CN109360638B - Evaluation plan generation method and device, electronic device and storage medium - Google Patents
Evaluation plan generation method and device, electronic device and storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides an assessment plan generation method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring evaluation data of each item to be evaluated from a current evaluation result of the target object; matching the evaluation data of the item to be evaluated with a preset evaluation plan rule corresponding to the item to be evaluated; and generating a subsequent evaluation plan of each item to be evaluated of the target object based on the matching result. The technical scheme of the embodiment of the invention can standardize and automatically generate the evaluation plan of the target object and dynamically adjust the evaluation plan of the target object.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to an evaluation plan generation method, an evaluation plan generation apparatus, an electronic device, and a computer-readable storage medium.
Background
With the increasing level of economic technology, the demand for medical care is increasing. Nursing assessment is the basis of the whole nursing program, and if the nursing assessment is not carried out in time, the time for discovering resident nursing problems is delayed, and the nursing quality is affected, so the nursing assessment is concerned more and more.
At present, in the technical scheme of generating a care assessment plan, a medical staff member generally makes a subsequent assessment plan according to experience after completing assessment on a target object. Taking the endowment community as an example, in the nursing evaluation of the endowment community, medical staff evaluate nursing objects according to collected data information, and a follow-up evaluation plan is manually formulated according to an evaluation result. In the technical scheme, on one hand, the workload of medical staff is large, and the labor cost is high; on the other hand, different people have different judgment criteria, and the evaluation plan cannot be generated in a standardized and automatic manner.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the invention and therefore may include information that does not constitute prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
An object of the embodiments of the present invention is to provide an evaluation plan generating method, an evaluation plan generating apparatus, an electronic device, and a computer-readable storage medium, which overcome at least to some extent the problem that an evaluation plan cannot be generated in a standardized and automatic manner due to the limitations and disadvantages of the related art.
According to a first aspect of the embodiments of the present invention, there is provided an evaluation plan generating method including: acquiring evaluation data of each item to be evaluated from a current evaluation result of the target object; matching the evaluation data of the item to be evaluated with a preset evaluation plan rule corresponding to the item to be evaluated; and generating a subsequent evaluation plan of each item to be evaluated of the target object based on the matching result.
In some exemplary embodiments of the present invention, based on the foregoing scheme, matching the evaluation data of the item to be evaluated with a preset evaluation plan rule corresponding to the item to be evaluated includes: determining a preset evaluation plan rule corresponding to the item to be evaluated in a rule engine based on the identification information of the item to be evaluated; and matching the evaluation data of the item to be evaluated with the preset evaluation plan rule through the rule engine.
In some exemplary embodiments of the present invention, based on the foregoing scheme, generating a subsequent evaluation plan for each item to be evaluated of the target object based on the matching result includes: determining the subsequent evaluation date of the corresponding item to be evaluated based on the matched preset evaluation plan rule; and generating a subsequent evaluation plan of the item to be evaluated of the target object based on the subsequent evaluation date and the matched preset evaluation plan rule.
In some exemplary embodiments of the present invention, based on the foregoing scheme, matching the evaluation data of the item to be evaluated with a preset evaluation plan rule corresponding to the item to be evaluated includes: acquiring a preset evaluation plan rule group corresponding to the item to be evaluated based on the identification information of the item to be evaluated; and matching the evaluation data of the item to be evaluated with a preset evaluation plan rule in the preset evaluation plan rule group.
In some exemplary embodiments of the present invention, based on the foregoing scheme, after generating a subsequent evaluation plan for each item to be evaluated of the target object based on the matching result, the evaluation plan generating method further includes: canceling an evaluation plan which is identical in evaluation content to the evaluation plan of the target object and whose evaluation date is subsequent to the evaluation date of the evaluation plan of the target object.
In some exemplary embodiments of the present invention, based on the foregoing scheme, generating a subsequent evaluation plan for each item to be evaluated of the target object based on the matching result includes: determining the priority of each item to be evaluated of the target object; and generating a subsequent evaluation plan of each item to be evaluated of the target object based on the matching result and the priority of each item to be evaluated.
In some exemplary embodiments of the present invention, determining the priority of each item to be evaluated of the target object based on the foregoing scheme includes: and determining the priority of each item to be evaluated of the target object based on the historical evaluation data of the target object.
According to a second aspect of the embodiments of the present invention, there is provided an evaluation plan generating apparatus including: the data acquisition unit is used for acquiring the evaluation data of each item to be evaluated from the current evaluation result of the target object; the matching unit is used for matching the evaluation data of the item to be evaluated with a preset evaluation plan rule corresponding to the item to be evaluated; and the evaluation plan generating unit is used for generating a subsequent evaluation plan of each item to be evaluated of the target object based on the matching result.
According to a third aspect of embodiments of the present invention, there is provided an electronic apparatus, including: a processor; and a memory having computer readable instructions stored thereon which, when executed by the processor, implement the assessment plan generation method as recited in any of the above.
According to a fourth aspect of embodiments of the present invention, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the evaluation plan generating method as recited in any one of the above.
In the technical solutions provided in some embodiments of the present invention, on one hand, the evaluation data of the item to be evaluated of the target object is matched with the corresponding preset evaluation plan rule, and the corresponding evaluation plan rule can be automatically matched according to the evaluation data of the target object; on the other hand, a subsequent evaluation plan of the item to be evaluated of the target object is generated based on the matching result, and the evaluation plan of the target object can be generated in a standardized and automatic manner, so that the labor cost can be reduced; in still another aspect, since the subsequent evaluation plan of the target subject can be automatically generated, the evaluation plan of the target subject can be dynamically adjusted, which is advantageous for providing high care quality.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
FIG. 1 illustrates a flow diagram of an assessment plan generation method according to some embodiments of the invention;
FIG. 2 illustrates a flow diagram of matching evaluation data to preset evaluation plan rules, according to some embodiments of the invention;
FIG. 3 shows a flow diagram of an assessment plan generation method according to further embodiments of the present invention;
FIG. 4 shows a schematic block diagram of an assessment plan generation apparatus according to some embodiments of the present invention;
FIG. 5 illustrates a schematic structural diagram of a computer system suitable for use with the electronic device to implement an embodiment of the invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus, a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to provide a thorough understanding of embodiments of the invention. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations or operations have not been shown or described in detail to avoid obscuring aspects of the invention.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
FIG. 1 illustrates a flow diagram of an assessment plan generation method according to some embodiments of the invention. The evaluation plan generating method in the exemplary embodiment of fig. 1 may be executed on a client side or a server side, and may include steps S110 to S130, which will be described in detail below.
Referring to fig. 1, in step S110, evaluation data of each item to be evaluated is acquired from the current evaluation result of the target object.
In an example embodiment, taking an endowment community as an example, the target object is a target resident or a target patient who enters the endowment community, after the target resident or the target patient enters the endowment community, the medical staff evaluates the target resident, and obtains current evaluation data, such as an evaluation score, of each item to be evaluated from the content of an evaluation scale of the target resident, such as a fall evaluation scale, a pressure sore evaluation scale and the like, wherein the items to be evaluated may include a fall risk evaluation item, a pressure sore risk evaluation item, a venous thrombosis risk evaluation item and the like. In addition, when the situation of the residents changes, for example, the residents tend to fall, the residents are evaluated in real time, and the evaluation data of each to-be-evaluated item of the residents are acquired according to the evaluated evaluation scale.
It should be noted that, in the example embodiment of the present invention, the item to be evaluated may further include: the evaluation items of daily life ability, medication condition, fall rehabilitation condition and the like are not particularly limited in the present invention.
Further, in the exemplary embodiment, the evaluation data of the item to be evaluated of the target object is the evaluation score of the evaluation item, but the exemplary embodiment of the present invention is not limited thereto, and for example, the evaluation data of the item to be evaluated may further include data of gender, age, and the like of the target object, which is also within the scope of the present invention.
In step S120, the evaluation data of the item to be evaluated is matched with a preset evaluation plan rule corresponding to the item to be evaluated.
In an example embodiment, the evaluation data, for example, the evaluation score of the to-be-evaluated item of the target object is matched with the preset evaluation plan rule corresponding to the to-be-evaluated item, for example, if the preset evaluation plan rule of the pressure sore risk evaluation item is that "if the total score of pressure sore risk evaluation is greater than 18 scores, then pressure sore risk evaluation is performed once after three months", and if the evaluation score of the pressure sore risk evaluation item of the target object is 20 scores, then the evaluation data of the pressure sore risk evaluation item of the target object is matched with the preset evaluation plan rule evaluation; and if the evaluation score of the pressure sore risk evaluation item of the target object is 15 points, the evaluation data of the pressure sore risk evaluation item of the target object is not matched with the preset evaluation plan rule evaluation.
In step S130, a subsequent evaluation plan of each of the items to be evaluated of the target object is generated based on the matching result.
In an example embodiment, a subsequent evaluation plan of the target object is determined based on a matching result of evaluation data of each item to be evaluated of the target object and a preset evaluation plan rule. Further, a subsequent evaluation date of the corresponding item to be evaluated is determined based on the matched preset evaluation plan rule, and a subsequent evaluation plan of the item to be evaluated of the target object is generated based on the subsequent evaluation date and the matched preset evaluation plan rule. For example, if the preset evaluation rule matched by the fall risk evaluation item of the target object is 30 days later for fall risk evaluation, the preset evaluation rule matched by the pressure sore risk evaluation item is 90 days later for pressure sore risk evaluation, and the preset evaluation rule matched by the venous thrombus risk evaluation item is 15 days later for venous thrombus risk evaluation, the evaluation plan of the to-be-evaluated item of the target object may be as shown in table 1 below:
TABLE 1 evaluation plan of target object
| Next evaluation scale | Next evaluation interval |
| Fall risk assessment | 30 days |
| Pressure sore risk assessment | 90 days |
| Venous thrombosis risk assessment | 30 days |
According to the evaluation plan generating method in the exemplary embodiment of fig. 1, on one hand, the evaluation data of the item to be evaluated of the target object is matched with the corresponding preset evaluation plan rule, and the corresponding evaluation plan rule can be automatically matched according to the evaluation data of the target object; on the other hand, a subsequent evaluation plan of the item to be evaluated of the target object is generated based on the matching result, and the evaluation plan of the target object can be generated in a standardized and automatic manner, so that the labor cost can be reduced; on the other hand, the subsequent evaluation plan of the target object can be automatically generated, so that the evaluation plan of the target object can be dynamically adjusted, and the nursing quality is favorably improved.
Further, in an example embodiment, a preset evaluation plan rule corresponding to an item to be evaluated in the rule engine is determined based on the identification information of the item to be evaluated. For example, a plurality of preset evaluation plan rules may be stored in the rule base, and the preset evaluation plan rule corresponding to the item to be evaluated may be searched from the rule base according to the identification information, such as a name or an index, of the item to be evaluated. And matching the evaluation data of the item to be evaluated with the searched preset evaluation plan rule through the rule engine. The preset fall assessment plan rules in the rule base are shown in table 2 below:
TABLE 2 Fall assessment planning rules
| Evaluating result scores | Next evaluation scale | Next evaluation interval |
| < 4 points | Fall risk assessment | 90 days |
| Not less than 4 points | Fall risk assessment | 30 days |
| Not less than 11 points | Fall recovery assessment | 30 days |
The rule engine is an engine that determines whether or not it can execute an action specified in a rule by matching a real-time condition of an operation time with a specified filter condition included in the rule. After the preset evaluation plan rule corresponding to the item to be evaluated is found, the found preset evaluation plan rule is matched according to the evaluation data of the item to be evaluated, such as the evaluation score. For example, if the evaluation score of the pressure sore risk evaluation item of the target object is 20 points, the preset evaluation plan rule of the found pressure sore risk evaluation item is "if the total score of the pressure sore risk evaluation is greater than 18 points, pressure sore risk evaluation is performed once after three months", and the evaluation data of the pressure sore risk evaluation item of the target object is matched with the preset evaluation plan rule evaluation.
In addition, in the example embodiment, when the situation of the target object changes, for example, when it is found that the patient tends to fall when walking, the target object needs to be evaluated in real time, and after the evaluation is completed, since the original evaluation plan of the target object does not adapt to the new situation, the evaluation plan which has the same evaluation content as the evaluation plan of the target object and has an evaluation date after the evaluation date of the evaluation plan of the target object is cancelled. For example, in 2018, 30/9, nurse B finds that resident a tends to fall when walking, performs fall risk assessment for the resident a once in real time, and after the assessment is completed, the total score of fall risk assessment items of the resident a is 13, and automatically generates the next assessment plan for the resident a according to the rule engine: evaluating the fall rehabilitation condition, wherein the planned evaluation date is 10 months and 30 days in 2018; meanwhile, the fall risk assessment of which the assessment date of the previously generated assessment plan is 11, 25 and 2018 is cancelled, and when the assessment plan of the resident nail is inquired, the fall rehabilitation condition assessment of which the date is 10, 30 and 2018 can be inquired.
Further, in order to make the evaluation plan more matched with the actual situation of the target object, in the example embodiment, the priority of each item to be evaluated of the target object is determined, and the evaluation plan of each item to be evaluated of the target object is generated based on the preset evaluation plan rule and the priority matched with each item to be evaluated of the target object. For example, when the evaluation dates of both items to be evaluated are 30 days, the items to be evaluated having a high priority are preferentially evaluated.
Further, in order to generate an evaluation plan of a target object more accurately, priorities of respective items to be evaluated of the target object are determined based on historical evaluation data of the target object. For example, if the score of a certain item to be evaluated, such as a pressure sore risk evaluation item, of the target object is high all the time in history, the priority of the certain item to be evaluated is set to be high, and if the score of the certain item to be evaluated, such as a fall risk evaluation item, is low all the time in history, the priority of the certain item to be evaluated is set to be low.
In addition, in the exemplary embodiment, the evaluation data of the item to be evaluated may include parameters such as age and sex in addition to the evaluation score. And when the item to be evaluated of the target object is matched with the preset evaluation plan rule, matching the evaluation score based on the gender and the age of the target object and the item to be evaluated with the preset evaluation plan rule. For example, when evaluating the medication condition of a target subject, the age of the target subject is 86 years and the sex of the target subject is obtained from evaluation data of the target subject, insulin is contained in the medication, and the matched preset evaluation planning rule is that the age is more than 85 years and insulin is contained in the medication, and the user condition evaluation is performed once after one month.
FIG. 2 illustrates a flow diagram of matching evaluation data to preset evaluation plan rules, according to some embodiments of the invention.
Referring to fig. 2, in step S210, a preset evaluation plan rule set corresponding to the item to be evaluated is obtained based on the identification information of the item to be evaluated.
In an example embodiment, a preset evaluation plan rule set corresponding to each item to be evaluated is stored in a rule base in advance, and an evaluation plan rule set corresponding to an evaluation item object is acquired from the rule base based on identification information of the item to be evaluated. The evaluation plan rules in the preset evaluation plan rule set may be the same evaluation plan rules as the items to be evaluated, or may be evaluation plan rules associated with the items to be evaluated. For example, the preset evaluation plan rule set of fall risk evaluation items may include the following evaluation rules: the falling risk assessment score is more than or equal to 4 points, and the next falling risk assessment is carried out after 30 days; the evaluation score of the fall risk is more than or equal to 11 points, and the evaluation of the fall rehabilitation condition is carried out every 15 days.
In step S220, the evaluation data of the item to be evaluated is matched with the preset evaluation plan rule in the preset evaluation plan rule set.
In an example embodiment, the evaluation data, e.g., the evaluation score, according to the item to be evaluated is matched with the preset evaluation plan rule in the preset evaluation plan rule group. For example, the items to be evaluated are fall risk evaluation items, and the fall risk evaluation items of the target object are matched with the following two evaluation rules when the score of the fall risk evaluation items is 12 minutes: the falling risk assessment score is more than or equal to 4 points, and the next falling risk assessment is carried out after 30 days; the evaluation score of the fall risk is more than or equal to 11 points, and the evaluation of the fall rehabilitation condition is carried out every 15 days.
FIG. 3 shows a flow diagram of an assessment plan generation method according to further embodiments of the present invention.
Referring to fig. 3, in step S310, an evaluation result is submitted after the completion of the care evaluation on the target object, for example, in the case of the endowment community, the target object is a target resident or a target patient who enters the endowment community, after the target resident or the target patient enters the endowment community, the medical staff performs the care evaluation on the target resident, and after the evaluation is completed, the evaluation result is submitted to the server.
In step S320, a next evaluation date of each item to be evaluated of the target object is determined according to the rule engine based on the evaluation result of each item to be evaluated of the target object. For example, a preset evaluation plan rule corresponding to each item to be evaluated is acquired from a rule base of the rule engine, the corresponding evaluation plan rule is matched based on the evaluation score of each item to be evaluated, and the evaluation date of each item to be evaluated is determined based on the matched preset evaluation plan rule.
In step S330, a subsequent evaluation plan for each item to be evaluated of the target object is generated based on the matched preset evaluation plan rule and the evaluation date. For example, on 27 months 8 and 8 in 2018, a nurse a performs fall risk assessment on a resident a in an endowment community, after the assessment is completed, the total score of fall risk assessment items of the resident a is 2, and a next assessment plan is automatically generated for the resident a according to a rule engine: fall risk assessment with planned assessment date of 2018, 11 month, 25 days.
In step S340, when the condition of the target object changes, the target object is re-evaluated, and a next evaluation plan is automatically generated according to the rule engine, and the previously generated evaluation plan is cancelled.
Further, in an exemplary embodiment of the present invention, an evaluation plan generating apparatus is also provided. Referring to fig. 4, the evaluation plan generating apparatus 400 includes: a data acquisition unit 410, a matching unit 420, and an evaluation plan generation unit 430. The data obtaining unit 410 is configured to obtain evaluation data of each item to be evaluated from a current evaluation result of the target object; the matching unit 420 is configured to match the evaluation data of the item to be evaluated with a preset evaluation plan rule corresponding to the item to be evaluated; the evaluation plan generating unit 430 is configured to generate a subsequent evaluation plan of each item to be evaluated of the target object based on the matching result.
In some exemplary embodiments of the present invention, based on the foregoing scheme, the matching unit 420 includes: the rule determining unit is used for determining a preset evaluation plan rule corresponding to the item to be evaluated in a rule engine based on the identification information of the item to be evaluated; and the first matching unit is used for matching the evaluation data of the item to be evaluated with the preset evaluation plan rule through the rule engine.
In some exemplary embodiments of the present invention, based on the foregoing, the evaluation plan generating unit 430 includes: the evaluation date determining unit is used for determining the subsequent evaluation date of the corresponding item to be evaluated based on the matched preset evaluation plan rule; and the first plan generating unit is used for generating a subsequent evaluation plan of the item to be evaluated of the target object based on the subsequent evaluation date and the matched preset evaluation plan rule.
In some exemplary embodiments of the present invention, based on the foregoing scheme, the matching unit 420 includes: a rule group obtaining unit, configured to obtain a preset evaluation plan rule group corresponding to the item to be evaluated based on the identification information of the item to be evaluated; and the second matching unit is used for matching the evaluation data of the item to be evaluated with the preset evaluation plan rule in the preset evaluation plan rule group.
In some exemplary embodiments of the present invention, based on the foregoing, the evaluation plan generating apparatus 400 further includes: and the cancellation unit is used for cancelling the evaluation plan which has the same evaluation content as the evaluation plan of the target object and has an evaluation date after the evaluation date of the evaluation plan of the target object after the subsequent evaluation plan of each to-be-evaluated item of the target object is generated based on the matching result.
In some exemplary embodiments of the present invention, based on the foregoing, the evaluation plan generating unit 430 includes: the priority determining unit is used for determining the priority of each item to be evaluated of the target object; and the second plan generating unit is used for generating a subsequent evaluation plan of each item to be evaluated of the target object based on the matching result and the priority of each item to be evaluated.
In some exemplary embodiments of the present invention, based on the foregoing scheme, the priority determining unit is configured to: and determining the priority of each item to be evaluated of the target object based on the historical evaluation data of the target object.
Since each functional module of the evaluation plan generating apparatus 400 according to the exemplary embodiment of the present invention corresponds to the step of the above-described exemplary embodiment of the evaluation plan generating method, it is not described herein again.
In an exemplary embodiment of the present invention, there is also provided an electronic device capable of implementing the above method.
Referring now to FIG. 5, shown is a block diagram of a computer system 500 suitable for use in implementing an electronic device of an embodiment of the present invention. The computer system 500 of the electronic device shown in fig. 5 is only an example, and should not bring any limitation to the function and the scope of the use of the embodiments of the present invention.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for system operation are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the invention 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 such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The above-described functions defined in the system of the present application are executed when the computer program is executed by the Central Processing Unit (CPU) 501.
It should be noted that the computer readable medium shown in the present invention can 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 the present invention, 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 the present invention, 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: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
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 invention. 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 or flowchart illustration, and combinations of blocks in the block diagrams 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 the embodiments of the present invention may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.
As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; 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 implement the evaluation plan generating method as described in the above embodiments.
For example, the electronic device may implement the following as shown in fig. 1: step S110, obtaining the evaluation data of each item to be evaluated from the current evaluation result of the target object; matching the evaluation data of the item to be evaluated with a preset evaluation plan rule corresponding to the item to be evaluated; and generating a subsequent evaluation plan of each item to be evaluated of the target object based on the matching result.
It should be noted that although in the above detailed description several modules or units of a device or apparatus for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the invention. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiment of the present invention.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (5)
1. An evaluation plan generation method, comprising:
acquiring evaluation data of each item to be evaluated from a current evaluation result of the target object;
determining a preset evaluation plan rule corresponding to the item to be evaluated based on the identification information of the item to be evaluated, and matching evaluation data of the item to be evaluated and attribute data of the target object in the preset evaluation plan rule to obtain a matching result;
generating a subsequent evaluation plan of each item to be evaluated of the target object based on the matching result;
withdrawing an evaluation plan which has the same evaluation content as the evaluation plan of the target object and has an evaluation date after the evaluation date of the evaluation plan of the target object, and keeping a record of evaluation plans having evaluation dates before the evaluation date of the evaluation plan of the target object;
determining a preset evaluation plan rule corresponding to the item to be evaluated based on the identification information of the item to be evaluated, and matching evaluation data of the item to be evaluated and attribute data of the target object in the preset evaluation plan rule to obtain a matching result, wherein the method comprises the following steps:
determining a preset evaluation plan rule corresponding to the item to be evaluated in a rule engine based on the identification information of the item to be evaluated, and matching evaluation data of the item to be evaluated and attribute data of the target object with the preset evaluation plan rule through the rule engine; the rule engine is used for judging whether the evaluation data of the item to be evaluated and the attribute data of the target object match the filter conditions specified in the preset evaluation plan rule or not;
acquiring a preset evaluation plan rule group corresponding to the item to be evaluated based on the identification information of the item to be evaluated, and matching the evaluation data of the item to be evaluated and the attribute data of the target object with preset evaluation plan rules in the preset evaluation plan rule group;
the generating of the subsequent evaluation plan of each item to be evaluated of the target object based on the matching result comprises:
determining the priority of each item to be evaluated of the target object based on the historical evaluation data of the target object;
and generating a subsequent evaluation plan of each item to be evaluated of the target object based on the matching result and the priority of each item to be evaluated.
2. The evaluation plan generating method according to claim 1, wherein generating a subsequent evaluation plan for each of the items to be evaluated of the target object based on the matching result includes:
determining the subsequent evaluation date of the corresponding item to be evaluated based on the matched preset evaluation plan rule;
and generating a subsequent evaluation plan of the item to be evaluated of the target object based on the subsequent evaluation date and the matched preset evaluation plan rule.
3. An evaluation plan generation apparatus, comprising:
the data acquisition unit is used for acquiring the evaluation data of each item to be evaluated from the current evaluation result of the target object;
the matching unit is used for determining a preset evaluation plan rule corresponding to the item to be evaluated based on the identification information of the item to be evaluated, and matching the evaluation data of the item to be evaluated and the attribute data of the target object in the preset evaluation plan rule to obtain a matching result;
an evaluation plan generating unit, configured to generate a subsequent evaluation plan of each item to be evaluated of the target object based on a matching result; and cancelling an evaluation plan which has the same evaluation content as the evaluation plan of the target object and whose evaluation date is after the evaluation date of the evaluation plan of the target object;
determining a preset evaluation plan rule corresponding to the item to be evaluated based on the identification information of the item to be evaluated, and matching evaluation data of the item to be evaluated and attribute data of the target object in the preset evaluation plan rule to obtain a matching result, wherein the method comprises the following steps:
determining a preset evaluation plan rule corresponding to the item to be evaluated in a rule engine based on the identification information of the item to be evaluated, and matching evaluation data of the item to be evaluated and attribute data of the target object with the preset evaluation plan rule through the rule engine; or
Acquiring a preset evaluation plan rule group corresponding to the item to be evaluated based on the identification information of the item to be evaluated, and matching the evaluation data of the item to be evaluated and the attribute data of the target object with preset evaluation plan rules in the preset evaluation plan rule group;
the generating of the subsequent evaluation plan of each item to be evaluated of the target object based on the matching result comprises:
determining the priority of each item to be evaluated of the target object based on the historical evaluation data of the target object;
and generating a subsequent evaluation plan of each item to be evaluated of the target object based on the matching result and the priority of each item to be evaluated.
4. An electronic device, comprising:
a processor; and
a memory having computer readable instructions stored thereon which, when executed by the processor, implement the assessment plan generation method of any of claims 1 to 2.
5. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, implements the evaluation plan generating method according to any one of claims 1 to 2.
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| CN103918221A (en) * | 2011-10-03 | 2014-07-09 | 阿尔卡特朗讯公司 | Rules engine evaluation for policy decisions |
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| CN107978347A (en) * | 2016-10-21 | 2018-05-01 | 佛山市顺德区顺达电脑厂有限公司 | Nursing decision householder method and system |
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