scholarly journals A systematic literature review of Human Resource Information System (HRIS) usage in the health system of South Africa

Author(s):  
Emmanuel Udekwe ◽  
Chux Gervase Iwu ◽  
Andre Charles De la Harpe ◽  
Justin Olawande Daramola

This systematic literature review is aimed at determining the predominance of existing studies conducted in HRIS as it relates to HRM, HRH, workforce management and the use of Information Systems (IS) and technology within the health sector. The main findings of the study demonstrate that HRIS benefits are the most researched at 11.8% with a) impact: implementation and IS in healthcare:10.5%; b) effectiveness: motivation, competence, workforce IS and adoption: 9.2%; c) workforce retention and migration: 7.9% d) HRIS and EHRM for decisions 5.3%, e) HRIS in HRM and digital records 2.6%; f) IT in the healthcare setting standing at 1.3%.

Author(s):  
Chux Gervase Iwu ◽  
Emmanuel Udekwe ◽  
Andre Charles De la Harpe ◽  
Justin Olawande Daramola

No organisation is ever static. For several reasons, each organisation reviews its aims and objectives from time to time. These reasons may be internally or externally driven. They could also be politically, economically and or socially motivated. Research has established that most of the attempts at bringing about change are based on the needs of employees and customers. Essentially, for the purposes of better management of employees and customers, human resource information systems (HRIS) are touted as the panacea for effective and efficient health sector service delivery. Focusing on South Africa, this paper used the descriptive literature review method to determine HRIS adoption issues within the health sector of South Africa. As an important sector in any growing economy, the health sector in our view benefits from a constant review of its mission. Within the context of South Africa, substantial emphasis is yet to be placed on health sector effectiveness. Elsewhere, in other regions and continents, research on HRIS adoption within the health sector suggests that its adoption is problematic but useful. The South African health sector is yet to fully embrace this technology and as a result is suffering from employee dissatisfaction, brain drain, and general maladministration. Investment in HRIS research is therefore instructive especially within the context of South Africa. What we have found through this review is that investing in HRIS is crucial; however, it requires thorough consideration for its funding, infrastructural support, and skilled manpower among others.


2019 ◽  
Vol 10 (2) ◽  
pp. 36 ◽  
Author(s):  
Juan A. Marin-Garcia ◽  
Pilar I. Vidal-Carreras ◽  
Julio J. Garcia Sabater ◽  
Javier Escribano-Martinez

<p>Until 2016, very few works had investigated the use of the VSM. With this research, we will discover if the situation has changed in the last 3 years. In the lean manufacturing context, different techniques that help the continuous improvement process can be used (Marin-Garcia &amp; Bonavia, 2011; Marin-Garcia &amp; Carneiro, 2010; Marin-Garcia et al., 2012; Scott, 2001). One is the Value Stream Map (VSM) (Coetzee et al., 2016; Marin-Garcia &amp; Mateo Martínez, 2013; Vidal-Carreras et al., 2015). This publication is a protocol (Marin-Garcia, 2015; Marin-Garcia, 2019) that aims to promote research transparency and replication. The concepts investigated in it are defined (VSM and health services sector), a research niche is justified, and the search and codification procedure of the systematic literature review is established. Although there are different versions of the VSM (Dinis-Carvalho et al., 2018; Hines &amp; Rich, 1997; Shou et al., 2017), we will focus on that proposed by Rother and Shook (1998). The main peculiarity of the version by Rother and Shook (1998) is that it graphically shows the flow of information and the flow of materials in the same diagram (Lucherini &amp; Rapaccini, 2017; Shou et al., 2017; Vidal-Carreras et al., 2015), which is necessary to complete a project, a product or a service (Bevilacqua et al., 2014; Lucherini &amp; Rapaccini, 2017). It is also very intuitive and easy to understand, even by non-technical people (Lucherini &amp; Rapaccini, 2017).</p><p>The VSM version that we have chosen is usually applied via standardized symbols (Lucherini &amp; Rapaccini, 2017; Vidal-Carreras et al., 2015) following a 4-stage procedure (Rother &amp; Shook, 1998; Shou et al., 2017): 1) select a product family (each VSM represents a family of sufficiently homogeneous products to represent the process); 2) draw the current VSM; 3) model the improved process by drawing the desirable future VSM; 4) implement actions to obtain a similar process to the future VSM. These four stages can be split into eight in other implementation versions (Tapping, 2007; Tapping et al., 2002; Tapping &amp; Shuker, 2003). The above procedure allows value-added (VA) and nonvalue-added (NVA) activities and initiating actions to be identified to improve the proportion of VA versus NVA (Bevilacqua et al., 2014; Shou et al., 2017; Vidal-Carreras et al., 2015). Our goal is to include any healthcare level (primary care, secondary care - medical specialists, hospitals, referral centers for rare diseases, and geriatric or disability care). We wish to explore the use in organizations of any country worldwide whose ownership is public, private or a nonprofit foundation. We will focus on patient health services. We will not include the pharmaceutical industry or the operation of governmental or nongovernmental public health structures (e.g. ministries, the Red Cross or similar). Different literature reviews on the VSM have been published. Some focus on analyzing several sectors, predominantly manufacturing. Previous research seems to indicate that the VSM allows the transparency of the process to improve by making it much more understandable for the agents involved in it (Shou et al., 2017; Vidal-Carreras et al., 2015); reduce process times (lead times) (Shou et al., 2017) and inventories (Shou et al., 2017). However, these results come mostly from repetitive manufacturing contexts (linked to the automotive or consumer electronics sectors, or their auxiliary industries), and normally from Anglo-Saxon countries. There do not seem to be enough publications in order to generalize these results to all kinds of contexts. Some publications reveal that the barriers from using such tools can overcome facilitators in public service contexts (Marin-Garcia et al., 2018b).</p><p>Very few reviews have focused specifically on the VSM and the health services sector (Nowak et al., 2017; Vidal-Carreras et al., 2015). Both conclude that there is not enough material to provide evidence for and a conclusive answer to our research questions. The systematic review that we propose in this protocol intends to answer (in a future publication) the following questions: 1) what is the VSM research gap that applies to the health services sector that currently exists?; 2) is the VSM being used in hospitals or other health centers?; 3) what VSM version is common in health sector publications?; 4) collect examples of the VSM in hospitals/heath centers; 5) how was the VSM used in the hospitals/health centers that have applied it?; 6) what problems and/or difficulties have arisen while drawing the VSM or after drawing it? Different programs will be used for the bibliometric analysis (see details in Marin-Garcia and Alfalla-Luque (2019)). First, the R Bibliometrix package (Aria &amp; Cuccurullo, 2017; Garfield, 2004; Wulff Barreiro, 2007) and also the suitability of SciMAT (Cobo et al., 2012; Santana &amp; Lopez-Cabrales, 2019) to visualize thematic maps and strategic maps will be tested.</p>


2019 ◽  
Vol 2019 ◽  
pp. 1-19
Author(s):  
Maryam Habba ◽  
Mounia Fredj ◽  
Samia Benabdellah Chaouni

Alignment is a very wide subject that can be used to support an organization’s information system. Many authors have dealt with this topic according to various dimensions, including the operational alignment dimension. Our work aims to review approaches that discuss the operational alignment by reducing the gap between business requirement, business process, and software system. Therefore, this study was conducted by a systematic literature review (SLR). In the first step, we gather 1846 papers relative to the subject. In the last step, we filter those articles and select only the most pertinent ones, which leave us with 63 studies to focus on. These primary studies were analyzed according to 9 quality assessment criteria.


2020 ◽  
Vol 7 (2) ◽  
pp. 129-134
Author(s):  
Takudzwa Fadziso

As with the other sectors, the health sector also has a huge amount of data that should be utilized for handling the different diseases. One of the increasing diseases is diabetes that can be handled if it is detected at an early stage. For this purpose, the algorithms of ML can be used. We have discussed the various algorithms of ML and the attributes that can be used to train these algorithms for detecting diabetes.


2018 ◽  
Author(s):  
Shaneil Tanna ◽  
Susana Luengo Cubillo ◽  
Rosie Bhogal ◽  
Sonika Sethi ◽  
Nishma Gokani ◽  
...  

BACKGROUND With the advent of internet-based communications, face-to-face interactions are becoming increasingly uncommon and inconvenient, including those between the doctor and the patient. Social media (SM) has been recognized as a tool that could potentially help nourish and expand relationships in healthcare; however, much remains to be explored. OBJECTIVE A systematic literature Review (SLR) was conducted to explore the use of SM in the United States (US) healthcare setting, and the characteristics of its use, including barriers and facilitators. METHODS A SLR was conducted using three peer-reviewed databases; PubMed, MEDLINE and EMBASE. EBSCOhost database was included to gain a deeper understanding of companies’ use of SM and any lessons that can be learnt and applied to the healthcare setting. RESULTS Over the last decade there has been a rapid shift in the US towards the uptake of SM technologies, with many hospitals now using platforms such as Twitter and Facebook for communication, health promotion, education and research. SM can also present a competitive and financial advantage to increase a hospital’s reputation and reduce costs. However, despite its many proven or apparent uses, SM also brings with it many challenges, such as ethical considerations, need for clear guidelines and evaluation, perceptions and attitudes of patients and staff, and the possibility of mismatched offer versus patients’ needs. CONCLUSIONS The future of SM lies first of all in developing sound practices, and in its integration into the hospitals’ overall communication strategies, as well as expanding the number of uses and stakeholders involved.


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