Intelligent Hospital Appointment System Based on Health Data Bank | Zendy

Yixin Liang | Zendy; Lindu Zhao | Zendy

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Intelligent Hospital Appointment System Based on Health Data Bank

Author(s) -

Yixin Liang,

Lindu Zhao

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.09.360

Subject(s) - computer science , matching (statistics) , constraint (computer aided design) , preference , stability (learning theory) , operations research , machine learning , medicine , economics , mechanical engineering , pathology , engineering , microeconomics

With the popularization of electronic health data, it is possible to realize intelligent hospital appointment system. Compared with traditional hospital appointment system, the new appointment system based on Health Data Bank (HDB) can realize the optimal ‘Doctor-Patient’ matching under the constraint of medical resources, by combining the matching degree between them. Considering the preference of doctors and patients, this paper established a matching framework based on multi-objective programming and prospect theory, and then verifies the effectiveness and stability of the system by compared with the traditional First-Come-First-Served (FCFS) appointment mechanism.

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