CT machine self-service detection method, device and equipment and medium

The invention relates to a CT machine self-service detection method and device, equipment and a medium, and the method comprises the steps: obtaining the appointment registration information of a patient, generating and pushing the corresponding appointment result information, obtaining the identity...

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Bibliographische Detailangaben
Hauptverfasser:	QIU HONGFA, ZHENG ZUCHAO, WANG ANSHAN, LAN BIN, TAN HAILONG, ZHONG FUSHENG, QIU YONGXUAN, ZHANG FALIN
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES DIAGNOSIS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The invention relates to a CT machine self-service detection method and device, equipment and a medium, and the method comprises the steps: obtaining the appointment registration information of a patient, generating and pushing the corresponding appointment result information, obtaining the identity verification information of the patient, judging whether the identity verification information of the patient is matched with the corresponding appointment result information, and if yes, executing the step 1; if so, matching a corresponding detection sample according to the patient appointment registration information; according to the detection sample, corresponding prompt information is generated and pushed, CT scanning imaging information is obtained, and corresponding preliminary diagnosis information is generated based on the CT scanning imaging information and the intelligent diagnosis algorithm model; the patient can make an appointment and register autonomously, personalized detection time and position ar