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Anaesthetist Rostering Mobile Application for Hospital

                                   Canselor Tuanku Muhriz


                                 a
                                                                                          b
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              Norizal Abdullah *, Masri Ayob , Raja Nur Natasha Raja Ahmad Anuar
            a Data Mining and Optimization Lab, Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and
                             Technology, Universiti Kebangsaan Malaysia Bangi Selangor, Malaysia
                  b Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia Bangi Selangor, Malaysia
                                *Corresponding Author Email: norizal.abdullah23@gmail.com

        Abstract

        Hospital Cancelor Tuanku Muhriz (HCTM) is a place that provides health care services to society. A lot of health-related
        cases have been referred to HCTM especially at the Surgical Department. In the surgical department, an anaesthetist is a
        specialist  doctor  responsible  for providing  anaesthesia  to  the  patients  before  or  after  the  surgery  phases.  The  hospital
        manager must ensure that the anaesthetists must always be available during the surgery phases. Rostering anaesthetists is
        challenging  because  it  needs  to  fit  with  the  anaesthetist’s  preferences  and  requests,  type  of  duty,  the  demand  of  the
        workstation and rostering planning. The process to balance the workload among anaesthetists for job satisfaction is hard
        with  the  manual  system.  Thus,  this  work  designs  and  develop  a  mobile  application  that  can  be  used  to  manage  the
        anaesthetist rostering in HCTM. The mobile application has the functions to allow anaesthetist to make a roster request,
        view roster, and can request a swap roster, accept or reject swap roster request. These functions can give more flexibility to
        anaesthetist work at their preferred time and day.

        Keywords: Anaesthetist Rostering; Hospital; Mobile Application


        1. Introduction

           All hospital should deliver excellent and fast services to patients. Due to that, hospital managers must ensure
        their rostering process can run smoothly and efficiently to avoid the absence of staff on duty and excessive
        increase in the hospital workload which can cause physical fatigue in healthcare (Güler & Geçici, 2020). In
        Hospital Canselor Tuanku Muhriz (HCTM), an anaesthetist is an important person who must be available during
        the  surgery  phase  in  the  Surgical  Department.  Currently,  the  anaesthetist  rostering  in  HCTM  uses  manual
        systems such as Google Form and Microsoft Excel to collect the requests, set up the roster planning and organize
        the roster. This manual system seems unreliable, hard to manage and lead the manual systems inefficient.
           Therefore, this work aims to design and develop a mobile application for anaesthetist rostering. The mobile
        application must be able to allow an anaesthetist to make a roster request, view roster, and can request a swap
        roster, accept or reject swap roster request etc. In the next section, we begin with the literature review and
        continue with the methodology for design and develop the anaesthetist rostering mobile application. Next, we
        show the result of our development and end it with the conclusion.

        2. Literature Review

           An anaesthetist is a physician that has many tasks. They are responsible for administering anaesthetic or
        sedation during  medical procedures (Aghsaei, 2014). Preparing a roster  for anaesthetists in a hospital is a
        complicated and time-consuming task. A Schedule often called a roster, is a list of employees and associated
        information (i.e., location, working times, responsibilities for a given period for a week, month or season)






        E- Proceedings of The 5th International Multi-Conference on Artificial Intelligence Technology (MCAIT 2021)   [32]
        Artificial Intelligence in the 4th Industrial Revolution
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