CN115394399A - Nursing plan generation method and device, electronic equipment and computer readable medium - Google Patents
Nursing plan generation method and device, electronic equipment and computer readable medium Download PDFInfo
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- CN115394399A CN115394399A CN202211046358.9A CN202211046358A CN115394399A CN 115394399 A CN115394399 A CN 115394399A CN 202211046358 A CN202211046358 A CN 202211046358A CN 115394399 A CN115394399 A CN 115394399A
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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
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- 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
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
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- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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Abstract
Embodiments of the present disclosure disclose a care plan generation method, apparatus, electronic device, and computer-readable medium. One embodiment of the method comprises: acquiring basic information of a target user from target equipment; selecting a target state from preset states as state information of a target user according to the basic information; evaluating the target user according to the state information and the basic information to obtain evaluation data; selecting a target prevention mode from preset prevention modes as a target user prevention mode according to the evaluation data; and determining the care level of the target user and generating a corresponding care plan according to the prevention mode, the evaluation data and the state information of the target user. The embodiment realizes the generation of the nursing scheme without depending on manpower, and reduces the pressure of medical resources in blind medical treatment.
Description
Technical Field
Embodiments of the present disclosure relate to the field of computer technologies, and in particular, to a care plan generation method and apparatus, an electronic device, and a computer-readable medium.
Background
In family's medical care's field, the uncontrollable nature of risk and present technical concern point of nursing service at home are mostly treatments, face a large amount of market demands, and most medical institutions are all stranded the policy and are unforeseen, only can satisfy the small part nursing demand.
The prior art mainly focuses on treatment in hospitals, and omits prevention and nursing; not only can not degrade the burden of hospitals, but also can increase the risk of cross infection. The mechanism mostly gives priority to treatment, the prevention and nursing scheme is complex, the nursing scheme is formulated by medical staff, and the medical pressure mainly giving priority to nursing and prevention is increasingly strong at present.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose methods, apparatuses, electronic devices and computer readable media for care plan generation to address the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a method for care plan generation, the method comprising: acquiring basic information of a target user from target equipment; selecting a target state from preset states as the state information of the target user according to the basic information; evaluating the target user according to the state information and the basic information to obtain evaluation data; selecting a target prevention mode from preset prevention modes as the target user prevention mode according to the evaluation data; and determining the care grade of the target user and generating a corresponding care scheme according to the target user prevention mode, the evaluation data and the target user state information.
In a second aspect, some embodiments of the present disclosure provide a care plan generation apparatus, the apparatus comprising: an acquisition unit configured to acquire basic information of a target user from a target device; a first selecting unit configured to select a target state from preset states as state information of the target user according to the basic information; an evaluation unit configured to evaluate the target user according to the status information and the basic information to obtain evaluation data; a second selection unit configured to select a target prevention manner from preset prevention manners as the target user prevention manner according to the evaluation data; and the generating unit is configured to determine the care level of the target user and generate a corresponding care scheme according to the target user prevention mode, the evaluation data and the target user state information.
In a third aspect, an embodiment of the present application provides an electronic device, where the network device includes: one or more processors; storage means for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method as described in any implementation of the first aspect.
In a fourth aspect, the present application provides a computer readable medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the method as described in any implementation manner of the first aspect.
One of the above-described various embodiments of the present disclosure has the following advantageous effects: acquiring basic information of a target user from target equipment; selecting a target state from preset states as the state information of the target user according to the basic information; evaluating the target user according to the state information and the basic information to obtain evaluation data; selecting a target prevention mode from preset prevention modes as the target user prevention mode according to the evaluation data; and determining the care level of the target user and generating a corresponding care plan according to the target user prevention mode, the evaluation data and the target user state information. Therefore, the personalized and customized nursing scheme which is more suitable for the requirements of the user is generated for the user by utilizing the information of the user, the generation of the nursing scheme which does not depend on manpower is realized, and the pressure of medical resources in the blind medical treatment aspect is reduced.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
FIG. 1 is a schematic diagram of one application scenario of a method of generating a care plan, according to some embodiments of the present disclosure;
fig. 2 is a flow diagram of some embodiments of a method of generating a care plan according to the present disclosure;
fig. 3 is a schematic structural diagram of some embodiments of a generate care plan apparatus according to the present disclosure;
FIG. 4 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of one application scenario of a method of generating a care plan, according to some embodiments of the present disclosure.
As shown in fig. 1, the executive main server may collect basic information 102 of a target user from a target device, select a target state from preset states as state information 103 of the target user according to the basic information 102, evaluate the target user according to the state information 103 and the basic information 102 to obtain evaluation data 104, select a target prevention manner from preset prevention manners as the target user prevention manner 105 according to the evaluation data 104, and determine a care level of the target user according to the target user prevention manner 105, the evaluation data 104 and the state information 103 of the target user to generate a corresponding care plan 106.
It is understood that the method for generating a care plan may be executed by a terminal device, or may also be executed by the server 101, and the execution body of the method may also include a device formed by integrating the terminal device and the server 101 through a network, or may also be executed by various software programs. The terminal device may be various electronic devices with information processing capability, including but not limited to a smart phone, a tablet computer, an e-book reader, a laptop portable computer, a desktop computer, and the like. The execution body may also be embodied as the server 101, software, or the like. When the execution subject is software, it can be installed in the electronic devices listed above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of servers in fig. 1 is merely illustrative. There may be any number of servers, as desired for implementation.
With continued reference to fig. 2, a flow 200 of some embodiments of a regimen generation method according to the present disclosure is shown. The nursing plan generating method comprises the following steps:
The executing body of the method of generating a care plan, such as a server shown in fig. 1, may receive basic information from a terminal with which a target user performs information filling in through a wired connection or a wireless connection. The execution subject may further acquire the basic information through a wearable device of the target user.
Here, the basic information generally refers to information such as the identity and physical data of the target user. For example, the basic information may be a user information collection table of the target user, medical record information of the target user, or the like. Here, the target user generally refers to a user who can acquire user information. Here, the target user information may be filled in by the user and sent to the executing subject, or may be obtained from a wearable device of the user.
It is noted that the wireless connection may include, but is not limited to, a 3G/4G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a UWB (ultra wideband) connection, and other wireless connection now known or developed in the future.
In some optional implementations of some embodiments, the basic information of the target user includes: identity information, past case information, illness history, genetic history information, and the like.
In some embodiments, based on the basic information obtained in step 201, the execution subject (e.g., the server shown in fig. 1) may determine a state conforming to the target user from preset states, and use the state conforming to the target user as the state information of the target user. As an example, the execution subject may determine the state information (chronic disease) of the target user by determining the disease (chronic enteritis) of the target user according to the medical record information in the target user information. As another example, the executing entity may determine the status information of the target user according to the physical data (heart rate) in the target user information (if the heart rate is different from a preset value, it may be determined that the status information of the target user is a sub-health status).
In some optional implementations of some embodiments, the preset state includes: sub-health/sub-clinical status, acute/chronic status, and disability/critical/terminal status.
And step 203, evaluating the target user according to the state information and the basic information to obtain evaluation data.
In some embodiments, the execution subject may perform an evaluation for the target user according to the status information and the basic information to obtain evaluation data.
Here, the execution main body further performs all-around physical health risk assessment on the state information and the basic information for the target user through data uploaded by medical staff, and obtains assessment data. Specifically, the data uploaded by the medical staff may be the previous basic data of the target user or the average data of healthy people, and the like.
By comparing the front state and the back state, a nursing scheme can be formulated more scientifically, and possible complications, invisible diseases and the like can be predicted to obtain scientific user state judgment.
And 204, selecting a target prevention mode from preset prevention modes as the target user prevention mode according to the evaluation data.
In some embodiments, the execution subject may select a target prevention manner from preset prevention manners as the target user prevention manner according to the evaluation data.
Specifically, the execution subject may select a target user prevention mode that matches the target user according to the evaluation data. Specifically, the execution subject may store a prevention manner set in advance, and the prevention manner in the prevention manner set may be labeled with corresponding evaluation data, so as to select a target user prevention manner corresponding to the evaluation data.
In some optional implementations of some embodiments, the preset prevention manner includes: sub-health care prevention, sub-clinical care prevention, home care prevention after the acute stage of a disease, chronic disease care management prevention, and disability critical care prevention.
In some embodiments, the executive body may determine a care level of the target user and generate a corresponding care plan according to the target user prevention manner, the evaluation data, and the target user status information.
Here, the executive body may generate a set of preventive measures and a set of care measures for the target user as a care plan corresponding to the target user. Here, there are various ways in which the execution subject generates the set of preventive measures. As an example, the subject may search in a preset database or the internet using the basic information to generate the set of care measures.
Here, the above preventive measures generally refer to preventive measures against some diseases. As an example, the above preventive measure may be making an exercise plan or the like. The above-mentioned care measures are generally referred to as means for improving physical discomfort. As an example, the above care measure may be acupuncture, massage, or the like for the user.
In some optional implementations of some embodiments, the performing subject may determine the target user care level from the following care levels according to the target user prevention manner, the evaluation data, and the status information: level 1 care-home is heavy/near end; level 2 care-physical disability; level 3 nursing-home rehabilitation after an emergency; grade 4 nursing-chronic disease; grade 5 care-subclinical; grade 6 care-sub-health; generating a preventive measure set and a care measure set for the target user according to the evaluation data of the target user, the preventive mode of the target user, the state information of the target user and the care level of the target user; and generating a care plan for the target user according to the evaluation data, the preventive measure set and the care measure set.
In some optional implementations of some embodiments, the executive body may also send the care plan to a device of a target user; and responding to the detection of the modification operation of the user for the care plan, and sending prompt information to the target user according to the modification operation. As another example, the prompt information may be an opinion of a medical staff regarding the user modification operation.
And in response to the detection of the confirmation operation of the user for the prompt message, modifying the care plan according to the modification operation of the target user, and sending the modified care plan to the target user.
In response to detecting the confirmation operation of the target user for the modified care plan, acquiring a confirmation signature of the target user; and sending the confirmation signature and the care scheme confirmed by the target user to the target nursing staff.
In some optional implementations of some embodiments, the performing body may further receive a care report of the target caregiver; and generating a data chain of the target user according to the confirmation signature of the target user, the nursing report, the nursing scheme, the basic information of the target user and the evaluation data, and storing the data chain.
Specifically, the underlying covert data architecture of some embodiments includes: data collection, data processing and modeling, data algorithms, data applications, wherein data collection is performed by interfacing or programming a system with data sources such as: EMR (501-0), CIS (501-1), HIS, CRM and other metadata programming and the like, wherein each data source of the configured system completes multi-party data collection to generate target user information; data processing and modeling are configured to be a data source formed according to the data collection, and formed target user information completes data cleaning through BI deployment, architecture design, data warehouse building and BI analysis application; generating 3 state information of the target user; predicting risks by deployment modeling according to target user information and 3 pieces of state information generated by the configuration, and generating a health risk assessment report; a data algorithm configured to match data algorithms of different models based on the data collection, data processing and modeling: association analysis (Apriori), classification analysis, clustering analysis (K-Means), link mining (PageRank), predictive model analysis and the like to generate a 6-level care plan for a target user; and the data application is configured to generate a 6-level nursing plan according to the data algorithm, and can be sent to a target or enabled to a data application layer through different data applications such as intelligent medical treatment, case research, state detection, disease prevention, pathogen tracing and the like.
One of the above-described various embodiments of the present disclosure has the following advantageous effects: acquiring basic information of a target user from target equipment; selecting a target state from preset states as the state information of the target user according to the basic information; evaluating the target user according to the state information and the basic information to obtain evaluation data; selecting a target prevention mode from preset prevention modes as the target user prevention mode according to the evaluation data; and determining the care level of the target user and generating a corresponding care plan according to the target user prevention mode, the evaluation data and the target user state information. Therefore, the personalized and customized nursing scheme which is more suitable for the user requirements is generated for the user by utilizing the information of the user, the generation of the nursing scheme which does not depend on manpower is realized, and the pressure of medical resources in the blind medical treatment aspect is reduced.
With further reference to fig. 3, as an implementation of the methods illustrated in the above figures, the present disclosure provides some embodiments of a care plan generation apparatus, corresponding to those method embodiments illustrated in fig. 2, which may be particularly applicable in various electronic devices.
As shown in fig. 3, the care plan generating apparatus 300 of some embodiments includes: an acquisition unit 301, a first selection unit 302, an evaluation unit 303, a second selection unit 304 and a generation unit 305. An acquisition unit 301 configured to acquire basic information of a target user from a target device; a first selecting unit 302 configured to select a target state from preset states as the state information of the target user according to the basic information; an evaluation unit 303 configured to evaluate the target user according to the status information and the basic information to obtain evaluation data; a second selecting unit 304, configured to select a target prevention manner from preset prevention manners as the target user prevention manner according to the evaluation data; a generating unit 305 configured to determine a care level of the target user and generate a corresponding care plan according to the target user prevention manner, the evaluation data, and the target user status information.
In an optional implementation manner of some embodiments, the apparatus further includes a sending unit configured to send the care plan to a device of a target user; responding to the detected modification operation of the user for the nursing plan, and sending prompt information to the target user according to the modification operation; in response to the detection of the confirmation operation of the user for the prompt message, modifying the care plan according to the modification operation of the target user, and sending the modified care plan to the target user; in response to detecting the confirmation operation of the target user for the modified care plan, acquiring a confirmation signature of the target user; and sending the confirmation signature and the care plan confirmed by the target user to a target nursing staff.
In an optional implementation of some embodiments, the apparatus further includes a receiving unit configured to receive a care report of the target caregiver; and generating a data chain of the target user according to the confirmation signature of the target user, the nursing report, the nursing scheme, the basic information of the target user and the evaluation data, and storing the data chain.
In an optional implementation manner of some embodiments, the basic information of the target user includes: identity information, past case information, illness history, and hereditary history information.
In an optional implementation manner of some embodiments, the preset state includes: sub-health/sub-clinical status, acute/chronic status, and disability/critical/terminal status.
In an optional implementation manner of some embodiments, the preset prevention manner includes: sub-health care prevention, sub-clinical care prevention, home care prevention after acute stage of disease, chronic disease care management prevention and disability critical care prevention
In an optional implementation manner of some embodiments, the generating unit is further configured to determine the target user care level from the following care levels according to the target user prevention manner, the evaluation data and the status information: level 1 care-home is heavily/near end; level 2 care-physical disability; level 3 nursing-home rehabilitation after an emergency; grade 4 care-chronic disease; grade 5 care-subclinical; grade 6 care-sub-health; generating a preventive measure set and a care measure set for the target user according to the evaluation data of the target user, the preventive mode of the target user, the state information of the target user and the care level of the target user; and generating a care plan for the target user according to the evaluation data, the preventive measure set and the care measure set.
It will be understood that the units described in the apparatus 300 correspond to the various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 300 and the units included therein, and are not described herein again.
One of the above-described various embodiments of the present disclosure has the following advantageous effects: acquiring basic information of a target user from target equipment; selecting a target state from preset states as the state information of the target user according to the basic information; evaluating the target user according to the state information and the basic information to obtain evaluation data; selecting a target prevention mode from preset prevention modes as the target user prevention mode according to the evaluation data; and determining the care level of the target user and generating a corresponding care plan according to the target user prevention mode, the evaluation data and the target user state information. Therefore, the personalized and customized nursing scheme which is more suitable for the user requirements is generated for the user by utilizing the information of the user, the generation of the nursing scheme which does not depend on manpower is realized, and the pressure of medical resources in the blind medical treatment aspect is reduced.
Referring now to fig. 4, a schematic diagram of an electronic device (e.g., the server of fig. 1) 400 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 4, electronic device 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage device 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, tape, hard disk, etc.; and a communication device 409. The communication device 409 may allow the electronic device 400 to communicate with other devices, either wirelessly or by wire, to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 4 may represent one device or may represent multiple devices, as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 409, or from the storage device 408, or from the ROM 402. The computer program, when executed by the processing apparatus 401, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described above in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: 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 some embodiments of the disclosure, 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. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. 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: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring basic information of a target user from target equipment; selecting a target state from preset states as the state information of the target user according to the basic information; evaluating the target user according to the state information and the basic information to obtain evaluation data; selecting a target prevention mode from preset prevention modes as the target user prevention mode according to the evaluation data; and determining the care level of the target user and generating a corresponding care plan according to the target user prevention mode, the evaluation data and the target user state information.
Computer program code for carrying out operations for embodiments of the present disclosure 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 type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor comprises an acquisition unit, a first selection unit, an evaluation unit, a second selection unit and a generation unit. The names of these units do not in some cases constitute a limitation on the units themselves, and for example, the acquisition unit may also be described as a "unit that acquires basic information of a target user from a target device".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems on a chip (SOCs), complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (10)
1. A care plan generation method comprising:
acquiring basic information of a target user from target equipment;
selecting a target state from preset states as the state information of the target user according to the basic information;
evaluating the target user according to the state information and the basic information to obtain evaluation data;
selecting a target prevention mode from preset prevention modes as the target user prevention mode according to the evaluation data;
and determining the care level of the target user and generating a corresponding care scheme according to the prevention mode of the target user, the evaluation data and the state information of the target user.
2. The method of claim 1, wherein the method further comprises:
sending the care plan to a device of a target user;
in response to detecting a modification operation of a user for the care plan, sending prompt information for a target user according to the modification operation;
in response to the detection of the confirmation operation of the user for the prompt message, modifying the care plan according to the modification operation of the target user, and sending the modified care plan to the target user;
in response to detecting a confirmation operation of the target user for the modified care plan, obtaining a confirmation signature of the target user;
and sending the confirmation signature and the care plan confirmed by the target user to a target nursing staff.
3. The method of claim 2, wherein the method further comprises:
receiving a care report of a target caregiver;
and generating a data chain of the target user according to the confirmation signature of the target user, the nursing report, the nursing scheme, the basic information of the target user and the evaluation data, and storing the data chain.
4. The method of claim 1, wherein the base information of the target user comprises: identity information, past case information, illness history, and hereditary history information.
5. The method of claim 1, wherein the preset state comprises: sub-health/sub-clinical status, acute/chronic status, and disability/critical/terminal status.
6. The method of claim 1, wherein the predetermined preventative measures include:
sub-health care prevention, sub-clinical care prevention, home care prevention after the acute stage of a disease, chronic disease care management prevention, and disability critical care prevention.
7. The method of claim 1, wherein said determining a care level of the target user and generating a corresponding care plan based on the target user preventative measures, the assessment data and the status information comprises:
determining the target user care level from the following care levels based on the target user preventative measures, the assessment data and the status information:
level 1 care-home is heavily/near end;
level 2 care-physical disability;
grade 3 nursing-home rehabilitation after acute disease;
grade 4 nursing-chronic disease;
grade 5 care-subclinical;
grade 6 care-sub-health;
generating a preventive measure set and a nursing measure set aiming at the target user according to the evaluation data of the target user, the preventive mode of the target user, the state information of the target user and the nursing grade of the target user;
generating a care plan for the target user based on the assessment data, the set of preventative measures, and the set of care measures.
8. A care plan generation apparatus comprising:
an acquisition unit configured to acquire basic information of a target user from a target device;
a first selecting unit configured to select a target state from preset states as state information of the target user according to the basic information;
the evaluation unit is configured to evaluate the target user according to the state information and the basic information to obtain evaluation data;
a second selection unit configured to select a target prevention manner from preset prevention manners as the target user prevention manner according to the evaluation data;
a generating unit configured to determine a care level of the target user and generate a corresponding care plan according to the target user prevention manner, the evaluation data and the target user state information.
9. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
when executed by the plurality of processors, cause the plurality of processors to implement the method of any of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-7.
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| CN202211046358.9A CN115394399A (en) | 2022-08-30 | 2022-08-30 | Nursing plan generation method and device, electronic equipment and computer readable medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117831745A (en) * | 2024-03-06 | 2024-04-05 | 中国人民解放军海军青岛特勤疗养中心 | Remote nursing management method and system based on data analysis |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117831745A (en) * | 2024-03-06 | 2024-04-05 | 中国人民解放军海军青岛特勤疗养中心 | Remote nursing management method and system based on data analysis |
| CN117831745B (en) * | 2024-03-06 | 2024-05-07 | 中国人民解放军海军青岛特勤疗养中心 | Remote nursing management method and system based on data analysis |
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