Title: The fundamental variable of stress detection in health information system to measure health worker's current mental health

Authors: Bens Pardamean; Wikaria Gazali; Hery Harjono Muljo; Teddy Suparyanto; Bharuno Mahesworo

Addresses: Computer Science Department, BINUS Graduate Program – Master of Computer Science Program; Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, 11480, Indonesia ' Mathematics Department, School of Computer Science, Bina Nusantara University, Jakarta, 11480, Indonesia ' Accounting Department, Faculty of Economics and Communication; Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, 11480, Indonesia ' Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, 11480, Indonesia ' Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, 11480, Indonesia

Abstract: Human resource for health information system (HRHIS) is an application that collects, stores and analyses health worker-related data, which can be utilised for stress level detection. HRHIS is expected to provide information about the health worker condition. This paper is a pilot project for a larger project which aims to define the fundamental predictor variables for stress level detection in HRHIS. The purpose of this pilot project is to review the needs to utilise the HRHIS as a tool for detecting stress level. To find out the current psychological state of health workers, we used a list of questions related to their mental condition and life satisfaction. The result of this research shows that health workers experience conditions that may cause stress at work and influence their ability to concentrate, sleep quality, and decision-making ability.

Keywords: stress level; human resource; hospital information system; HRHIS.

DOI: 10.1504/IJMEI.2021.117727

International Journal of Medical Engineering and Informatics, 2021 Vol.13 No.5, pp.397 - 409

Received: 16 May 2019
Accepted: 05 Oct 2019
Published online: 23 Sep 2021 *

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