CN112017765A - Intelligent scheduling method and system for ultrasound department of large-scale trimethyl teaching hospital - Google Patents
Intelligent scheduling method and system for ultrasound department of large-scale trimethyl teaching hospital Download PDFInfo
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Abstract
The application discloses an intelligent scheduling method and system for an ultrasound department of a large-scale three-in-one teaching hospital. The scheduling method comprises the following steps: step 1, configuring basic information of the scheduling and setting relevant rules of department scheduling; step 2, semi-automatic scheduling is carried out according to the preset basic information and scheduling rules and the personal post number of the doctor automatically predicted by the system; and 3, carrying out data statistics query on the scheduling information. The system carries out data processing on complex restriction factors in reality, reduces manpower consumption, meets the requirements of reasonable scheduling and fine management, adapts to and meets the requirements of various flexible scheduling of ultrasonic departments of a large-scale three-tone teaching hospital to the maximum extent, solves the problem of time and labor consumption of traditional manual scheduling, greatly improves the work efficiency of medical staff, obviously improves the informatization management level of departments and hospitals, and finally realizes the fine management of the departments and the hospitals, the posts, the spaces and other aspects.
Description
Technical Field
The method relates to the technical field of auxiliary scheduling of hospitals, in particular to an intelligent scheduling method for doctors, an intelligent scheduling system for doctors, a doctor scheduling post number prediction method and a doctor scheduling post number prediction device for the ultrasonic department, which are suitable for the ultrasonic department of a large-scale three-inch teaching hospital.
Background
At present, manual scheduling is adopted for scheduling of most of hospital personnel, and meanwhile, the scheduling work of a department of a hospital is restricted by a plurality of complex factors. For example, in a hospital, the number of ultrasound department staff is large, and the requirement is complex: approximately 100 doctors (about 1/2 hospitalized doctors) and approximately 30 recorders. Doctor grades are many: the 8 classes included (professor (formal/demote use), vice professor (formal/demote use), indications (formal/demote use), hospitalizations all 5 years, hospitalizations less than 5 years). Meanwhile, doctors have a lot of posts: more than 30 posts, high dry health care, health physical examination, international ministry, special ministry, dry bathroom and the like. And (3) scattered shift scheduling places: east and west 2 yards include commander's, international, special needs, outpatient service, hospitalization, etc. The number of people on duty is more: 5 people were on duty at the hospital night each day. In this case we need to meet the average of the total number of posts, high-end posts, late overtime, weekend overtime of the same class of personnel. The reasonable arrangement of the department work is not only the scheduling of the doctors on the computer but also comprises a large number of nurses and medical assistants who undertake the medical activities of diagnosis, reservation and post recording, and the medical activities also relate to the coordination of time, place and personnel and all need the reasonable scheduling. Still include a large amount of three students (advance medicine, graduate student, base hospitalization), they have complicated teaching demand, especially in the three students teaching management of ultrasonic branch of academic or vocational study, not only need carry out theoretical study, include the area of operation teaching simultaneously, the consulting room looks at and rubs, emergency call is with value, exercise etc. also go out the branch of academic or vocational study to and have a large amount of complicated management demands: the teaching hospital undertakes a large amount of teaching, scientific research, meeting and management work. These requirements need to be embedded into a scheduling system for overall completion, so that the scheduling system is not a simple scheduling system.
In the prior art, the arrangement of the work of departments can be finished only by a large amount of manual scheduling and checking, a large amount of manpower is consumed, and the following defects are overcome: (1) a specially-assigned person needs to carry out scheduling, so that the manpower resource is wasted; (2) the scheduling efficiency is low, and the problems are more obvious particularly when the number of workers needing scheduling is large; the rationalization scheduling accuracy for each post is low due to the restriction of the relationship of a plurality of complex factors of departments; different shift schedules such as an on-computer shift, a recording shift and a student shift cannot be associated; fifthly, data storage is disordered, and unified data storage cannot be achieved; (6) due to the relationship of a plurality of complex factors of departments, the rationalization scheduling accuracy for each post is low; (7) detailed statistics and analysis of data cannot be realized by manual shift arrangement; (8) the shift of each person is required in the beginning of the week cannot be predicted; (9) a large amount of manpower is consumed to check the reasonability of the personnel posts; (10) the shifting may be unfair and unreasonable due to the interference of the human factors.
Therefore, there is an urgent need for an intelligent scheduling method, system, computer device and readable storage medium for hospital to improve the work efficiency.
Disclosure of Invention
The method aims to provide an intelligent scheduling method for the ultrasound department in the large trimethyl teaching hospital, so as to overcome or at least alleviate at least one of the defects in the prior art.
One aspect of the method provides an intelligent scheduling method for the ultrasonic department of a large-scale trimethyl teaching hospital,
the scheduling method comprises the following steps:
step 1, configuring basic information of the shift arrangement and setting a shift arrangement rule;
step 2, automatically scheduling according to the preset scheduling rule, the predicted personal post number of the doctor and the basic information;
and 3, carrying out data statistics query on the scheduling information.
Optionally, in the step 1, the configuring the basic information of the shift schedule includes: configuring annual capital and time title information, configuring department doctor information, configuring post information and post time interval information and configuring holiday information of a certain year.
Optionally, in the step 2, the automatic shift scheduling process specifically includes: s21, setting the rotation information of each department of the hospital for the doctor in a time period; s22, setting a scheduling template in a time period; and S23, generating predicted personal post numbers of doctors, and performing cyclic scheduling for one period according to the basic information and scheduling rules in the step 1, the doctor rotation information set in the step S21 and the scheduling template set in the step S22 to form a scheduling table, a recorded post scheduling table, a student schedule and a teaching schedule for each day.
Optionally, the generating the predicted personal post number of the doctor comprises:
acquiring a basic information table of the scheduling personnel, wherein the basic information table comprises name information, annual resource information, rotation information of each scheduling personnel and post number information of each scheduling personnel;
and determining the number of posts for each scheduling person according to the basic information table.
Optionally, the predicting the number of shift posts for each shift scheduler according to the basic information table includes:
dividing the scheduling person into high-age doctors and low-age doctors according to the annual resource information of the scheduling person in the basic information table of the scheduling person;
determining the number of posts of each senior citizen according to a first scheduling condition and a basic information table of a scheduling person;
and determining the number of posts of each low-age funding doctor according to a second scheduling condition and a basic information table of a scheduling person.
Optionally, before the classifying the shift register into high-age doctors and low-age doctors according to the annual resource information of the shift register in the basic information table of the shift register, determining the number of shift registers for each shift register according to the basic information table further includes:
and deleting the scheduling persons meeting the rotation conditions according to the rotation information of each scheduling person in the basic information table of the scheduling persons, and updating the basic information table of the scheduling persons.
Optionally, the post information includes a number of high-age capital posts, a number of individual reduced posts, a number of vacation days, a total reduced post, a number of non-scheduled posts, a number of rated posts, a number of inpatients, a number of low-age capital posts, a number of low-age attending doctors.
Optionally, the dividing the shift register into high-age doctors and low-age doctors according to the annual resource information of each shift register in the basic information table of the shift register includes:
acquiring annual capital information of each scheduling person;
setting a judgment threshold value;
comparing the judgment threshold with the annual capital information of each shift, and if the judgment threshold is larger than the judgment threshold, judging a senior citizen; and if the judgment result is less than the judgment threshold, judging to be a low-age funding doctor.
Optionally, the predicting the number of shift of each low-age funding doctor according to the second shift scheduling condition and the basic information table of the shift scheduler includes:
acquiring the number of low-age capital posts, the number of personal off posts, the number of holiday days, the total off posts, the number of non-scheduling posts, the number of rated posts, the number of inpatients, the number of low-age capital posts and the number of low-age capital-attending doctors of each low-age capital doctor;
and respectively determining the post number of each low-age funding doctor according to a first preset condition, the number of low-age funding posts, the number of personal reduced posts, the number of holiday days, the total reduced posts, the number of non-scheduling posts, the number of rated posts, the number of inpatients, the number of low-age funding posts and the number of low-age funding primary doctors.
Optionally, the predicting the number of shift of each senior citizen according to the first shift scheduling condition and the basic information table of the shift scheduler comprises:
acquiring the number of annual capital posts and the number of personal reduction posts of each high-annual capital doctor;
and respectively predicting the post number of each high-age funding doctor according to a second preset condition, the number of the annual funding posts and the number of the personal reduction posts.
Optionally, the first preset condition is: the following formula is used for calculation:
the number of the individual shift is (total shift number-number of shifts not scheduled + number of holidays in the period + total reduced shift-total number of rated shifts of the low-position person-number of shifts on the turn of doctors)/(number of hospitalized doctors + number of low-age attending doctors).
Optionally, in the step 3, the content of performing a data statistics query on the scheduling information includes but is not limited to: counting the posts, and counting the data of high-end posts, weekend posts and total posts; carrying out individual statistics, wherein data of individual scheduling details of each doctor are counted; and (6) performance statistics.
Optionally, in the step S23, the method for performing a shift schedule, a record shift schedule, a student schedule, or a shift schedule with a teaching schedule includes: step one, calculating the total number of the rest posts and the number of the rest high-end posts; secondly, loading the scheduling template, the doctor data and the post information; checking the information of the position of the typesetable doctor; checking the number of high-end posts, weekend posts, outpatient overtime posts and total posts arranged by the doctor in the counting period; checking the daily scheduling condition of the doctor in the statistical period.
The application also provides an intelligent scheduling system for doctors, which comprises an information configuration module, a scheduling module and a scheduling module, wherein the information configuration module is used for configuring basic information of scheduling and setting a scheduling rule; the scheduling control module is used for automatically scheduling according to the preset scheduling rule, the predicted personal post number of the doctor and the basic information; and the data statistics query module is used for carrying out data statistics query on the scheduling information.
The present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to perform the steps of the doctor intelligent scheduling method as described above.
The present application also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to perform the steps of the physician intelligent scheduling method as described above.
Advantageous effects
Compared with the prior art, the invention has the beneficial effects that: the invention carries out data processing on complex restriction factors in reality, reduces the labor consumption, and realizes reasonable scheduling and fine management, thereby improving the management level of hospital departments and promoting the hospital to be transformed to an agile intelligent hospital.
The ultrasonic doctor scheduling post number prediction method performs scheduling according to the objective basic information of each scheduling person and is not interfered by the considered factors, so that the accuracy, the objectivity and the fairness of scheduling are ensured.
Drawings
Fig. 1 is a schematic step diagram of an intelligent shift scheduling method according to an embodiment of the present invention.
Fig. 2 is a schematic step diagram of a doctor intelligent scheduling method in a hospital department according to an embodiment of the present invention.
Fig. 3 is a flowchart illustrating a method for predicting shift post number of a sonographer according to a first embodiment of the present application.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the drawings in the embodiments of the present application. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are a subset of the embodiments in the present application and not all embodiments in the present application. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application. Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
In the description of the present application, it is to be understood that the terms "central," "longitudinal," "lateral," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in the orientation or positional relationship indicated in the drawings for convenience in describing the present application and for simplicity in description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed in a particular orientation, and be operated in a particular manner and are not to be considered limiting of the scope of the present application.
Fig. 1 is a flowchart illustrating a method for predicting shift post number of a sonographer according to a first embodiment of the present application.
The information function in the specification is described as follows: newly adding: a blank record appears for maintenance; and (3) inquiring: selecting a query condition, clicking a query button, and querying records meeting the query condition; and (3) deleting: deleting the selected record; and (3) storage: storing the editing information, and storing the data to a server; modifying: and modifying the record, and clicking a save button or inputting a label to lose the focus for automatic saving after modification is finished. Upward moving: selecting a record, clicking a button, and moving the record up in sequence; moving downwards: and selecting the record, clicking a button, and moving down the record sequence.
The invention provides an intelligent scheduling system for a large-scale Tri-manic teaching hospital ultrasound department, which is provided with two post types of a high-end post and a common post, can perform independent scheduling of different posts, such as an on-machine post, a recording post, a student post, a teaching post and the like, avoids the conflict of working time of doctors, and simultaneously constructs basic data of annual capital information, personnel information, post information and time period information which are mutually contained and associated, wherein the high-end post (including an international post and a specially-required post) in a high-level job title, the total number of posts is fixed, and other personnel are evenly distributed. The system can also set personnel rotation information, different posts may have the same post, a plurality of doctors can be in different consulting rooms in the same post period, and the same post period has different post counting modes in working days and rest days. The system can also be used for making a scheduling template and setting scheduling default data, different staff with different titles have different rated post numbers, real-time data can be checked in the scheduling process, and related scheduling data can be exported.
Fig. 1 is a schematic step diagram of an intelligent shift scheduling method according to an embodiment of the present invention. As shown in fig. 1, the method of the present invention includes: firstly, configuring basic information of the scheduling and setting a scheduling rule; secondly, automatically scheduling according to the preset scheduling rule, the predicted personal post number of the doctor and the basic information; and finally, carrying out data statistics query on the scheduling information.
Wherein configuring the basic information of the shift arrangement comprises: configuring annual capital title information, configuring department doctor information, configuring post information and post time interval information.
The method specifically comprises the following steps: step 1: configuring annual capital and job title information, and setting information of rated high-end post number, total post number and reduced post number of the job title, wherein the configuration operation comprises functions of newly adding, modifying, storing, inquiring, setting reduced post number and the like. The annual resource title information includes: job title code, job title description, job title abbreviation, high-end post number, total post number. And setting the post reduction number, namely setting how many days to leave for the post reduction number. The number of the high-end posts can be set to be N, namely the nominal high-end post number of the job is N; the total number of posts can be set to M, and the nominal total number of posts of the job is M. This setup completes the use of the total number of posts of the senior officer in the individual number of posts function.
Step 2: configuring department doctor information, wherein the set doctor information comprises doctor job numbers, doctor names, short names, annual resource titles, levels, groups, post types, personnel types, admission dates, work-taking dates, department leaving dates, contact calls and the like, and the configuration operation comprises functions of adding, saving, modifying, synchronizing HIS personnel, inquiring, deleting and the like. Wherein, the annual resource title can be selected from the annual resource title information configured in the step 1.
And step 3: configuring post information, wherein the set post information comprises a post code, a post name, an address, requirements of annual capital titles, a post type, whether a shift is copied or not, a use type, a shift scheduling sequence, a recording sequence, personnel information of the post and the like, wherein the post type comprises a common post and a high-end post, the use type comprises an on-machine post, a recording post, a student post and a post with a teaching post, the use sequence is the sequence of the on-machine post and the student post, the recording sequence is the sequence of the post in the shift scheduling of the recording post, the personnel information of the post comprises the personnel associated with the post, and therefore when the post is clicked in the subsequent shift, the associated doctor information list data can be screened. The configuration operation includes functions of adding, saving, inquiring, deleting, setting personnel, moving up and moving down, and the like.
And 4, step 4: configuring post time interval information, wherein the post time interval information comprises a post time interval, post starting time, post ending time, post counting number, number of people, post counting number on weekends, time interval type, number of recorded people, recording of a consulting room, derivation of a merged number and the like, and the post time interval is a post time interval name; the post start time is the start time of the post time interval, such as: 08:00, the working hours of the post are from 8 am; the post end time is the post time interval end time, such as: 12:00, stopping working at 12 am during the working hours of the post; the calculation post number is one shift scheduling calculation post, and the information can be used for calculating the total post number in the individual post number prediction; the number of people is that the shift can be arranged in the on-machine shift and the student shift in the time period of the shift; the number of weekend posts is the number of weekend posts for counting the posts at the current period of weekend; the time interval type is optional; recording the number of people in the time period and the number of the posts in the recording post; recording which ones of the consulting rooms in the recording post are available, and if the items are set as a, b and c, setting the consulting rooms in the current period of the post as a, b and c when the recording post sets a default shift; when the export merging number is 1, the same information in several rows is merged during export, 2, the two rows of the recording and consulting rooms are merged to only display the recorded information when the recording post is exported, and 3, the three rows of the computer, the recording and consulting rooms are merged to only display the recorded information when the recording post is exported. The operation of configuring the post time interval information comprises functions of adding, modifying, storing, inquiring, associating with other time intervals, fixing personnel, associating with other time intervals and the like. The other relevant time periods are that the scheduling of the time period is relevant to the scheduling of other time periods, and when the scheduling of the staff at the time period is carried out in the on-duty scheduling, the staff at the time period is simultaneously scheduled at the time period; the fixed personnel are the fixed personnel setting the time interval, the people in several rows in the week of the time interval are set, and after the setting is finished, the default shift is set on the recording post, and the shift of the set personnel is carried out on the shift in the time interval of the post.
In addition, the basic information for configuring the shift schedule also comprises holiday information for configuring a certain year. And 5: configuring vacation information, wherein the vacation information comprises year, vacation code, vacation type, starting date, ending date and the like, and the configuration operation comprises functions of inquiring, deleting, adding, modifying, saving and the like. This operation is often set up before the beginning of a year.
Secondly, automatically scheduling according to the preset scheduling rule, the basic information and the predicted personal post number of the doctor; the automatic shift arrangement process specifically comprises the following steps:
step 6: in a time period, the physician's turn information is set at each department of the hospital. When the information of the staff in turn is recorded in a certain period, the following operations are carried out on the interface of the doctor turn table, firstly: the rotary department maintains the rotary department information that this department can relate to, and the rotary department contains the following items: the code, name and abbreviation include functions of adding, storing, inquiring and deleting, and then: adding personnel, clicking a button of the adding personnel, selecting personnel, adding personnel to be rotated, clicking to store, adding data to a main interface, and defaulting all rotation departments to be the current department. And finally: and modifying the rotation department of the personnel to complete the rotation personnel setting. The interface also comprises personal statistics and rotary department statistics functions, wherein the personal statistics comprises the following steps: the personnel information M is selected, the rotation condition of M in each department can be checked, and the rotation departments count: the number of revolutions per department per month in the year can be checked.
And 7: setting scheduling template information in a time period, listing all the posts according to the post information, selecting a person to be scheduled in a doctor information list, and setting a scheduling table cell to finish the scheduling information of the person. For example, the function interface is divided into three parts, the left part is a shift list, and the right part is divided into an upper part and a lower part: the upper right part is a doctor information list, and the lower right part is a post statistical information list. The doctor (Zhang San) is selected, and the cell with crossed post (M), time interval (morning) and date (Monday) is clicked, so that the shift-Zhang Sanmonday post M morning shift is completed.
In addition, the method also comprises the step of carrying out individual post number prediction on the shift in the period in which the post is to be arranged. And 8: and predicting the number of the personal posts of the shift in the period of time in which the posts are to be arranged. The configuration operation comprises functions of new creation, modification, inquiry, deletion and the like. Firstly, setting a starting date and an ending date for predicting the number of posts of a person, and creating a new record; secondly, setting doctor personnel information for scheduling in the period; finally, the system will automatically calculate the predicted number of posts for each of the physician personnel. In one embodiment of the invention, the high-job title human member rated shift is number of weeks (annual capital title sets total shift/4); the number of rated shifts of the inpatient or low-age attending doctors is (total shift number-number of shifts of the template + number of vacation in the period + number of reduced shifts-total number of rated shifts of the high-position person-number of increased shifts of the referring physician)/(number of inpatients + number of low-age attending doctors).
In this embodiment, referring to fig. 3, the following method is specifically adopted to generate the predicted personal post number of the doctor: step 101: acquiring a basic information table of the scheduling personnel, wherein the basic information table comprises name information, annual resource information, rotation information of each scheduling personnel and post number information of each scheduling personnel;
step 102: and determining the number of posts for each scheduling person according to the basic information table.
The ultrasonic doctor scheduling post number prediction method performs scheduling according to the objective basic information of each scheduling person and is not interfered by the considered factors, so that the accuracy, the objectivity and the fairness of scheduling are ensured.
In this embodiment, step 102: the step number prediction for each scheduling person according to the basic information table comprises the following steps:
step 1021: dividing the scheduling person into high-age doctors and low-age doctors according to the annual resource information of the scheduling person in the basic information table of the scheduling person;
step 1022: determining the number of posts of each senior citizen according to a first scheduling condition and a basic information table of a scheduling person;
step 1023: and determining the number of posts of each low-age funding doctor according to a second scheduling condition and a basic information table of a scheduling person.
By adopting the mode to determine the number of posts, doctors with high annual capital and doctors with low annual capital can be distinguished through annual capital, so that the shift is more reasonable.
In this embodiment, before dividing the shift register into high-age doctors and low-age doctors according to the annual resource information of the shift register in the basic information table of the shift register, the determining the number of shift registers for each shift register according to the basic information table further includes: and deleting the scheduling persons meeting the rotation conditions according to the rotation information of each scheduling person in the basic information table of the scheduling persons, and updating the basic information table of the scheduling persons.
In this embodiment, the post number information includes the number of high-age capital posts, the number of personal off-posts, the number of holiday days, the total off-posts, the number of non-shift posts, the number of rated posts, the number of inpatients, the number of low-age capital posts, and the number of low-age capital doctors.
In this embodiment, step 1021: according to the annual capital information of each scheduling person in the basic information table of the scheduling person, dividing the scheduling person into high-age capital doctors and low-age capital doctors comprises the following steps:
step 10211: acquiring annual capital information of each scheduling person;
step 10212: setting a judgment threshold value;
step 10213: comparing the judgment threshold with the annual capital information of each shift, and if the judgment threshold is larger than the judgment threshold, judging as a high-annual capital doctor; if the judgment result is less than the judgment threshold value, the doctor is judged to be a low-cost doctor.
In this embodiment, step 1022: the step of predicting the number of shifts of each low-age financier according to the second shift scheduling condition and the basic information table of the shift scheduler comprises the following steps:
step 10221: acquiring the number of high-age capital posts, the number of personal off-duty posts, the number of holiday days, the total off-duty posts, the number of non-scheduling posts, the number of rated posts, the number of inpatients, the number of low-age capital posts and the number of low-age capital primary doctors of each low-age capital doctor;
step 10222: and respectively determining the post number of each low-age funding doctor according to a first preset condition, the number of low-age funding posts, the number of personal reduced posts, the number of holiday days, the total reduced posts, the number of non-scheduling posts, the number of rated posts, the number of inpatients, the number of low-age funding posts and the number of low-age funding primary doctors.
In this embodiment, the first preset condition is: the following formula is used for calculation:
the number of the individual shift is (total shift number-number of shifts not scheduled + number of holidays within the period + total shift reduction-total number of rated shifts of the high-position person-number of shifts on the turn-round doctors)/(number of hospitalized doctors + number of low-age attending doctors).
By adopting the first preset condition, the personal post number of the staff in the higher-position can be determined scientifically (namely, the post number determination).
In this embodiment, the predicting the number of shift for each senior citizen based on the first shift scheduling condition and the basic information table of the shift scheduler includes:
step 10231: acquiring the number of annual capital posts and the number of personal reduction posts of each high-annual capital doctor;
step 10232: and respectively predicting the post number of each high-age funding doctor according to a second preset condition, the number of the annual funding posts and the number of the personal reduction posts.
In this embodiment, the second preset condition adopts the following formula:
the senior citizen has the personal number of the senior citizen which is the number of the senior citizen and the number of the personal debt.
In this embodiment, the basic information table of the shift register acquired each time further includes a period, i.e., a shift scheduling period, for example, the number of shifts predicted each time is based on the period.
In this embodiment, the number of posts is not typeset: and (4) circulating the template scheduling, and acquiring the number of the non-scheduled posts in the stage time.
In this embodiment, the number of vacations in a cycle: number of posts of the leave applicant in the period.
In this embodiment, the total shift reduction number is the number of shift reduction that is set for each person in the round-robin prediction shift.
In this embodiment, the total number of posts of the high-level job title: and circulating the post number of the predicted advanced personnel and performing sum value calculation.
In this embodiment, the round robin physician's number of Dusts ═ Sigma (the number of Dusts in the number of Dusts for which the loop has forecasted personnel).
And step 9: and according to the basic information and the scheduling rule, and in combination with the doctor rotation information and the scheduling template which are arranged in the front, performing cyclic scheduling for a period to form a scheduling table, a recording post scheduling table, a student schedule and a teaching schedule for each day.
Fig. 2 is a schematic step diagram of a doctor intelligent scheduling method for hospital departments according to an embodiment of the present invention, and as shown in fig. 2, the method for performing a scheduling table, a record shift scheduling table, a student schedule, and a scheduling with a teaching schedule includes: firstly, calculating the total number of the rest posts and the number of the rest high-end posts; secondly, loading the scheduling template, the doctor data and the post information; then, checking the information of the schedulable doctors of the post; and finally, checking the number of high-end posts, weekend posts, outpatient shift posts and total posts arranged by the doctor in the counting period, and checking the daily shift arrangement condition of the doctor in the counting period.
Taking the setting of the scheduling list as an example, firstly, the scheduling template is loaded; secondly, copying the scheduling of the previous scheduling period; then, replacing the personnel of the post to be modified in the scheduling period of the round; finally, the personnel information of the idle posts in a certain time period on a certain day can be inquired.
Similarly, setting the schedule list of the recorded shifts comprises firstly clearing all current shifts, secondly setting office data, selecting the content of the recorded office in the position time period information, and if fixed personnel are configured in the position time period information at the same time, default setting can be conducted to the fixed personnel information.
Likewise, the lesson-bearing table contains the following information: name, annual resource title, date, time, content, participation group, class hours, number of patients, and the like, and the operation includes functions of adding, saving, deleting, inquiring, exporting, maintaining content, submitting, and the like. Firstly, selecting department codes, descriptions and other information from the doctor rotation information; secondly, setting student group information including project group names, group leaders, group members, contact telephones and the like; and finally, storing the settings and adding the settings into a teaching schedule.
And finally, carrying out data statistics query on the scheduling information. The content of the data statistics query includes but is not limited to post statistics, and the scheduling data of high-end posts, weekend posts and total posts are counted; carrying out individual statistics, wherein data of individual scheduling details of each doctor, such as data of specific quantities of individual high-end posts, vacation days, weekend posts, total posts and the like, are counted; and (6) performance statistics.
The invention also provides an intelligent scheduling system for doctors, which comprises an information configuration module, a scheduling module and a scheduling module, wherein the information configuration module is used for configuring basic information of scheduling and setting a scheduling rule; the scheduling control module is used for automatically scheduling according to the preset scheduling rule and the basic information; and the data statistics query module is used for carrying out data statistics query on the scheduling information. The system is designed by adopting a B/S architecture, and a user can access the system through a browser; the system is deployed on a private cloud of a hospital and ensures that the system runs for 7 x 24 hours by utilizing cluster characteristics.
In conclusion, the doctor intelligent scheduling system and the doctor intelligent scheduling method provided by the invention have the beneficial effects that: the intelligent scheduling system of the hospital department eliminates the possibility of heavy duty in scheduling according to the functions of doctor duty-on-duty, rest setting, duty display, duty counting and the like, and simultaneously satisfies the average of the total duty number, the high-end duty number, the late shift number and the weekend shift number of the same-level personnel, thereby realizing fair scheduling. Meanwhile, the scheduling system can set post-time association, post-post association, post-personnel association and the like, realize efficient scheduling through operations such as copying, quick shift change and the like, provide functions such as post prediction, post distribution display, shift change and the like, greatly shorten the scheduling working time and improve the scheduling working efficiency; the requirements of idle posts such as teaching with shifts and the like are met, and the integrated overall scheduling of post on the computer, record post and school timetable of students by doctors is realized; under the management mode of 'subject and master-shift supervisor-shift team', the corresponding requirements of management, teaching, academic work and the like are met by advancing the idle post or replacing the post by post-preparation personnel. Finally, the system can be deployed on a private cloud of a hospital, and 7 × 24-hour operation of the system is guaranteed by using the cluster characteristics.
The embodiment of the invention also provides computer equipment, which comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the intelligent shift scheduling method.
The embodiment of the invention also provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the processor is enabled to execute the steps of the intelligent shift scheduling method.
The application also provides a device for predicting the number of scheduling posts of the sonographer, which comprises a basic information table acquisition module and a post number determination module, wherein the basic information table acquisition module is used for acquiring a basic information table of the scheduling personnel, and the basic information table comprises the annual resource information of each scheduling personnel, the rotation information of each scheduling personnel and the post number information of each scheduling personnel; and the post number determining module is used for determining the post number for each scheduling person according to the basic information table.
It should be noted that the foregoing explanations of the method embodiments also apply to the apparatus of this embodiment, and are not repeated herein.
The application also provides an electronic device which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor executes the computer program to realize the ultrasonic doctor shift post number prediction method.
The present application further provides a computer-readable storage medium storing a computer program which, when executed by a processor, is capable of implementing the above method for predicting shift post number of a sonographer.
For example, an electronic device includes an input device, an input interface, a central processing unit, a memory, an output interface, and an output device. The input interface, the central processing unit, the memory and the output interface are mutually connected through a bus, and the input equipment and the output equipment are respectively connected with the bus through the input interface and the output interface and further connected with other components of the computing equipment. Specifically, the input device receives input information from the outside and transmits the input information to the central processing unit through the input interface; the central processing unit processes the input information based on the computer executable instructions stored in the memory to generate output information, temporarily or permanently stores the output information in the memory, and then transmits the output information to the output device through the output interface; the output device outputs the output information to an exterior of the computing device for use by a user.
The present application further provides a computer-readable storage medium storing a computer program which, when executed by a processor, is capable of implementing the above method for predicting shift post number of a sonographer.
The application also provides a scheduling method for the department of ultrasound in the teaching hospital, which comprises the following steps:
generating personal post information of each scheduling person by adopting the scheduling post prediction method of the ultrasonic department of the teaching hospital;
acquiring a basic information table of a shift scheduler;
and scheduling in a scheduling period according to the personal post information of each scheduling person and the basic information table of the scheduling person.
Through the scheduling method of the teaching hospital ultrasound department, the scheduling can be scientifically performed.
In this embodiment, generating the personal post information of each shift register according to the shift register condition and the basic information of the shift register of each shift register includes:
in a scheduling period, performing rotary position scheduling according to the personal position information of each scheduling person and the basic information table of the scheduling person;
carrying out class scheduling of the lectures in the evening according to the rotating post scheduling, the personal post information of each scheduling person and the basic information table of the scheduling person;
scheduling with a teaching class list according to the rotary shift scheduling, the personal shift information of each scheduling person, the basic information table of the scheduling person and the night lecture shift scheduling;
performing on-duty scheduling according to the rotary post scheduling, the personal post information of each scheduling person, the basic information table of the scheduling person, the night lecture post scheduling and the scheduling with the teaching table;
and performing duty scheduling according to the rotating duty scheduling, the personal duty information of each scheduling person, the basic information table of the scheduling person, the night lecture duty scheduling, the scheduling with a teaching table and the on-duty scheduling.
In this embodiment, the basic information of the shift scheduler includes: name information of each person to be scheduled and cycle information of each person to be scheduled;
in a scheduling period, according to the personal post information of each scheduling person and the basic information table of the scheduling person, the rotating post scheduling comprises the following steps:
generating a cycle post scheduling template;
acquiring the rotation information of each scheduling person;
judging whether the shift of each shift register is needed according to the shift information of each shift register, if so,
and generating the name information of the scheduling person and the information of the rotary doctor of the scheduling person on the rotary position scheduling template.
In this application, ultrasound department posts are of complex types, and work places are scattered: the ultrasonic places are not together, and are scattered according to clinical demand occasions, such as outpatients, wards, operating rooms, emergency treatment and the like, and the working time of different posts is different, so that the annual requirement on doctors is different.
The scheduling method for the ultrasonic department of the teaching hospital can solve the scheduling problem in the background technology.
Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application, and those skilled in the art can make variations and modifications without departing from the spirit and scope of the present application.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media include both non-transitory and non-transitory, removable and non-removable media that implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Furthermore, it will be obvious that the term "comprising" does not exclude other elements or steps. A plurality of units, modules or devices recited in the device claims may also be implemented by one unit or overall device by software or hardware. The terms first, second, etc. are used to identify names, but not any particular order.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks identified in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The Processor in this embodiment may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, and so on. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the apparatus/terminal device by running or executing the computer programs and/or modules stored in the memory, as well as by invoking data stored in the memory. The memory 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 required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
In this embodiment, the module/unit integrated with the apparatus/terminal device may be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, all or part of the flow in the method according to the embodiments of the present invention may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like. It should be noted that the computer readable medium may contain content that is appropriately increased or decreased as required by legislation and patent practice in the jurisdiction.
Although the process has been described in detail with respect to the general description and specific embodiments, it will be apparent to those skilled in the art that modifications and improvements may be made based on the process. Accordingly, such modifications and improvements are intended to be within the scope of this method as claimed, without departing from the spirit of this method.
Claims (16)
1. An intelligent scheduling method for a large-scale trimethyl teaching hospital ultrasound department is characterized by comprising the following steps:
step 1, configuring basic information of the shift arrangement and setting a shift arrangement rule;
step 2, automatically scheduling according to the preset scheduling rule, the predicted personal post number of the doctor and the basic information;
and 3, carrying out data statistics query on the scheduling information.
2. The intelligent scheduling method of the ultrasound department of the macroscopical trimethyl teaching hospital according to claim 1, wherein in the step 1, the configuring the basic information of the scheduling includes: configuring annual capital and time title information, configuring department doctor information, configuring post information and post time interval information and configuring holiday information of a certain year.
3. The intelligent scheduling method for the ultrasound department of the macroscopical trimethyl teaching hospital according to claim 1, wherein in the step 2, the automatic scheduling process specifically includes: s21, setting rotation information of the resident doctor in each department of the hospital in a time period; s22, setting a scheduling template in a time period; and S23, generating predicted personal post numbers of doctors, and performing cyclic scheduling for one period according to the basic information and scheduling rules in the step 1, the doctor rotation information set in the step S21 and the scheduling template set in the step S22 to form a scheduling table, a recorded post scheduling table, a student schedule and a teaching schedule for each day.
4. The intelligent scheduling method of the ultrasound department of the grand trimethyl teaching hospital, as claimed in claim 3, wherein said generating the predicted number of doctor's personal shift comprises:
acquiring a basic information table of the scheduling personnel, wherein the basic information table comprises name information, annual resource information, rotation information and vacation information of each scheduling personnel and post number information of each scheduling personnel;
and determining the number of posts for each scheduling person according to the basic information table.
5. The intelligent scheduling method of the ultrasound department of the macroscopical trimethyl teaching hospital as claimed in claim 4, wherein said predicting the number of shifts for each of the human schedulers based on the basic information table comprises:
dividing the scheduling person into high-age doctors and low-age doctors according to the annual resource information of the scheduling person in the basic information table of the scheduling person;
determining the number of posts of each senior citizen according to a first scheduling condition and a basic information table of a scheduling person;
and determining the number of posts of each low-age funding doctor according to a second scheduling condition and a basic information table of a scheduling person.
6. The intelligent scheduling method of the ultrasound department in the macrosiphon teaching hospital as claimed in claim 5, wherein the determining the number of shift for each of the human schedulers according to the basic information sheet before the classifying the human schedulers into high-age and low-age physicians according to the human-to-be-scheduled annual information in the basic information sheet of the human schedulers further comprises:
and deleting the scheduling persons meeting the rotation conditions according to the rotation information of each scheduling person in the basic information table of the scheduling persons, and updating the basic information table of the scheduling persons.
7. The intelligent scheduling method of ultrasound department in a macroscopical trimethyl teaching hospital, as claimed in claim 6, wherein said number of shift information includes the number of high-age capital shift, number of personal down shift, number of holiday days, total down shift, number of non-shift, number of rated shift, number of inpatients, number of low-age capital shift, and number of low-age capital doctors.
8. The intelligent scheduling method of the ultrasound department of the macroscopical trimethyl teaching hospital as claimed in claim 7, wherein said classifying the scholars into high-age and low-age seniors according to the annual fund information of each scholars in the basic information sheet of the scholars comprises:
acquiring annual capital information of each scheduling person;
setting a judgment threshold value;
comparing the judgment threshold with the annual capital information of each shift, and if the judgment threshold is larger than the judgment threshold, judging a senior citizen; and if the judgment result is less than the judgment threshold, judging to be a low-age funding doctor.
9. The intelligent shift scheduling method for the ultrasound department of the macroscopical trimethyl teaching hospital as claimed in claim 8, wherein said predicting the number of shift of each said low-age funding doctor according to the second shift scheduling condition and the basic information table of the shift scheduler comprises:
acquiring the number of low-age capital posts, the number of personal off posts, the number of holiday days, the total off posts, the number of non-scheduling posts, the number of rated posts, the number of inpatients, the number of low-age capital posts and the number of low-age capital-attending doctors of each low-age capital doctor;
and respectively determining the post number of each low-age funding doctor according to a first preset condition, the number of low-age funding posts, the number of personal reduced posts, the number of holiday days, the total reduced posts, the number of non-scheduling posts, the number of rated posts, the number of inpatients, the number of low-age funding posts and the number of low-age funding primary doctors.
10. The intelligent shift scheduling method for the ultrasound department in the macroscopical trimethyl teaching hospital as claimed in claim 9, wherein said predicting the number of shift schedules for each said senior citizen based on the first shift scheduling condition and the basic information table of the shift scheduler comprises:
acquiring the number of annual capital posts and the number of personal reduction posts of each high-annual capital doctor;
and respectively predicting the post number of each high-age funding doctor according to a second preset condition, the number of the annual funding posts and the number of the personal reduction posts.
11. The intelligent scheduling method of the ultrasound department of the macroscopical trimethyl teaching hospital as claimed in claim 10, wherein the first preset condition is: the following formula is used for calculation:
the number of the individual shift is (total shift number-number of shifts not scheduled + number of holidays in the period + total reduced shift-total number of rated shifts of the low-position person-number of shifts on the turn of doctors)/(number of hospitalized doctors + number of low-age attending doctors).
12. The intelligent scheduling method for ultrasound department in macroscopical trimethyl teaching hospital according to claim 1, wherein in said step 3, the contents of data statistics query for said scheduling information include but are not limited to: counting the posts, and counting the data of high-end posts, weekend posts and total posts; carrying out individual statistics, wherein data of individual scheduling details of each doctor are counted; and (6) performance statistics.
13. The intelligent scheduling method for the ultrasound department in the macroscopical trimethyl teaching hospital according to claim 3, wherein in the step S23, the method for performing scheduling, recording, student' S class schedule, and scheduling with teaching class schedule includes: step one, calculating the total number of the rest posts and the number of the rest high-end posts; secondly, loading the scheduling template, the doctor data and the post information; checking the information of the position of the typesetable doctor; checking the number of high-end posts, weekend posts, outpatient overtime posts and total posts arranged by the doctor in the counting period; checking the daily scheduling condition of the doctor in the statistical period.
14. An intelligent doctor scheduling system is characterized by comprising an information configuration module, a scheduling rule setting module and a scheduling module, wherein the information configuration module is used for configuring basic information of scheduling and setting a scheduling rule; the scheduling control module is used for automatically scheduling according to the preset scheduling rule, the predicted personal post number of the doctor and the basic information; and the data statistics query module is used for carrying out data statistics query on the scheduling information.
15. A computer device comprising a memory and a processor, the memory having stored therein a computer program that, when executed by the processor, causes the processor to perform the steps of the method for intelligent scheduling of physicians as claimed in any one of claims 1 to 13.
16. A computer-readable storage medium, having a computer program stored thereon, which, when executed by a processor, causes the processor to perform the steps of the method for intelligent scheduling of physicians as claimed in any one of claims 1 to 13.
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