CN111933267B - Medical early warning method, device, computer equipment and computer readable storage medium - Google Patents

Medical early warning method, device, computer equipment and computer readable storage medium Download PDF

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Publication number
CN111933267B
CN111933267B CN202010898987.9A CN202010898987A CN111933267B CN 111933267 B CN111933267 B CN 111933267B CN 202010898987 A CN202010898987 A CN 202010898987A CN 111933267 B CN111933267 B CN 111933267B
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information
medical
prescription
target
practice
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CN111933267A (en
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张黎明
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Shenzhen Ping An Smart Healthcare Technology Co ltd
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Shenzhen Ping An Smart Healthcare Technology Co ltd
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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
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

The invention relates to the technical field of medical treatment, and provides a medical treatment early warning method, a medical treatment early warning device, computer equipment and a computer readable storage medium. The medical early warning method comprises the following steps: calculating a medical qualification expiration time of each medical unit according to the medical qualification information of each medical unit at the first time, and calculating a practice expiration time of each doctor according to the practice information of each doctor; associating and storing a plurality of medical qualification information of medical units with consistent medical qualification expiration times, and associating and storing a plurality of practice information of doctors with consistent practice expiration times; acquiring a plurality of prescription information at a second time; determining a target medical qualification information set with medical qualification expiration time consistent with the second time, and determining a target practice information set with practice expiration time consistent with the second time; when the computer equipment is in a target state, the prescription information is a first prescription to be pre-warned or a second prescription to be pre-warned, and pre-warning information is sent to a target medical institution and a target doctor. The invention improves the medical early warning speed.

Description

Medical early warning method, device, computer equipment and computer readable storage medium
Technical Field
The invention relates to the technical field of medical treatment, in particular to a medical treatment early warning method, a medical treatment early warning device, computer equipment and a computer readable storage medium.
Background
The medical administration party needs to give an early warning of prescriptions of medical units or doctors. A large amount of medical data needs to be accumulated from a large number of medical institutions before early warning, and the situations of delayed early warning can be caused by excessive medical data and excessive medical units or doctors.
How to improve the medical early warning speed becomes a problem to be solved.
Disclosure of Invention
In view of the foregoing, there is a need for a medical early warning method, apparatus, computer device, and computer-readable storage medium that can perform medical early warning and increase the speed of medical early warning.
A first aspect of the present application provides a medical pre-warning method, the medical pre-warning method comprising:
receiving medical qualification information for a plurality of medical units and practice information for a plurality of doctors at a first time;
calculating a medical qualification expiration time of each medical unit according to medical qualification information of the medical unit, and calculating a practice expiration time of each doctor according to practice information of the doctor;
associating and storing a plurality of medical qualification information of medical units with consistent medical qualification expiration time to obtain a plurality of medical qualification information groups, and associating and storing a plurality of practice information of doctors with consistent practice expiration time to obtain a plurality of practice information groups;
Acquiring a plurality of prescription information at a second time after the first time, wherein each prescription information comprises medical unit information, doctor information and prescription drug information;
determining a target medical qualification information set with medical qualification expiration time consistent with the second time, and determining a target practice information set with practice expiration time consistent with the second time;
judging whether the computer equipment is in a target state with low computing resource utilization rate;
when the computer equipment is in the target state, judging whether the prescription information is a first prescription to be pre-warned according to prescription drug information in the prescription information, and judging whether the prescription information is a second prescription to be pre-warned according to medical unit information, doctor information, the target medical qualification information group and the target practice information group in the prescription information;
when the prescription information is a first prescription to be pre-warned or a second prescription to be pre-warned, pre-warning information is sent to a target medical unit corresponding to medical unit information in the prescription information and a target doctor corresponding to doctor information in the prescription information.
In another possible implementation manner, the calculating the medical qualification expiration time of each medical unit according to the medical qualification information of the medical unit includes:
acquiring an early warning time threshold;
when receiving the medical qualification information of the medical institution, calculating the medical qualification expiration time of the medical institution according to the medical qualification information and the early warning time threshold; or (b)
When the history prescription information corresponding to the medical institution is acquired, calculating the medical qualification expiration time of the medical institution according to the medical qualification information and the early warning time threshold.
In another possible implementation, the determining whether the computer device is in a target state of low computing resource usage includes:
acquiring the historical concurrency and the historical CPU utilization rate of the computer equipment;
determining a target state threshold range according to the historical concurrency and the historical CPU utilization rate;
acquiring the current concurrency and the current CPU utilization rate of the computer equipment;
calculating a current state threshold according to the current concurrency and the current CPU utilization;
when the target state threshold range includes the current state threshold, determining whether the computer device is in a target state.
In another possible implementation manner, the determining whether the prescription information is the first prescription to be pre-warned according to the prescription drug information in the prescription information includes:
acquiring historical prescription information corresponding to the prescription information;
judging whether the prescription information is a first prescription to be pre-warned according to the historical prescription information.
In another possible implementation manner, the obtaining the historical prescription information corresponding to the prescription information includes:
searching the historical prescription information according to doctor information in the prescription information; and/or
Searching the historical prescription information according to the medical units in the prescription information.
In another possible implementation manner, the determining whether the prescription information is the first prescription to be pre-warned according to the historical prescription information includes:
acquiring a target drug, a quantity threshold of the target drug and a preset time period;
calculating a target quantity of the target drug in the historical prescription information within the preset time period;
when the target quantity is greater than the quantity threshold, determining whether the prescription information is a first prescription to be pre-warned;
and when the target quantity is smaller than or equal to the quantity threshold value, determining that the prescription information is not a first prescription to be pre-warned.
In another possible implementation manner, the determining whether the prescription information is the second prescription to be pre-warned according to the medical unit information, the doctor information, the target medical qualification information set, and the target practice information set in the prescription information includes:
searching medical unit information in the prescription information from the target medical qualification information group, and searching doctor information in the prescription information from the target practice information group;
when medical unit information in the prescription information is searched from the target medical qualification information group or doctor information in the prescription information is searched from the target practice information group, determining that the prescription information is a second prescription to be pre-warned;
when medical unit information in the prescription information is not found out from the target medical qualification information set and doctor information in the prescription information is not found out from the target practice information set, determining that the prescription information is not a second prescription to be pre-warned.
A second aspect of the present application provides a medical pre-warning device comprising:
a receiving module for receiving medical qualification information of a plurality of medical units and practice information of a plurality of doctors at a first time;
The calculation module is used for calculating the medical qualification expiration time of each medical unit according to the medical qualification information of the medical unit and calculating the practice expiration time of each doctor according to the practice information of the doctor;
the storage module is used for storing a plurality of medical qualification information of medical units with consistent medical qualification expiration time in an associated mode to obtain a plurality of medical qualification information groups, and storing a plurality of practice information of doctors with consistent practice expiration time in an associated mode to obtain a plurality of practice information groups;
the acquisition module is used for acquiring a plurality of prescription information at a second time after the first time, wherein each prescription information comprises medical unit information, doctor information and prescription medicine information;
a determining module, configured to determine a target medical qualification information set having a medical qualification expiration time consistent with the second time, and determine a target practice information set having a practice expiration time consistent with the second time;
the first judging module is used for judging whether the computer equipment is in a target state with low computing resource utilization rate;
a second judging module, configured to judge, when the computer device is in the target state, for each of the plurality of prescription information, whether the prescription information is a first prescription to be pre-warned according to prescription drug information in the prescription information, and judge whether the prescription information is a second prescription to be pre-warned according to medical unit information, doctor information, the target medical qualification information group, and the target practice information group in the prescription information;
And the early warning module is used for sending early warning information to a target medical unit corresponding to the medical unit information in the prescription information and a target doctor corresponding to the doctor information in the prescription information when the prescription information is a first prescription to be early warned or a second prescription to be early warned.
A third aspect of the present application provides a computer device comprising a processor for implementing the medical pre-warning method when executing computer readable instructions stored in a memory.
A fourth aspect of the present application provides a computer-readable storage medium having stored thereon computer-readable instructions that, when executed by a processor, implement the medical pre-warning method.
The invention receives medical qualification information of a plurality of medical units and practice information of a plurality of doctors at a first time; calculating a medical qualification expiration time of each medical unit according to medical qualification information of the medical unit, and calculating a practice expiration time of each doctor according to practice information of the doctor; associating and storing a plurality of medical qualification information of medical units with consistent medical qualification expiration time to obtain a plurality of medical qualification information groups, and associating and storing a plurality of practice information of doctors with consistent practice expiration time to obtain a plurality of practice information groups; acquiring a plurality of prescription information at a second time after the first time, wherein each prescription information comprises medical unit information, doctor information and prescription drug information; determining a target medical qualification information set with medical qualification expiration time consistent with the second time, and determining a target practice information set with practice expiration time consistent with the second time; judging whether the computer equipment is in a target state with low computing resource utilization rate; when the computer equipment is in the target state, judging whether the prescription information is a first prescription to be pre-warned according to prescription drug information in the prescription information, and judging whether the prescription information is a second prescription to be pre-warned according to medical unit information, doctor information, the target medical qualification information group and the target practice information group in the prescription information; when the prescription information is a first prescription to be pre-warned or a second prescription to be pre-warned, pre-warning information is sent to a target medical unit corresponding to medical unit information in the prescription information and a target doctor corresponding to doctor information in the prescription information. The medical qualification information sets and the practice information sets are calculated and stored in advance, so that the situations of instantaneous high concurrence and high calculation amount of the computer equipment are avoided, and the medical early warning speed is improved.
Drawings
Fig. 1 is a flowchart of a medical early warning method according to an embodiment of the present invention.
Fig. 2 is a block diagram of a medical early warning device according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a computer device according to an embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, and the described embodiments are merely some, rather than all, embodiments of the present invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
Preferably, the medical pre-warning method of the present invention is applied in one or more computer devices. The computer device is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and its hardware includes, but is not limited to, a microprocessor, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a programmable gate array (Field-Programmable Gate Array, FPGA), a digital processor (Digital Signal Processor, DSP), an embedded device, and the like.
The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer equipment can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.
Example 1
Fig. 1 is a flowchart of a medical early warning method according to an embodiment of the present invention. The medical early warning method is applied to computer equipment and used for medical early warning, and the medical early warning speed is improved.
As shown in fig. 1, the medical early warning method includes:
at a first time, medical qualification information for a plurality of medical units and practice information for a plurality of doctors is received 101.
The first time may include a plurality of first sub-times. For example, the first sub-times are first 08 in 2020, second 08 in 2020, third 08 in 2020, and fourth 08 in 2020.
Medical qualification information of one medical unit may be received on month 1 of 2020, medical qualification information of another medical unit may be received on month 2 of 2020, medical information of one doctor may be received on month 3 of 2020, and medical information of another doctor may be received on month 4 of 2020.
The plurality of medical institutions and the plurality of doctors may send medical qualification information and practice information to the computer device through clients.
102, calculating the medical qualification expiration time of each medical institution according to the medical qualification information of the medical institution, and calculating the practice expiration time of each doctor according to the practice information of the doctor.
In a specific embodiment, the calculating the medical qualification expiration time of each medical unit according to the medical qualification information of the medical unit includes:
acquiring an early warning time threshold;
when receiving the medical qualification information of the medical institution, calculating the medical qualification expiration time of the medical institution according to the medical qualification information and the early warning time threshold; or (b)
When the history prescription information corresponding to the medical institution is acquired, calculating the medical qualification expiration time of the medical institution according to the medical qualification information and the early warning time threshold.
The early warning time threshold may be a time period of the early warning or a time proportion of the early warning.
For example, the early warning time threshold is 9 days, the actual expiration time of medical qualification in the medical qualification information is 30 days of 2020, and the expiration time of medical qualification in the medical unit is 21 days of 2020.
For example, the early warning time threshold is 99% of time, the effective start time in the medical qualification information is 1 day, the effective end time is 100 days, and the medical qualification expiration time of the medical unit is 99 days.
103, associating and storing a plurality of medical qualification information of medical units with consistent medical qualification expiration time to obtain a plurality of medical qualification information groups, and associating and storing a plurality of practice information of doctors with consistent practice expiration time to obtain a plurality of practice information groups.
The plurality of medical qualification information sets and the plurality of practice information sets are calculated and stored in advance to avoid the situation that the computer equipment has instantaneous high concurrence and high calculation amount.
For example, a plurality of medical qualification information associations having medical qualification expiration times of 2020, 08, 29 are stored as one medical qualification information group; and storing a plurality of medical qualification information associations with medical qualification expiration time of 2020, 08 and 30 days as another medical qualification information group. Storing a plurality of practice information associations with a practice expiration time of 2020, 08 and 29 days as a practice information group; a plurality of the license information associations whose expiration time is 30 days of 08 in 2020 are stored as another set of the license information.
104, acquiring a plurality of prescription information at a second time after the first time, wherein each prescription information comprises medical unit information, doctor information and prescription drug information.
After receiving medical qualification information of a plurality of medical units and practice information of a plurality of doctors at the first time, prescription information transmitted by the plurality of medical units and the plurality of doctors through clients may be received at a second time.
For example, for a given medical unit, prescription information sent by the given medical unit via the client may be received at a second sub-time 2020, month 08, 03 after receiving medical qualification information for the given medical unit at a first sub-time 2020, month 08, 01. The second sub-time of receiving prescription information for the given medical unit is subsequent to the first sub-time of receiving medical qualification information for the given medical unit. For another given medical unit, after receiving medical qualification information for the given medical unit on 08-04 of a first sub-time 2020, prescription information sent by the given medical unit through the client may be received on 05 of a second sub-time 2020.
For a given prescription information, prescription drug information of the given prescription information is a unique drug identification; the prescription medicine information of the given prescription information is a unique identification of a doctor and corresponds to the doctor who inputs the prescription medicine; the medical unit information of the given prescription information is a unique identification of the medical unit and corresponds to the medical unit to which the doctor who inputs the prescription medicine belongs.
105, determining a target set of medical qualification information having a medical qualification expiration time consistent with the second time, and determining a target set of practice information having a practice expiration time consistent with the second time.
The medical qualification expiration time may be a pre-set time before the actual expiration time of the medical qualification. For example, the actual medical qualification expiration time of the medical qualification information set is 30 days 08 in 2020, the medical qualification expiration time of the medical qualification information set is 22 days 08 in 2020, and the preset time is 8.
The second time may be a current time.
For example, the current time is month 08 and 22 in 2020, and the medical qualification expiration time of the first medical qualification information set is month 08 and 22 in 2020. The medical qualification expiration time of the second medical qualification information set is 25 days 08 in 2020. The first set of medical qualification information is determined as the target set of medical qualification information.
For another example, the current time is 23 days 08 in 2020, and the first set of practice information has a practice expiration time of 24 days 08 in 2020. The second set of practice information has a practice expiration time of 2020, month 08 and 23. The second set of practice information is determined to be the target set of practice information.
106, determining whether the computer device is in a target state of low computing resource usage.
In a specific embodiment, the determining whether the computer device is in a target state of low computing resource usage includes:
Acquiring the historical concurrency and the historical CPU utilization rate of the computer equipment;
determining a target state threshold range according to the historical concurrency and the historical CPU utilization rate;
acquiring the current concurrency and the current CPU utilization rate of the computer equipment;
calculating a current state threshold according to the current concurrency and the current CPU utilization;
when the target state threshold range includes the current state threshold, determining whether the computer device is in a target state.
The determining the target state threshold range according to the historical concurrency and the historical CPU utilization rate comprises the following steps:
acquiring a preset concurrency weight and a preset use rate weight, wherein the preset concurrency weight and the preset use rate weight are 1;
for each historical time, calculating a state score of the computer equipment at each historical time according to the preset concurrency weight and the preset use rate weight;
determining state scores corresponding to a preset number of historical times with low state scores as a plurality of target state scores;
determining a lowest score of the plurality of target state scores as the target state threshold range lower limit and determining a highest score of the plurality of target state scores as the target state threshold range upper limit.
The calculating the state score of the computer equipment at each historical time according to the preset concurrency weight and the preset use ratio weight comprises the following steps:
multiplying the reciprocal of the concurrency corresponding to the historical time by the preset concurrency weight to obtain a first score;
multiplying the CPU utilization rate corresponding to the historical time by the preset utilization rate weight to obtain a second score;
and calculating the sum of the first score and the second score to obtain a state score of the computer equipment at the historical time.
The calculating the current state threshold according to the current concurrency and the current CPU utilization comprises:
multiplying the current concurrency quantity by the preset concurrency quantity weight to obtain a third score;
multiplying the current CPU utilization rate by the preset utilization rate weight to obtain a fourth score;
and calculating the sum of the fourth score and the third score to obtain the current state threshold value.
The target state may include a low concurrency state, a low memory usage state, a low read/write state to the hard disk, and/or a low CPU usage state, etc.
107, when the computer device is in the target state, for each prescription information in the plurality of prescription information, judging whether the prescription information is a first prescription to be pre-warned according to prescription drug information in the prescription information, and judging whether the prescription information is a second prescription to be pre-warned according to medical unit information, doctor information, the target medical qualification information group and the target practice information group in the prescription information.
In one embodiment, the determining whether the prescription information is the first prescription to be pre-warned according to the prescription drug information in the prescription information includes:
acquiring historical prescription information corresponding to the prescription information;
judging whether the prescription information is a first prescription to be pre-warned according to the historical prescription information.
In a specific embodiment, the obtaining the historical prescription information corresponding to the prescription information includes:
searching the historical prescription information according to doctor information in the prescription information; and/or
Searching the historical prescription information according to the medical units in the prescription information.
In one embodiment, the determining whether the prescription information is a first prescription to be pre-warned according to the historical prescription information includes:
acquiring a target drug, a quantity threshold of the target drug and a preset time period;
calculating a target quantity of the target drug in the historical prescription information within the preset time period;
when the target quantity is greater than the quantity threshold, determining whether the prescription information is a first prescription to be pre-warned;
and when the target quantity is smaller than or equal to the quantity threshold value, determining that the prescription information is not a first prescription to be pre-warned.
In a specific embodiment, the determining whether the prescription information is the second prescription to be pre-warned according to the medical unit information, the doctor information, the target medical qualification information set, and the target practice information set in the prescription information includes:
searching medical unit information in the prescription information from the target medical qualification information group, and searching doctor information in the prescription information from the target practice information group;
when medical unit information in the prescription information is searched from the target medical qualification information group or doctor information in the prescription information is searched from the target practice information group, determining that the prescription information is a second prescription to be pre-warned;
when medical unit information in the prescription information is not found out from the target medical qualification information set and doctor information in the prescription information is not found out from the target practice information set, determining that the prescription information is not a second prescription to be pre-warned.
108, when the prescription information is a first prescription to be pre-warned or a second prescription to be pre-warned, sending pre-warning information to a target medical unit corresponding to medical unit information in the prescription information and a target doctor corresponding to doctor information in the prescription information.
Specifically, when the prescription information is a first prescription to be pre-warned, pre-warning information can be sent to a target medical unit corresponding to medical unit information in the prescription information and a target doctor corresponding to doctor information in the prescription information through mail. When the prescription information is the second prescription to be pre-warned, pre-warning information can be sent to a target medical unit corresponding to medical unit information in the prescription information and a target doctor corresponding to doctor information in the prescription information through a short message.
The medical early warning method of the first embodiment receives medical qualification information of a plurality of medical units and practice information of a plurality of doctors at a first time; calculating a medical qualification expiration time of each medical unit according to medical qualification information of the medical unit, and calculating a practice expiration time of each doctor according to practice information of the doctor; associating and storing a plurality of medical qualification information of medical units with consistent medical qualification expiration time to obtain a plurality of medical qualification information groups, and associating and storing a plurality of practice information of doctors with consistent practice expiration time to obtain a plurality of practice information groups; acquiring a plurality of prescription information at a second time after the first time, wherein each prescription information comprises medical unit information, doctor information and prescription drug information; determining a target medical qualification information set with medical qualification expiration time consistent with the second time, and determining a target practice information set with practice expiration time consistent with the second time; judging whether the computer equipment is in a target state with low computing resource utilization rate; when the computer equipment is in the target state, judging whether the prescription information is a first prescription to be pre-warned according to prescription drug information in the prescription information, and judging whether the prescription information is a second prescription to be pre-warned according to medical unit information, doctor information, the target medical qualification information group and the target practice information group in the prescription information; when the prescription information is a first prescription to be pre-warned or a second prescription to be pre-warned, pre-warning information is sent to a target medical unit corresponding to medical unit information in the prescription information and a target doctor corresponding to doctor information in the prescription information. The medical qualification information sets and the practice information sets are calculated and stored in advance, so that the situations of instantaneous high concurrence and high calculation amount of the computer equipment are avoided, and the medical early warning speed is improved.
Example two
Fig. 2 is a block diagram of a medical early warning device according to a second embodiment of the present invention. The medical early warning device 20 is applied to computer equipment. The medical early warning device 20 is used for medical early warning and improves the speed of medical early warning.
As shown in fig. 2, the medical early warning device 20 may include a receiving module 201, a calculating module 202, a storing module 203, an obtaining module 204, a determining module 205, a first judging module 206, a second judging module 207, and an early warning module 208.
A receiving module 201 for receiving medical qualification information of a plurality of medical units and practice information of a plurality of doctors at a first time.
The first time may include a plurality of first sub-times. For example, the first sub-times are first 08 in 2020, second 08 in 2020, third 08 in 2020, and fourth 08 in 2020.
Medical qualification information of one medical unit may be received on month 1 of 2020, medical qualification information of another medical unit may be received on month 2 of 2020, medical information of one doctor may be received on month 3 of 2020, and medical information of another doctor may be received on month 4 of 2020.
The plurality of medical institutions and the plurality of doctors may send medical qualification information and practice information to the computer device through clients.
A calculation module 202, configured to calculate a medical qualification expiration time of each medical unit according to medical qualification information of the medical unit, and calculate a practice expiration time of each doctor according to practice information of the doctor.
In a specific embodiment, the calculating the medical qualification expiration time of each medical unit according to the medical qualification information of the medical unit includes:
acquiring an early warning time threshold;
when receiving the medical qualification information of the medical institution, calculating the medical qualification expiration time of the medical institution according to the medical qualification information and the early warning time threshold; or (b)
When the history prescription information corresponding to the medical institution is acquired, calculating the medical qualification expiration time of the medical institution according to the medical qualification information and the early warning time threshold.
The early warning time threshold may be a time period of the early warning or a time proportion of the early warning.
For example, the early warning time threshold is 9 days, the actual expiration time of medical qualification in the medical qualification information is 30 days of 2020, and the expiration time of medical qualification in the medical unit is 21 days of 2020.
For example, the early warning time threshold is 99% of time, the effective start time in the medical qualification information is 1 day, the effective end time is 100 days, and the medical qualification expiration time of the medical unit is 99 days.
The storage module 203 is configured to store a plurality of medical qualification information of medical units with consistent medical qualification expiration times in an associated manner, obtain a plurality of medical qualification information groups, and store a plurality of practice information of doctors with consistent medical qualification expiration times in an associated manner, obtain a plurality of practice information groups.
The plurality of medical qualification information sets and the plurality of practice information sets are calculated and stored in advance to avoid the situation that the computer equipment has instantaneous high concurrence and high calculation amount.
For example, a plurality of medical qualification information associations having medical qualification expiration times of 2020, 08, 29 are stored as one medical qualification information group; and storing a plurality of medical qualification information associations with medical qualification expiration time of 2020, 08 and 30 days as another medical qualification information group. Storing a plurality of practice information associations with a practice expiration time of 2020, 08 and 29 days as a practice information group; a plurality of the license information associations whose expiration time is 30 days of 08 in 2020 are stored as another set of the license information.
An obtaining module 204, configured to obtain a plurality of prescription information at a second time after the first time, where each prescription information includes medical unit information, doctor information, and prescription drug information.
After receiving medical qualification information of a plurality of medical units and practice information of a plurality of doctors at the first time, prescription information transmitted by the plurality of medical units and the plurality of doctors through clients may be received at a second time.
For example, for a given medical unit, prescription information sent by the given medical unit via the client may be received at a second sub-time 2020, month 08, 03 after receiving medical qualification information for the given medical unit at a first sub-time 2020, month 08, 01. The second sub-time of receiving prescription information for the given medical unit is subsequent to the first sub-time of receiving medical qualification information for the given medical unit. For another given medical unit, after receiving medical qualification information for the given medical unit on 08-04 of a first sub-time 2020, prescription information sent by the given medical unit through the client may be received on 05 of a second sub-time 2020.
For a given prescription information, prescription drug information of the given prescription information is a unique drug identification; the prescription medicine information of the given prescription information is a unique identification of a doctor and corresponds to the doctor who inputs the prescription medicine; the medical unit information of the given prescription information is a unique identification of the medical unit and corresponds to the medical unit to which the doctor who inputs the prescription medicine belongs.
A determining module 205, configured to determine a target set of medical qualification information having a medical qualification expiration time consistent with the second time, and determine a target set of practice information having a practice expiration time consistent with the second time.
The medical qualification expiration time may be a pre-set time before the actual expiration time of the medical qualification. For example, the actual medical qualification expiration time of the medical qualification information set is 30 days 08 in 2020, the medical qualification expiration time of the medical qualification information set is 22 days 08 in 2020, and the preset time is 8.
The second time may be a current time.
For example, the current time is month 08 and 22 in 2020, and the medical qualification expiration time of the first medical qualification information set is month 08 and 22 in 2020. The medical qualification expiration time of the second medical qualification information set is 25 days 08 in 2020. The first set of medical qualification information is determined as the target set of medical qualification information.
For another example, the current time is 23 days 08 in 2020, and the first set of practice information has a practice expiration time of 24 days 08 in 2020. The second set of practice information has a practice expiration time of 2020, month 08 and 23. The second set of practice information is determined to be the target set of practice information.
A first determining module 206 is configured to determine whether the computer device is in a target state with low computing resource usage.
In a specific embodiment, the determining whether the computer device is in a target state of low computing resource usage includes:
acquiring the historical concurrency and the historical CPU utilization rate of the computer equipment;
determining a target state threshold range according to the historical concurrency and the historical CPU utilization rate;
acquiring the current concurrency and the current CPU utilization rate of the computer equipment;
calculating a current state threshold according to the current concurrency and the current CPU utilization;
when the target state threshold range includes the current state threshold, determining whether the computer device is in a target state.
The determining the target state threshold range according to the historical concurrency and the historical CPU utilization rate comprises the following steps:
acquiring a preset concurrency weight and a preset use rate weight, wherein the preset concurrency weight and the preset use rate weight are 1;
for each historical time, calculating a state score of the computer equipment at each historical time according to the preset concurrency weight and the preset use rate weight;
determining state scores corresponding to a preset number of historical times with low state scores as a plurality of target state scores;
determining a lowest score of the plurality of target state scores as the target state threshold range lower limit and determining a highest score of the plurality of target state scores as the target state threshold range upper limit.
The calculating the state score of the computer equipment at each historical time according to the preset concurrency weight and the preset use ratio weight comprises the following steps:
multiplying the reciprocal of the concurrency corresponding to the historical time by the preset concurrency weight to obtain a first score;
multiplying the CPU utilization rate corresponding to the historical time by the preset utilization rate weight to obtain a second score;
and calculating the sum of the first score and the second score to obtain a state score of the computer equipment at the historical time.
The calculating the current state threshold according to the current concurrency and the current CPU utilization comprises:
multiplying the current concurrency quantity by the preset concurrency quantity weight to obtain a third score;
multiplying the current CPU utilization rate by the preset utilization rate weight to obtain a fourth score;
and calculating the sum of the fourth score and the third score to obtain the current state threshold value.
The target state may include a low concurrency state, a low memory usage state, a low read/write state to the hard disk, and/or a low CPU usage state, etc.
A second judging module 207, configured to, when the computer device is in the target state, judge, for each of the plurality of prescription information, whether the prescription information is a first prescription to be pre-warned according to prescription drug information in the prescription information, and judge, according to medical unit information, doctor information, the target medical qualification information set, and the target practice information set in the prescription information, whether the prescription information is a second prescription to be pre-warned.
In one embodiment, the determining whether the prescription information is the first prescription to be pre-warned according to the prescription drug information in the prescription information includes:
acquiring historical prescription information corresponding to the prescription information;
judging whether the prescription information is a first prescription to be pre-warned according to the historical prescription information.
In a specific embodiment, the obtaining the historical prescription information corresponding to the prescription information includes:
searching the historical prescription information according to doctor information in the prescription information; and/or
Searching the historical prescription information according to the medical units in the prescription information.
In one embodiment, the determining whether the prescription information is a first prescription to be pre-warned according to the historical prescription information includes:
acquiring a target drug, a quantity threshold of the target drug and a preset time period;
calculating a target quantity of the target drug in the historical prescription information within the preset time period;
when the target quantity is greater than the quantity threshold, determining whether the prescription information is a first prescription to be pre-warned;
and when the target quantity is smaller than or equal to the quantity threshold value, determining that the prescription information is not a first prescription to be pre-warned.
In a specific embodiment, the determining whether the prescription information is the second prescription to be pre-warned according to the medical unit information, the doctor information, the target medical qualification information set, and the target practice information set in the prescription information includes:
searching medical unit information in the prescription information from the target medical qualification information group, and searching doctor information in the prescription information from the target practice information group;
when medical unit information in the prescription information is searched from the target medical qualification information group or doctor information in the prescription information is searched from the target practice information group, determining that the prescription information is a second prescription to be pre-warned;
when medical unit information in the prescription information is not found out from the target medical qualification information set and doctor information in the prescription information is not found out from the target practice information set, determining that the prescription information is not a second prescription to be pre-warned.
And the early warning module 208 is configured to send early warning information to a target medical unit corresponding to medical unit information in the prescription information and a target doctor corresponding to doctor information in the prescription information when the prescription information is a first prescription to be early warned or a second prescription to be early warned.
Specifically, when the prescription information is a first prescription to be pre-warned, pre-warning information can be sent to a target medical unit corresponding to medical unit information in the prescription information and a target doctor corresponding to doctor information in the prescription information through mail. When the prescription information is the second prescription to be pre-warned, pre-warning information can be sent to a target medical unit corresponding to medical unit information in the prescription information and a target doctor corresponding to doctor information in the prescription information through a short message.
The medical pre-warning device 20 of the second embodiment receives medical qualification information of a plurality of medical units and medical practice information of a plurality of doctors at a first time; calculating a medical qualification expiration time of each medical unit according to medical qualification information of the medical unit, and calculating a practice expiration time of each doctor according to practice information of the doctor; associating and storing a plurality of medical qualification information of medical units with consistent medical qualification expiration time to obtain a plurality of medical qualification information groups, and associating and storing a plurality of practice information of doctors with consistent practice expiration time to obtain a plurality of practice information groups; acquiring a plurality of prescription information at a second time after the first time, wherein each prescription information comprises medical unit information, doctor information and prescription drug information; determining a target medical qualification information set with medical qualification expiration time consistent with the second time, and determining a target practice information set with practice expiration time consistent with the second time; judging whether the computer equipment is in a target state with low computing resource utilization rate; when the computer equipment is in the target state, judging whether the prescription information is a first prescription to be pre-warned according to prescription drug information in the prescription information, and judging whether the prescription information is a second prescription to be pre-warned according to medical unit information, doctor information, the target medical qualification information group and the target practice information group in the prescription information; when the prescription information is a first prescription to be pre-warned or a second prescription to be pre-warned, pre-warning information is sent to a target medical unit corresponding to medical unit information in the prescription information and a target doctor corresponding to doctor information in the prescription information. The medical qualification information sets and the practice information sets are calculated and stored in advance, so that the situations of instantaneous high concurrence and high calculation amount of the computer equipment are avoided, and the medical early warning speed is improved.
Example III
The present embodiment provides a computer readable storage medium having computer readable instructions stored thereon, which when executed by a processor, implement the steps in the above-described medical pre-warning method embodiment, such as steps 101-108 shown in fig. 1:
101, receiving medical qualification information of a plurality of medical units and practice information of a plurality of doctors at a first time;
102, calculating medical qualification expiration time of each medical unit according to medical qualification information of the medical unit, and calculating practice expiration time of each doctor according to practice information of the doctor;
103, associating and storing a plurality of medical qualification information of medical units with consistent medical qualification expiration time to obtain a plurality of medical qualification information groups, and associating and storing a plurality of practice information of doctors with consistent practice expiration time to obtain a plurality of practice information groups;
104, acquiring a plurality of prescription information at a second time after the first time, wherein each prescription information comprises medical unit information, doctor information and prescription drug information;
105, determining a target medical qualification information set with medical qualification expiration time consistent with the second time, and determining a target practice information set with practice expiration time consistent with the second time;
106, judging whether the computer equipment is in a target state with low computing resource utilization rate;
107, when the computer device is in the target state, for each prescription information in the plurality of prescription information, judging whether the prescription information is a first prescription to be pre-warned according to prescription drug information in the prescription information, and judging whether the prescription information is a second prescription to be pre-warned according to medical unit information, doctor information, the target medical qualification information group and the target practice information group in the prescription information;
108, when the prescription information is a first prescription to be pre-warned or a second prescription to be pre-warned, sending pre-warning information to a target medical unit corresponding to medical unit information in the prescription information and a target doctor corresponding to doctor information in the prescription information.
Alternatively, the computer readable instructions, when executed by a processor, implement the functions of the modules in the apparatus embodiments described above, such as modules 201-208 in fig. 2:
a receiving module 201 for receiving medical qualification information of a plurality of medical units and practice information of a plurality of doctors at a first time;
a calculation module 202, configured to calculate a medical qualification expiration time of each medical unit according to medical qualification information of the medical unit, and calculate a practice expiration time of each doctor according to practice information of the doctor;
A storage module 203, configured to store a plurality of medical qualification information of medical units with consistent medical qualification expiration times in an associated manner, to obtain a plurality of medical qualification information groups, and store a plurality of practice information of doctors with consistent practice expiration times in an associated manner, to obtain a plurality of practice information groups;
an obtaining module 204, configured to obtain a plurality of prescription information at a second time after the first time, where each prescription information includes medical unit information, doctor information, and prescription drug information;
a determining module 205, configured to determine a target set of medical qualification information whose medical qualification expiration time coincides with the second time, and determine a target set of practice information whose practice expiration time coincides with the second time;
a first determining module 206, configured to determine whether the computer device is in a target state with low computing resource usage;
a second judging module 207, configured to, when the computer device is in the target state, judge, for each of the plurality of prescription information, whether the prescription information is a first prescription to be pre-warned according to prescription drug information in the prescription information, and judge whether the prescription information is a second prescription to be pre-warned according to medical unit information, doctor information, the target medical qualification information set, and the target practice information set in the prescription information;
And the early warning module 208 is configured to send early warning information to a target medical unit corresponding to medical unit information in the prescription information and a target doctor corresponding to doctor information in the prescription information when the prescription information is a first prescription to be early warned or a second prescription to be early warned.
Example IV
Fig. 3 is a schematic diagram of a computer device according to a third embodiment of the present invention. The computer device 30 includes a memory 301, a processor 302, and computer readable instructions, such as medical pre-warning programs, stored in the memory 301 and executable on the processor 302. The processor 302, when executing the computer-readable instructions, implements the steps of the medical pre-warning method embodiments described above, such as 101-108 shown in fig. 1:
101, receiving medical qualification information of a plurality of medical units and practice information of a plurality of doctors at a first time;
102, calculating medical qualification expiration time of each medical unit according to medical qualification information of the medical unit, and calculating practice expiration time of each doctor according to practice information of the doctor;
103, associating and storing a plurality of medical qualification information of medical units with consistent medical qualification expiration time to obtain a plurality of medical qualification information groups, and associating and storing a plurality of practice information of doctors with consistent practice expiration time to obtain a plurality of practice information groups;
104, acquiring a plurality of prescription information at a second time after the first time, wherein each prescription information comprises medical unit information, doctor information and prescription drug information;
105, determining a target medical qualification information set with medical qualification expiration time consistent with the second time, and determining a target practice information set with practice expiration time consistent with the second time;
106, judging whether the computer equipment is in a target state with low computing resource utilization rate;
107, when the computer device is in the target state, for each prescription information in the plurality of prescription information, judging whether the prescription information is a first prescription to be pre-warned according to prescription drug information in the prescription information, and judging whether the prescription information is a second prescription to be pre-warned according to medical unit information, doctor information, the target medical qualification information group and the target practice information group in the prescription information;
108, when the prescription information is a first prescription to be pre-warned or a second prescription to be pre-warned, sending pre-warning information to a target medical unit corresponding to medical unit information in the prescription information and a target doctor corresponding to doctor information in the prescription information.
Alternatively, the computer readable instructions, when executed by a processor, implement the functions of the modules in the apparatus embodiments described above, such as modules 201-208 in fig. 2:
a receiving module 201 for receiving medical qualification information of a plurality of medical units and practice information of a plurality of doctors at a first time;
a calculation module 202, configured to calculate a medical qualification expiration time of each medical unit according to medical qualification information of the medical unit, and calculate a practice expiration time of each doctor according to practice information of the doctor;
a storage module 203, configured to store a plurality of medical qualification information of medical units with consistent medical qualification expiration times in an associated manner, to obtain a plurality of medical qualification information groups, and store a plurality of practice information of doctors with consistent practice expiration times in an associated manner, to obtain a plurality of practice information groups;
an obtaining module 204, configured to obtain a plurality of prescription information at a second time after the first time, where each prescription information includes medical unit information, doctor information, and prescription drug information;
a determining module 205, configured to determine a target set of medical qualification information whose medical qualification expiration time coincides with the second time, and determine a target set of practice information whose practice expiration time coincides with the second time;
A first determining module 206, configured to determine whether the computer device is in a target state with low computing resource usage;
a second judging module 207, configured to, when the computer device is in the target state, judge, for each of the plurality of prescription information, whether the prescription information is a first prescription to be pre-warned according to prescription drug information in the prescription information, and judge whether the prescription information is a second prescription to be pre-warned according to medical unit information, doctor information, the target medical qualification information set, and the target practice information set in the prescription information;
and the early warning module 208 is configured to send early warning information to a target medical unit corresponding to medical unit information in the prescription information and a target doctor corresponding to doctor information in the prescription information when the prescription information is a first prescription to be early warned or a second prescription to be early warned.
Illustratively, the computer readable instructions may be partitioned into one or more modules that are stored in the memory 301 and executed by the processor 302 to perform the present methods. The one or more modules may be a series of computer readable instructions capable of performing a particular function, the instruction describing the execution of the computer readable instructions in the computer device 30. For example, the computer readable instructions may be divided into a receiving module 201, a calculating module 202, a storing module 203, an obtaining module 204, a determining module 205, a first judging module 206, a second judging module 207, and an early warning module 208 in fig. 2, where the specific functions of each module are referred to in the second embodiment.
Those skilled in the art will appreciate that the schematic diagram 3 is merely an example of the computer device 30 and is not meant to be limiting of the computer device 30, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the computer device 30 may also include input and output devices, network access devices, buses, etc.
The processor 302 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor 302 may be any conventional processor or the like, the processor 302 being the control center of the computer device 30, with various interfaces and lines connecting the various parts of the overall computer device 30.
The memory 301 may be used to store the computer readable instructions and the processor 302 implements the various functions of the computer device 30 by executing or executing the computer readable instructions or modules stored in the memory 301 and invoking data stored in the memory 301. The memory 301 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data created according to the use of the computer device 30, or the like. In addition, the Memory 301 may include a hard disk, a Memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card), at least one magnetic disk storage device, a Flash Memory device, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or other nonvolatile/volatile storage device.
The modules integrated by the computer device 30 may be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product. Based on such understanding, the present invention may also be implemented by implementing all or part of the processes in the methods of the embodiments described above, by instructing the associated hardware by means of computer readable instructions, which may be stored in a computer readable storage medium, the computer readable instructions, when executed by a processor, implementing the steps of the respective method embodiments described above. Wherein the computer readable instructions comprise computer readable instruction code which may be in the form of source code, object code, executable files, or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying the computer readable instruction code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read Only Memory (ROM), a Random Access Memory (RAM), and so forth.
In the several embodiments provided in the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in hardware plus software functional modules.
The integrated modules, which are implemented in the form of software functional modules, may be stored in a computer readable storage medium. The software functional module is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute some of the steps of the medical pre-warning method according to the embodiments of the present invention.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned. Furthermore, it is evident that the word "comprising" does not exclude other modules or steps, and that the singular does not exclude a plurality. A plurality of modules or means recited in the system claims can also be implemented by means of one module or means in software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.

Claims (10)

1. The medical early warning method is characterized by comprising the following steps of:
receiving medical qualification information for a plurality of medical units and practice information for a plurality of doctors at a first time;
calculating a medical qualification expiration time of each medical unit according to medical qualification information of the medical unit, and calculating a practice expiration time of each doctor according to practice information of the doctor;
associating and storing a plurality of medical qualification information of medical units with consistent medical qualification expiration time to obtain a plurality of medical qualification information groups, and associating and storing a plurality of practice information of doctors with consistent practice expiration time to obtain a plurality of practice information groups;
acquiring a plurality of prescription information at a second time after the first time, wherein each prescription information comprises medical unit information, doctor information and prescription drug information;
determining a target medical qualification information set with medical qualification expiration time consistent with the second time, and determining a target practice information set with practice expiration time consistent with the second time;
judging whether the computer equipment is in a target state with low computing resource utilization rate;
when the computer equipment is in the target state, judging whether the prescription information is a first prescription to be pre-warned according to prescription drug information in the prescription information, and judging whether the prescription information is a second prescription to be pre-warned according to medical unit information, doctor information, the target medical qualification information group and the target practice information group in the prescription information;
When the prescription information is a first prescription to be pre-warned or a second prescription to be pre-warned, pre-warning information is sent to a target medical unit corresponding to medical unit information in the prescription information and a target doctor corresponding to doctor information in the prescription information.
2. The medical pre-warning method of claim 1, wherein the calculating a medical qualification expiration time for each medical unit based on the medical qualification information for the medical unit comprises:
acquiring an early warning time threshold;
when receiving the medical qualification information of the medical institution, calculating the medical qualification expiration time of the medical institution according to the medical qualification information and the early warning time threshold; or (b)
When the history prescription information corresponding to the medical institution is acquired, calculating the medical qualification expiration time of the medical institution according to the medical qualification information and the early warning time threshold.
3. The medical pre-warning method of claim 1, wherein the determining whether the computer device is in a target state of low computing resource usage comprises:
acquiring the historical concurrency and the historical CPU utilization rate of the computer equipment;
determining a target state threshold range according to the historical concurrency and the historical CPU utilization rate;
Acquiring the current concurrency and the current CPU utilization rate of the computer equipment;
calculating a current state threshold according to the current concurrency and the current CPU utilization;
when the target state threshold range includes the current state threshold, determining whether the computer device is in a target state.
4. The medical pre-warning method according to claim 1, wherein the determining whether the prescription information is a first prescription to be pre-warned based on prescription drug information in the prescription information comprises:
acquiring historical prescription information corresponding to the prescription information;
judging whether the prescription information is a first prescription to be pre-warned according to the historical prescription information.
5. The medical pre-warning method of claim 4, wherein the obtaining historical prescription information corresponding to the prescription information comprises:
searching the historical prescription information according to doctor information in the prescription information; and/or
Searching the historical prescription information according to the medical units in the prescription information.
6. The medical pre-warning method of claim 4, wherein said determining whether the prescription information is a first pre-warning prescription based on the historical prescription information comprises:
Acquiring a target drug, a quantity threshold of the target drug and a preset time period;
calculating a target quantity of the target drug in the historical prescription information within the preset time period;
when the target quantity is greater than the quantity threshold, determining whether the prescription information is a first prescription to be pre-warned;
and when the target quantity is smaller than or equal to the quantity threshold value, determining that the prescription information is not a first prescription to be pre-warned.
7. The medical pre-warning method according to claim 1, wherein the determining whether the prescription information is a second prescription to be pre-warned based on medical unit information, doctor information, and the target medical qualification information set, the target practice information set in the prescription information includes:
searching medical unit information in the prescription information from the target medical qualification information group, and searching doctor information in the prescription information from the target practice information group;
when medical unit information in the prescription information is searched from the target medical qualification information group or doctor information in the prescription information is searched from the target practice information group, determining that the prescription information is a second prescription to be pre-warned;
When medical unit information in the prescription information is not found out from the target medical qualification information set and doctor information in the prescription information is not found out from the target practice information set, determining that the prescription information is not a second prescription to be pre-warned.
8. A medical pre-warning device, the medical pre-warning device comprising:
a receiving module for receiving medical qualification information of a plurality of medical units and practice information of a plurality of doctors at a first time;
the calculation module is used for calculating the medical qualification expiration time of each medical unit according to the medical qualification information of the medical unit and calculating the practice expiration time of each doctor according to the practice information of the doctor;
the storage module is used for storing a plurality of medical qualification information of medical units with consistent medical qualification expiration time in an associated mode to obtain a plurality of medical qualification information groups, and storing a plurality of practice information of doctors with consistent practice expiration time in an associated mode to obtain a plurality of practice information groups;
the acquisition module is used for acquiring a plurality of prescription information at a second time after the first time, wherein each prescription information comprises medical unit information, doctor information and prescription medicine information;
A determining module, configured to determine a target medical qualification information set having a medical qualification expiration time consistent with the second time, and determine a target practice information set having a practice expiration time consistent with the second time;
the first judging module is used for judging whether the computer equipment is in a target state with low computing resource utilization rate;
a second judging module, configured to judge, when the computer device is in the target state, for each of the plurality of prescription information, whether the prescription information is a first prescription to be pre-warned according to prescription drug information in the prescription information, and judge whether the prescription information is a second prescription to be pre-warned according to medical unit information, doctor information, the target medical qualification information group, and the target practice information group in the prescription information;
and the early warning module is used for sending early warning information to a target medical unit corresponding to the medical unit information in the prescription information and a target doctor corresponding to the doctor information in the prescription information when the prescription information is a first prescription to be early warned or a second prescription to be early warned.
9. A computer device comprising a processor for executing computer readable instructions stored in a memory to implement the medical pre-warning method of any one of claims 1 to 7.
10. A computer readable storage medium having computer readable instructions stored thereon, wherein the computer readable instructions when executed by a processor implement the medical pre-warning method of any one of claims 1 to 7.
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