CN110097958A - A kind of doctor's intelligent scheduling scheduling method and system for internet medical services - Google Patents
A kind of doctor's intelligent scheduling scheduling method and system for internet medical services Download PDFInfo
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- CN110097958A CN110097958A CN201910329990.6A CN201910329990A CN110097958A CN 110097958 A CN110097958 A CN 110097958A CN 201910329990 A CN201910329990 A CN 201910329990A CN 110097958 A CN110097958 A CN 110097958A
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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
Abstract
The invention discloses a kind of doctor's intelligent scheduling scheduling methods and system for internet medical services, belong to smart shift scheduling field.This method comprises: acquisition historical traffic data and practical online doctor's quantity；Based on the historical traffic data, the prediction traffic data of following one day day part is predicted；Based on the prediction traffic data, doctor's quantity needed for predicting corresponding day part；Doctor's scheduling is carried out according to the online doctor's quantity of the reality and required doctor's quantity.This is used for doctor's intelligent scheduling scheduling method of internet medical services and system passes through the accurate prediction to medical consultation portfolio, economically arrange doctor's quantity, it works doctor and carries out rational management, guarantee the stable operation of business consultation, the complaint or doctor for avoiding user's queuing from effectively causing cause human cost to increase the free time, improve the economic and social benefits.
Description
Technical field
The invention belongs to smart shift scheduling fields, and in particular to a kind of doctor's intelligent scheduling row for internet medical services
Class's method and system.
Background technique
Online medical field Internet-based, user can carry out medical official communication by internet and doctor's online interaction
It askes, has broken traditional medical, micro- interrogation seeks advice from number as a on-line consulting further consultation and the macrotype platform of prescription daily
Broken 10W, prescription 6W multiple, online service doctor and pharmacist are more than thousand, and the medical resource for realizing cross-region is shared, are solved
In addition to the territory restriction of medical resource, the reasonable distribution of medical resource is realized.In keen competition situation, clothes how are improved
Business quality, attracts more users, the approval supervised is the main problem of development of company.The reputation of online doctor, skill
Can, attitude is no doubt important, and the management of platform is also that cannot be neglected with optimization.In consultation process, concern is not only customer
Facilitate material benefit, solve the problems, such as, also there is service quality.Online doctor is busy always, and customer waits in line always apparently not customer
Desired, majority would rather directly go to hospital clinic, also be unwilling to wait in line in pharmacy.Especially successful personage, they
It is more willing to spend more little money, is also unwilling to wait, for them, Time is money.In service product, service content
In the case where equivalent, service quality is the focus of competition, and the latter is only adjusted by the increase and decrease and management of online doctor.
For enterprise, increasing doctor means cost, and sometimes it also occur that the phenomenon that the wasting of resources, and doctor is very little, and will cause
Situations such as customer is lost, and wind comments influence.
With increasing for micro- interrogation terminating machine, medical consultation portfolio (in the present invention referred to as " portfolio ") is increasingly
It is more.There are users when heavy traffic to be lined up seriously for current online medical consultation, asks when receiving pharmacy's front end feedback
Topic has become serious, and free time doctor's redundancy is more, waste of manpower resource and cost.Therefore walking for future services amount is predicted
Gesture provides reference data to service the arrangement of doctor's number, and company's doctor's quantity as needed carries out rationally intelligence to doctor
Scheduling, within an acceptable range by the connection waiting time control of every business, while the preferential service for guaranteeing to ensure pharmacy, area
Quality, so that realizing the allocation optimum of company human resource under the precondition of real-time ensuring doctor's service level.
Patent of invention CN201811340151.6 for internet middle or short term medical consultation portfolio forecasting system and
In prediction technique, a kind of effective Traffic prediction method is proposed, but the method for not relating to doctor's intelligent scheduling.
In a kind of intelligent outpatient service Dispatching Control System of patent of invention CN201711148466.6, solves existing door
Examine low efficiency, patient's waiting time caused by the case where reservation system cannot register for reservation and scene is reasonably adjusted
Too long problem mainly prompts doctor according to the dissatisfaction that unsatisfactory degree functions calculate patient, and reminds patient
Sundry item inspection or other activities are carried out, what it is for solution is the long problem of one-to-one queuing time, belongs to intelligent queuing neck
The problem of domain, there is no doctor's intelligent dispatching methods suitable for internet medical services.
In a kind of intelligent outpatient service Dispatching Control System of patent of invention CN201810792608.0, what emphasis solved is to suffer from
After person's reservation, when patient is busy to be reached on time, nonsynchronous problem that cancellation is reserved and information for hospital timely updates,
For doctor provide patient see and treat patients number the problem of etc., the problem of being still not belonging to doctor smart shift scheduling field.
An a kind of key intelligent shift arrangement system suitable for convalescent home of patent of invention CN201810465062.8, mainly
It is the smart shift scheduling method proposed for the particularity and usage scenario of rehabilitation, is not suitable in internet medical services
Doctor's intelligent dispatching method.
It is with week in the online medical procedure of patent of invention CN201610951499.3 in the method and system of smart shift scheduling
The history for obtaining doctor for the period is seen and treated patients data online, and to calculate doctor daily in one week for data of being seen and treated patients online according to history
It averagely sees and treat patients the time, the time that doctor is averagely seen and treated patients in one week meets or exceeds date of time threshold of arranging an order according to class and grade as arranging an order according to class and grade
Day, and data of being seen and treated patients online according to history calculate the average work hours and average quitting time arranged an order according to class and grade in a few days, are existed according to doctor
The average work hours and average quitting time arranged an order according to class and grade in a few days generate arrange an order according to class and grade timetable of the doctor in typesetting in a few days, in day of arranging an order according to class and grade
Interior doctor registers after working, obtains doctor in the quitting time in a few days of arranging an order according to class and grade, when the time is more than to come off duty according to timetable of arranging an order according to class and grade
Between difference obtain or more than come off duty check out time threshold when, generate to come off duty and check out countdown, to check out countdown be zero coming off duty,
And it is micro- when receiving cancellation and checking out instruction, come off duty checks out.The invention is primarily to guarantee that entire online interrogation program does not go out
Existing confusion records the check-in of doctor in time and checks out, and to calculate the attendance of doctor, solves doctor in online medical platform and manages
Confusion, but do not refer to and how to arrange an order according to class and grade so that patient's queuing time is most short, doctor work saturation the problem of.
So needing a kind of doctor's intelligent dispatching method and system for efficiently, being easily used for internet medical services.
Summary of the invention
In order to solve said one of the existing technology or multiple technical problems, the present invention provides cure for internet
Treat the doctor's intelligent scheduling scheduling method and system of service, it is intended to according to historical traffic data, predict following one day day part
Traffic data, doctor's quantity needed for being calculated according to traffic data, and smart shift scheduling is carried out to each doctor, by every business
The control of connection waiting time within an acceptable range so that under the precondition of real-time ensuring doctor's service level, realize
The allocation optimum of company human resource.
To achieve the goals above, on the one hand, the present invention provides a kind of doctor's intelligence for internet medical services
Dispatch scheduling method, which comprises
Acquire historical traffic data and practical online doctor's quantity；
Based on the historical traffic data, the prediction traffic data of following one day day part is predicted；
Based on the prediction traffic data, doctor's quantity needed for predicting corresponding day part；
Doctor's scheduling is carried out according to the online doctor's quantity of the reality and required doctor's quantity.
Further, described to be based on the historical traffic data, predict the prediction portfolio number of following one day day part
According to method include:
Step (A1): the current time of date M is judged whether more than 24 points, if not exceeded, the then prediction knot of output date M
Fruit data；If being more than, M+1 will be changed to the date and enter step (A2)；
Step (A2): obtaining the traffic data of date M, and load historical traffic data, to obtain first N days history
Traffic data；
Step (A3): judge whether date M+1 is festivals or holidays, if festivals or holidays, then enter step (A4)；If not section is false
Day, then enter step (A6)；
Step (A4): it is predicted using exponential smoothing method；
Step (A5): the prediction result data of output date M+1；
Step (A6): judge whether date M is festivals or holidays, if festivals or holidays, then enter step (A7)；If not section is false
Day, then enter step (A8)；
Step (A7): the traffic data of festivals or holidays in first N days historical traffic data described in removal step (A2),
And enter step (A8)；
Step (A8): it is predicted using LSTM prediction technique；
Step (A9): the prediction result data of each predicted time point in output date M+1；
Step (A10): the prediction traffic data of day part is obtained to step (A1)~step (A9) circular flow.
Further, described to be based on the prediction traffic data, the side of doctor's quantity needed for predicting corresponding day part
Method includes:
Step (B1): the portfolio in the unit of account time；
Step (B2): doctor's average traffic duration is calculated；
Step (B3): it based on the portfolio and doctor's average traffic duration in the unit time, calculates and obtains industry
Business metric density；
Step (B4): being based on the traffic densities, calculates and obtains doctor's utilization rate；
Step (B5): being based on doctor's utilization rate, using ErLang-C formula, calculates and obtains Call Waiting probability；
Step (B6): being based on the Call Waiting probability, calculates and obtains average traffic waiting time and service parameter；
Step (B7): being based on the service parameter, calculates doctor's quantity needed for obtaining day part.
Further, the prediction traffic data includes whole nation prediction traffic data and ensures that area predicts portfolio number
According to；Doctor's quantity needed for described includes doctor's quantity needed for the whole nation and guarantee Qu Suoxu doctor's quantity.
Further, described according to the online doctor's quantity of the reality and required doctor's quantity carries out doctor's scheduling
Method includes:
Judge the online doctor's quantity of the reality whether be less than it is described the whole nation needed for doctor's quantity；If so:
According to area's prediction traffic data is ensured, calculates acquisition and ensure that area predicts portfolio accounting；
Based on area's prediction portfolio accounting and guarantee Qu Suoxu doctor's quantity is ensured, calculates and ensure what area needed to transfer
Doctor's number；
The doctor's number for needing to transfer based on the guarantee area carries out doctor's scheduling.
On the other hand, the present invention also provides a kind of doctor's intelligent scheduling Workforce Management for internet medical services,
Include:
Data acquisition unit, for acquiring historical traffic data and practical online doctor's quantity；
Traffic prediction unit predicts the prediction industry of following one day day part for being based on the historical traffic data
Business amount data；
Required doctor's quantitative forecast unit is predicted needed for corresponding day part for being based on the prediction traffic data
Doctor's quantity；
Doctor's scheduling unit, for carrying out doctor's tune according to the online doctor's quantity of the reality and required doctor's quantity
Degree.
Further, the Traffic prediction unit includes:
Whether first judgment module, the current time for judging date M obtain first judging result more than 24 points；
First execution module is connect with the first judgment module, for when first judging result, which is, is, then will
Date is changed to M+1；
First output module is connect with the first judgment module, is used for when first judging result is no, then defeated
The prediction result data of date M out；
First data acquisition module is connect, for obtaining respectively with the data acquisition unit and first execution module
The traffic data of date M is taken, and loads the historical traffic data, N days historical traffic data before obtaining；
Second judgment module is connect with first data acquisition module, for judging whether date M+1 is festivals or holidays,
Obtain the second judging result；
Second execution module is connect with second judgment module, for being based on when second judging result, which is, is
Described first N days historical traffic data, are predicted using exponential smoothing method, obtain each predicted time point of date M+1
Prediction result data；
Third judgment module is connect with second judgment module, for judging when second judging result is no
Whether date M is festivals or holidays, obtains third judging result；
Third execution module is connect with the third judgment module, for being based on when the third judging result is no
Described first N days historical traffic data, are predicted using LSTM prediction technique, obtain each predicted time point of date M+1
Prediction result data；
4th execution module is connect with the third judgment module, for removing when the third judging result, which is, is
The traffic data of festivals or holidays, is predicted using LSTM prediction technique in described first N days historical traffic data, obtains day
The prediction result data of each predicted time point of phase M+1；
Second output module executes mould with second execution module, the third execution module and the described 4th respectively
Block connection, for exporting the prediction result data of each predicted time point in the date M+1；
5th execution module judges with first output module, second output module and described first respectively
Module connection, for when the prediction result data of the first output module output date M or second output module output
In the date M+1 after the prediction result data of each predicted time point, start the first judgment module.
Further, required doctor's quantitative forecast unit includes:
First computing module, for the portfolio in the unit of account time；
Second computing module, for calculating doctor's average traffic duration；
Third computing module, for based on the portfolio and doctor's average traffic duration in the unit time, meter
It calculates and obtains traffic densities；
4th computing module calculates for being based on the traffic densities and obtains doctor's utilization rate；
5th computing module, using ErLang-C formula, calculates for being based on doctor's utilization rate and obtains Call Waiting
Probability；
6th computing module calculates for being based on the Call Waiting probability and obtains average traffic waiting time and service
Horizontal parameters；
7th computing module is used for the service parameter, calculates doctor's quantity needed for obtaining day part.
Further, the prediction traffic data includes whole nation prediction traffic data and ensures that area predicts portfolio number
According to；Doctor's quantity needed for described includes doctor's quantity needed for the whole nation and guarantee Qu Suoxu doctor's quantity.
Further, doctor's scheduling unit includes:
4th judgment module, for judging doctor's number needed for whether the online doctor's quantity of the reality is less than the whole nation
Amount obtains the 4th judging result；
8th computing module, for according to area's prediction traffic data is ensured, counting when the 4th judging result, which is, is
It calculates to obtain and ensures that area predicts portfolio accounting；
9th computing module, for counting based on area's prediction portfolio accounting and guarantee Qu Suoxu doctor's quantity is ensured
Calculate the doctor's number for ensureing that area needs to transfer；
6th execution module, doctor's number for needing to transfer based on the guarantee area carry out doctor's scheduling.
Compared with prior art, technical solution provided by the invention has the advantages that or advantage:
Doctor's intelligent scheduling scheduling method and system provided by the present invention for internet medical services by with
The accurate prediction of medicine consultation service amount economically arranges doctor's quantity, works doctor and carries out rational management, guarantees business
The stable operation of consulting, the complaint or doctor for avoiding user's queuing from effectively causing cause human cost to increase, improve warp the free time
Benefit of helping and social benefit.
Referring to following description and accompanying drawings, only certain exemplary embodiments of this invention is disclosed in detail, specifies original of the invention
Reason can be in a manner of adopted.It should be understood that embodiments of the present invention are not so limited in range.In appended power
In the range of the spirit and terms that benefit requires, embodiments of the present invention include many changes, modifications and are equal.
The feature for describing and/or showing for a kind of embodiment can be in a manner of same or similar one or more
It uses in a other embodiment, is combined with the feature in other embodiment, or the feature in substitution other embodiment.
It should be emphasized that term "comprises/comprising" refers to the presence of feature, one integral piece, step or component when using herein, but simultaneously
It is not excluded for the presence or additional of one or more other features, one integral piece, step or component.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those skilled in the art without any creative labor, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the grade service relation schematic diagram of doctor and pharmacy；
Fig. 2 is a kind of doctor's intelligent scheduling scheduling method for internet medical services provided in an embodiment of the present invention
Method flow diagram；
Fig. 3 is a kind of doctor's intelligent scheduling Workforce Management for internet medical services provided in an embodiment of the present invention
Structural block diagram.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings is implemented
The component of example can be arranged and be designed with a variety of different configurations.
Therefore, the detailed description of the embodiment of the present invention provided in the accompanying drawings is not intended to limit below claimed
The scope of the present invention, but be merely representative of selected embodiment of the invention.Based on the embodiments of the present invention, this field is common
Technical staff's every other embodiment obtained without creative efforts belongs to the model that the present invention protects
It encloses.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
In the description of the embodiment of the present invention, it should be noted that indicating position or positional relationship is based on shown in attached drawings
The orientation or positional relationship invention product using when the orientation or positional relationship usually put or this field
Orientation or positional relationship that technical staff usually understands or the invention product using when the orientation usually put or position close
System, is merely for convenience of description of the present invention and simplification of the description, rather than the device or element of indication or suggestion meaning must have
Specific orientation is constructed and operated in a specific orientation, therefore is not considered as limiting the invention.
In the description of the embodiment of the present invention, it is also necessary to which explanation is unless specifically defined or limited otherwise, term
" setting ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or integrally connect
It connects；It can be and be directly connected to, can also be indirectly connected with by intermediary.For the ordinary skill in the art, may be used
The attached drawing in the concrete meaning type embodiment of above-mentioned term in the present invention is understood with concrete condition, in the embodiment of the present invention
Technical solution is clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than complete
The embodiment in portion.The component of embodiments of the present invention, which are generally described and illustrated herein in the accompanying drawings can be with a variety of different configurations
To arrange and design.In addition, term " first ", " second " are only used for distinguishing description, it is not understood to indicate or imply opposite
Importance.
Firstly, introducing information relevant to the embodiment of the present invention:
For doctor's intelligent scheduling scheduling method of internet medical services and system master provided by the embodiment of the present invention
It applies and pharmacy, but is not limited to pharmacy, can also be other medical service organs, it is not limited here.
When the embodiment of the present invention is used for pharmacy, doctor and pharmacy are the relationships of multi-to-multi, and a doctor is more medicines
Shop service, multiple doctors can be pharmacy's service.Doctor serves the pharmacy more than or equal to own tier, promotes doctor itself
Grade can lead to the pharmacy lower than the grade and can't see the doctor.Pharmacy and doctor have grade classification, in accordance with following
Rule:
(1) pharmacy and doctor have grade classification, and divide value (ensures area > general area) from high to low；
(2) doctor is only pharmacy's service more than or equal to own tier.
The grade service relationship of doctor and pharmacy is specifically as shown in Figure 1.
The embodiment of the present invention is described in detail with reference to the accompanying drawing:
As shown in Fig. 2, the embodiment of the invention provides a kind of doctor's intelligent schedulings for internet medical services to arrange an order according to class and grade
Method, which comprises
Step S100: acquisition historical traffic data and practical online doctor's quantity.
In the specific implementation process, the side of historical traffic data and practical online doctor's quantity is acquired in step S100
Formula is the historical traffic data stored on direct acquisition server and practical online doctor's quantity.Institute in the embodiment of the present invention
It states server to be used exclusively for storing the server of medical related data, is not limited to historical traffic data and online doctor's quantity
Data, moreover it is possible to storage same day actual volume data, prescription data etc., it is not limited here.
It acquires historical traffic data and practical after line doctor's quantity, executes step S200: being based on the history industry
Business amount data predict the prediction traffic data of following one day day part.
In the specific implementation process, based on the historical traffic data, prediction future one described in step S200
The method of the prediction traffic data of its day part includes:
Step (A1): the current time of date M is judged whether more than 24 points, if not exceeded, the then prediction knot of output date M
Fruit data；If being more than, M+1 will be changed to the date and enter step (A2)；
Step (A2): obtaining the traffic data of date M, and load historical traffic data, to obtain first N days history
Traffic data；
Step (A3): judge whether date M+1 is festivals or holidays, if festivals or holidays, then enter step (A4)；If not section is false
Day, then enter step (A6)；
Step (A4): it is predicted using exponential smoothing method；
Step (A5): the prediction result data of output date M+1；
Step (A6): judge whether date M is festivals or holidays, if festivals or holidays, then enter step (A7)；If not section is false
Day, then enter step (A8)；
Step (A7): the traffic data of festivals or holidays in first N days historical traffic data described in removal step (A2),
And enter step (A8)；
Step (A8): it is predicted using LSTM prediction technique；
Step (A9): the prediction result data of each predicted time point in output date M+1；
Step (A10): the prediction traffic data of day part is obtained to step (A1)~step (A9) circular flow.
After obtaining prediction traffic data, step S300 is executed: being based on the prediction traffic data, predict corresponding each
Doctor's quantity needed for period.
In the specific implementation process, it is predicted corresponding described in step S300 based on the prediction traffic data
The method of doctor's quantity needed for day part includes:
Step (B1): the portfolio in the unit of account time.
Wherein, the portfolio in the unit time, that is, average user incoming call rate, is indicated with λ.Unit time therein makes
It is ok with any time unit, as long as guarantee is identical as the unit of average traffic duration, calculation formula is as follows:
It should be noted that in embodiments of the present invention, using half an hour as chronomere, so, incoming-call frequency=half
Hour amount of traffic, number of seconds corresponding to density=half an hour, chronomere are as follows: portfolio/second.
It after completing step (B1), executes step (B2): calculating doctor's average traffic duration.
Wherein, the doctor's average traffic duration, that is, average traffic duration, T is usedsIt indicates, i.e., it is average often to lead to business electricity
Duration is talked about, unit must be consistent with the unit of incoming call rate.
After completing step (B2), execute step (B3): based in the unit time portfolio and the doctor it is average
Business duration calculates and obtains traffic densities.
Traffic densities namely flux density, are indicated with u, and flow refers to portfolio, calculation formula in embodiments of the present invention
It is as follows:
U=λ × Ts
It after completing step (B3), executes step (B4): being based on the traffic densities, calculate and obtain doctor's utilization rate.
Occupancy is acted on behalf of, that is, the utilization rate acted on behalf of, refers to the utilization rate of doctor in embodiments of the present invention, use doctor
Number is calculated divided by traffic densities.Doctor's utilization rate is between 0 to 1, if it has been more than 1, just illustrates that current physician is super
Load, calculation formula are as follows:
ρ=u/m
Wherein, ρ is doctor's utilization rate；M expression can use doctor's number.
It after completing step (B4), executes step (B5): being based on doctor's utilization rate, using ErLang-C formula, calculate
Obtain Call Waiting probability.
The E of Call Waiting probability described in the embodiment of the present inventionc(m, u) is indicated, is also ErLang-C formula, is illustrated one
A portfolio cannot be processed and the probability that has to wait for, is indicated with following formula:
It after completing step (B5), executes step (B6): being based on the Call Waiting probability, calculate acquisition average traffic and wait
Duration and service parameter.
Wherein, the average traffic waiting time, that is, Average Speed of Answer (ASA), finds out EcAfter (m, u) value, under
It states formula and calculates average traffic waiting time:
Wherein, TwIndicate average traffic waiting time.
A service parameter i.e. business can within the target latency time processed probability W (t), W (t) i.e.
Possible service level under the service level objective:
Wherein, for W (t) between 0 to 1, t indicates service level objective, is known facts.
It after completing step (B6), executes step (B7): being based on the service parameter, calculate doctor needed for obtaining day part
Raw quantity.
For the ease of it will be understood by those skilled in the art that, below citing be illustrated:
Assuming that every the per half an hour portfolio of doctor's information desk 4000, doctor's average treatment business when a length of 75
Second, service level objective are 10 seconds, in total 172 people of doctor's quantity；
Then: (1) portfolio in the unit of account time
(2) doctor's average traffic duration is calculated
Ts=75sec/
(3) traffic densities are calculated
U=λ × Ts=(2.2/sec) (75sec/)=167
(4) doctor's utilization rate is calculated
Wherein, m expression can use doctor's number.
(5) Call Waiting probability is calculated
(6) average traffic waiting time is calculated
(7) service parameter is calculated
When arranging 167 doctors, 71% service rate can achieve, every business duration is 75 seconds, average etc.
It is 10 seconds to the time.
After calculating required doctor's quantity, step S400 is executed: according to the online doctor's quantity of the reality and the institute
Doctor's quantity is needed to carry out doctor's scheduling.
In the specific implementation process, in order to provide better service for specific group, described in the embodiment of the present invention
Predict that traffic data includes whole nation prediction traffic data and ensures that area predicts traffic data；Doctor's quantity packet needed for described
It includes doctor's quantity needed for the whole nation and ensures Qu Suoxu doctor's quantity.It should be noted that special described in the embodiment of the present invention
Group can be the group for needing to pay close attention to, such as difficult patient, need to carry out the patient etc. of state of an illness tracking at any time, herein
Without limitation.
In order to ensure the service quality of the part specific group, in the specific implementation process, step of the embodiment of the present invention
Include: according to the method that the online doctor's quantity of the reality and required doctor's quantity carry out doctor's scheduling described in S400
Judge the online doctor's quantity of the reality whether be less than it is described the whole nation needed for doctor's quantity；If so:
According to area's prediction traffic data is ensured, calculates acquisition and ensure that area predicts portfolio accounting；
Based on area's prediction portfolio accounting and guarantee Qu Suoxu doctor's quantity is ensured, calculates and ensure what area needed to transfer
Doctor's number；
The doctor's number for needing to transfer based on the guarantee area carries out doctor's scheduling.
Wherein, ensure that the calculation formula for doctor's number that area needs to transfer is as follows:
Wherein, P is the doctor's number for ensureing area and needing to transfer；D is practical online doctor's quantity；V is to ensure that area predicts industry
Business amount accounts for the accounting of whole nation prediction portfolio；D2 is to ensure Qu Suoxu doctor's quantity.
Corresponding to above-mentioned doctor's intelligent scheduling scheduling method for internet medical services, the embodiment of the present invention is also provided
A kind of doctor's intelligent scheduling Workforce Management for internet medical services, as shown in figure 3, the system comprises:
Data acquisition unit 10, for acquiring historical traffic data and practical online doctor's quantity；
Traffic prediction unit 20 predicts the prediction of following one day day part for being based on the historical traffic data
Traffic data；
Required doctor's quantitative forecast unit 30 predicts corresponding day part institute for being based on the prediction traffic data
Need doctor's quantity；
Doctor's scheduling unit 40, for carrying out doctor according to the online doctor's quantity of the reality and required doctor's quantity
Scheduling.
Wherein, the Traffic prediction unit 20 specifically includes:
Whether first judgment module, the current time for judging date M obtain first judging result more than 24 points；
First execution module is connect with the first judgment module, for when first judging result, which is, is, then will
Date is changed to M+1；
First output module is connect with the first judgment module, is used for when first judging result is no, then defeated
The prediction result data of date M out；
First data acquisition module is connect, for obtaining respectively with the data acquisition unit and first execution module
The traffic data of date M is taken, and loads the historical traffic data, N days historical traffic data before obtaining；
Second judgment module is connect with first data acquisition module, for judging whether date M+1 is festivals or holidays,
Obtain the second judging result；
Second execution module is connect with second judgment module, for being based on when second judging result, which is, is
Described first N days historical traffic data, are predicted using exponential smoothing method, obtain each predicted time point of date M+1
Prediction result data；
Third judgment module is connect with second judgment module, for judging when second judging result is no
Whether date M is festivals or holidays, obtains third judging result；
Third execution module is connect with the third judgment module, for being based on when the third judging result is no
Described first N days historical traffic data, are predicted using LSTM prediction technique, obtain each predicted time point of date M+1
Prediction result data；
4th execution module is connect with the third judgment module, for removing when the third judging result, which is, is
The traffic data of festivals or holidays, is predicted using LSTM prediction technique in described first N days historical traffic data, obtains day
The prediction result data of each predicted time point of phase M+1；
Second output module executes mould with second execution module, the third execution module and the described 4th respectively
Block connection, for exporting the prediction result data of each predicted time point in the date M+1；
5th execution module judges with first output module, second output module and described first respectively
Module connection, for when the prediction result data of the first output module output date M or second output module output
In the date M+1 after the prediction result data of each predicted time point, start the first judgment module.
Required doctor's quantitative forecast unit 30 specifically includes:
First computing module, for the portfolio in the unit of account time；
Second computing module, for calculating doctor's average traffic duration；
Third computing module, for based on the portfolio and doctor's average traffic duration in the unit time, meter
It calculates and obtains traffic densities；
4th computing module calculates for being based on the traffic densities and obtains doctor's utilization rate；
5th computing module, using ErLang-C formula, calculates for being based on doctor's utilization rate and obtains Call Waiting
Probability；
6th computing module calculates for being based on the Call Waiting probability and obtains average traffic waiting time and service
Horizontal parameters；
7th computing module is used for the service parameter, calculates doctor's quantity needed for obtaining day part.
In the specific implementation process, the institute in order to provide better service for specific group, in the embodiment of the present invention
Stating prediction traffic data includes that the whole nation predicts traffic data and ensures area's prediction traffic data；Doctor's quantity needed for described
Including doctor's quantity needed for the whole nation and ensure Qu Suoxu doctor's quantity.
In order to ensure the service quality of the part specific group, in the specific implementation process, in the embodiment of the present invention
Doctor's scheduling unit 40 specifically includes:
4th judgment module, for judging doctor's number needed for whether the online doctor's quantity of the reality is less than the whole nation
Amount obtains the 4th judging result；
8th computing module is connect with the 4th judgment module, for when the 4th judging result be when, according to
It ensures that area predicts traffic data, calculates acquisition and ensure that area predicts portfolio accounting；
9th computing module, for counting based on area's prediction portfolio accounting and guarantee Qu Suoxu doctor's quantity is ensured
Calculate the doctor's number for ensureing that area needs to transfer；
6th execution module is connect with the 9th computing module, the doctor for needing to transfer based on the guarantee area
Number carries out doctor's scheduling.
In the specific implementation process, in order to facilitating monitoring business state and doctor's state, institute of the embodiment of the present invention
The doctor's intelligent scheduling Workforce Management for internet medical services provided further includes display unit 50, passes through display unit reality
Actual volume, prediction portfolio and the doctor's state for applying display one day, form billboard.Provided with display unit, facilitate observation
Daily Realtime Statistics, so as to Optimization Prediction and scheduler program.
It is logical for doctor's intelligent scheduling scheduling method of internet medical services and system provided by the embodiment of the present invention
The accurate prediction to medical consultation portfolio is crossed, doctor's quantity is economically arranged, works doctor and carries out rational management, is protected
The stable operation for demonstrate,proving business consultation, the complaint or doctor for avoiding user's queuing from effectively causing cause human cost to increase the free time,
It improves the economic and social benefits.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (10)
1. a kind of doctor's intelligent scheduling scheduling method for internet medical services, which is characterized in that the described method includes:
Acquire historical traffic data and practical online doctor's quantity；
Based on the historical traffic data, the prediction traffic data of following one day day part is predicted；
Based on the prediction traffic data, doctor's quantity needed for predicting corresponding day part；
Doctor's scheduling is carried out according to the online doctor's quantity of the reality and required doctor's quantity.
2. doctor's intelligent scheduling scheduling method according to claim 1 for internet medical services, which is characterized in that
Described to be based on the historical traffic data, the method for predicting the prediction traffic data of following one day day part includes:
Step (A1): the current time of date M is judged whether more than 24 points, if not exceeded, the then prediction result number of output date M
According to；If being more than, M+1 will be changed to the date and enter step (A2)；
Step (A2): obtaining the traffic data of date M, and load historical traffic data, to obtain first N days history services
Measure data；
Step (A3): judge whether date M+1 is festivals or holidays, if festivals or holidays, then enter step (A4)；If not festivals or holidays,
Then enter step (A6)；
Step (A4): it is predicted using exponential smoothing method；
Step (A5): the prediction result data of output date M+1；
Step (A6): judge whether date M is festivals or holidays, if festivals or holidays, then enter step (A7)；If not festivals or holidays, then
Enter step (A8)；
Step (A7): the traffic data of festivals or holidays in first N days historical traffic data described in removal step (A2) is gone forward side by side
Enter step (A8)；
Step (A8): it is predicted using LSTM prediction technique；
Step (A9): the prediction result data of each predicted time point in output date M+1；
Step (A10): the prediction traffic data of day part is obtained to step (A1)~step (A9) circular flow.
3. doctor's intelligent scheduling scheduling method according to claim 2 for internet medical services, which is characterized in that
Described to be based on the prediction traffic data, the method for doctor's quantity needed for predicting corresponding day part includes:
Step (B1): the portfolio in the unit of account time；
Step (B2): doctor's average traffic duration is calculated；
Step (B3): it based on the portfolio and doctor's average traffic duration in the unit time, calculates and obtains portfolio
Density；
Step (B4): being based on the traffic densities, calculates and obtains doctor's utilization rate；
Step (B5): being based on doctor's utilization rate, using ErLang-C formula, calculates and obtains Call Waiting probability；
Step (B6): being based on the Call Waiting probability, calculates and obtains average traffic waiting time and service parameter；
Step (B7): being based on the service parameter, calculates doctor's quantity needed for obtaining day part.
4. doctor's intelligent scheduling scheduling method according to claim 3 for internet medical services, which is characterized in that
The prediction traffic data includes whole nation prediction traffic data and ensures that area predicts traffic data；Doctor's number needed for described
Amount includes doctor's quantity needed for the whole nation and guarantee Qu Suoxu doctor's quantity.
5. doctor's intelligent scheduling scheduling method according to claim 4 for internet medical services, which is characterized in that
It is described according to the online doctor's quantity of the reality and method that required doctor's quantity carries out doctor's scheduling includes:
Judge the online doctor's quantity of the reality whether be less than it is described the whole nation needed for doctor's quantity；If so:
According to area's prediction traffic data is ensured, calculates acquisition and ensure that area predicts portfolio accounting；
Based on area's prediction portfolio accounting and guarantee Qu Suoxu doctor's quantity is ensured, the doctor for ensureing that area needs to transfer is calculated
Number；
The doctor's number for needing to transfer based on the guarantee area carries out doctor's scheduling.
6. a kind of doctor's intelligent scheduling Workforce Management for internet medical services characterized by comprising
Data acquisition unit, for acquiring historical traffic data and practical online doctor's quantity；
Traffic prediction unit predicts the prediction portfolio of following one day day part for being based on the historical traffic data
Data；
Required doctor's quantitative forecast unit, for being based on the prediction traffic data, doctor needed for predicting corresponding day part
Quantity；
Doctor's scheduling unit, for carrying out doctor's scheduling according to the online doctor's quantity of the reality and required doctor's quantity.
7. doctor's intelligent scheduling Workforce Management according to claim 6 for internet medical services, which is characterized in that
The Traffic prediction unit includes:
Whether first judgment module, the current time for judging date M obtain first judging result more than 24 points；
First execution module is connect with the first judgment module, for when first judging result be when, then by the date
It is changed to M+1；
First output module is connect with the first judgment module, for when first judging result is no, then exporting day
The prediction result data of phase M；
First data acquisition module is connect, for obtaining day respectively with the data acquisition unit and first execution module
The traffic data of phase M, and the historical traffic data are loaded, N days historical traffic data before obtaining；
Second judgment module is connect with first data acquisition module, for judging whether date M+1 is festivals or holidays, is obtained
Second judging result；
Second execution module is connect with second judgment module, described for being based on when second judging result, which is, is
First N days historical traffic data, are predicted using exponential smoothing method, obtain the pre- of each predicted time point of date M+1
Survey result data；
Third judgment module is connect with second judgment module, for judging the date when second judging result is no
Whether M is festivals or holidays, obtains third judging result；
Third execution module is connect with the third judgment module, for being based on described when the third judging result is no
First N days historical traffic data, are predicted using LSTM prediction technique, obtain the pre- of each predicted time point of date M+1
Survey result data；
4th execution module is connect with the third judgment module, for when the third judging result, which is, is, described in removal
The traffic data of festivals or holidays, is predicted using LSTM prediction technique in first N days historical traffic data, obtains date M+
The prediction result data of 1 each predicted time point；
Second output module connects with second execution module, the third execution module and the 4th execution module respectively
It connects, for exporting the prediction result data of each predicted time point in the date M+1；
5th execution module, respectively with first output module, second output module and the first judgment module
Connection, for working as described in the prediction result data or second output module output of the first output module output date M
In date M+1 after the prediction result data of each predicted time point, start the first judgment module.
8. doctor's intelligent scheduling Workforce Management according to claim 7 for internet medical services, which is characterized in that
It is described needed for doctor's quantitative forecast unit include:
First computing module, for the portfolio in the unit of account time；
Second computing module, for calculating doctor's average traffic duration；
Third computing module, for based in the unit time portfolio and doctor's average traffic duration, calculating obtain
Obtain traffic densities；
4th computing module calculates for being based on the traffic densities and obtains doctor's utilization rate；
5th computing module, using ErLang-C formula, it is general to calculate acquisition Call Waiting for being based on doctor's utilization rate
Rate；
6th computing module calculates for being based on the Call Waiting probability and obtains average traffic waiting time and service level
Parameter；
7th computing module calculates doctor's quantity needed for obtaining day part for being based on the service parameter.
9. doctor's intelligent scheduling Workforce Management according to claim 8 for internet medical services, which is characterized in that
The prediction traffic data includes whole nation prediction traffic data and ensures that area predicts traffic data；Doctor's number needed for described
Amount includes doctor's quantity needed for the whole nation and guarantee Qu Suoxu doctor's quantity.
10. doctor's intelligent scheduling Workforce Management according to claim 9 for internet medical services, feature exist
In doctor's scheduling unit includes:
4th judgment module is obtained for judging doctor's quantity needed for whether the online doctor's quantity of the reality is less than the whole nation
Obtain the 4th judging result；
8th computing module, for when the 4th judging result, which is, is, according to area's prediction traffic data is ensured, calculating to be obtained
It must ensure that area predicts portfolio accounting；
9th computing module, for calculating and protecting based on area's prediction portfolio accounting and guarantee Qu Suoxu doctor's quantity is ensured
Doctor's number that barrier area needs to transfer；
6th execution module, doctor's number for needing to transfer based on the guarantee area carry out doctor's scheduling.
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| CN113298374A (en) * | 2021-05-21 | 2021-08-24 | 王志斌 | Resource management system based on big data and intelligent medical treatment |
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| CN113539454A (en) * | 2021-06-29 | 2021-10-22 | 兰州大学第一医院 | Hospital information data monitoring system and monitoring method |
| CN116721751A (en) * | 2023-08-10 | 2023-09-08 | 四川大学 | Medical care scheduling method and system based on clinical big data |
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