CN112712223A - Method and system for calculating clinical study list task man-hour - Google Patents
Method and system for calculating clinical study list task man-hour Download PDFInfo
- Publication number
- CN112712223A CN112712223A CN201911018676.2A CN201911018676A CN112712223A CN 112712223 A CN112712223 A CN 112712223A CN 201911018676 A CN201911018676 A CN 201911018676A CN 112712223 A CN112712223 A CN 112712223A
- Authority
- CN
- China
- Prior art keywords
- clinical
- data
- task
- working time
- project
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 59
- 238000011160 research Methods 0.000 claims abstract description 76
- 238000004364 calculation method Methods 0.000 claims abstract description 43
- 230000008569 process Effects 0.000 claims abstract description 17
- 239000011159 matrix material Substances 0.000 claims description 29
- 238000013500 data storage Methods 0.000 claims description 7
- 238000007726 management method Methods 0.000 abstract description 15
- 238000011156 evaluation Methods 0.000 abstract description 6
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 239000012472 biological sample Substances 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000009472 formulation Methods 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000008520 organization Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 239000012634 fragment Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 208000006750 hematuria Diseases 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 210000000130 stem cell Anatomy 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Data Mining & Analysis (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Computational Mathematics (AREA)
- Mathematical Optimization (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mathematical Physics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Analysis (AREA)
- Bioinformatics & Computational Biology (AREA)
- Probability & Statistics with Applications (AREA)
- Evolutionary Biology (AREA)
- Algebra (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Biodiversity & Conservation Biology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a method for calculating the clinical research single task working hours, which comprises the following steps: receiving clinical project task data; collecting task completion data of each clinical project task completed by a worker; the invention also provides a system using the method for calculating the clinical research single task man-hour. According to the invention, the clinical project task data is confirmed before the clinical research is started, the task completion data of the workers is collected after the clinical research is started, and finally, the accurate and scientific single-task working hour data can be obtained through calculation and statistics, so that the management of the clinical research is facilitated, the performance management and evaluation of the workers are improved, the budget and the cost of the clinical research are conveniently controlled, the planning of the clinical research plan is facilitated, the process planning and prediction of the clinical research can be clearer, and the working efficiency of the clinical research is improved.
Description
The technical field is as follows:
the invention relates to the technical field of clinical research, in particular to a method and a system for calculating the work hours of a clinical research sheet task.
Background art:
in the current clinical research work, an accurate and scientific calculation method for the single task working hour of the clinical research is lacked, and the numerical value of the single task working hour is closely related to each work of the clinical research, so that the method has wide application in the actual work, such as performance management and evaluation of workers, budget and cost control of the clinical research, planning of clinical research plans, process planning and prediction and the like. In the prior art, each pharmaceutical company, Contract Research Organization (CRO) or Contract registration Organization (CRAO) in the field mostly adopts a time card (TimeCard) to perform statistical calculation on the single-task man-hour, i.e. a worker regularly inputs the completed work conditions into the time card in a software or paper form, usually once per month, and then calculates the single-task man-hour in a statistical manner, the time card is adopted, the first time card has great randomness, the obtained statistical data has strong subjective performance, the calculation result is easy to distort, the second task is not classified finely, the statistical module of the existing time card is general, and the execution details of the clinical Research work are difficult to accurately Research, so the acquisition and calculation of the single-task man-hour of the clinical Research by adopting the time card are often deviated from the real situation, there is no effective predictive budget for clinical studies.
In order to better develop Clinical Research, Clinical Research staff, namely, main participants and coordinators of Clinical Research are taken as main statistical targets, including but not limited to Clinical coordinators (CRC), attending physicians, Clinical inspectors (CRA), and Clinical Research associates), and high-precision single-task man-hour data with scientific guarantee is obtained by performing real-time acquisition and mathematical modeling analysis on the working conditions of each unit, including average man-hour of a project single-task, average man-hour of a single-person single-project, average man-hour of a single-task of a specific company, average man-hour of a single-task of a specific hospital, and further, a good data theoretical basis is laid for scientific and efficient management of Clinical Research.
Therefore, there is a need in the art for a method and system for calculating the labor hour of a clinical study list.
The invention is provided in view of the above.
The invention content is as follows:
the invention aims to provide a calculation method and a system which can better calculate the labor hour of a clinical research list task so as to solve at least one technical problem in the prior art.
Specifically, in a first aspect of the present invention, a method for calculating clinical study list task hours is provided, where the method for calculating clinical study list task hours includes the following steps:
receiving clinical project task data;
collecting task completion data of each clinical project task completed by a worker;
and calculating the work hours of the single task.
By adopting the scheme, the clinical project task data are confirmed before the clinical research starts, the task completion data of the workers are collected after the clinical research starts, accurate and scientific single-task working hour data can be obtained by calculation and statistics, the clinical research is convenient to manage, the performance management and evaluation of the workers are improved, the clinical research budget and cost are convenient to control, the clinical research plan is convenient to make, the progress planning and prediction of the clinical research can be clearer, and the working efficiency of the clinical research is improved.
Preferably, before the step of receiving clinical item task data, the method further comprises the steps of: receiving clinical study data, the clinical study data comprising: clinical study location data, clinical study contractor data, clinical study project data, and clinical study staff data, wherein the clinical study data is used to determine a clinical study to be calculated, and to distinguish the clinical study with calculation from other clinical studies, and to provide calculation data required for calculation for subsequent steps.
Preferably, the clinical project task data received in the step of receiving clinical project task data is data of all work projects in the process of clinical research, and is used for providing required calculation data support for subsequent steps.
Further, the step of receiving clinical project task data further comprises the steps of: the received project task quantity is counted, the project task quantity is recorded as i, the i is 1, 2 and 3 … n, the whole framework of the clinical research can be clearly and visually reflected through the steps, the working process, namely the working time, of the clinical research staff is conveniently and reasonably arranged, and the execution force of the clinical research is improved.
Preferably, the step of collecting task completion data of each clinical project task completed by the staff member includes the following steps: the method comprises the following steps of working duration of unit working time, the number of times of working in unit working time, the number of times of completing a single clinical item task in unit working time and the type of the single completed clinical item task in unit working time, wherein the number of times of working in unit working time is recorded as j, the j is 1, 2 and 3 … m, and the m is larger than or equal to n.
In an actual implementation process, the unit working time is a time length of each continuous working, for example, in an 8-hour working system, the working time length of the unit working time is 8 hours, the number of times of the unit working time is obtained by a worker in completing the unit working time, the number of times of completing the clinical project task in the unit working time is the number of times of completing the clinical project task in the 8-hour working, and the type of completing the clinical project task in the unit working time is the type of completing the clinical project task in the 8-hour working.
Preferably, the single clinical project task time further includes a base time, the base time is denoted as x0, the number of times of completion of the single clinical project task within the unit work time corresponding to the base time is denoted as am0, and am0 is 1.
Further, the working time duration of the unit working time is denoted as T, the working time duration of the unit working time can be denoted as T1, T2, and T3 … Tm, respectively, according to the number of times of performing the unit working time, the individual clinical item task time count in the item task data is set as a variable x, the individual clinical item task time count can be denoted as x1 and x2 … xn, respectively, according to the type of the individual clinical item task to be performed and the number of the item tasks within the unit working time, the individual clinical item task time count within the unit working time is denoted as a, and the individual clinical item task time count within the unit working time can be denoted as a10, a11, and a12 … amn, respectively, according to the number of times of performing the unit working time and the number of the item tasks.
Preferably, in the step of calculating the single task time, a correlation coefficient matrix is used for calculating the working time of the unit working time and the number of times of completing the single clinical item task within the unit working time, the correlation coefficient matrix can calculate each single clinical item task time, and the correlation coefficient matrix is an m × n real number matrix, where m is the number of times of performing the unit working time and n is the number of the item tasks, so that m × n is a rectangle with m rows and n +1 columns, and m is greater than or equal to n.
Further, the coefficients used in the matrix of correlation coefficients are derived from task completion data and project task data.
Further, the working time length T per unit working time, the single clinical item task working hours x, and the number of times a that a single clinical item task is completed within the unit working time have a relationship of the following formula:
that is, for any unit working time, the sum of the products of the completion times of each completed clinical project task and the working hours of the clinical project task is equal to the working time of the unit working time of the time.
Further, according to the above formula relationship, the correlation coefficient relationship among the working time length per unit working time, the single clinical item task working time in the item task data, and the single clinical item task completion count in the unit working time is R × X ═ T, R is a coefficient matrix of the single clinical item task completion count in the unit working time, X is a coefficient matrix of the single clinical item task working time in the item task data, and T is a coefficient matrix of the working time length per unit working time, so the correlation coefficient matrix is:
further, the operating time lengths of the respective units of operating time are equal, i.e., T1-T2-T3 … -Tm.
Preferably, when the number of clinical project tasks is equal to the number of times of performing the unit work time, uniquely determined values of x0, x 1.,. xn, i.e. uniquely determined individual single-task man-hours, can be calculated by the above method, and when the number of times of performing the unit work time is greater than the number of clinical project tasks, multiple sets of values of x0, x 1.,. xn can be calculated by the above method, and at this time, the values of x0, x 1.,. xn, i.e. determined by the least square method in the mathematical calculation, i.e. determined individual single-task man-hours can be calculated.
Preferably, after the step of calculating the single task man-hour, the method further comprises the steps of: receiving a calculation result and sending out a calculation result instruction, wherein the calculation result instruction comprises a continuous output instruction and a recalculation instruction, and when a determined value x0, x 1.., xn is obtained in the calculation result, the continuous output instruction is sent out; when the determined values of x0, x 1.., xn are not present or absent in the calculation result, a recalculation instruction is issued, and the calculation result instruction reenters the task completion data step of collecting each clinical project task completed by the staff at the time of the recalculation instruction.
Further, using the matrix, any xn value can be calculated, i.e. any single task time in a clinical study can be calculated.
By adopting the scheme, the accuracy of the calculation of the single task working hours can be obviously improved, the variables and the coefficients introduced in the calculation process meet the requirements of actual work, the calculated single task working hours have great data significance to the actual work, and the method can be used for calculating and obtaining the average working hours of the project single tasks, the average working hours of the single projects of the single person, the average working hours of the single tasks of specific companies and the average working hours of the single tasks of specific hospitals, has strong universality and can lay an excellent data theoretical basis for the management of clinical research.
Specifically, the second aspect of the present invention provides a clinical study form task work hour computing system, which includes a database server and a data terminal, wherein the database server includes a data receiving module, a data computing module, a data collecting module and a data storing module, the data terminal includes a requester terminal and a sponsor terminal, the data storing module is connected with the data receiving module, the data computing module and the data collecting module and is used for storing the work data of each module in the system, the data receiving module is connected with the data computing module and the data storing module and is used for receiving the uploaded clinical project task data and clinical study data, the data computing module is connected with the data receiving module, the data collecting module and the data storing module and is used for computing the work hours of each clinical project task, the data acquisition module is connected with the data calculation module and the data storage module and used for acquiring task completion data of each clinical project task completed by a worker, the database server is connected with the data terminal, and the data terminal is used for receiving and transmitting the clinical project task data, the clinical research data and the task completion data of each clinical project task completed by the worker to the database server.
In conclusion, the invention has the following beneficial effects:
1. according to the invention, the accurate and scientific single-task man-hour data can be obtained by confirming the clinical project task data before the clinical research starts, collecting the task completion data of the workers after the clinical research starts, and finally carrying out calculation and statistics;
2. by adopting the invention, the clinical research can be conveniently managed, the performance management and evaluation to workers are improved, the budget and the cost of the clinical research are conveniently controlled, the formulation of a clinical research plan is convenient, the process planning and prediction of the clinical research can be clearer, and the working efficiency of the clinical research is improved.
Description of the drawings:
in order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method of calculating clinical study order labor hours according to the present invention;
FIG. 2 is a schematic diagram of a clinical study form task work hour computing system according to the present invention.
The specific implementation mode is as follows:
reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
The present invention will be described in detail below by way of examples.
The embodiment of the application solves at least one technical problem in the prior art by providing the method and the system for calculating the clinical study list task working hours, and ensures that clinical study work has a solid mathematical theoretical basis.
In order to solve the technical problems, the general idea of the embodiment of the application is as follows:
receiving clinical project task data;
collecting task completion data of each clinical project task completed by a worker;
and calculating the work hours of the single task.
By adopting the scheme, the clinical project task data are confirmed before the clinical research starts, the task completion data of the workers are collected after the clinical research starts, accurate and scientific single-task working hour data can be obtained by calculation and statistics, the clinical research is convenient to manage, the performance management and evaluation of the workers are improved, the clinical research budget and cost are convenient to control, the clinical research plan is convenient to make, the progress planning and prediction of the clinical research can be clearer, and the working efficiency of the clinical research is improved.
Example 1
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
As shown in FIG. 1, the invention provides a method for calculating the labor hour of a clinical research list task, which comprises the following steps:
s201, receiving clinical project task data;
in particular implementations, prior to the start of a clinical study, the clinical study can be broken down into multiple clinical project tasks, such as in a stem cell clinical study, the project can be divided into informed consent, randomized groupings, assessment of inclusion criteria, medical history collection, physical examination, imaging examination and assessment, scales, questionnaires or comprehensive assessments, physical examinations, hematuria examinations, home facility biological sample collection and examination, central laboratory biological sample management, study drug management, medical record & EDC entry & interrogations tables, study file management, AE/SAE management, EC submission management, patient follow-up, others, 18 types of single tasks for use in actual work, based on relevant records in an existing clinical study of the same type or clinical study history database, including data for all work items of all of the above single task data, for providing the required computational data support for the subsequent steps.
In a specific implementation process, after the step S201, the method further includes: and S202, counting the number of the received project tasks.
In a preferred embodiment of the present invention, the number of project tasks is denoted as i, which is 1, 2, 3 … n,
s301, collecting task completion data of each clinical project task completed by a worker;
in a specific implementation process, the step of collecting task completion data of each clinical project task completed by a worker includes the following steps: the working time of unit working time, the number of times of working, the number of times of completing the single clinical item task in unit working time, and the type of the single clinical item task completed in unit working time.
In a specific implementation process, the unit working time is a continuous working time of each time, for example, in an 8-hour working system, the working time of the unit working time is 8 hours, the number of times of the unit working time is obtained by a worker completing the unit working time, the number of times of completing the clinical project task in the unit working time is the number of times of completing the clinical project task in the 8-hour working, and the type of completing the clinical project task in the unit working time is the type of completing the clinical project task in the 8-hour working.
In a preferred embodiment of the present invention, the single clinical item task time further includes a base time, the base time is denoted as x0, the number of times that the single clinical item task is completed within a unit of work time corresponding to the base time is denoted as am0, am0 is 1, and the base time is an aggregated value of non-work spending time such as preparation time and fragment time in work.
In a preferred embodiment of the present invention, the number of times of performing the unit working time is represented by j, j is 1, 2, 3 … m, the working time duration of the unit working time is represented by T, the working time durations of the unit working time can be respectively represented by T1, T2, T3 … Tm according to the number of times of performing the unit working time, the individual clinical item task time in the item task data is set as a variable x, the individual clinical item task time duration can be respectively represented by x1, x2 … xn according to the type of the individual clinical item task to be completed and the number of the item tasks within the unit working time, the number of times of completing the individual clinical item task within the unit working time is represented by a, the number of times of performing the unit working time and the number of the item tasks are respectively represented by a10, a11, a12 … amn.
By adopting the scheme, the whole framework of clinical research can be clearly and visually reflected, the working process, namely the working time, of clinical research staff is conveniently and reasonably arranged, and the execution force of the clinical research is improved.
S401, calculating the single task man-hour.
In a specific implementation process, the step of calculating the single task working hours is to calculate a correlation coefficient matrix of the working duration of a unit working time and the completion times of a single clinical project task within the unit working time, the correlation coefficient matrix can calculate each single clinical project task working hour, the correlation coefficient matrix is a real number matrix of m × n, where m is the number of times of performing the unit working time, n is the number of project tasks, so m × n is a rectangle of m rows and n +1 columns, and m is greater than or equal to n, and coefficients used in the correlation coefficient matrix are derived from task completion data and project task data.
In a specific implementation process, the working time length T of the unit working time, the working hours x of the single clinical project task, and the completion times a of the single clinical project task within the unit working time have a relationship of the following formula:
that is, for any unit working time, the sum of the products of the completion times of each completed clinical project task and the working hours of the clinical project task is equal to the working time of the unit working time of the time.
In a specific implementation process, according to the above formula relationship, the correlation coefficient relationship among the working time length per unit working time, the single clinical item task working time in the item task data, and the single clinical item task completion time within the unit working time is R × X ═ T, R is a coefficient matrix of the single clinical item task completion time within the unit working time, X is a coefficient matrix of the single clinical item task working time in the item task data, and T is a coefficient matrix of the working time length per unit working time, so the correlation coefficient matrix is:
in a preferred embodiment of the present invention, the operating time lengths of the respective units of operating time are equal, i.e., T1 ═ T2 ═ T3 … ═ Tm.
In a preferred embodiment of the present invention, when the number of clinical project tasks is equal to the number of times of performing the unit work time, the uniquely determined values of x0, x 1.,. xn, i.e. the uniquely determined individual single-task man-hours, can be calculated by the above method, and when the number of times of performing the unit work time is greater than the number of clinical project tasks, the values of a plurality of sets of x0, x 1.,. xn can be calculated by the above method, and when the values of x0, x 1.,. xn, i.e. the uniquely determined individual single-task man-hours, are calculated by a least square method using a fitting method in mathematical calculation.
In a preferred embodiment of the present invention, after the step S401, the method further includes the steps of: receiving a calculation result and sending out a calculation result instruction, wherein the calculation result instruction comprises a continuous output instruction and a recalculation instruction, and when a determined value x0, x 1.., xn is obtained in the calculation result, the continuous output instruction is sent out; when there is no or no determined value of x0, x 1.., xn in the calculation result, a recalculation instruction is issued, and the calculation result instruction re-enters step S301 when it is a recalculation instruction.
The matrix can be used for calculating to obtain any xn value, namely, the calculation accuracy of the single task working hour in clinical research can be obviously improved by calculating to obtain any single task working hour, the variables and coefficients introduced in the calculation process meet the requirements of actual work, the calculated single task working hour has great data significance for the actual work, the calculated average working hour of the project single task, the average working hour of the single task of a specific company and the average working hour of the single task of a specific hospital can be obtained through calculation, the universality is strong, and a good data theoretical basis can be laid for the management of the clinical research.
In a preferred embodiment of the present invention, before the step S201, the method further includes: step S101, receiving clinical study data.
In specific implementations, the clinical study data includes: clinical study location data, clinical study contractor data, clinical study project data, and clinical study staff data, wherein the clinical study data is used to determine a clinical study to be calculated, and to distinguish the clinical study with calculation from other clinical studies, and to provide calculation data required for calculation for subsequent steps.
Further, the present invention also provides a computer-readable storage medium on which a computer program is stored, which when executed by a processor, implements the method of calculating clinical study order labor hours in the above-described embodiments. The computer storage medium may be various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Further, the present invention also provides an apparatus, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the program to implement the method for calculating the clinical study list task time in the above embodiment. Specifically, the device may be a computing method integrated with the clinical study list task time in the above embodiment, such as a mobile phone, a tablet computer, and a PC, and the integrated form may be a mobile phone applet, a mobile phone APP, computer software, and the like.
As shown in fig. 2, the present invention further provides a system for calculating clinical study list task time, the system for calculating clinical study list task time includes a database server and a data terminal, the database server includes a data receiving module, a data calculating module, a data collecting module and a data storing module, the data terminal includes a requester terminal and a supporter terminal, the data storing module is connected to the data receiving module, the data calculating module and the data collecting module and is used for storing the working data of each module in the system, the data receiving module is connected to the data calculating module and the data storing module and is used for receiving the uploaded clinical study item task data and clinical study data, the data calculating module is connected to the data receiving module, the data collecting module and the data storing module and is used for calculating the working time length of each single clinical study task of each clinical study task, the data acquisition module is connected with the data calculation module and the data storage module and used for acquiring task completion data of each clinical project task completed by a worker, the database server is connected with the data terminal, and the data terminal is used for receiving and transmitting the clinical project task data, the clinical research data and the task completion data of each clinical project task completed by the worker to the database server.
In particular implementations, the system may be used by one or more project recipients. The requester terminal and the contractor terminal can be specific terminal devices, and can also be general terminal devices such as mobile phones, tablet computers and the like, and different terminals are formed in an account login mode.
In conclusion, the invention can obtain accurate and scientific single-task man-hour data by confirming the task data of the clinical project before the clinical research begins, collecting the task completion data of the staff after the clinical research begins, and finally carrying out calculation and statistics; by adopting the invention, the clinical research can be conveniently managed, the performance management and evaluation to workers are improved, the budget and the cost of the clinical research are conveniently controlled, the formulation of a clinical research plan is convenient, the process planning and prediction of the clinical research can be clearer, and the working efficiency of the clinical research is improved.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
It should be understood that the technical problems can be solved by combining and combining the features of the embodiments from the claims.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for calculating the working hours of a clinical research single task is characterized in that: the method for calculating the clinical study single task working hours comprises the following steps:
receiving clinical project task data;
collecting task completion data of each clinical project task completed by a worker;
and calculating the work hours of the single task.
2. The method for calculating the labor hour of a clinical research single task according to claim 1, wherein: before the step of receiving clinical project task data, the method further comprises the following steps: receiving clinical study data, the clinical study data comprising: clinical study location data, clinical study contractor data, clinical study project data, and clinical study staff data, wherein the clinical study data is used to determine a clinical study to be calculated, and to distinguish the clinical study with calculation from other clinical studies, and to provide calculation data required for calculation for subsequent steps.
3. The method for calculating the labor hour of a clinical research single task according to claim 1, wherein: the clinical project task data received in the step of receiving clinical project task data is data of all work projects in the process of clinical research, and is used for providing required calculation data support for subsequent steps.
4. The method for calculating the labor hour of a clinical research single task according to claim 3, wherein: the step of receiving clinical project task data further comprises the following steps: and counting the number of received project tasks, and recording the number of the project tasks as i, wherein i is 1, 2 and 3 … n.
5. The method for calculating the labor hour of a clinical research single task according to claim 4, wherein: the task completion data of the staff collected in the step of collecting the task completion data of each clinical project task completed by the staff comprises the following steps: the working time length of unit working time, the number of times of performing of single clinical project task within unit working time, and the type of single clinical project task completed within unit working time, the number of times of performing of unit working time is denoted as j, j is 1, 2, 3 … m, the working time length of unit working time is denoted as T, the working time lengths of unit working time can be respectively denoted as T1, T2, and T3 … Tm according to the number of times of performing of unit working time, the single clinical project task time hours in the project task data are set as variable x, the single clinical project task time hours can be respectively denoted as x1, x2, and x3 … xn according to the type of single clinical project task completed within unit working time and the number of project tasks completed within unit working time is denoted as a, according to the number of the progress times and the number of the project tasks in the unit working time, the number of the completion times of the single clinical project task in the unit working time can be respectively marked as a10, a11 and a12 … amn.
6. The method for calculating the clinical study singleton labor hour of claim 5, wherein: the single clinical project task time further comprises a base time, the base time is marked as x0, the number of times of completion of the single clinical project task within a unit working time corresponding to the base time is marked as am0, and the am0 is 1.
7. The method for calculating the clinical study singleton labor hour of claim 6, wherein: the step of calculating the single task working hours is to calculate a correlation coefficient matrix of the working duration of unit working time and the completion times of single clinical project tasks in the unit working time, the correlation coefficient matrix can calculate the working hours of each single clinical project task, the correlation coefficient matrix is a real number matrix of m × n, the m × n is a rectangle with m rows and n +1 columns, m is larger than or equal to n, and coefficients used in the correlation coefficient matrix are derived from task completion data and project task data.
8. The method for calculating the clinical study singleton labor hour of claim 6, wherein: the working duration T of the unit working time, the working hour x of a single clinical project task and the completion times a of the single clinical project task in the unit working time have the following relation:
that is, for any unit working time, the sum of the products of the completion times of each completed clinical project task and the working hours of the clinical project task is equal to the working time of the unit working time of the time.
9. The method for calculating clinical study singleton labor hours of claim 7, wherein: according to the above formula relationship, the correlation coefficient relationship among the working time length per unit working time, the single clinical item task time in the item task data, and the single clinical item task completion time within the unit working time is R X T, R is the coefficient matrix of the single clinical item task completion time within the unit working time, X is the coefficient matrix of the single clinical item task time in the item task data, and T is the coefficient matrix of the working time length per unit working time, so the correlation coefficient matrix is:
10. a clinical study singles task labor hour computing system, comprising: the clinical research single task working hour computing system comprises a database server and a data terminal, wherein the database server comprises a data receiving module, a data computing module, a data acquisition module and a data storage module, the data terminal comprises a requester terminal and a carrier terminal, the data storage module is connected with the data receiving module, the data computing module and the data acquisition module and used for storing the working data of each module in the system, the data receiving module is connected with the data computing module and the data storage module and used for receiving the uploaded clinical project task data and clinical research data, the data computing module is connected with the data receiving module, the data acquisition module and the data storage module and used for computing the working time length of each single project task of each clinical project task, and the data acquisition module is connected with the data computing module and the data storage module, the data terminal is used for receiving and transmitting the clinical project task data, the clinical research data and the task completion data of each clinical project task completed by the staff to the database server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911018676.2A CN112712223A (en) | 2019-10-24 | 2019-10-24 | Method and system for calculating clinical study list task man-hour |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911018676.2A CN112712223A (en) | 2019-10-24 | 2019-10-24 | Method and system for calculating clinical study list task man-hour |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112712223A true CN112712223A (en) | 2021-04-27 |
Family
ID=75540318
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911018676.2A Pending CN112712223A (en) | 2019-10-24 | 2019-10-24 | Method and system for calculating clinical study list task man-hour |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112712223A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE19757988A1 (en) * | 1997-12-24 | 1999-07-22 | Fraunhofer Ges Forschung | Processing system for determination of production cycle times |
| CN108196995A (en) * | 2016-12-08 | 2018-06-22 | 成都华为技术有限公司 | A kind of determining processing task is averaged the method and apparatus of duration |
| CN108876108A (en) * | 2018-05-17 | 2018-11-23 | 浙江工业大学 | A kind of task schedule optimization method based on Hospital Logistic delivery system |
| CN109559810A (en) * | 2018-11-27 | 2019-04-02 | 柳州市妇幼保健院 | A kind of Optimizing Configuration System of hospital department fixing post quantity |
-
2019
- 2019-10-24 CN CN201911018676.2A patent/CN112712223A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE19757988A1 (en) * | 1997-12-24 | 1999-07-22 | Fraunhofer Ges Forschung | Processing system for determination of production cycle times |
| CN108196995A (en) * | 2016-12-08 | 2018-06-22 | 成都华为技术有限公司 | A kind of determining processing task is averaged the method and apparatus of duration |
| CN108876108A (en) * | 2018-05-17 | 2018-11-23 | 浙江工业大学 | A kind of task schedule optimization method based on Hospital Logistic delivery system |
| CN109559810A (en) * | 2018-11-27 | 2019-04-02 | 柳州市妇幼保健院 | A kind of Optimizing Configuration System of hospital department fixing post quantity |
Non-Patent Citations (2)
| Title |
|---|
| 汪宏, 吴明, 宋艳丽, 韩志福, 梵凯敏, 姜岩: ""单位时间服务量"研究及其在区域卫生人力资源配置中的应用", 中国卫生资源, vol. 3, no. 06, pages 283 - 284 * |
| 韩祺;石兰萍;: "医院特需病房护理人力资源配置探讨", 护理研究, no. 02 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| He et al. | The timing of staffing decisions in hospital operating rooms: incorporating workload heterogeneity into the newsvendor problem | |
| Hansen et al. | Multi-criteria decision analysis (MCDA) in healthcare decision-making | |
| Gravelle et al. | Competition, prices and quality in the market for physician consultations | |
| Alexopoulos et al. | Modeling patient arrivals in community clinics | |
| CN103729776B (en) | Aggregation of data analysis system | |
| De Vuyst et al. | Computationally efficient evaluation of appointment schedules in health care | |
| Sahni et al. | The IT transformation health care needs | |
| CN106663258A (en) | Measurement of multi-screen internet user profiles, transactional behaviors and structure of user population through a hybrid census and user based measurement methodology | |
| US20120041776A1 (en) | Clinical laboratory test information system and non-transitory storage medium | |
| Lobo et al. | Using claims data linked with electronic health records to monitor and improve adherence to medication | |
| CN113066564A (en) | Medical bed arrangement system based on big data | |
| CN111639743A (en) | Intelligent hospital information acquisition method and system with user as core | |
| Chin et al. | Evaluating a comprehensive outpatient clinical information system: a case study and model for system evaluation. | |
| Baril et al. | Design of experiments and discrete-event simulation to study oncology nurse workload | |
| JP6131976B2 (en) | Personnel management system, information analysis apparatus, personnel management method, and personnel management program | |
| World Health Organization | A short guide on methods: measuring the impact of national PMTCT programmes: towards the elimination of new HIV | |
| JP2002056103A (en) | Business support system for doctor | |
| CN112735579A (en) | Rapid registration treatment system for emergency patients | |
| CN112712223A (en) | Method and system for calculating clinical study list task man-hour | |
| US20040117200A1 (en) | Remote service providing system and charge computing method | |
| von Wagner et al. | Towards accurate and automatic emergency department workflow characterization using a real-time locating system | |
| CN113052417A (en) | Resource allocation method and device | |
| Edwards et al. | Maximizing your investment in EHR | |
| CN116228132A (en) | Data management method and device of RM system, electronic equipment and medium | |
| Miguel Cruz et al. | Determinants in the number of staff in hospitals’ maintenance departments: a multivariate regression analysis approach |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |