Diurnal chemotherapy center appointment treatment method and system

Diurnal chemotherapy center appointment treatment method and system

The invention relates to the technical field of data processing, and discloses a treatment appointment method and system for a daytime chemotherapy center, which are used for improving the treatment appointment efficiency of the daytime chemotherapy center. The method comprises the steps of collecti...

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Bibliographische Detailangaben
Hauptverfasser: LI TUORUI, HONG LIXIA, MA SHUANG, CHEN SILING, LI YUFENG, ZHAO XIAOHUI
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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 the technical field of data processing, and discloses a treatment appointment method and system for a daytime chemotherapy center, which are used for improving the treatment appointment efficiency of the daytime chemotherapy center. The method comprises the steps of collecting a patient reservation request, and performing request scheduling analysis on the patient reservation request to obtain a reservation number and a doctor scheduling table; matching a target patient label, and extracting historical patient medical data through the target patient label; extracting current diagnosis and treatment information corresponding to the patient reservation request, and matching a target medical project based on historical patient medical data and the current diagnosis and treatment information; performing patient behavior mode prediction on the historical patient medical data to obtain a predicted behavior mode, and generating a reminding strategy; performing project node segmentation on th