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Smart hospital intelligent emergency treatment system based on big data and core algorithm

A core algorithm and big data technology, applied in patient-specific data, medical automated diagnosis, computer-aided medical procedures, etc., can solve the inconvenience of patients asking doctors anytime and anywhere, unable to quickly understand both patients and patients, and easily missing the best treatment time Problems such as faults can be solved to prolong the network life cycle, reduce maintenance costs, and improve the efficiency of emergency rescue

Pending Publication Date: 2022-01-18
广东德澳智慧医疗科技有限公司
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AI Technical Summary

Problems solved by technology

[0002] Hospital outpatient work is an important part of the medical system and is the first line of treatment for patients. In view of the urgency of patients, it is required that the management and layout of outpatient and emergency business processes be optimized, restructured and reengineered to be very reasonable, so as to maximize the emergency services. Patients provide the best and fastest service to ensure the safety of patients' lives. However, the current hospital emergency system does not collect patient information of big data, resulting in the formation of "information islands", which is not conducive to directly based on the patient's previous electronic information. Allocating appropriate doctors from medical records increases the time for preliminary examinations, and it is easy to miss the best time for treatment. Moreover, the current hospital emergency system cannot quickly understand both patients and patients, and it is inconvenient for patients to ask doctors anytime and anywhere. In view of this, we propose based on Intelligent hospital emergency system based on big data and core algorithm

Method used

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  • Smart hospital intelligent emergency treatment system based on big data and core algorithm
  • Smart hospital intelligent emergency treatment system based on big data and core algorithm
  • Smart hospital intelligent emergency treatment system based on big data and core algorithm

Examples

Experimental program
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Effect test

Embodiment 1

[0076] see Figure 1-Figure 4 As shown, the present embodiment provides a smart hospital intelligent emergency system based on big data and core algorithms, including a data integration unit 100, an electronic medical record storage unit 200, a doctor-patient allocation unit 300, a deployment consultation unit 400 and a patient tracking unit 500;

[0077] The data integration unit 100 is used to logically integrate the data in several scattered patient condition data sources in the big data into a unified data set;

[0078] The electronic medical record storage unit 200 is used to store the patient's medical treatment situation data at the client end, and enters the data information in electronic form;

[0079] The electronic medical record storage unit 200 adopts the following steps to realize:

[0080] When receiving the electronic medical record storage request, determine the target digital certificate indicated by the user identification carried in the electronic medical ...

Embodiment 2

[0142] The difference from Embodiment 1 is that the location positioning module 510 adopts the RSSI positioning algorithm, and its steps include:

[0143] Get the dynamic path decay index

[0144] In the j-th gait cycle, after receiving the positioning request of the pedestrian mobile node, the beacon node n1 communicates with the nearest beacon nodes n2 and n3 respectively, and records the RSSI information between n1 and n2, n3 and distance information d n1n2 、d n1n3 ,pass

[0145]

[0146] calculate

[0147] Decay exponent via dynamic path Calculate the position information of the node to be located (x βj ,y βj ).

[0148] Replace the distance and RSSI value between beacon node 1 and beacon node 3 with the distance and RSSI value between beacon node 1 and the node to be located in the jth gait cycle, and then transform according to the logarithmic property to obtain the formula :

[0149]

[0150] In the formula: d n1n2 Respectively represent the distan...

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Abstract

The invention relates to the technical field of smart hospitals, in particular to a smart hospital intelligent emergency treatment system based on big data and a core algorithm. The system comprises a data integration unit, an electronic medical record storage unit, a doctor-patient distribution unit, an allocation doctor-seeing unit and a patient tracking unit, and the data integration unit integrates data in big data into a unified data set and stores the data set in the electronic medical record storage unit. The doctor-patient distribution unit queries and analyzes the data stored in the electronic medical record storage unit, distributes doctors, transmits the data to the allocation doctor-seeing unit to record the treatment data of the doctors and the patients, and transmits the data to the patient tracking unit for subsequent tracking treatment according to the condition information of the allocation doctor-seeing unit; according to the invention, the effective information resources of the patients dispersed in the information islands are gathered together, so that centralized management is facilitated, the conditions of the patients can be preliminarily analyzed conveniently and quickly during emergency treatment, the emergency treatment efficiency is improved, and doctors and the patients can communicate online anytime and anywhere.

Description

technical field [0001] The present invention relates to the technical field of smart hospitals, in particular to an intelligent emergency system for smart hospitals based on big data and core algorithms. Background technique [0002] Hospital outpatient work is an important part of the medical system and is the first line of treatment for patients. In view of the urgency of patients, it is required that the management and layout of outpatient and emergency business processes be optimized, restructured and reengineered to be very reasonable, so as to maximize the emergency services. Patients provide the best and fastest service to ensure the safety of patients' lives. However, the current hospital emergency system does not collect patient information of big data, resulting in the formation of "information islands", which is not conducive to directly based on the patient's previous electronic information. Allocating appropriate doctors from medical records increases the time f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H10/60G16H50/20
CPCG16H10/60G16H50/20
Inventor 王洪平
Owner 广东德澳智慧医疗科技有限公司
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