to refer to the trend, change, etc. of the physical condition value at the time of medication. Therefore, the patient's will of taking the drug can be improved, the patient's compliance with the drug can be improved, the complications which are common to metabolic disease patients such as apnea syndrome during sleep can be detected early, and early intervention treatment can be performed on the complications. In addition, the server device can analyze data acquired from the patient to discover the association between various parameters such as the change in the medication rate and the association with the quality of life, and can create ideas related to new drugs and new health care services.
As shown in fig. 7, the server device 4 according to the present embodiment includes: a data acquisition unit 401 that acquires daily activity data, which is data of a user regarding the physical condition of the user in daily life, from a terminal device of the user; a data storage unit 402 that stores the acquired daily activity data in association with the user; a request receiving unit 403 that receives, from a terminal device, a request for acquiring medicine-taking-related physical status data that is data obtained based on daily activity data relating to medicine taking by a user; a data processing unit 404 that creates medicine-taking-related physical condition data for presentation by the terminal device based on the stored daily activity data in accordance with the acquisition request; and a data transmitting unit 405 that transmits the created medicine taking-related physical condition data to the terminal device.
For example, the data acquisition unit 401 may receive daily activity data directly from the user's terminal device, or the data acquisition unit 401 may transmit a data transmission request to the user's terminal device and receive daily activity data from the terminal device.
The data storage unit 402 may perform anonymization processing on the stored daily activity data. Thus, the collected user data can be strictly managed, and the safety of the user data can be ensured.
According to the server apparatus 4 of the present embodiment, by monitoring the data on the physical condition of the user in daily life, collecting and analyzing the data, the physical condition data on the medication is presented to the patient according to the instruction of the patient, so that the patient can refer to the trend, change, and the like of the physical condition value at the time of medication. Therefore, the patient's will of taking the drug can be improved, the patient's compliance with the drug can be improved, the complications which are common to metabolic disease patients such as apnea syndrome during sleep can be detected early, and early intervention treatment can be performed on the complications.
Example 1
Fig. 4 shows a sequence diagram of the medical health management method according to embodiment 1. As shown in fig. 4, the medical health management method is applied to a medical health management system including a terminal device 2 and a server device 3. In example 1, the daily activity data is data related to the sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure of the user, and the medicine-taking-related physical condition data is data obtained by quantifying changes in the sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure of the user before and after taking medicine.
As shown in fig. 4, the medical health management method includes the following steps.
Step S401: the terminal device 2 acquires data on the sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure of the user.
Specifically, the user logs in an application installed in the terminal apparatus 2 using a user name and a password, and operates the application so that the terminal apparatus 2 acquires data on sleep, activity, heart rate, cognitive function, mental state, blood glucose level, and blood pressure of the user.
With respect to the data relating to sleep, the terminal apparatus 2 acquires (calculates) at least one of the following data: whether to sleep day or night; total sleep time (sleep duration (minutes)); deep sleep time (minutes); light sleep time (minutes); wake-up duration and number of awakenings; time to fall asleep and time to get up; the deep sleep ratio; the proportion of light sleep; the sobering ratio; the first 90 minutes deep sleep time (minutes); first 90 minutes light sleep duration (minutes); the first 90 minute wake period (minutes); recording sleep log time; a bed-in time of a target time of the sleep log; preparing a sleep time for a target time of a sleep log; how long the target time of the sleep log is asleep (minutes); a wake-up time of a target time of the sleep log; the time of getting out of bed of the target time of the sleep log; the halfway wake time (minutes) of the target time of the sleep log; the time required to fall asleep-the time to fall asleep (minutes); sleep efficiency ═ total sleep time/(wake-up time-time to fall asleep) × 100%; the length of time spent in bed is the time spent in bed-the time spent in bed (minutes).
Regarding the acquisition of the data related to sleep, whether daytime sleep or nighttime sleep, total sleep time, deep sleep time, light sleep time, wake-up time and number of wakeups, time to fall asleep and to get up, time to deep sleep in the first 90 minutes, time to light sleep in the first 90 minutes, time to wake up in the first 90 minutes may be measured by a wearable device (e.g., a smart bracelet or the like) worn by the user and the measured data is transmitted to the terminal apparatus 2. The terminal device 2 can calculate the deep sleep ratio, the light sleep ratio, the waking ratio, the time required to fall asleep, the sleep efficiency, and the length of time in bed from the measured data. The terminal device 2 may acquire, based on the input of the user, the sleep log entry time, the in-bed time of the target time of the sleep log, the preparation-to-sleep time of the target time of the sleep log, how long the target time of the sleep log is asleep, the wake-up time of the target time of the sleep log, the out-of-bed time of the target time of the sleep log, and the wakefulness time in the middle of the target time of the sleep log.
Regarding acquisition of data related to the activity amount and the heart rate, the activity amount and the heart rate may be measured by a wearable device (e.g., a smart band or the like) worn by the user and the measurement value may be transmitted to the terminal apparatus 2.
The acquisition of data relating to cognitive functions can be performed by a user (subject) by performing tests such as (r) the rayie auditory language learning test (RAVLT) and (r) the Digital Symbol Substitution Test (DSST) on the application program, and the results of the tests can be summed up and calculated.
RAVLT is a language memory evaluation method, and examines the achievement in the process of repeatedly memorizing 15 words. The method comprises the following steps: 1) immediate reproduction of 15 words of list a, 2) a series learning curve in which memory learning of list a is repeated 5 times, 3) an interference problem in which words of list B are memorized, and 4) delayed reproduction of list a. Specifically, first, the application reads the words of Listing A1 second at a time and lets the subject remember. The subject is asked to speak the remembered word. The application then reads the words of list a again, letting the subject say the word remembered. This procedure was tried 5 times. The application then reads the words of list B and lets the subject speak the word in question. After that, the subject was asked to immediately think of the words of list a. The number of words to be thought out at each trial is summed up.
In addition, in the DSST, 9 combinations of symbols and numerals are displayed on the top of the screen of the application program, and the subject draws a symbol corresponding to the numeral displayed in the center of the screen with reference to the displayed combinations. The number of symbols that can be correctly answered within 90 seconds is summed. For example, as shown in fig. 8, a symbol may be displayed on the upper part of the screen of the application program
"mountain", "woman", "pi", "a", "す", "Ω", "fly" and "〒" are combined with 9 numbers, and the subject draws a symbol corresponding to the number at the center of the screen with a hand, a stylus, a mouse or the like with reference to the displayed combination, and counts the number of symbols that the user can correctly answer within a predetermined time period of 90 seconds, for exampleRow summing.
With respect to acquisition of data relating to mental states, a Questionnaire such as PHQ-9(Patient Health questonaire) can be answered by a subject on an application program, and the results of the answers to the Questionnaire can be aggregated.
The acquisition of data on blood glucose level and blood pressure can be performed by allowing the user to view results measured by another device such as a blood glucose meter or a blood pressure meter and input the results to an application program.
The terminal device 2 may acquire data related to sleep, activity, heart rate, cognitive function, mental state, blood glucose level, or blood pressure and display the acquired data for the user to confirm.
In addition, since authentication matching, information interaction, and the like between the wearable device and the terminal apparatus 2 can be realized by existing techniques, detailed description thereof is omitted here.
Step S402: the terminal device 2 transmits the acquired data on the sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure of the user to the server device 3.
Preferably, the terminal device 2 encrypts the acquired data of the user concerning sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure, and transmits the encrypted data to the server device 3. The encryption method and the key may be set in advance in the terminal device 2 and the server device 3, or may be negotiated between the terminal device 2 and the server device 3 during transmission of encrypted data.
Step S403: the server apparatus 3 receives the data transmitted from the terminal apparatus 2, and stores the received data in association with the user.
Specifically, the server apparatus 3 receives the data transmitted from the terminal apparatus 2, identifies the user corresponding to the data, and stores the data in association with the identified user. Further, when the data received by the server apparatus 3 from the terminal apparatus 2 is encrypted data, the server apparatus 3 decrypts the data, specifies a user corresponding to the decrypted data, and stores the decrypted data in association with the specified user.
The server apparatus 3 may perform anonymization processing on the stored daily activity data to strictly manage the collected user data, thereby ensuring security of the user data. As for the anonymization method, there may be considered a perturbation and generalization method, a K anonymization and I diversity method, a distributed privacy protection, an effect of reducing a data mining result, a differential privacy protection method, and the like.
Step S404: the terminal device 2 receives an instruction from the user to acquire data obtained by quantifying changes in sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure before and after the user takes a medicine.
For example, the user may indicate this by clicking a button, icon, etc. in the application. Specifically, for example, the user can manually input the medication time point, set a predetermined time period before and after the medication time point or a predetermined time before and after the medication time point, and click a corresponding button, icon, or the like, thereby giving an instruction to acquire data obtained by quantifying changes in sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure in the predetermined time period before and after the medication time point or at the predetermined time. Alternatively, the user may specify the medication time point recorded in the medication log displayed by the application, set a predetermined time period before and after the medication time point or a predetermined time before and after the medication time point, and click a corresponding button, icon, or the like, thereby giving an instruction to acquire data in which changes in sleep, activity, heart rate, cognitive function, mental state, blood glucose level, and blood pressure in the predetermined time period before and after the medication time point of the user or at the predetermined time are quantified.
In order to avoid unauthorized access to the user data by another person, the terminal device 2 may request authentication when the instruction is input, and the instruction may be accepted as a valid instruction only when the authentication is successful. The authentication method may be to require the user to input a user name and a password again, or to require the user to input a predetermined special password.
Step S405: the terminal device 2 transmits, to the server device 3, an acquisition request for requesting the server device 3 to acquire data obtained by quantifying changes in sleep, activity, heart rate, cognitive function, mental state, blood glucose level, and blood pressure before and after the user takes a medicine, in accordance with the instruction of the user.
Specifically, the terminal device 2 specifies data corresponding to the instruction in accordance with the instruction of the user, and transmits an acquisition request for requesting the data corresponding to the instruction to the server device 3. For example, the user may instruct the terminal apparatus 2 to acquire data obtained by quantifying the change in sleep of the user before and after taking medicine by clicking a button, an icon, or the like in the application program, and the terminal apparatus 2 transmits an acquisition request for requesting acquisition of data obtained by quantifying the change in sleep of the user before and after taking medicine to the server apparatus 3 in accordance with the instruction.
Step S406: upon receiving the acquisition request, the server apparatus 3 acquires data obtained by quantifying changes in sleep, activity, heart rate, cognitive function, mental state, blood glucose level, and blood pressure before and after the user takes a medicine, from the stored data.
Specifically, the server apparatus 3 may calculate data obtained by quantifying changes in sleep, activity, heart rate, cognitive function, mental state, blood glucose level, and blood pressure before and after the user takes the medicine, based on the stored data relating to the user, upon receiving the acquisition request. For example, the server apparatus 3 calculates data obtained by quantifying a change in sleep before and after the medicine is taken by the user from the stored data on sleep of the user after receiving a request for obtaining the data obtained by quantifying the change in sleep before and after the medicine is taken by the user.
Step S407: the server device 3 transmits the acquired data to the terminal device 2.
Preferably, the server device 3 encrypts the acquired data and transmits the encrypted data to the terminal device 2. The encryption method and the key may be set in advance in the terminal device 2 and the server device 3, or may be negotiated between the terminal device 2 and the server device 3 during transmission of encrypted data.
Step S408: the terminal device 2 presents the data to the user after receiving the transmitted data.
For example, the terminal device 2 may produce, upon receiving the transmitted data, picture data and/or audio data based on the data, and reproduce the picture data and/or audio data through a display and/or a speaker for the user to present the data. When the data received by the terminal apparatus 2 from the server apparatus 3 is encrypted data, the terminal apparatus 2 decrypts the data and creates screen data and/or audio data based on the data.
It should be noted that although the data of the physical condition related to the medicine taking is described by taking, as an example, data obtained by quantifying changes in sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure of the user before and after the medicine taking, those skilled in the art will appreciate that the present disclosure should not be limited thereto. In fact, the user can flexibly set the medicine taking related physical condition data according to personal preference and/or practical application scenes. For example, the user may record a medicine taking record and a life record (drinking/eating life) on the application program, and the correlation between the medicine taking frequency and the index values of sleep, activity, heart rate, cognitive function, mental state, blood glucose level, and blood pressure is presented to the user, so that the medicine taking will of the patient is improved, and the compliance with the medicine taking is improved. For example, the medication-related physical status data may be data obtained by quantifying changes with time of sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure in a medication period specified by the user to show the user the correlation between the time of medication and the changes with time of sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure, or the medication-related physical status data may be data obtained by quantifying changes with time of sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure in medication periods of different prescriptions specified by the user to show the user the correlation between the prescription and the changes with time of sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure.
The terminal device 2 may determine whether or not the current time is the medicine taking time of the user based on a medicine taking log registered by the user or an uploaded medicine taking prescription, and may remind the user to take medicine when the current time is determined to be the medicine taking time of the user.
And rewards can be given according to the sleeping record, the synchronous sleeping, the card punching for taking medicine, the evaluation and the like of the user. For example, points are issued for sleep recording, synchronized sleep, card taking, evaluation, etc. by the user, and substantial rewards are given if the points meet the specified requirements.
In this way, by monitoring the data on the physical condition of the user in daily life, collecting and analyzing the data, and presenting the physical condition data on the medication to the patient according to the instruction of the patient so that the patient can refer to the trend, change, and the like of the physical condition value at the time of medication, the medical health management method according to embodiment 1 can improve the medication will of the patient to improve the medication compliance of the patient, can detect early complications that are common to patients with metabolic diseases such as apnea syndrome at sleep and the like to perform early intervention treatment on the complications, and can detect a precursor to dementia and depression at high risk in patients with metabolic diseases to perform early intervention treatment on the complications.
In addition, the server device can analyze data acquired from the patient to discover the association between various parameters such as the change in the medication rate and the association with the quality of life, and can create ideas related to new drugs and new health care services. Example 2
Fig. 5 is a block diagram of a terminal apparatus 800 according to embodiment 2. For example, the terminal apparatus 800 may be a mobile phone, a computer, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like.
Referring to fig. 5, terminal apparatus 800 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816.
The processing component 802 generally controls overall operations of the terminal device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operations at the terminal apparatus 800. Examples of such data include instructions for any application or method operating on terminal device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The multimedia component 808 includes a screen providing an output interface between the terminal device 800 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. When the terminal apparatus 800 is in an operation mode, such as a photographing mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive an external audio signal when the terminal apparatus 800 is in an operation mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.
The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor component 814 includes one or more sensors for providing various aspects of state assessment for the terminal device 800. For example, sensor assembly 814 may detect an open/closed status of terminal apparatus 800, the relative positioning of components, such as a display and keypad of terminal apparatus 800, sensor assembly 814 may also detect a change in position of terminal apparatus 800 or a component of terminal apparatus 800, the presence or absence of user contact with terminal apparatus 800, orientation or acceleration/deceleration of terminal apparatus 800, and a change in temperature of terminal apparatus 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
In an exemplary embodiment, the terminal apparatus 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 804, is also provided that includes computer program instructions executable by the processor 820 of the terminal device 800 to perform all or a portion of the steps of the method described above.
Fig. 6 is a block diagram of server apparatus 1900 according to embodiment 2. For example, the apparatus 1900 may be provided as a server. Referring to FIG. 6, server device 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the above-described method.
The server device 1900 may further include a power component 1926 configured to perform power management of the server device 1900, a wired or wireless network interface 1950 configured to connect the server device 1900 to a network, and an input/output (I/O) interface 1958. The server device 1900 may operate based on an operating system stored in memory 1932, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 1932, is also provided that includes computer program instructions that are executable by the processing component 1922 of the server device 1900 to perform some of the steps of the method described above.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (17)
1. A medical health management method, comprising:
a first data acquisition step of acquiring daily activity data, which is data of a user relating to physical conditions in daily life;
an instruction receiving step of receiving an input of a predetermined instruction by the user;
a second data acquisition step of acquiring, in accordance with the received instruction of the user, medicine-taking-related physical status data which is data related to medicine taking by the user and which is obtained based on the daily activity data; and
a first data presentation step of presenting the acquired medication-related physical condition data to the user.
2. The medical health management method according to claim 1,
in the instruction receiving step, an input of an instruction by the user to acquire data obtained based on the daily activity data during a predetermined medication period is received,
in the second data acquisition step, the data obtained based on the daily activity data during the predetermined medication period is acquired in accordance with the received instruction from the user,
in the first data presentation step, the acquired data based on the daily activity data during the prescribed medication period is presented to the user.
3. The medical health management method according to claim 1,
in the instruction receiving step, an input of an instruction by the user to acquire data obtained based on the daily activity data before and after the medicine is taken is received,
in the second data acquisition step, the data obtained based on the daily activity data before and after taking a medicine is acquired in accordance with the received instruction of the user,
in the first data presentation step, the acquired data based on the daily activity data before and after taking a medicine is presented to the user.
4. The medical health management method of claim 1, further comprising:
a third data acquisition step of acquiring data indicating a prescription of the user and a medication time corresponding to the prescription from the medication information of the user; and
a second data presentation step of presenting the acquired data indicating the prescription of the user and the medication time corresponding to the prescription to the user,
in the instruction receiving step, an input of an instruction by the user to acquire data obtained based on the daily activity data during a plurality of prescription medication periods in which the user takes different prescriptions is received, the instruction being based on data representing the prescription of the user and the medication time corresponding to the prescription,
in the second data acquisition step, the data obtained based on the daily activity data during the administration of the plurality of prescriptions is acquired in accordance with the received instruction of the user,
in the first data presentation step, the acquired data based on the daily activity data during the taking of the medication by the plurality of prescriptions is presented to the user.
5. The medical health management method according to claim 1,
further comprising a first data transmission step of transmitting the acquired daily activity data to a server apparatus,
in the second data acquisition step, an acquisition request of the medicine taking-related physical status data is transmitted to the server apparatus in accordance with the received instruction of the user, and the medicine taking-related physical status data is acquired from the server apparatus.
6. The medical health management method according to claim 1,
in the first data acquisition step: receiving the daily activity data manually input by the user, or receiving the daily activity data from a wearable device worn by the user for measuring the daily activity data of the user, or acquiring a result of a test of a physical condition performed by the user at a terminal device as the daily activity data.
7. The medical health management method according to claim 6,
in the first data acquisition step, a combination of a number and a plurality of symbols selected from a specific symbol group is displayed on a display of a terminal device, so that the user draws a symbol corresponding to the number of the symbols required to be drawn with reference to the displayed combination, and the number of symbols to be correctly answered by the user within a predetermined time is acquired as a result of the test of the physical condition.
8. The medical health management method according to claim 1,
in the second data acquisition step, the medicine-taking-related physical condition data and the index data corresponding to the medicine-taking-related physical condition data are acquired in accordance with the received instruction of the user,
in the first data presentation step, the acquired medicine-taking-related physical condition data and index data corresponding to the medicine-taking-related physical condition data are presented to the user.
9. The medical health management method according to claim 8,
in the first data presentation step, a trend graph showing the acquired medicine taking-related physical status data and the corresponding index data is displayed to the user, and in the trend graph, in the case where there is a portion where a numerical difference between the medicine taking-related physical status data and the corresponding index data is smaller than a prescribed value or larger than a prescribed value, the portion is displayed in a manner of being distinguished from other portions of the medicine taking-related physical status data.
10. The medical health management method according to claim 1,
the daily activity data includes data relating to at least one of sleep, activity level, heart rate, cognitive function, mental state, blood glucose level, and blood pressure of the user.
11. A non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method of any of claims 1 to 10.
12. A terminal device, comprising:
a first data acquisition unit that acquires daily activity data that is data of a user regarding a physical condition in daily life;
an instruction receiving unit that receives an input of a predetermined instruction by the user;
a second data acquisition unit that acquires, in accordance with the received instruction of the user, medicine-taking-related physical status data that is data related to medicine taking by the user and that is obtained based on the daily activity data; and
a data presentation section that presents the acquired medicine taking-related physical status data to the user.
13. A server apparatus, comprising:
a data acquisition unit that acquires daily activity data, which is data of a user regarding a physical condition in daily life, from a terminal device of the user;
a data storage unit that stores the acquired daily activity data in association with the user;
a request receiving unit that receives, from the terminal device, a request for acquiring medicine-taking-related physical status data that is data related to medicine taking by the user and obtained based on the daily activity data;
a data processing unit that creates the medicine taking-related physical condition data for presentation by the terminal device based on the stored daily activity data in accordance with the acquisition request; and
a data transmitting unit that transmits the created medicine taking-related physical condition data to the terminal device.
14. A medical health management system is characterized by comprising a terminal device and a server device,
the terminal device includes:
a data acquisition unit that acquires daily activity data, which is data of a user relating to a physical condition in daily life;
a first data transmission unit that transmits the acquired daily activity data to the server device;
an instruction receiving unit that receives an input of a predetermined instruction by the user;
a request transmitting unit that transmits, to the server apparatus, a request for acquiring medicine-taking-related physical status data, which is data related to medicine taking by the user and obtained based on the daily activity data, in accordance with the received instruction of the user;
a first data receiving unit that receives the medication-related physical status data from the server apparatus; and
a data presentation section that presents the received medicine taking-related physical status data to the user,
the server apparatus includes:
a second data receiving unit that receives the daily activity data transmitted from the terminal device;
a data storage unit that stores the received daily activity data in association with the user;
a request receiving unit that receives a request for acquiring the medicine-taking-related physical condition data from the terminal device;
a data processing unit that creates the medication-related physical condition data based on the stored daily activity data in accordance with the acquisition request; and
a second data transmitting unit that transmits the created medicine-taking-related physical condition data to the terminal device.
15. The medical health management system of claim 14,
the medical health management system is used for medicine taking management.
16. The medical health management system of claim 14,
the medical health management system is used for detecting complications of metabolic disease patients.
17. The medical health management system of claim 14,
the medical health management system is used for detecting the precursor of dementia or melancholia of a metabolic disease patient.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111574057.9A CN114242200A (en) | 2021-12-21 | 2021-12-21 | Terminal, server device, medical health management system, medical health management method, and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111574057.9A CN114242200A (en) | 2021-12-21 | 2021-12-21 | Terminal, server device, medical health management system, medical health management method, and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114242200A true CN114242200A (en) | 2022-03-25 |
Family
ID=80760714
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111574057.9A Pending CN114242200A (en) | 2021-12-21 | 2021-12-21 | Terminal, server device, medical health management system, medical health management method, and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114242200A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109106344A (en) * | 2018-09-12 | 2019-01-01 | 台州云海医疗科技有限公司 | The Domestic health-care detection device for having medication management function |
| CN109994181A (en) * | 2019-04-16 | 2019-07-09 | 山东大学齐鲁医院 | A kind of diabetes data management-control method, apparatus and system suitable for gerontal patient |
| CN111899874A (en) * | 2020-07-17 | 2020-11-06 | 上海聚音信息科技有限公司 | Health management system and method based on user model |
| CN112749321A (en) * | 2019-10-31 | 2021-05-04 | 阿里巴巴集团控股有限公司 | Data processing method, client, server, system and storage medium |
| CN112768088A (en) * | 2021-03-22 | 2021-05-07 | 合肥巧士健康科技有限责任公司 | Public health management system based on medication behavior supervision of chronic disease patient |
-
2021
- 2021-12-21 CN CN202111574057.9A patent/CN114242200A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109106344A (en) * | 2018-09-12 | 2019-01-01 | 台州云海医疗科技有限公司 | The Domestic health-care detection device for having medication management function |
| CN109994181A (en) * | 2019-04-16 | 2019-07-09 | 山东大学齐鲁医院 | A kind of diabetes data management-control method, apparatus and system suitable for gerontal patient |
| CN112749321A (en) * | 2019-10-31 | 2021-05-04 | 阿里巴巴集团控股有限公司 | Data processing method, client, server, system and storage medium |
| CN111899874A (en) * | 2020-07-17 | 2020-11-06 | 上海聚音信息科技有限公司 | Health management system and method based on user model |
| CN112768088A (en) * | 2021-03-22 | 2021-05-07 | 合肥巧士健康科技有限责任公司 | Public health management system based on medication behavior supervision of chronic disease patient |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6977016B2 (en) | Remote monitoring of sample measurement | |
| US20220192609A1 (en) | Remote monitoring of analyte measurements | |
| US10652504B2 (en) | Simple video communication platform | |
| RU2712819C2 (en) | Medical bracelet standard | |
| CN104850995B (en) | Operation execution method and device | |
| US20210272672A1 (en) | Personalized pain management method, device and computer program | |
| US20150221196A1 (en) | Method and Apparatus for Facilitating the Management of Health and Security | |
| JP2024041931A (en) | EEG data analysis system, information processing terminal, electronic device, and information presentation method for dementia testing | |
| KR20160061004A (en) | Patient management system and method | |
| CN114242200A (en) | Terminal, server device, medical health management system, medical health management method, and storage medium | |
| WO2014105782A1 (en) | Context dependent application/event activation | |
| CA3052732C (en) | Workflow engine for healthcare management of a patient |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220325 |