Existing diagnosis rate information based hospital diagnosis rate prediction method

A prediction method and a technology of visit rate, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the waste of medical personnel and medical supplies, low visit rate, large number of registered personnel, medical personnel or medical supplies, etc. problems, to achieve the effect of rational use and coordination of work arrangements

Inactive Publication Date: 2017-11-21
强岳昭
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The outpatient department of the hospital is the place with the largest number of patients, and the number of outpatient visits is different every year, every month, or even every day. At present, the number of registered personnel and medical staff receiving consultations in the hospital is mostly fixed, which cannot make the registered personnel and medical personnel Or the number of medical supplies and the number of patients are well matched. It often happens that the rate of visits in a certain day, month or year is relatively high, while the number of registered personnel, medical personnel or medi...

Method used

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  • Existing diagnosis rate information based hospital diagnosis rate prediction method
  • Existing diagnosis rate information based hospital diagnosis rate prediction method
  • Existing diagnosis rate information based hospital diagnosis rate prediction method

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Embodiment 1

[0037] The hospital outpatient rate prediction method based on the existing outpatient rate information of this embodiment is used to predict the outpatient rate in a certain month. The First Affiliated Hospital of Harbin Medical University (hereinafter referred to as the First Hospital of Harbin Medical University) is taken as an example below to carry out this embodiment. Detailed description:

[0038] This embodiment includes the following steps:

[0039] Step a. Statistics of the monthly visit rate of Harbin Medical University from January to June 2016, the monthly visit rate is shown in Table 1

[0040] Table 1 Detailed list of visit rate from January to June 2016

[0041]

[0042] According to the data in Table 1, an array of the month and the number of patients is established;

[0043] Step b. According to the monthly outpatient rate in the first half of the year and the corresponding month, determine the outpatient rate prediction formula:

[0044] y=a 1 x 2 +a...

Embodiment 2

[0068] The hospital outpatient rate prediction method based on the existing outpatient rate information of this embodiment is used to predict the outpatient rate on a certain day,

[0069] It includes the following steps:

[0070] Step a, count the daily visit rate of the hospital in the first half of the year, and create an array of dates and patient numbers;

[0071] Step b. According to the daily outpatient rate in the first half of the year and the corresponding date, determine the outpatient rate prediction formula:

[0072] y=a 1 x+a 2

[0073] In the formula, y is the visit rate of the day, x is the date, and a 1 、a 2 is the coefficient;

[0074] Taking date x and visit rate y as known quantities, through fitting, calculate a 1 and a 2 ;

[0075] Step c, substituting the date to be predicted in the second half of the year into the outpatient rate prediction formula to obtain the outpatient rate on that date;

[0076] with date x, a 1 and a 2 For a known quan...

Embodiment 3

[0079] The hospital outpatient rate prediction method based on the existing outpatient rate information of the present embodiment is used to predict the outpatient rate in a certain year, comprising the following steps:

[0080] Step a, count the visit rate of the hospital in the first five years, and establish an array of year and number of patients;

[0081] Step b. According to the annual outpatient rate and the corresponding year, determine the outpatient rate prediction formula:

[0082] y=a 1 x 3 +a 2 x 2 +a 3 x+a 4

[0083] In the formula, y is the outpatient rate of the year, x is the year, and a 1 、a 2 、a 3 and a 4 is the coefficient;

[0084] Taking year x and visit rate y as known quantities, through fitting, calculate a 1 、a 2 、a 3 and a 4 ;

[0085] Step c, substituting the year to be predicted into the outpatient rate prediction formula to obtain the outpatient rate in that year;

[0086] In year x, a 1 、a 2 、a 3 and a 4 For a known quantity,...

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Abstract

A kind of hospital outpatient rate prediction method based on existing outpatient rate information, its technical gist is, comprise the following steps: a, the monthly outpatient rate in the first half of the year of statistics hospital, or daily outpatient rate, or the outpatient rate in the first five years , establish the month, date and year respectively and the number of patients respectively; b, according to the monthly visit rate in the first half of the year and the corresponding month, the daily visit rate and the corresponding date, the annual visit rate and the corresponding year are determined respectively The outpatient rate prediction formula; c, the month to be predicted in the second half of the year, or the date to be predicted, or the year to be predicted are substituted into the outpatient rate forecast formula to obtain the outpatient rate in the month, the date or the year, and the medical personnel and medical staff are made according to the outpatient rate. Materials are allocated reasonably to ensure timely diagnosis of patients.

Description

Technical field: [0001] The invention relates to the field of electronic engineering information, in particular to a method for predicting hospital outpatient rates based on existing outpatient rate information. Background technique: [0002] The outpatient department of the hospital is the place with the largest number of patients, and the number of outpatient visits is different every year, every month, or even every day. At present, the number of registered personnel and medical staff receiving consultations in the hospital is mostly fixed, which cannot make the registered personnel and medical personnel Or the number of medical supplies and the number of patients are well matched. It often happens that the rate of visits in a certain day, month or year is relatively high, while the number of registered personnel, medical personnel or medical supplies is relatively small, so it is impossible to accurately monitor the number of visits. timely diagnosis of patients; or the ...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 强岳昭
Owner 强岳昭
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