CN114300080A - Data acquisition and analysis system for children epilepsy Dravet syndrome - Google Patents
Data acquisition and analysis system for children epilepsy Dravet syndrome Download PDFInfo
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Abstract
The invention discloses a data acquisition and analysis system for children epilepsy Dravet syndrome, which comprises patient data acquisition equipment, a patient end, a central server, a doctor end and a relative end, wherein the patient data acquisition equipment is connected with the patient end to upload data information of a patient acquired in real time to the patient end, the patient end and a central server connecting piece are used for receiving the data information of the patient and uploading the data information of the patient to the central server, and the doctor end and the relative end are connected with the central server to receive the data information of the patient in the central server. The invention replaces the original complicated situation of recording the patient data by paper by utilizing intelligent electronic equipment and a system, can backup and retain the patient data for a long time, and can compare, share and review the data.
Description
Technical Field
The invention relates to a data acquisition and analysis system, in particular to a data acquisition and analysis system for epilepsy Dravet syndrome of children, belonging to the field of medical auxiliary equipment.
Background
Dravet Syndrome (DS), formerly known as Severe Myoclonic Epilepsy (SMEI) in infants, is a developmental and epileptic encephalopathy that manifests symptoms during infancy. The prevalence rate of the epilepsy is 1/40000-1/20000, and accounts for 8% of the epilepsy of infants within 3 years old. Dravet syndrome is a heat-sensitive epileptic encephalopathy of childhood onset, usually has poor therapeutic response to antiepileptic drugs, and aims at alleviating epileptic seizures and minimizing status epilepticus at present. In 2019, a study by professor zeruminants on ketogenic diets to treat Dravet syndrome issued, indicating that ketogenic diets are a safe and effective alternative to treating Dravet syndrome, and have many advantages, including rapid onset of action, efficacy in more than half of patients, and tolerable adverse effects. Thus, ketogenic diets may be recommended as an early treatment for drug-resistant Dravet syndrome.
At present, the traditional paper is mainly adopted to record the morbidity data of the sick children and the conventional medicine, and visual data cannot be formed for doctors to make medical judgment. There is therefore a need to develop a system for data acquisition of Dravet syndrome, a rare disease epilepsy in children.
Disclosure of Invention
The invention aims to provide a data acquisition and analysis system for children epilepsy Dravet syndrome, which realizes automatic acquisition and analysis of data of children epilepsy Dravet syndrome.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a data acquisition and analysis system for children epilepsy Dravet syndrome is characterized in that: contain patient data acquisition equipment, patient end, central server, doctor end and relative end, patient data acquisition equipment is connected with patient end and uploads patient's data information who gathers in real time to patient end, and patient end and central server connecting piece receipt patient's data information upload to central server in, doctor end and relative end are connected with central server and are used for receiving patient's in the central server data information.
Further, patient data acquisition equipment adopts intelligent bracelet, and intelligent bracelet possesses rhythm of the heart monitoring, blood pressure monitoring, current ambient temperature monitoring, body temperature monitoring, energy consumption, sleep monitor and GPS locate function, and the adoption polymer lithium cell of intelligent bracelet and time of endurance are greater than 7 days, and the completion time of charging is in 2-3 hours, waterproof grade IP 67.
Further, built-in low-power consumption bluetooth 4.0 module of intelligence bracelet and patient end wireless connection, patient end, doctor end and relative end deploy supporting APP.
Furthermore, the matched APP comprises a user module, a patient data module, an attack data module, a medication data module, a ketogenic diet module and a data summarization module;
the user module is used for login verification of different user types and distributing corresponding user rights;
the patient data module is used for setting patient information and recording the data information of the patient;
the attack data module is used for detecting the change of the vital signs of the patient, sending the change to the relative end and the doctor end and sending a prompt;
the medicine taking data module is used for monitoring the medicine taking effect of the patient;
the reminding function module is used for configuring a specific time plan for the patient to take the medicine and treat the medicine by the relative account;
and the data summarization module is used for summarizing various types of patient data to the central server.
Further, the users of the user module are divided into three types, namely, patients, relatives and doctors, and the three types of users are distributed with different system function authorities;
the patient is the subject of the generation of the data;
the relatives can receive the detection data and the prompt at the first time and can check the current body data information of the patient in real time;
the doctor is responsible for reviewing the data of the patient, proposing medication advice or adjusting medication, and recording in the system;
the working process of the user module is as follows:
the user uses the mobile phone number and the verification code through the matched APP, and selects the user type to quickly register the system account;
binding a system account with a WeChat account, and directly logging in by using a micro signal;
and then fill in basic information to allow the doctor to better understand the family membership of the patient.
Further, the working process of the patient data module is as follows:
adding basic information of a patient in a patient data module of a matched APP by the parent account, wherein the basic information of the patient comprises the name, the date of birth, the sex, the identification number, the date of first attack and the region of the patient;
the identity card number is used as the unique identity of the patient, when the identity card number is added by mistake by other account numbers, the parent account number carries out retrieval application by verifying the name of the patient, the identity card number of the patient, the front and back photos of the identity card of the patient and the number of the contact mobile phone of the patient, and the central server carries out manual examination on retrieval application information and completes the transfer of the data of the patient;
the patient data module monitors vital sign data of a patient in real time, the patient data module collects weight data of the patient in sequence every day, the weight data is associated with a measurement date, and weight curve graphs of day, month, quarter and year are generated.
Further, the attack data module works as follows:
the patient breaks out the epileptic disease, the data acquisition equipment monitors the change of the vital sign of the patient, uploads the data information in the continuous seizure period to the central server, and the central server feeds the data information back to the relative end and the doctor end which are associated with the patient end and sends out a prompt;
reminding a patient to actively close at a parent end, wherein a reminding closing mode adopts touch screen clicking and voice control, reminding is carried out at a doctor end in a message notification mode, and reminding is respectively sent to the doctor end at the starting time and the ending time of the attack of the patient;
after the patient is completely attacked, the relative end acquires the patient information acquired by the data acquisition equipment during the attack period of the patient to construct an attack data set.
Further, the medication data module comprises daily medication, emergency medication, ketogenic diet and other treatments;
the data of the first-aid medicine and other treatments are common with the data of the medicine added during the attack, and the data of the medicine added during the attack can be reacted in the two columns;
daily medication data must be listed in a mode of a universal name of the medicine, and the medicine data is added in advance in the background;
in the list of daily medication and emergency medication, the dosage of certain medicines is calculated in a daily unit, and the dosage is marked by arrows and character colors to show the daily variation of the dosage; the identification rule is: red text and red rising arrows represent yesterday increase in dosage; the green characters and the green descending arrow represent that the dosage is reduced yesterday; the black default characters have no arrows and represent that the dosage is not changed; and the taking detail module lists the taking conditions of various medicines at each time point of the day according to time, and performs the difference change of the marked dose according to the color rule.
Further, the working process of the reminding function module is as follows:
at the set time, the matched APP gives out a prompt to remind relatives or patients of things needing to be done at the corresponding time; the data of the reminding event is synchronized to the patient data acquisition equipment, and the patient data acquisition equipment also generates a corresponding reminding event; closing the reminding event, and closing by using interface operation or closing by using voice control; a plurality of reminding data sets can be added, and a reminding list can be edited at any time.
Further, the data summarization module works as follows:
after all kinds of patient data are collected to the server, the data can dynamically display various curve graphs according to the set chart function, and the data are conveniently and directly shown to a doctor in charge for checking during a doctor visit;
the chart function is realized based on a Baidu Echart open source project, and a curve chart, a histogram, a pie chart and a hot spot chart are used;
the data items to be presented include: body weight profile, cognitive assessment, motor assessment, verbal assessment, time to onset and dosage;
and the names of various manufacturers who take the medicines, the daily dose, other treatment modes and the statistics information of the raw ketone food consumption in daily medication are counted, so that doctors are conveniently and comprehensively investigated.
Compared with the prior art, the invention has the following advantages and effects:
1. the invention replaces the original complicated situation of recording the patient data by paper by utilizing intelligent electronic equipment and a system, can backup and retain the patient data for a long time, and can carry out curve comparison, sharing and rechecking on the data; according to the invention, the data information of the disease attack time, the weight change of the patient, the historical medication of the patient, the ketogenic diet and the like of the patient can be rapidly recorded in detail, so that a doctor in charge can pertinently provide medication advice according to various data changes of the patient to prevent and reduce the attack times;
2. due to the introduction of the intelligent bracelet, when a patient catches an epilepsia, related personnel can be quickly positioned and notified, and the death rate of the patient is reduced; accurate acquisition of patient counts also provides a large data base for clinical trials of such rare diseases.
Drawings
Fig. 1 is a schematic block diagram of a data acquisition and analysis system for children epilepsy Dravet syndrome according to the present invention.
FIG. 2 is a functional flow diagram of the APP of the present invention.
Detailed Description
To elaborate on technical solutions adopted by the present invention to achieve predetermined technical objects, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, it is obvious that the described embodiments are only partial embodiments of the present invention, not all embodiments, and technical means or technical features in the embodiments of the present invention may be replaced without creative efforts, and the present invention will be described in detail below with reference to the drawings and in conjunction with the embodiments.
As shown in fig. 1, the data acquisition and analysis system for children epilepsy Dravet syndrome of the present invention includes a patient data acquisition device, a patient end, a central server, a doctor end and a relative end, wherein the patient data acquisition device is connected with the patient end to upload data information of a patient acquired in real time to the patient end, the patient end and a central server connecting part receive data information of the patient and upload the data information to the central server, and the doctor end and the relative end are connected with the central server to receive data information of the patient in the central server. The patient end, the doctor end and the relative end are commonly used intelligent mobile terminals, such as a smart phone, a tablet computer and the like.
Patient data acquisition equipment adopts intelligent bracelet, because infant's time of onset is unfixed, and intelligent bracelet is especially important as the portable equipment that can monitor human data often. Through intelligent bracelet, the user can take notes real-time data such as exercise, sleep, part still have diet in daily life to with these data and cell-phone, tie etc. synchronous, play the effect of guiding healthy life through data. The intelligent bracelet has the functions of heart rate monitoring, blood pressure monitoring, current environment temperature monitoring, body temperature monitoring, energy consumption, sleep monitoring and GPS positioning, and has the advantages that the endurance time is longer than 7 days and the charging completion time is required to be completed within 2-3 hours for ensuring the continuity of monitoring. The environment uncertainty of the sick children is that the sick children need to be waterproof and fall-proof, and the waterproof grade is IP 67.
The built-in low-power consumption bluetooth 4.0 module of intelligence bracelet and patient end wireless connection, patient end, doctor end and the supporting APP of relative end deployment.
As shown in fig. 2, the APP kit includes a user module, a patient data module, an episode data module, a medication data module, a ketogenic diet module, and a data summarization module; the data information of the patient is fed back instantly, the data of the patient is sent to the mobile phone of the parent and the mobile phone of the doctor in charge, the data can be researched, and different medication orders are provided according to different conditions of each patient.
And the user module is used for login verification of different user types and distributing corresponding user rights.
The users of the user module are divided into three types, namely patients, relatives and doctors, and the three types of users are distributed with different system function authorities;
the patient is the subject of the generation of the data; the relatives can receive the detection data and the prompt at the first time and can check the current body data information of the patient in real time; the doctor is responsible for reviewing the data of the patient, proposing medication advice or adjusting medication, and recording in the system;
the working process of the user module is as follows:
the user uses the mobile phone number and the verification code through the matched APP, and selects the user type to quickly register the system account; binding a system account with a WeChat account, and directly logging in by using a micro signal; and then fill in basic information (name, relationship with the patient, family address, year and month of birth, whether family medical history exists) so as to enable doctors to better know the family member condition of the patient.
And the patient data module is used for setting the patient information and recording the data information of the patient.
The parent account adds the basic information of the patient in the patient data module of the matched APP, one parent account can add the information of a plurality of patients, but in order to prevent abuse of the system, the upper limit of the number of the patient information which can be added at most is limited to 5, and the basic information of the patient after the binding is added cannot be changed. The basic information of the patient comprises the name, the date of birth, the sex, the identification number, the date of first onset and the region.
The identity card number is used as the unique identity of the patient, when the identity card number is added by mistake by other account numbers, the parent account number carries out retrieval application by verifying the name of the patient, the identity card number of the patient, the front and back photos of the identity card of the patient and the number of the contact mobile phone of the patient, and the central server carries out manual examination on retrieval application information and completes the transfer of the data of the patient; the patient vital sign data transmitted to the server by the intelligent bracelet is forbidden to be edited and deleted in the system, and all personnel can only check, preview and compare.
The patient data module monitors vital sign data of a patient in real time, the patient data module collects weight data of the patient in sequence every day, the weight data is associated with a measurement date, and weight curve graphs of day, month, quarter and year are generated.
And the attack data module is used for detecting the change of the vital signs of the patient, sending the change to the relative end and the doctor end and sending out a prompt.
The patient breaks out the epileptic disease suddenly, and data acquisition equipment monitors the vital sign change of the patient, uploads the data information in the continuous seizure period to the central server, and the central server feeds the data information back to the relative end and the doctor end which are associated with the patient end, and sends out a prompt by utilizing the authorized function of the smart phone.
The reminding function needs to be actively closed at the relative end, and the reminding closing mode adopts touch screen clicking and voice control, for example: and closing the morbidity reminding, and closing the current reminding after the intelligent APP client receives the voice. The reminding function is used for reminding the doctor end in a message informing mode, the starting time and the ending time of the attack of the patient are respectively sent to the doctor end, and the doctor in charge can review the data during the attack when the doctor is available.
After the patient is completely attacked, the relative end acquires the patient information acquired by the data acquisition equipment during the attack period of the patient to construct an attack data set. The relatives make detailed additions of seizure information as a general judgment of the present data set. Seizure data records need to contain the following data:
(1) start time: automatic filling, manual correction and format of the system: year, month, day, hour, minute and second;
(2) end time: automatic filling and manual correction of the system;
(3) duration: automatically calculating and manually correcting the time by subtracting the starting time from the ending time;
(4) the attack site: at home, at school, out, and manually filling in other places;
(5) longitude and latitude coordinates of the site of attack: identifying by accessing a high-grade/Baidu map;
(6) the number of times of the serial transmission: manual fill, unit: secondly;
(7) description of the situation: mainly describes the condition of mode outbreak, and the number of words is not limited;
(8) possible cause analysis (multiple selection): ambient overheating (ambient temperature at the time of system auto fill), hyperthermia (average body temperature during system auto fill episode), infection (if so, symptom improvement), other causes (custom fill)
(9) The family first-aid medicine: and manually adding and selecting, namely selecting the commonly used medicines which are already added in the background, and recording the names of the medicines used at the time and the dosage to be taken.
(10) The first-aid medicine in hospitals: more similarly to the above-mentioned function, the selection is manually added, the commonly used medicines which are already added in the background are selected, and the name of the medicine used at that time and the dosage are recorded. If the first-aid treatment is not carried out in the hospital, filling is not needed.
(11) Other treatments: this data needs to be recorded according to the real situation, if not, filling-in is not needed. The relevant data includes: treatment (yes/no), treatment start time (approximate time, accurate to hour/minute), treatment end time (approximate time, accurate to hour/minute), other treatments (if other special treatment modes exist, filling is needed, multi-line input is carried out), and attack stopping (single selection, non-stopping/stopping) is used for identifying whether other treatments have effects;
after the fields are filled in, clicking and storing are carried out, a new seizure record is generated after system data verification is carried out, and all seizure data of the patient can be seen by related personnel (elders/doctors) in the seizure history column.
And the medicine taking data module is used for monitoring the medicine taking effect of the patient.
The medication is an important basis for monitoring the medication effect of a patient, and during the period that the patient does not suffer from diseases, the medication and treatment condition of the patient also need to be recorded in detail, and the dosage of the medicine is changed early to prevent the emergency of epilepsy. The medication data module comprises daily medication, emergency medication, ketogenic diet and other treatments; the contents of the relevant fields of the four groups of modules are similar, and only the grouped view is performed on the purpose.
The data of the first-aid medicine and other treatments are common with the data of the medicine added during the attack, and the data of the medicine added during the attack can be reacted in the two columns;
daily medication data must be listed in a mode of a universal name of the medicine, and the medicine data is added in advance in the background; the fields must contain:
(1) and (4) classifying medication: daily medicine, emergency medicine, ketogenic diet, and other treatments.
(2) The content in the list is not identical depending on the selected item.
(2.1) when daily medication and emergency medication are selected:
a) selecting/inputting a drug universal name;
b) select/input drug name: b and a are relationships of the associated data;
c) listing the specifications and manufacturer data of the selected medicines;
d) the taking dosage is as follows: automatically filling the dosage specified by the manufacturer;
e) the taking time is as follows: the system defaults to the current time and can modify the current time by itself;
f) taking remarks: recording whether a special event occurs when the medicine is taken currently.
(2.2) when selecting a ketogenic diet, the following are recorded:
a) food name: recording the common name of the food;
b) the edible weight is as follows: the unit g;
c) automatically displaying the calculated fat content in grams/100 grams;
d) the eating time is as follows: recording the date and time of eating, and accurately recording the date and time;
e) edible remarks: recording reaction during eating, and if adverse symptoms such as emesis occur, proceeding
Recording to avoid eating again next time.
(2.3) other treatments:
a) operation treatment, yes/no;
b) the treatment starting time is approximate time which is accurate to hour/minute;
c) the treatment ending time is approximate time which is accurate to hour/minute;
d) other treatments, if other special treatment modes exist, filling and multi-line input are needed;
e) stopping the attack, namely singly selecting, not stopping/stopping and identifying whether other treatments have effects;
f) treatment remarks: special events during treatment are recorded, and the doctor in charge can conveniently perform reexamination.
In the list of daily medication and emergency medication, the dosage of certain medicines is calculated in a daily unit, and the dosage is marked by arrows and character colors to show the daily variation of the dosage; the identification rule is: red text and red rising arrows represent yesterday increase in dosage; the green characters and the green descending arrow represent that the dosage is reduced yesterday; the black default characters have no arrows and represent that the dosage is not changed; and the taking detail module lists the taking conditions of various medicines at each time point of the day according to time, and performs the difference change of the marked dose according to the color rule.
And the reminding function module is used for configuring a specific time plan for the patient to take the medicine and treat the medicine by the relative account.
At the set time, the matched APP gives out a prompt to remind relatives or patients of things needing to be done at the corresponding time; the data of the reminding event is synchronized to the patient data acquisition equipment, and the patient data acquisition equipment also generates a corresponding reminding event; closing the reminding event, and closing by using interface operation or closing by using voice control; a plurality of reminding data sets can be added, and a reminding list can be edited at any time.
The data fields of the reminder function include:
(1) reminding of taking medicine every day: morning (selection time point), interval (reminder interval); noon (selection time point), interval (reminder interval); evening (selection time point), interval (reminder interval);
(2) selecting a reminding period: monday, tuesday, wednesday, thursday, friday, saturday, sunday. Can be selected singly or in multiple ways.
(3) And (3) periodic review: specific days of the day are input monthly, every 2 months, every 3 months, every half year, every 1 year. I.e., 13 days per month, for review.
(4) Monitoring the body weight: the time point is input. Weight monitoring was performed at 12 points of input, i.e. 12 points daily.
(5) Critical drug concentration: after a certain medicine is taken daily, reminding is carried out when the weight reaches an early warning threshold value or the total concentration/total amount of the taken medicine reaches the early warning threshold value. And (4) related fields: selecting medicine, selecting data information (weight/concentration), threshold (lower/higher/equal), data concrete data and unit selection (KG, mg).
For example: when the weight of the debaguajin is lower than 15KG, a reminder is sent.
And the data summarization module is used for summarizing various types of patient data to the central server.
After all kinds of patient data are collected to the server, the data can dynamically display various curve graphs according to the set chart function, and the data are conveniently and directly shown to a doctor in charge for checking during a doctor visit;
the chart function is realized based on a Baidu Echart open source project, and a curve chart, a histogram, a pie chart and a hot spot chart are used;
the data items to be presented include: body weight plots, cognitive assessments, motor assessments, verbal assessments, time of onset and dosage (positive X-axis vs positive Y-axis plots);
and the names of manufacturers of various taken medicines, the daily dose (median), other treatment modes and the statistic information of raw ketone diet in daily medication are counted, so that doctors are convenient to comprehensively investigate the medicines.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A data acquisition and analysis system for children epilepsy Dravet syndrome is characterized in that: contain patient data acquisition equipment, patient end, central server, doctor end and relative end, patient data acquisition equipment is connected with patient end and uploads patient's data information who gathers in real time to patient end, and patient end and central server connecting piece receipt patient's data information upload to central server in, doctor end and relative end are connected with central server and are used for receiving patient's in the central server data information.
2. The system for data collection and analysis of childhood epilepsy Dravet syndrome according to claim 1, wherein: patient data acquisition equipment adopts intelligent bracelet, and intelligent bracelet possesses rhythm of the heart monitoring, blood pressure monitoring, current ambient temperature monitoring, body temperature monitoring, energy consumption, sleep monitoring and GPS locate function, and the adoption polymer lithium cell of intelligent bracelet and time of endurance are greater than 7 days, and the completion time of charging is in 2-3 hours, waterproof grade IP 67.
3. The system for data collection and analysis of childhood epilepsy Dravet syndrome according to claim 2, wherein: the built-in low-power consumption bluetooth 4.0 module of intelligence bracelet and patient end wireless connection, patient end, doctor end and the supporting APP of relative end deployment.
4. The system for data collection and analysis of childhood epilepsy Dravet syndrome according to claim 3, wherein: the matched APP comprises a user module, a patient data module, an attack data module, a medication data module, a ketogenic diet module and a data summarization module;
the user module is used for login verification of different user types and distributing corresponding user rights;
the patient data module is used for setting patient information and recording the data information of the patient;
the attack data module is used for detecting the change of the vital signs of the patient, sending the change to the relative end and the doctor end and sending a prompt;
the medicine taking data module is used for monitoring the medicine taking effect of the patient;
the reminding function module is used for configuring a specific time plan for the patient to take the medicine and treat the medicine by the relative account;
and the data summarization module is used for summarizing various types of patient data to the central server.
5. The system for data collection and analysis of childhood epilepsy Dravet syndrome according to claim 4, wherein: the users of the user module are divided into three types, namely patients, relatives and doctors, and the three types of users are distributed with different system function authorities;
the patient is the subject of the generation of the data;
the relatives can receive the detection data and the prompt at the first time and can check the current body data information of the patient in real time;
the doctor is responsible for reviewing the data of the patient, proposing medication advice or adjusting medication, and recording in the system;
the working process of the user module is as follows:
the user uses the mobile phone number and the verification code through the matched APP, and selects the user type to quickly register the system account;
binding a system account with a WeChat account, and directly logging in by using a micro signal;
and then fill in basic information to allow the doctor to better understand the family membership of the patient.
6. The system for data collection and analysis of childhood epilepsy Dravet syndrome according to claim 4, wherein: the working process of the patient data module is as follows:
adding basic information of a patient in a patient data module of a matched APP by the parent account, wherein the basic information of the patient comprises the name, the date of birth, the sex, the identification number, the date of first attack and the region of the patient;
the identity card number is used as the unique identity of the patient, when the identity card number is added by mistake by other account numbers, the parent account number carries out retrieval application by verifying the name of the patient, the identity card number of the patient, the front and back photos of the identity card of the patient and the number of the contact mobile phone of the patient, and the central server carries out manual examination on retrieval application information and completes the transfer of the data of the patient;
the patient data module monitors vital sign data of a patient in real time, the patient data module collects weight data of the patient in sequence every day, the weight data is associated with a measurement date, and weight curve graphs of day, month, quarter and year are generated.
7. The system for data collection and analysis of childhood epilepsy Dravet syndrome according to claim 4, wherein: the attack data module comprises the following working processes:
the patient breaks out the epileptic disease, the data acquisition equipment monitors the change of the vital sign of the patient, uploads the data information in the continuous seizure period to the central server, and the central server feeds the data information back to the relative end and the doctor end which are associated with the patient end and sends out a prompt;
reminding a patient to actively close at a parent end, wherein a reminding closing mode adopts touch screen clicking and voice control, reminding is carried out at a doctor end in a message notification mode, and reminding is respectively sent to the doctor end at the starting time and the ending time of the attack of the patient;
after the patient is completely attacked, the relative end acquires the patient information acquired by the data acquisition equipment during the attack period of the patient to construct an attack data set.
8. The system for data collection and analysis of childhood epilepsy Dravet syndrome according to claim 4, wherein: the medication data module comprises daily medication, emergency medication, ketogenic diet and other treatments;
the data of the first-aid medicine and other treatments are common with the data of the medicine added during the attack, and the data of the medicine added during the attack can be reacted in the two columns;
daily medication data must be listed in a mode of a universal name of the medicine, and the medicine data is added in advance in the background;
in the list of daily medication and emergency medication, the dosage of certain medicines is calculated in a daily unit, and the dosage is marked by arrows and character colors to show the daily variation of the dosage; the identification rule is: red text and red rising arrows represent yesterday increase in dosage; the green characters and the green descending arrow represent that the dosage is reduced yesterday; the black default characters have no arrows and represent that the dosage is not changed; and the taking detail module lists the taking conditions of various medicines at each time point of the day according to time, and performs the difference change of the marked dose according to the color rule.
9. The system for data collection and analysis of childhood epilepsy Dravet syndrome according to claim 4, wherein: the working process of the reminding function module is as follows:
at the set time, the matched APP gives out a prompt to remind relatives or patients of things needing to be done at the corresponding time; the data of the reminding event is synchronized to the patient data acquisition equipment, and the patient data acquisition equipment also generates a corresponding reminding event; closing the reminding event, and closing by using interface operation or closing by using voice control; a plurality of reminding data sets can be added, and a reminding list can be edited at any time.
10. The system for data collection and analysis of childhood epilepsy Dravet syndrome according to claim 4, wherein: the working process of the data summarization module is as follows:
after all kinds of patient data are collected to the server, the data can dynamically display various curve graphs according to the set chart function, and the data are conveniently and directly shown to a doctor in charge for checking during a doctor visit;
the chart function is realized based on a Baidu Echart open source project, and a curve chart, a histogram, a pie chart and a hot spot chart are used;
the data items to be presented include: body weight profile, cognitive assessment, motor assessment, verbal assessment, time to onset and dosage;
and the names of various manufacturers who take the medicines, the daily dose, other treatment modes and the statistics information of the raw ketone food consumption in daily medication are counted, so that doctors are conveniently and comprehensively investigated.
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| CN116364233A (en) * | 2023-03-06 | 2023-06-30 | 广东名阳信息科技有限公司 | Prompting method and device after diagnosis |
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2022
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116364233A (en) * | 2023-03-06 | 2023-06-30 | 广东名阳信息科技有限公司 | Prompting method and device after diagnosis |
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