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Hospital doctor resource allocation big data system

A technology of resource allocation and big data, applied in the field of big data system, can solve the problem of waste of resources of doctors, and achieve the effect of improving resource utilization.

Inactive Publication Date: 2017-11-28
安徽云帮邦网络技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a big data system for doctor resource allocation in hospitals to solve the problem of waste of doctor resources in the prior art hospital registration system

Method used

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  • Hospital doctor resource allocation big data system

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Embodiment Construction

[0011] Such as figure 1 As shown, a big data system for doctor resource allocation in a hospital includes big data analysis software integrated in the hospital server. The big data analysis software records the identification information of each doctor in the hospital and the number of patients received by each doctor every day and Make statistics, obtain and store the maximum number of patients received by each doctor in a single day in history; when working on that day, the big data analysis software calls the registration number and registration number of each doctor recorded in the registration system in the hospital server, and communicates with each doctor The maximum number of patients received in a single day is compared. If the number of registered patients of the doctor is greater than the maximum number of patients received by the doctor in a single day, the big data analysis software defines the registrations of patients other than the maximum number of patients rec...

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Abstract

The invention discloses a hospital doctor resource allocation big data system. The system comprises big data analysis software integrated in a hospital server; the big data analysis software obtains and stores a maximum quantity of patients received by each doctor each day; during work on that day, the big data analysis software calls a registration quantity of each doctor on that day, recorded by a registration system in the hospital server and compares the registration quantity of each doctor on that day with the maximum quantity of the patients received by each doctor each day; if the registration quantity of each doctor on that day is greater than the maximum quantity of the patients received by each doctor each day, the big data analysis software defines registrations of other patients except the maximum quantity of the patients received by each doctor each day as reallocated registrations; and the registration system performs re-registration and allocates the reallocated registrations to other doctors. According to the system, while the medical quality is ensured, the resource utilization rate of doctors in a hospital can be effectively improved.

Description

technical field [0001] The invention relates to the field of big data systems, in particular to a big data system for doctor resource allocation in hospitals. Background technique [0002] At present, big data is widely used in various industries of society, including the medical field. When patients in a hospital register through the hospital registration system, the registration system can reflect the number of registered patients under each doctor. Although patients can choose doctors based on the number of registered patients, this choice is entirely based on the patient's own perception of the number of registered patients. Intuitive cognition of quantity, that is, patients will choose other doctors when they feel that the doctor has a high number of registrations. Therefore, this choice is a process of redistribution based on the patient's intuitive cognition, not a resource based on the doctor's actual reception capacity Redistribution, there is a waste of doctor res...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 不公告发明人
Owner 安徽云帮邦网络技术有限公司
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