Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Prediction method and system for hospital outpatient clinic treatment amount

A forecasting method and technology for the number of visits, applied in forecasting, healthcare informatics, and managing healthcare resources, etc., can solve problems such as low precision and poor forecasting performance, and achieve the effect of high forecasting accuracy

Pending Publication Date: 2019-08-09
坤智大数据科技(哈尔滨)有限公司
View PDF2 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Therefore, the method and system for predicting the amount of hospital outpatient visits provided by the present invention overcomes the problem of poor predictive performance and low precision in the prior art for hospital outpatient visits.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Prediction method and system for hospital outpatient clinic treatment amount
  • Prediction method and system for hospital outpatient clinic treatment amount
  • Prediction method and system for hospital outpatient clinic treatment amount

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] An embodiment of the present invention provides a method for predicting outpatient visits in a hospital, such as figure 1 As shown, the method includes the following steps:

[0029] Step S1: Obtain historical business volume data within a preset time period of the hospital to be tested. The historical business volume data includes date, department, category, and corresponding outpatient volume.

[0030] In the embodiment of the present invention, the business volume data of the past three years are obtained from the hospital database, and according to the department (internal medicine, surgery, etc.), category (emergency, general outpatient, expert outpatient) and forecast time cycle dimension (day, week, month) ) for the number of outpatient visits, this is just an example, not limited to this.

[0031] Step S2: According to the forecast time period dimension, the historical business volume data is counted, and the missing value of the historical business volume data ...

Embodiment 2

[0077] An embodiment of the present invention provides a prediction system for outpatient visits in a hospital, such as Figure 5 As shown, the dangerous driving identification and warning system includes:

[0078] The historical business volume data acquisition module 1 is used to obtain the historical business volume data within the preset time period of the hospital to be tested, and the historical business volume data includes date, department, outpatient type and corresponding outpatient visit volume; The method described in step S1 will not be repeated here.

[0079] The missing value supplement module 2 is used to count the historical traffic data according to the forecast time period dimension, and supplement the missing values ​​of the historical traffic data; this module executes the method described in step S2 in Embodiment 1, and will not repeat it here .

[0080] The forecast model building module 3 is used to build a corresponding forecast model according to th...

Embodiment 3

[0084] An embodiment of the present invention provides a computer device, such as Image 6 As shown, it includes: at least one processor 401 , such as a CPU (Central Processing Unit, central processing unit), at least one communication interface 403 , memory 404 , and at least one communication bus 402 . Wherein, the communication bus 402 is used to realize connection and communication between these components. Wherein, the communication interface 403 may include a display screen (Display) and a keyboard (Keyboard), and the optional communication interface 403 may also include a standard wired interface and a wireless interface. The memory 404 may be a high-speed RAM memory (Ramdom Access Memory, volatile random access memory), or a non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory 404 may also be at least one storage device located away from the aforementioned processor 401 . Wherein, the processor 401 may execute the method...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a prediction method and system for hospital outpatient treatment amount, and the method comprises the steps: obtaining the historical business volume data of a to-be-tested hospital in a preset time period, wherein the historical business volume data to comprise the date, the department, the category, and the corresponding treatment amount; supplementing missing values of the historical business volume data according to the prediction time period dimension; constructing a corresponding prediction model according to the prediction time period dimension; and predicting the outpatient treatment amount of the corresponding preset time period dimension by using the prediction model. According to the method, the long-term trend, the annual trend, the monthly trend, the short-term trend, the weekly trend and the Spring Festival factors in the prediction time period are considered, different prediction models are adopted, and high prediction precision can be achieved under the condition that outpatient history emergency data only need to be provided.

Description

technical field [0001] The invention relates to the field of numerical modeling prediction, in particular to a method and system for predicting outpatient visits in a hospital. Background technique [0002] At present, most of the existing prediction algorithms related to the outpatient / emergency business volume of tertiary hospitals in the next week and month use time series or machine learning algorithms. In the academic field, most scholars use simple time series algorithms without considering factors such as holidays. The short-term prediction results are good, but they cannot adapt to special periods such as holidays, making the overall prediction results low in accuracy. In the industrial field, most companies choose to use machine learning algorithms, which require large data characteristics and data samples, but the prediction results are not significantly better than time series algorithms. Contents of the invention [0003] Therefore, the method and system for p...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G16H40/00
CPCG06Q10/04G16H40/00
Inventor 郭熙铜朱翔淼
Owner 坤智大数据科技(哈尔滨)有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com