Existing diagnosis rate information based hospital diagnosis rate prediction method

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 ...

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 medical supplies is relatively small, so it is impossible to accurately monitor the number of visits. timely diagnosis of patients; or the low rate of visits in a certain day, month or year, while the number of registered personnel, medical personnel or medical supplies is relatively large, resulting in a waste of medical personnel and medical supplies. Therefore, if we can It is very necessary to predict the visit rate of a certain year, month or even a certain day to make reasonable arrangements and reserves for the number of medical personnel and medical supplies in a certain year, certain month or even a certain day

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