CN113628755B - Method, device, equipment and storage medium for controlling blood sugar of patient - Google Patents
Method, device, equipment and storage medium for controlling blood sugar of patient Download PDFInfo
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- CN113628755B CN113628755B CN202110961095.3A CN202110961095A CN113628755B CN 113628755 B CN113628755 B CN 113628755B CN 202110961095 A CN202110961095 A CN 202110961095A CN 113628755 B CN113628755 B CN 113628755B
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- 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
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- 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
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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Abstract
The invention discloses a blood sugar control method, device and equipment for a patient and a storage medium, belonging to the technical field of biomedical engineering. The method comprises the following steps: acquiring current blood glucose clinical data of a target patient; the current blood glucose clinical data comprises case data, medication data, vital sign data and current blood glucose data; determining a current glycemic control regimen for the target patient based on the current glycemic clinical data for the target patient; wherein the blood sugar control scheme comprises a control type and a control amount, and the control type is reduced, maintained or increased; and the control medical care terminal manages the blood sugar of the target patient according to the current blood sugar control scheme of the target patient. Through the technical scheme, the problem of inefficiency of manual data transmission and drug administration scheme is solved.
Description
Technical Field
The embodiment of the invention relates to the technical field of biomedical engineering, in particular to a blood sugar control method, device and equipment for a patient and a storage medium.
Background
The blood sugar control of severe patients is not only affected by hypoglycemic drugs, but also by drugs such as diseases, nutrition, hormone and the like, so that the blood sugar control of patients and the drugs (such as insulin) are not simple curative effect relationship, and more factors need to be considered. Moreover, serious patients are generally hospitalized, doctors or nurses need to monitor various physiological indexes of the patients periodically and repeatedly, and a drug administration scheme is formulated and recorded by combining various factors such as diseases, nutrition, hormone and the like. The monitoring labor cost is high, and the data statistics and analysis are difficult.
The existing blood sugar control software or system in the market adopts direct calculation of blood sugar level and insulin, deduces the dosage of insulin needed by patients through a fixed table or formula, and is difficult to improve the efficiency and quality of blood sugar control of severe patients.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for controlling blood sugar of a patient, so as to improve the efficiency and quality of controlling blood sugar of a patient suffering from severe symptoms.
In a first aspect, embodiments of the present invention provide a method for controlling blood glucose in a patient, the method comprising:
acquiring current blood glucose clinical data of a target patient; the current blood glucose clinical data comprises case data, medication data, vital sign data and current blood glucose data;
determining a current glycemic control regimen for the target patient based on the current glycemic clinical data for the target patient; wherein the blood sugar control scheme comprises a control type and a control amount, and the control type is reduced, maintained or increased;
and the control medical care terminal manages the blood sugar of the target patient according to the current blood sugar control scheme of the target patient.
In a second aspect, embodiments of the present invention also provide a blood glucose control device for a patient, the device comprising:
the clinical data acquisition module is used for acquiring the current blood sugar clinical data of the target patient; the current blood glucose clinical data comprises case data, medication data, vital sign data and current blood glucose data;
the control scheme determining module is used for determining the current blood sugar control scheme of the target patient according to the current blood sugar clinical data of the target patient; wherein the blood sugar control scheme comprises a control type and a control amount, and the control type is reduced, maintained or increased;
and the management module is used for controlling the medical care terminal to manage the blood sugar of the target patient according to the current blood sugar control scheme of the target patient.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of controlling blood glucose of a patient as provided by any of the embodiments of the present invention.
In a fourth aspect, embodiments of the present invention also provide a computer readable storage medium having stored thereon a computer program which when executed by a processor implements a method of controlling blood glucose in a patient as provided by any of the embodiments of the present invention.
According to the technical scheme provided by the embodiment of the invention, the current blood sugar clinical data of the target patient is obtained, the current blood sugar clinical data comprises case data, medication data, vital sign data and current blood sugar data, and then the current blood sugar control scheme of the target patient is determined according to the current blood sugar clinical data of the target patient, wherein the blood sugar control scheme comprises a control type and a control amount, the control type is reduced, maintained or improved, and further the medical care terminal is controlled to manage the blood sugar of the target patient according to the current blood sugar control scheme of the target patient. According to the technical scheme, the blood sugar control scheme of the patient is determined by combining the case data, the medication data, the vital sign data, the current blood sugar data and other blood sugar clinical data, so that the quality and the efficiency of blood sugar control of the patient are improved, the medical care terminal is controlled to manage the blood sugar of the patient according to the blood sugar control scheme, the automatic control of the blood sugar of the severe patient is realized, the problem of inefficiency of manual data transmission and the medication scheme is solved, and a new idea is provided for the blood sugar control of the severe patient.
Drawings
FIG. 1 is a flow chart of a method for controlling blood glucose in a patient according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a method for controlling blood glucose in a patient according to a second embodiment of the present invention;
FIG. 3 is a schematic diagram of a blood glucose control system for a patient according to a third embodiment of the present invention;
fig. 4 is a schematic structural view of a blood glucose control device for a patient according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1 is a flowchart of a method for controlling blood glucose of a patient according to an embodiment of the present invention, where the method may be applied to a case of controlling blood glucose of a patient with severe symptoms, and the method may be performed by a blood glucose control device of the patient, where the device may be implemented by software and/or hardware, and may be integrated in an electronic device, such as a server, carrying blood glucose control functions of the patient, and may further be integrated in a control unit in the server.
As shown in fig. 1, the method specifically may include:
s110, acquiring current blood glucose clinical data of a target patient; the current blood glucose clinical data includes case data, medication data, vital sign data, and current blood glucose data.
The target patient is a patient who needs to be subjected to blood glucose management. The current blood sugar clinical data refers to blood sugar related clinical data of the current state of a patient, including but not limited to case data, medication data, vital sign data and current blood sugar data, wherein the vital sign data is used for judging the sign of the condition of the patient and the critical degree, and mainly comprises heart rate, pulse, blood pressure, respiration, pain, blood oxygen, pupil and cornea reflection changes and the like; the current blood glucose data is real-time data of blood glucose of a patient, and can be automatically obtained through an instrument such as a blood gas monitor.
In this embodiment, the current blood glucose clinical data of the target patient may be acquired from the relevant device through the communication unit.
S120, determining a current blood sugar control scheme of the target patient according to the current blood sugar clinical data of the target patient.
The blood sugar control scheme comprises a control type and a control quantity, wherein the control type is reduced, maintained or increased, and the control type can be expressed by numbers, letters and combination of the numbers and the letters, for example, 0 represents maintenance, 1 represents increase and 2 represents decrease. The control amount is the input rate of glucose or insulin corresponding to the control type, and if the control type is hold, the control amount is 0; if the control type is improved, the control quantity is the glucose input rate; if the control type is decreasing, the control amount is the insulin input rate.
In this embodiment, different blood glucose clinical data corresponds to different blood glucose control schemes, and different blood glucose control schemes can be formulated according to different historical blood glucose clinical data of a historical patient and a current patient, and the historical blood glucose clinical data and the blood glucose control schemes are associated. Optionally, if the current blood glucose clinical data of the target patient is similar to or consistent with the historical blood glucose clinical data, a blood glucose control scheme associated with the historical blood glucose clinical data is obtained as the current blood glucose control scheme of the target patient.
S130, controlling the medical care terminal to manage the blood sugar of the target patient according to the current blood sugar control scheme of the target patient.
In this embodiment, the current blood glucose control scheme of the target patient is sent to the medical care terminal, and the medical care terminal manages the blood glucose of the target patient according to the current blood glucose control scheme of the target patient. The medical care terminals are different terminals, and comprise doctor terminals and nurse terminals. Specifically, the doctor terminal displays the current blood sugar control scheme of the target patient so as to facilitate the doctor to check and examine; the nurse terminal manages the blood sugar of the target patient according to the current blood sugar control scheme of the target patient and displays the current blood sugar control scheme of the target patient so that the nurse can check and examine.
Optionally, in order to ensure accuracy of the current blood glucose control scheme of the target patient, as an optional manner of the embodiment of the present invention, a blood glucose management request including the current blood glucose control scheme and current blood glucose clinical data may also be sent to the medical terminal, so as to instruct the medical terminal to verify the current blood glucose control scheme according to the current blood glucose clinical data, and manage blood glucose of the target patient when the verification passes.
The present invention is applicable to a blood glucose management system for a patient, and is applicable to a medical device for managing blood glucose in a patient. Furthermore, in order to further determine the accuracy of the current blood glucose control scheme, the blood glucose of the target patient can be managed under the condition that both the blood glucose control scheme and the blood glucose control scheme pass the verification.
It can be appreciated that the accuracy of the current blood glucose control scheme of the patient can be ensured by performing secondary verification on the current blood glucose control scheme through the medical care end.
According to the technical scheme provided by the embodiment of the invention, the current blood sugar clinical data of the target patient is obtained, the current blood sugar clinical data comprises case data, medication data, vital sign data and current blood sugar data, and then the current blood sugar control scheme of the target patient is determined according to the current blood sugar clinical data of the target patient, wherein the blood sugar control scheme comprises a control type and a control amount, the control type is reduced, maintained or improved, and further the medical care terminal is controlled to manage the blood sugar of the target patient according to the current blood sugar control scheme of the target patient. According to the technical scheme, the blood sugar control scheme of the patient is determined by combining the case data, the medication data, the vital sign data, the current blood sugar data and other blood sugar clinical data, so that the quality and the efficiency of blood sugar control of the patient are improved, the medical care terminal is controlled to manage the blood sugar of the patient according to the blood sugar control scheme, the automatic control of the blood sugar of the severe patient is realized, the problem of inefficiency of manual data transmission and the medication scheme is solved, and a new idea is provided for the blood sugar control of the severe patient.
Example two
FIG. 2 is a flow chart of a method for controlling blood glucose in a patient according to a second embodiment of the present invention; further optimization, based on the examples above, provides an alternative embodiment.
As shown in fig. 2, the method specifically may include:
s210, acquiring current blood glucose clinical data of a target patient; the current blood glucose clinical data includes case data, medication data, vital sign data, and current blood glucose data.
S220, determining a current blood sugar control scheme of the target patient according to the current blood sugar clinical data of the target patient.
The blood sugar control scheme comprises a control type and a control quantity, wherein the control type is reduced, maintained or increased.
In this embodiment, the current blood glucose clinical data of the target patient may be input into the blood glucose control model of the target patient, to obtain the current blood glucose control scheme of the target patient.
Optionally, the blood glucose control model of the target patient is obtained by: and determining the external blood sugar characteristics of the target patient according to the case data, the medication data and the vital sign data of the target patient.
Wherein the blood glucose external features are used to characterize the blood glucose clinical features of the patient and may be in the form of vectors. Specifically, the case data, the medication data and the vital sign data of the target patient can be vectorized to obtain the external blood sugar characteristics of the target patient. Further, basic information of the target patient can be combined when determining the external blood sugar characteristics of the target patient.
Further, each type of data may include a plurality of data items, for example, vital sign data may include heart rate, pulse, blood pressure, respiration, blood oxygen, and the like, and basic information may include gender, age, height, weight, region, disease, and the like. The type of the data item can be text type or numerical type. For example, for text-type data items, the data items can be digitally processed according to characteristic rules, such as gender, wherein the number "0" can be used for representing men, the number "1" can be used for representing women, and the number "2" can be used for representing others; for another example, the region can be represented by the first 6 bits of the identity card; for another example, the disease may be represented by a CHS-DRG packet value corresponding to the disease. For the numerical data items, the numerical values can be directly used or normalized, such as age, height and weight, the height unit is cm, the weight unit is kg, and the numerical values can be directly represented. And then splicing the vectorized data items according to a certain sequence to obtain the blood sugar external characteristics of the target patient.
After determining the blood glucose external characteristic of the target patient, selecting a blood glucose control model of the target patient from the blood glucose control models of the history patient according to a distance between the blood glucose external characteristic of the history patient and the blood glucose external characteristic of the target patient.
Wherein the blood glucose external feature is multidimensional and the blood glucose external feature of the historical patient is the same dimension as the blood glucose external feature of the target patient.
Further, the square of the difference between the blood sugar external feature of the history patient and the numerical value of each dimension in the blood sugar external feature of the target patient is determined, the squares of the numerical value differences of the respective dimensions are added, and the added result is taken as the distance between the blood sugar external feature of the history patient and the blood sugar external feature of the target patient. The distance between the blood glucose external feature of the historic patient and the blood glucose external feature of the target patient may be determined, for example, by the following formula:
wherein d n Represents the distance between the blood glucose external feature of the nth history patient and the blood glucose external feature of the target patient, m represents the dimension of the blood glucose external feature, X i A feature value representing the ith dimension in the external features of blood glucose in the target patient, Y ni A characteristic value representing the ith dimension of the blood glucose external characteristics of the nth history patient.
For example, after determining the distance between the blood glucose external feature of the history patient and the blood glucose external feature of the target patient, the blood glucose control model of the history patient corresponding to the minimum distance may be taken as the blood glucose control model of the target patient.
For example, according to the distance between the blood sugar external feature of the historical patient and the blood sugar external feature of the target patient, an initial model of the target patient is selected from blood sugar control models of the historical patient, so that difference data between a first blood sugar control scheme based on the historical blood sugar data of the initial model to the target patient and a second blood sugar control scheme based on the historical blood sugar data of the medical terminal is determined, and if the difference data does not meet the set condition, the initial model is optimized by adopting the second blood sugar control scheme, so that a blood sugar control model of the target patient is obtained. If the difference data meets the set condition, the initial model is used as a blood sugar control model of the target patient. The setting conditions are set by those skilled in the art (doctor) according to the actual situation.
Specifically, determining the distance between the blood glucose external feature of the history patient and the blood glucose external feature of the target patient, the minimum distanceThe blood glucose control model of the corresponding historical patient is used as an initial model of the target patient, then the historical blood glucose data of the target patient is input into the initial model of the target patient, a first blood glucose control scheme of the target patient is obtained, and a second blood glucose control scheme of the medical terminal on the historical blood glucose data of the target patient is obtained; and further determining difference data between the first blood sugar control scheme and the second blood sugar control scheme, and if the difference data are inconsistent in control type, namely, do not meet the set conditions, optimizing the initial model by adopting the second blood sugar control scheme to obtain a blood sugar control model of the target patient. Further, if the difference data are the same in control type, but the control amounts corresponding to the control types are inconsistent, namely, the difference value between the control amounts corresponding to the control types in the first blood sugar control scheme and the second blood sugar control scheme is larger than a set value, namely, the set condition is not met, the second blood sugar control scheme is adopted to optimize the initial model, and the blood sugar control model of the target patient is obtained. For example, the control type in the first glycemic control scenario C is C mt And a control amount of C lt The method comprises the steps of carrying out a first treatment on the surface of the The type of control in the second glycemic control regimen is H mt And a control amount of H lt The control amount difference in the difference data is e t ＝(C lt -H lt ) 2 . When C mt And H mt Inconsistencies, or C mt And H mt Consistent but e t If the blood glucose monitoring task is greater than the preset threshold, optimizing the initial model by adopting a second blood glucose control scheme to obtain a blood glucose control model of the target patient until the blood glucose monitoring task is C under the condition of continuous N blood glucose monitoring tasks mt And H mt And keeping consistency, and stopping optimizing the initial model if the control quantity e is smaller than a preset threshold value, and taking the model at the time of stopping optimizing as a blood sugar control model of the target patient. Wherein the preset threshold value can be set by a person skilled in the art (doctor) according to the actual situation.
And if the difference data meets the set condition, namely the control types in the first blood sugar control scheme and the second blood sugar control scheme are the same, and the difference value between the control amounts is smaller than a preset threshold value, taking the initial model as a blood sugar control model of the target patient. Wherein the preset threshold value can be set by a person skilled in the art (doctor) according to the actual situation.
It can be appreciated that determining the current glycemic control regimen for the patient via the glycemic control model may further improve the accuracy of glycemic control for the patient, thereby improving the quality and efficiency of glycemic control for the patient.
Optionally, if it is determined that the blood glucose monitoring task of the target patient is finished, storing the blood glucose control model of the target patient in association with the blood glucose external feature.
The blood glucose monitoring task refers to a task of monitoring blood glucose of a patient.
Specifically, if the blood glucose monitoring task of the target patient is finished, the blood glucose control model of the target patient and the blood glucose external characteristics are stored in a correlated mode, and the blood glucose control model and the blood glucose external characteristics are used as references for the subsequent treatment of the patient.
S230, controlling the medical care terminal to manage the blood sugar of the target patient according to the current blood sugar control scheme of the target patient.
According to the technical scheme provided by the embodiment of the invention, the current blood sugar clinical data of the target patient is obtained, the current blood sugar clinical data comprises case data, medication data, vital sign data and current blood sugar data, and then the current blood sugar control scheme of the target patient is determined according to the current blood sugar clinical data of the target patient, wherein the blood sugar control scheme comprises a control type and a control amount, the control type is reduced, maintained or improved, and further the medical care terminal is controlled to manage the blood sugar of the target patient according to the current blood sugar control scheme of the target patient. According to the technical scheme, the blood sugar control scheme of the patient is determined by combining the case data, the medication data, the vital sign data, the current blood sugar data and other blood sugar clinical data, so that the quality and the efficiency of blood sugar control of the patient are improved, the medical care terminal is controlled to manage the blood sugar of the patient according to the blood sugar control scheme, the automatic control of the blood sugar of the severe patient is realized, the problem of inefficiency of manual data transmission and the medication scheme is solved, and a new idea is provided for the blood sugar control of the severe patient.
Example III
Fig. 3 is a schematic diagram of a patient blood glucose control system provided in accordance with a third embodiment of the present invention, further optimized on the basis of the above-described embodiment, to provide a preferred embodiment.
As shown in fig. 3, the system comprises a blood glucose collecting and monitoring unit, a communication unit, a control unit, a storage unit, a doctor terminal and a nurse terminal.
The blood sugar collecting and monitoring unit can automatically collect blood sugar data of a patient through instruments such as a blood gas monitor and the like, and send the blood sugar real-time data of the patient to the storage unit through the communication unit.
The so-called memory unit is used for storing blood glucose clinical data and blood glucose control schemes of the patient.
The communication unit is used for data transmission among the units.
The doctor terminal is used for displaying external data such as blood glucose data, vital sign data, medication data, and case data, and blood glucose control schemes. Specifically, a doctor can select, adjust and audit the blood glucose control scheme of the patient according to the display of the doctor terminal and combining various data in the office.
The nurse terminal is used for receiving the adjusted blood glucose management program and feeding back the blood glucose management program after the execution is completed. Specifically, the nurse activates the drug delivery or replenishment system to regulate the blood glucose of the patient according to a blood glucose control regimen for lowering, raising, and maintaining blood glucose. If the blood glucose control scheme prompts the blood glucose to be increased, the nurse activates the replenishment system and gives specific replenishment; if the glycemic control regimen indicates a lowering of blood glucose, the nurse activates the drug delivery system and administers a particular hypoglycemic agent to lower the patient's blood glucose.
The control unit is used for selecting and calculating a blood glucose control scheme of a proper patient according to blood glucose data of the patient in the storage unit, displaying the blood glucose control scheme on a doctor or nurse terminal, and transmitting the blood glucose control scheme or executing feedback according to instructions of the doctor or nurse.
The external system refers to a patient-related examination information system, a medical image management system, an electronic case system, a computerized doctor order entry system, and the like.
According to the technical scheme provided by the embodiment of the invention, the blood sugar of the patient is managed through cooperation of multiple parties such as the blood sugar acquisition and monitoring unit, the communication unit, the control unit, the storage unit, the doctor terminal, the nurse terminal and the like, so that the quality and the efficiency of controlling the blood sugar of the patient can be improved.
Example IV
Fig. 4 is a schematic structural diagram of a blood glucose control device for a patient according to a fourth embodiment of the present invention, where the present embodiment is applicable to the case of controlling blood glucose of a critical patient, and the device may be implemented in software and/or hardware, and may be integrated into an electronic device, such as a server, that carries the blood glucose control function of the patient.
As shown in fig. 4, the apparatus may specifically include a clinical data acquisition module 410, a control scheme determination module 420, and a management module 430, wherein,
a clinical data acquisition module 410 for acquiring current blood glucose clinical data of a target patient; the current blood glucose clinical data includes case data, medication data, vital sign data, and current blood glucose data;
a control scheme determination module 420 for determining a current glycemic control scheme for the target patient based on the current glycemic clinical data of the target patient; the blood sugar control scheme comprises a control type and a control amount, wherein the control type is reduced, maintained or increased;
the management module 430 is used for controlling the medical care terminal to manage the blood sugar of the target patient according to the current blood sugar control scheme of the target patient.
According to the technical scheme provided by the embodiment of the invention, the current blood sugar clinical data of the target patient is obtained, the current blood sugar clinical data comprises case data, medication data, vital sign data and current blood sugar data, and then the current blood sugar control scheme of the target patient is determined according to the current blood sugar clinical data of the target patient, wherein the blood sugar control scheme comprises a control type and a control amount, the control type is reduced, maintained or improved, and further the medical care terminal is controlled to manage the blood sugar of the target patient according to the current blood sugar control scheme of the target patient. According to the technical scheme, the blood sugar control scheme of the patient is determined by combining the case data, the medication data, the vital sign data, the current blood sugar data and other blood sugar clinical data, so that the quality and the efficiency of blood sugar control of the patient are improved, the medical care terminal is controlled to manage the blood sugar of the patient according to the blood sugar control scheme, the automatic control of the blood sugar of the severe patient is realized, the problem of inefficiency of manual data transmission and the medication scheme is solved, and a new idea is provided for the blood sugar control of the severe patient.
Further, the control scheme determination module 420 is specifically configured to:
and inputting the current blood sugar clinical data of the target patient into a blood sugar control model of the target patient to obtain a current blood sugar control scheme of the target patient.
Further, the control scheme determination module 420 includes a model determination unit for:
determining the external blood sugar characteristics of the target patient according to the case data, the medication data and the vital sign data of the target patient;
the blood glucose control model of the target patient is selected from the blood glucose control models of the history patient based on a distance between the blood glucose external features of the history patient and the blood glucose external features of the target patient.
Further, the model determining unit is specifically configured to:
selecting an initial model of the target patient from the blood glucose control models of the history patient according to the distance between the blood glucose external features of the history patient and the blood glucose external features of the target patient;
determining difference data between a first blood glucose control scheme based on the initial model for historical blood glucose data of the target patient and a second blood glucose control scheme based on the medical terminal for historical blood glucose data of the target patient;
and if the difference data does not meet the set conditions, optimizing the initial model by adopting a second blood sugar control scheme to obtain a blood sugar control model of the target patient.
Further, the model determining unit is specifically further configured to:
if the difference data meets the set condition, the initial model is used as a blood sugar control model of the target patient.
Further, the model determining unit is specifically further configured to:
and if the blood glucose monitoring task of the target patient is finished, storing a blood glucose control model of the target patient in association with the blood glucose external characteristics.
Further, the management module 430 is specifically configured to:
and sending a blood sugar management request comprising the current blood sugar control scheme and the current blood sugar clinical data to the medical care terminal so as to instruct the medical care terminal to verify the current blood sugar control scheme according to the current blood sugar clinical data, and managing the blood sugar of the target patient under the condition that the verification is passed.
The blood glucose control device for the patient can execute the blood glucose control method for the patient provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example five
Fig. 5 is a schematic structural diagram of an electronic device provided in a fifth embodiment of the present invention, and fig. 5 is a block diagram of an exemplary device suitable for implementing an embodiment of the present invention. The device shown in fig. 5 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the invention.
As shown in fig. 5, the electronic device 12 is in the form of a general purpose computing device. Components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.
Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by electronic device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory (cache 32). The electronic device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, commonly referred to as a "hard disk drive"). Although not shown in fig. 5, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. The system memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.
The electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the electronic device 12, and/or any devices (e.g., network card, modem, etc.) that enable the electronic device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Also, the electronic device 12 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through a network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device 12 over the bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, to implement the blood glucose control method for a patient provided by the embodiment of the present invention.
Example six
A sixth embodiment of the present invention also provides a computer-readable storage medium having stored thereon a computer program (or referred to as computer-executable instructions) which, when executed by a processor, is configured to perform the method for controlling blood glucose in a patient provided by the embodiment of the present invention, the method comprising:
acquiring current blood glucose clinical data of a target patient; the current blood glucose clinical data includes case data, medication data, vital sign data, and current blood glucose data; determining a current blood glucose control scheme of the target patient according to the current blood glucose clinical data of the target patient; the blood sugar control scheme comprises a control type and a control amount, wherein the control type is reduced, maintained or increased; the control medical care terminal manages the blood sugar of the target patient according to the current blood sugar control scheme of the target patient.
The computer storage media of embodiments of the invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, 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), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for embodiments of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code 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 kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the embodiments of the present invention have been described in connection with the above embodiments, the embodiments of the present invention are not limited to the above embodiments, but may include many other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (6)
1. A method of controlling blood glucose in a patient, comprising:
acquiring current blood glucose clinical data of a target patient; the current blood glucose clinical data comprises case data, medication data, vital sign data and current blood glucose data;
determining a current glycemic control regimen for the target patient based on the current glycemic clinical data for the target patient; wherein the blood sugar control scheme comprises a control type and a control amount, and the control type is reduced, maintained or increased;
the control medical care terminal manages the blood sugar of the target patient according to the current blood sugar control scheme of the target patient;
wherein the determining the current glycemic control regimen of the target patient based on the current glycemic clinical data of the target patient comprises:
inputting the current blood sugar clinical data of the target patient into a blood sugar control model of the target patient to obtain a current blood sugar control scheme of the target patient;
the blood sugar control model of the target patient is obtained by the following steps:
determining the external blood sugar characteristics of the target patient according to the case data, the medication data and the vital sign data of the target patient;
selecting a blood sugar control model of the target patient from blood sugar control models of the history patient according to the distance between the blood sugar external characteristics of the history patient and the blood sugar external characteristics of the target patient;
wherein the glycemic external feature is multi-dimensional, and the blood glucose external feature of the historical patient is the same as the blood glucose external feature of the target patient in dimensions; the distance between the blood glucose external feature of the history patient and the blood glucose external feature of the target patient is obtained by determining the square of the difference between the values of each dimension in the blood glucose external feature of the history patient and the blood glucose external feature of the target patient, and adding the squares of the value differences of the respective dimensions;
wherein the selecting a blood glucose control model of the target patient from the blood glucose control models of the history patient according to the distance between the blood glucose external features of the history patient and the blood glucose external features of the target patient comprises:
determining the distance between the blood sugar external characteristics of the historical patient and the blood sugar external characteristics of the target patient, and taking a blood sugar control model of the historical patient corresponding to the minimum distance as an initial model of the target patient;
determining difference data between a first glycemic control regimen based on the initial model for historical glycemic data of the target patient and a second glycemic control regimen based on the medical terminal for historical glycemic data of the target patient;
if the difference data does not meet the set condition, optimizing the initial model by adopting the second blood glucose control scheme to obtain a blood glucose control model of the target patient;
wherein, control medical terminal is according to the current blood sugar control scheme management of target patient the blood sugar includes:
sending a blood sugar management request comprising a current blood sugar control scheme and current blood sugar clinical data to the medical care terminal so as to instruct the medical care terminal to verify the current blood sugar control scheme according to the current blood sugar clinical data, and managing the blood sugar of the target patient under the condition that the verification is passed; the medical care terminals are different terminals, and comprise doctor terminals and nurse terminals.
2. The method as recited in claim 1, further comprising:
and if the difference data meets the set condition, using the initial model as a blood sugar control model of the target patient.
3. The method as recited in claim 1, further comprising:
and if the blood glucose monitoring task of the target patient is determined to be finished, storing a blood glucose control model of the target patient in association with the blood glucose external characteristics.
4. A blood glucose control device for a patient, comprising:
the clinical data acquisition module is used for acquiring the current blood sugar clinical data of the target patient; the current blood glucose clinical data comprises case data, medication data, vital sign data and current blood glucose data;
the control scheme determining module is used for determining the current blood sugar control scheme of the target patient according to the current blood sugar clinical data of the target patient; wherein the blood sugar control scheme comprises a control type and a control amount, and the control type is reduced, maintained or increased;
the control scheme determining module is specifically configured to:
inputting the current blood sugar clinical data of the target patient into a blood sugar control model of the target patient to obtain a current blood sugar control scheme of the target patient;
wherein the control scheme determination module comprises:
a model determining unit for
Determining the external blood sugar characteristics of the target patient according to the case data, the medication data and the vital sign data of the target patient;
selecting a blood sugar control model of the target patient from blood sugar control models of the history patient according to the distance between the blood sugar external characteristics of the history patient and the blood sugar external characteristics of the target patient;
wherein the glycemic external feature is multi-dimensional, and the blood glucose external feature of the historical patient is the same as the blood glucose external feature of the target patient in dimensions; the distance between the blood glucose external feature of the history patient and the blood glucose external feature of the target patient is obtained by determining the square of the difference between the values of each dimension in the blood glucose external feature of the history patient and the blood glucose external feature of the target patient, and adding the squares of the value differences of the respective dimensions;
the management module is used for controlling the medical care terminal to manage the blood sugar of the target patient according to the current blood sugar control scheme of the target patient;
the model determining unit is specifically configured to:
determining the distance between the blood sugar external characteristics of the historical patient and the blood sugar external characteristics of the target patient, and taking a blood sugar control model of the historical patient corresponding to the minimum distance as an initial model of the target patient;
determining difference data between a first glycemic control regimen based on the initial model for historical glycemic data of the target patient and a second glycemic control regimen based on the medical terminal for historical glycemic data of the target patient;
if the difference data does not meet the set condition, optimizing the initial model by adopting the second blood glucose control scheme to obtain a blood glucose control model of the target patient;
wherein, the management module is specifically configured to:
sending a blood sugar management request comprising a current blood sugar control scheme and current blood sugar clinical data to the medical care terminal so as to instruct the medical care terminal to verify the current blood sugar control scheme according to the current blood sugar clinical data, and managing the blood sugar of the target patient under the condition that the verification is passed; the medical care terminals are different terminals, and comprise doctor terminals and nurse terminals.
5. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of glycemic control of a patient of any one of claims 1-3.
6. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when executed by a processor, implements a method of controlling blood glucose in a patient according to any one of claims 1-3.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110085318A (en) * | 2019-03-12 | 2019-08-02 | 平安科技（深圳）有限公司 | Predict the method, apparatus and computer equipment of future blood glucose value |
| CN111110949A (en) * | 2018-11-01 | 2020-05-08 | 上海市第六人民医院 | Method and device for determining insulin injection amount, computer storage medium and equipment |
| CN112908445A (en) * | 2021-02-20 | 2021-06-04 | 上海市第四人民医院 | Diabetes patient blood sugar management method, system, medium and terminal based on reinforcement learning |
| CN112927802A (en) * | 2021-01-28 | 2021-06-08 | 北京理工大学 | Expert experience assisted preprandial insulin dosage learning optimization decision system |
| CN113063753A (en) * | 2021-03-16 | 2021-07-02 | 重庆大学 | Blood glucose prediction model self-correction method based on near-infrared light |
| CN113270204A (en) * | 2021-06-04 | 2021-08-17 | 荣曦 | Method for predicting initial dose of insulin pump |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3337402A4 (en) * | 2015-08-20 | 2019-04-24 | Aseko, Inc. | Diabetes management therapy advisor |
-
2021
- 2021-08-20 CN CN202110961095.3A patent/CN113628755B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111110949A (en) * | 2018-11-01 | 2020-05-08 | 上海市第六人民医院 | Method and device for determining insulin injection amount, computer storage medium and equipment |
| CN110085318A (en) * | 2019-03-12 | 2019-08-02 | 平安科技（深圳）有限公司 | Predict the method, apparatus and computer equipment of future blood glucose value |
| CN112927802A (en) * | 2021-01-28 | 2021-06-08 | 北京理工大学 | Expert experience assisted preprandial insulin dosage learning optimization decision system |
| CN112908445A (en) * | 2021-02-20 | 2021-06-04 | 上海市第四人民医院 | Diabetes patient blood sugar management method, system, medium and terminal based on reinforcement learning |
| CN113063753A (en) * | 2021-03-16 | 2021-07-02 | 重庆大学 | Blood glucose prediction model self-correction method based on near-infrared light |
| CN113270204A (en) * | 2021-06-04 | 2021-08-17 | 荣曦 | Method for predicting initial dose of insulin pump |
Non-Patent Citations (1)
| Title |
|---|
| 基于粒子群和模型预测控制的重症监护病人的血糖控制;谢宏志;《中国优秀硕士学位论文全文数据库 信息科技辑(月刊)》(第S2期);正文第1-70页 * |
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