Page 40 - The-5th-MCAIT2021-eProceeding
P. 40

Anaesthetist Rostering Web Application for Hospital Canselor
                                          Tuanku Muhriz


                                         a
                                                                                  b
                                                         a
                       Norizal Abdullah *, Masri Ayob , Nurul Camelia Murad
            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
                                        * Email: norizal.abdullah23@gmail.com


        Abstract
        Hospital Canselor Tuanku Muhriz (HCTM) is one of the hospitals that provide medical, surgical treatment and nursing care
        for patients. An anaesthetist is a specialist doctor that is responsible for providing anaesthesia to patients which are mainly
        used in the surgical department.  The hospital's administration must ensure that an anaesthetist is available to treat the
        patients. Making a roster for anaesthetists is difficult because it is tied to their location, work shift, and workstation when
        using a manual method. This project aims to create a web application that can be used to control and manage anaesthetist
        scheduling in real-time. PHP is the programming language, MySQL is the database, and Laravel is the web application
        platform for this method.

        Keywords: Anaesthetist Rostering; Hospital; Web Application


        1. Introduction

           Currently, the anaesthetist rostering in Hospital Canselor Tuanku Muhriz (HCTM) uses a manual system
        using Google Form, Microsoft Excel and Microsoft Word to collect the requests and organize the roster. This
        manual method appears to be ineffective, difficult to maintain, and inefficient. Therefore, this work proposes
        the design and development of a web application for an anaesthetist rostering at HCTM. The purpose of this
        system is to help the roster maker to arrange the roster for anaesthetists.
            The web application must be able to manage the roster planning regarding the workstation demand for the
        anaesthetist and the request for every anaesthetist. In the next section, we begin with the literature review and
        the methodology for an anaesthetist rostering web application. Next, we present the result of the development
        and end it with the conclusion.

        2. Literature Review

           Pressure, nausea, vomiting, and ill may occur after surgery, as well as stress-induced catabolism, decreased
        pulmonary function and increased cardiac demands..These issues can lead to complications, hospitalization,
        postoperative exhaustion, and a longer recovery time. By providing minimally invasive anaesthesia and pain
        relief, as well as working with surgeons, surgical nurses, and physiotherapists to minimize risk and pain, the
        anaesthetist plays an important role in promoting early postoperative recovery (Kehlet & Dahl, 2003). In the
        last decade, the reach of anaesthetists' work in hospital practice has broadened. Anaesthetists are experts in
        emergency medicine, intensive care, and the treatment of acute and chronic pain. Some anaesthetists may have
        testing, teaching, or administrative responsibilities (Kinzl, Knotzer, Traweger, Lederer, Heidegger, & Benzer,
        2005).
             The assigning of tasks to employees through a schedule is known as duty scheduling. It is the method of
        analysing an organization's workload, the time available to execute the workload, and the task allocation based
        on the available time (Yange, Onyekwere, Okeke, & Applications, 2020). Staff rostering, or the preparation of






        E- Proceedings of The 5th International Multi-Conference on Artificial Intelligence Technology (MCAIT 2021)   [28]
        Artificial Intelligence in the 4th Industrial Revolution
   35   36   37   38   39   40   41   42   43   44   45