CN113112149A - Visual service quality evaluation method based on inspection data - Google Patents
Visual service quality evaluation method based on inspection data Download PDFInfo
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- CN113112149A CN113112149A CN202110387760.2A CN202110387760A CN113112149A CN 113112149 A CN113112149 A CN 113112149A CN 202110387760 A CN202110387760 A CN 202110387760A CN 113112149 A CN113112149 A CN 113112149A
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- 238000007689 inspection Methods 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 21
- 230000000007 visual effect Effects 0.000 title claims abstract description 13
- 238000013441 quality evaluation Methods 0.000 title abstract description 9
- 238000011156 evaluation Methods 0.000 claims abstract description 21
- 238000013079 data visualisation Methods 0.000 claims abstract description 7
- 238000004140 cleaning Methods 0.000 claims abstract description 6
- 238000003745 diagnosis Methods 0.000 claims description 72
- 238000005070 sampling Methods 0.000 claims description 7
- 238000012986 modification Methods 0.000 claims description 4
- 230000004048 modification Effects 0.000 claims description 4
- 238000012797 qualification Methods 0.000 claims description 4
- 238000013075 data extraction Methods 0.000 claims description 3
- 238000009877 rendering Methods 0.000 claims 1
- 230000000694 effects Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 238000004159 blood analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000002601 radiography Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
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- 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
- G06Q10/06395—Quality analysis or management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
Abstract
The invention discloses a visual service quality evaluation method based on inspection data, which comprises the following steps: a. extracting inspection data; b. data cleaning; c. converting the data format; d. data statistics and storage; e. drawing a data visualization image; f. and (5) displaying the image. According to the visual evaluation method for the service quality based on the inspection data, disclosed by the invention, the indexes of the inspection process are dynamically and visually displayed through the intelligent statistics of the detailed information in the inspection link, the understanding of a master doctor on the department inspection process is enhanced, an evaluation basis is provided for the service quality in the inspection process, and a basis and a direction are provided for the improvement and promotion of the next service quality.
Description
Technical Field
The invention relates to a medical auxiliary method, in particular to a visual service quality evaluation method based on inspection data.
Background
In the prior art, the quality evaluation is mainly performed by means of patient service satisfaction survey and report scoring statistics, and the defects are that: 1. the subjectivity of the patient evaluation is high, and some patients are low in cooperation with hospitals and cannot reflect real results; 2. the patient satisfaction result information is single, and potential problems cannot be found; 3. each link is scored, the workload is large, and the scoring standard is difficult to confirm; 4. the simple score has a certain value and is not intuitive enough.
Disclosure of Invention
The present invention is directed to provide a visual evaluation method for service quality based on inspection data, which can directly obtain the statistical result of data of the inspection process of departments through a computer or a mobile terminal, and find out potential problems in the inspection process.
In order to achieve the above object, the present invention provides a visual evaluation method for service quality based on inspection data, which comprises the following steps:
a. extracting inspection data;
b. data cleaning;
c. converting the data format;
d. data statistics and storage;
e. drawing a data visualization image;
f. and (5) displaying the image.
In order to provide a comprehensive quality evaluation result, the examination data extraction in the step a is to extract examination time consumption, diagnosis time consumption, application form qualification data, medical examination image rephotography and rephotography times, diagnosis report rewriting and modification times, total examination times, diagnosis conformity marking times, diagnosis conformity rate and patient evaluation from a hospital database by using an ETL tool.
In order to provide a comprehensive quality evaluation result, the data statistics storage in step d refers to:
d.1, classifying the examination time according to outpatient examination and inpatient examination, and inquiring and storing examination time-consuming data in a database according to 4 dimensions of time range, examination category, treatment category and image type;
d.2, calculating the same ratio and the ring ratio of the examination time consumption in the equal time range according to the examination time consumption stored in a classified manner according to the treatment type and the image type;
d.3, calculating the average value, the maximum value, the minimum value and the standard deviation of the examination time consumption in the equal time range according to the examination type and the examination time consumption stored in a classified manner according to the image type;
d.4, inquiring a diagnosis average consumed time and same-proportion ring ratio data list, an inquiry diagnosis consumed time summary data list, the occupation ratio of each stage in inquiry diagnosis average consumed time, an inquiry doctor diagnosis consumed time list and an inquiry doctor diagnosis consumed time summary data list in a database;
d.5, counting the qualified conditions of the application forms in the database, and respectively calculating the qualified rate of the application forms of each dimension according to the five dimensions of the time range, the image type, the treatment category, the clinical department and the doctor;
d.6, according to the dimension of the time range, inquiring the times of the medical examination image rephotographing and the rephotographing persons in the specified time range, and inquiring the proportion and the ring ratio of the times of the medical examination image rephotographing and the rephotographing persons in the equal time range;
d.7, inquiring data of the shooting technicians and the shooting equipment of the medical examination images in the database, and calculating the times of repeated shooting and supplementary shooting of the medical examination images of the shooting technicians and the shooting equipment;
d.8, inquiring a person number data list of the rewriting and the modification of the diagnosis report according to the time range, the image type, the diagnosis category and the four dimensions of the doctor;
d.9 inquiring the total number of people in the specified time range and the number of people in accordance with the diagnosis according to the dimension of the time range, and sampling and counting the diagnosis coincidence rate according to the specified sampling proportion;
d.10, classifying the diagnosis coincidence rate obtained by statistics according to the image type and two dimensionalities of a doctor, and meanwhile, comparing the diagnosis coincidence rate in a single dimensionality according to the equal length time range;
d.11 querying the database for patient assessments including assessment scores for efficiency of medical visits, medical visits and doctors.
In order to provide an intuitive evaluation result, the step e of drawing the data visualization image is to draw a corresponding statistical graph according to the data and dimensions in d.1 and d.4-d.11.
According to the visual evaluation method for the service quality based on the inspection data, disclosed by the invention, the indexes of the inspection process are dynamically and visually displayed through the intelligent statistics of the detailed information in the inspection link, the understanding of a master doctor on the department inspection process is enhanced, an evaluation basis is provided for the service quality in the inspection process, and a basis and a direction are provided for the improvement and promotion of the next service quality.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description of the embodiments, structures, features and effects according to the present invention will be made with reference to the accompanying drawings and preferred embodiments.
Example 1:
the visualized evaluation method for service quality based on inspection data described in this embodiment, as shown in fig. 1, includes the following steps:
a. extracting inspection data;
b. data cleaning;
c. converting the data format;
d. data statistics and storage;
e. drawing a data visualization image;
f. and (5) displaying the image.
In order to provide a comprehensive quality evaluation result, the examination data extraction of the step a is to extract examination time consumption, diagnosis time consumption, application form qualification data, medical examination image rephotography and rephotography times, diagnosis report rewriting and modification times, diagnosis compliance rate and patient evaluation from a hospital database by using an ETL tool.
The ETL tool in this embodiment extracts data from a hospital database in an incremental extraction manner, and specifically, the ETL tool may adopt a key; after data are extracted from a Mysql database in a hospital, the data are washed and converted into a specified data table format, and the data comprise a checking time-consuming data table, a diagnosis time-consuming data table, a request form qualification condition data table, a film shooting quality table, a diagnosis report quality table, a diagnosis conformity condition table and a patient evaluation data table; the examination time consumption data table at least comprises examination time consumption values, examination time, examination types, treatment types and image type fields; the diagnosis time-consuming data table at least comprises diagnosis time-consuming values, diagnosis time, doctors and fields of diagnosis stages, wherein the diagnosis stages at least comprise appointment making, waiting and diagnosis, the fields of each stage store corresponding time-consuming values, and the sum of the time-consuming values of each stage is the diagnosis time-consuming value; the data sheet of the qualified condition of the application form at least comprises an image type, a treatment category, a clinical department, a doctor and a qualified condition field, wherein the qualified condition can be represented as unqualified by 0 and qualified by 1; the shooting quality table at least comprises shooting time, repeated shooting and supplementary shooting number values, shooting technicians and equipment fields for shooting; the diagnosis report quality table comprises report making time, rewritten and modified number of people, treatment type, image type and doctor field; the diagnosis conforming condition table comprises a person to be examined, examination time, diagnosis conforming conditions, image types and doctor fields; the patient evaluation data table at least comprises scoring for the doctor seeing efficiency, scoring for the doctor seeing result and scoring fields for the doctor; the examination time, diagnosis time, imaging time, and report creation time may be stored in the form of year, month, day, and hour.
The data taken out from the database can contain null values and numerical values which do not accord with the actual medical treatment, a data cleaning tool button can be used for cleaning, and the null values and the numerical values which do not accord with the actual medical treatment are cleaned.
In order to provide a comprehensive quality evaluation result, the data statistics storage in step d refers to:
d.1, classifying the examination time according to outpatient examination and inpatient examination, and inquiring and storing examination time-consuming data in a database according to 4 dimensions of time range, examination category, treatment category and image type; in this embodiment, the time ranges refer to year, month and quarter; the examination types refer to different examination items, and specific examination items are specified by hospital users, for example, the examination items can be blood examination and chest radiography examination;
d.2, calculating the same ratio and the ring ratio of the examination time consumption in the equal time range according to the examination time consumption stored in a classified manner according to the treatment type and the image type; the equal length time range refers to one of the year, the month and the season; the calculation of the above-mentioned proportion and ring ratio can be realized by a database code, for example, can be realized by using a database query statement select;
d.3, calculating the average value, the maximum value, the minimum value and the standard deviation of the examination time consumption in the equal time range according to the examination type and the examination time consumption stored in a classified manner according to the image type;
d.4, inquiring a diagnosis average consumed time and same-proportion ring ratio data list, an inquiry diagnosis consumed time summary data list, the occupation ratio of each stage in inquiry diagnosis average consumed time, an inquiry doctor diagnosis consumed time list and an inquiry doctor diagnosis consumed time summary data list in a database; inquiring the occupation ratio of each stage in the average diagnosis time consumption, in this embodiment, calculating the occupation ratio of each stage average value to the average value of the diagnosis time consumption value after calculating the average value of each stage field such as the diagnosis time consumption value field, reservation, waiting, diagnosis and the like in the diagnosis time consumption data table; the doctor diagnosis time consumption list refers to the fact that all diagnosis time of a single doctor is inquired in a database and then stored in a database table mode, and the inquiry doctor diagnosis time consumption summary data list refers to the fact that the diagnosis time of all doctors is inquired and stored in the database table mode;
d.5, counting the qualified conditions of the application forms in the database, and respectively calculating the qualified rate of the application forms of each dimension according to the five dimensions of the time range, the image type, the treatment category, the clinical department and the doctor; the application form is a medical document transmitted among departments and work processes in the work of the hospital, such as a blood transfusion application form and a CT application form, only a qualified application form can be received, and the application content can be executed;
d.6, according to the dimension of the time range, inquiring the times of the medical examination image rephotographing and the rephotographing persons in the specified time range, and inquiring the proportion and the ring ratio of the times of the medical examination image rephotographing and the rephotographing persons in the equal time range;
d.7, inquiring data of the shooting technicians and the shooting equipment of the medical examination images in the database, and calculating the times of repeated shooting and supplementary shooting of the medical examination images of the shooting technicians and the shooting equipment;
d.8, inquiring a diagnosis report rewriting and modified person number data list according to the time range, the image type, the treatment category and the doctor dimension, wherein the inquiring of the diagnosis report rewriting and modified person number data list refers to inquiring corresponding diagnosis report rewriting and modified person number data from the diagnosis report quality table according to the four dimensions and storing the data in a database table form;
d.9 inquiring the total number of people in the specified time range and the number of people in accordance with the diagnosis according to the dimension of the time range, and sampling and counting the diagnosis coincidence rate according to the specified sampling proportion;
d.10, classifying the diagnosis coincidence rate obtained by statistics according to the image type and two dimensionalities of a doctor, and meanwhile, comparing the diagnosis coincidence rate in a single dimensionality according to the equal length time range; because the total number of people is large, d.9 samples are extracted from the diagnosis coincidence condition table according to the sampling proportion and stored in the form of a database table, the diagnosis coincidence conditions in the samples are counted, according to the image types and the doctor fields, the diagnosis coincidence rate of each image type and the diagnosis coincidence rate of each doctor are inquired from the database table of the samples, then the annual year coincidence ratio, the quarterly coincidence ratio and the monthly coincidence ratio of each image type are calculated, the same ratio value of each doctor can be calculated, and the calculation process can be realized by inquiring sentences;
d.11 inquiring the patient evaluation in the database, wherein the patient evaluation comprises evaluation scores of the doctor, the doctor and the efficiency of the doctor, and the numerical values inquired from the database are listed into a database table for storage.
In order to provide an intuitive evaluation result, the step e of drawing the data visualization image refers to drawing a corresponding statistical graph according to the data and dimensions in d.1, d.4-d.11, wherein the statistical graph comprises a histogram, a broken line graph, a histogram and the like, a visualization display interface is automatically constructed, and finally the statistical graph is displayed on the mobile terminal or the computer terminal.
According to the visual evaluation method for the service quality based on the inspection data, the indexes of the inspection process are dynamically and visually displayed through the detailed information in the intelligent statistics inspection link, the understanding of a master doctor on the department inspection process is enhanced, an evaluation basis is provided for the service quality in the inspection process, and a basis and a direction are provided for the improvement and promotion of the next service quality.
Although the present invention has been described with reference to the preferred embodiments, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (4)
1. A visual evaluation method of service quality based on inspection data is characterized by comprising the following steps:
a. extracting inspection data;
b. data cleaning;
c. converting the data format;
d. data statistics and storage;
e. drawing a data visualization image;
f. and (5) displaying the image.
2. The visual assessment method for service quality based on examination data as claimed in claim 1, wherein said examination data extraction of step a is to extract examination time, diagnosis time, application form qualification data, medical examination image rephotography and rephotography frequency, diagnosis report rewrite and revision frequency, diagnosis compliance rate and patient evaluation from hospital database by using ETL tool.
3. The visual assessment method for service quality based on inspection data as claimed in claim 2, wherein said data statistical storage in step d is:
d.1, classifying the examination time according to outpatient examination and inpatient examination, and inquiring and storing examination time-consuming data in a database according to 4 dimensions of time range, examination category, treatment category and image type;
d.2, calculating the same ratio and the ring ratio of the examination time consumption in the equal time range according to the examination time consumption stored in a classified manner according to the treatment type and the image type;
d.3, calculating the average value, the maximum value, the minimum value and the standard deviation of the examination time consumption in the equal time range according to the examination type and the examination time consumption stored in a classified manner according to the image type;
d.4, inquiring a diagnosis average consumed time and same-proportion ring ratio data list, an inquiry diagnosis consumed time summary data list, the occupation ratio of each stage in inquiry diagnosis average consumed time, an inquiry doctor diagnosis consumed time list and an inquiry doctor diagnosis consumed time summary data list in a database;
d.5, counting the qualified conditions of the application forms in the database, and respectively calculating the qualified rate of the application forms of each dimension according to the five dimensions of the time range, the image type, the treatment category, the clinical department and the doctor;
d.6, according to the dimension of the time range, inquiring the times of the medical examination image rephotographing and the rephotographing persons in the specified time range, and inquiring the proportion and the ring ratio of the times of the medical examination image rephotographing and the rephotographing persons in the equal time range;
d.7, inquiring data of the shooting technicians and the shooting equipment of the medical examination images in the database, and calculating the times of repeated shooting and supplementary shooting of the medical examination images of the shooting technicians and the shooting equipment;
d.8, inquiring a person number data list of the rewriting and the modification of the diagnosis report according to the time range, the image type, the diagnosis category and the four dimensions of the doctor;
d.9 inquiring the total number of people in the specified time range and the number of people in accordance with the diagnosis according to the dimension of the time range, and sampling and counting the diagnosis coincidence rate according to the specified sampling proportion;
d.10, classifying the diagnosis coincidence rate obtained by statistics according to the image type and two dimensionalities of a doctor, and meanwhile, comparing the diagnosis coincidence rate in a single dimensionality according to the equal length time range;
d.11 querying the database for patient assessments including assessment scores for efficiency of medical visits, medical visits and doctors.
4. The visual assessment method for service quality based on inspection data as claimed in claim 3, wherein the data visualization image rendering in step e is to render the corresponding statistical graph with the data and dimensions in d.1, d.4-d.11.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113806336A (en) * | 2021-09-30 | 2021-12-17 | 北京蓝海医信科技有限公司 | Data quality evaluation method and system |
| CN117289669A (en) * | 2023-11-27 | 2023-12-26 | 青岛创新奇智科技集团股份有限公司 | Automatic adjustment type production line control system and method based on industrial large model |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5894311A (en) * | 1995-08-08 | 1999-04-13 | Jerry Jackson Associates Ltd. | Computer-based visual data evaluation |
| CN105528529A (en) * | 2016-02-20 | 2016-04-27 | 成都中医药大学 | Data processing method of traditional Chinese medicine clinical skill evaluation system based on big data analysis |
| CN110765116A (en) * | 2019-09-28 | 2020-02-07 | 杨志刚 | Hospital honesty risk prevention and control system based on commercial intelligent system development |
-
2021
- 2021-04-12 CN CN202110387760.2A patent/CN113112149A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5894311A (en) * | 1995-08-08 | 1999-04-13 | Jerry Jackson Associates Ltd. | Computer-based visual data evaluation |
| CN105528529A (en) * | 2016-02-20 | 2016-04-27 | 成都中医药大学 | Data processing method of traditional Chinese medicine clinical skill evaluation system based on big data analysis |
| CN110765116A (en) * | 2019-09-28 | 2020-02-07 | 杨志刚 | Hospital honesty risk prevention and control system based on commercial intelligent system development |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113806336A (en) * | 2021-09-30 | 2021-12-17 | 北京蓝海医信科技有限公司 | Data quality evaluation method and system |
| CN117289669A (en) * | 2023-11-27 | 2023-12-26 | 青岛创新奇智科技集团股份有限公司 | Automatic adjustment type production line control system and method based on industrial large model |
| CN117289669B (en) * | 2023-11-27 | 2024-02-02 | 青岛创新奇智科技集团股份有限公司 | Automatic adjustment type production line control system and method based on industrial large model |
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