Method for processing clinical auxiliary examination data

A technology of auxiliary inspection and data, applied in the field of health informatics, can solve problems such as waste of doctors' time, lack of good solutions, and occupation of clinicians' time, so as to reduce waiting time, alleviate doctor-patient conflicts, and greatly promote value Effect

Inactive Publication Date: 2010-06-30
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in clinical practice, simply sorting out and classifying data such as past test sheets often takes up a lot of time for clinicians, which is a waste of time for doctors
[0003] In addition to countries in Europe such as Finland adopting a nationally unified laboratory testing system, which can avoid the above problems by uniformly calling data at each hospital terminal, there is currently no good solution

Method used

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  • Method for processing clinical auxiliary examination data
  • Method for processing clinical auxiliary examination data
  • Method for processing clinical auxiliary examination data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0016] Embodiment 1 A method for processing clinical auxiliary examination data

[0017] see figure 1 , 2 :

[0018] (1) Patient (P) terminal conversion system: perform preprocessing such as flattening of clinical auxiliary examination data, identification of effective information areas, orientation correction, etc., and convert patient data into high-fidelity image format, and transmit it to the data center for waiting Subsequent processing;

[0019] (2) Data extraction center: intelligently process, mine and integrate image information uploaded by P terminals. With OCR technology as the core, it recognizes the text, numerical value and picture in the image containing the patient's examination data, and cooperates with the knowledge base system (see attached image 3 ) to intelligently match the corresponding entries, extract the auxiliary inspection information and import it into the database, and deliver it to the data rearrangement system for processing;

[0020] (3) ...

Embodiment 2

[0023] Embodiment 2 Processing of a blood routine data (numerical type)

[0024] 1. The patient scans the blood routine test results on the patient side and clicks to send at the same time

[0025] ●Patients put their blood routine test sheets on the scanner when they are waiting for a doctor, and the scanner will automatically identify them. After the scan is completed, the scanner will emit a "beep" sound and the patient can click the send button to complete the scan.

[0026] 2. The data center identifies, corrects and classifies the accepted blood routine test sheets according to the blood routine content in the knowledge base

[0027] ●The data center performs character matching and recognition according to the uploaded pictures, and each item matches the noun item in the database. The main identification items in blood routine are: white blood cell count, red blood cell count, neutrophils (%), lymphocytes (%), platelet count, blood type, and hemoglobin.

[0028] 3. Ext...

Embodiment 3

[0032] Example 3 Collection of Abdominal Ultrasonic Data (Picture Type)

[0033] 1. The patient scans the abdominal B-ultrasound checklist on the patient side, and clicks to send at the same time

[0034] ●Patients put their own abdominal B-ultrasound checklist on the scanner while waiting for the doctor, and the scanner will automatically recognize it. After the scan is completed, the scanner will make a beep and the patient can click the send button to complete the scan.

[0035] 2. According to the abdominal B-ultrasound examination in the knowledge base, the data center will identify, correct and classify the accepted abdominal B-ultrasound examination

[0036] ●The data center performs character matching and recognition according to the uploaded pictures, and each item matches the noun item in the database. The main identification items in abdominal B-ultrasound examination are divided into two types, character type and picture type. Among them, the character type is the...

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Abstract

The invention provides a method for processing clinical auxiliary examination data, which comprises the following steps: firstly, the own related data are scanned and collected through a patient terminal in case of patient waiting, the scanned and collected pictures are automatically transmitted to a data processing centre which processes related data information in the pictures and transmits the information to a doctor terminal, and the doctor can see the related information of the patient in visiting. The method can effectively convert the paper auxiliary examination data into the simple and easy-to-use reference data in the diagnosis and treatment of the medical staff, can be butt jointed with a local area network information system of a local hospital, is convenient to know and control the complete illness state of the patient, and has huge auxiliary functions for patient treatment and follow-up management. The method can reduce the waiting time of the patient, improves the visiting efficiency and medical treatment quality, is applicable to hospitals at all levels and has low using cost, convenient operation, high participation, convenience and practicability, wide earning range, economy and high efficiency and applicability.

Description

technical field [0001] The invention belongs to the field of health informatics and relates to a method for constructing an automatic and intelligent collection tool for outpatient auxiliary examination data, in particular to a method for collecting, identifying and displaying paper-based clinical auxiliary examination data in outpatient practice. Background technique [0002] With the development and improvement of medical related technologies, auxiliary clinical examinations are playing an increasingly important role in the diagnosis and treatment of diseases for medical workers. Clinical diagnosis is a prerequisite for the treatment of diseases. Only through correct diagnosis can symptomatic treatment be implemented. Auxiliary examination can provide strong technical support and guarantee for medical workers' clinical diagnosis work. Hospitals with fast digitization process can realize the integration of auxiliary inspection system, electronic medical records and outpatie...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 谢天胜吴南屏谢辉生孟庆
Owner ZHEJIANG UNIV
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