Displaying publications 1 - 20 of 55 in total

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  1. Zheyuan C, Rahman MA, Tao H, Liu Y, Pengxuan D, Yaseen ZM
    Work, 2021;68(3):825-834.
    PMID: 33612525 DOI: 10.3233/WOR-203416
    BACKGROUND: The increasing use of robotics in the work of co-workers poses some new problems in terms of occupational safety and health. In the workplace, industrial robots are being used increasingly. During operations such as repairs, unmanageable, adjustment, and set-up, robots can cause serious and fatal injuries to workers. Collaborative robotics recently plays a rising role in the manufacturing filed, warehouses, mining agriculture, and much more in modern industrial environments. This development advances with many benefits, like higher efficiency, increased productivity, and new challenges like new hazards and risks from the elimination of human and robotic barriers.

    OBJECTIVES: In this paper, the Advanced Human-Robot Collaboration Model (AHRCM) approach is to enhance the risk assessment and to make the workplace involving security robots. The robots use perception cameras and generate scene diagrams for semantic depictions of their environment. Furthermore, Artificial Intelligence (AI) and Information and Communication Technology (ICT) have utilized to develop a highly protected security robot based risk management system in the workplace.

    RESULTS: The experimental results show that the proposed AHRCM method achieves high performance in human-robot mutual adaption and reduce the risk.

    CONCLUSION: Through an experiment in the field of human subjects, demonstrated that policies based on the proposed model improved the efficiency of the human-robot team significantly compared with policies assuming complete human-robot adaptation.

    Matched MeSH terms: Risk Management
  2. Shawal FNS, Guan NY, Mohd Suadi Nata DH, How V, Tamrin SBM
    Work, 2018;60(1):153-162.
    PMID: 29733040 DOI: 10.3233/WOR-182725
    BACKGROUND: People who work with the steam boilers in palm oil mills are vulnerable to accidents, notably to explosions, whenever failures of any kind occur during their operation.

    OBJECTIVE: This cross-sectional study was conducted in palm oil mills to determine the knowledge, attitude, and perception (KAP) concerning the risk management of steam boilers among workers in palm oil mills.

    METHODS: A total of 50 workers who were working with steam boilers and/or involved in managing the operation of steam boilers with at least three years of working experience in the palm oil industry were purposively sampled. A self-administrated questionnaire consisting of four main parts - socio-demographic and occupational information, knowledge, attitude, and perception of the risk management of steam boilers was distributed. The knowledge, attitude, and perception were calculated based on a Likert-type scale.

    RESULTS: This study found that 56% of boiler workers had a good level of knowledge (mean score = 77.22±19.6), 72% had a good attitude toward risk (mean score = 83.17±5.85), and 64% had a good perception of risk (mean score = 79.50±11.22). The prevalence of accidents was 16%, and, for near misses, it was 24%. The cause of the reported accidents was largely attributed to carelessness, specifically at 80%. Apart from that, there was a positive association (χ2 = 6.56; p = 0.010) between attitude and accidents.

    CONCLUSION: This study found that the workers had good KAP levels of risk management of steam boilers in palm oil mills. However, there is a need for the employers to revise the training of workers and ensure its effectiveness in heightening the awareness of risks and accidents despite the high level of KAP.

    Matched MeSH terms: Risk Management/methods; Risk Management/standards*
  3. Dikshit A, Pradhan B, Alamri AM
    Sci Total Environ, 2021 Feb 10;755(Pt 2):142638.
    PMID: 33049536 DOI: 10.1016/j.scitotenv.2020.142638
    Drought forecasting with a long lead time is essential for early warning systems and risk management strategies. The use of machine learning algorithms has been proven to be beneficial in forecasting droughts. However, forecasting at long lead times remains a challenge due to the effects of climate change and the complexities involved in drought assessment. The rise of deep learning techniques can solve this issue, and the present work aims to use a stacked long short-term memory (LSTM) architecture to forecast a commonly used drought measure, namely, the Standard Precipitation Evaporation Index. The model was then applied to the New South Wales region of Australia, with hydrometeorological and climatic variables as predictors. The multivariate interpolated grid of the Climatic Research Unit was used to compute the index at monthly scales, with meteorological variables as predictors. The architecture was trained using data from the period of 1901-2000 and tested on data from the period of 2001-2018. The results were then forecasted at lead times ranging from 1 month to 12 months. The forecasted results were analysed in terms of drought characteristics, such as drought intensity, drought onset, spatial extent and number of drought months, to elucidate how these characteristics improve the understanding of drought forecasting. The drought intensity forecasting capability of the model used two statistical metrics, namely, the coefficient of determination (R2) and root-mean-square error. The variation in the number of drought months was examined using the threat score technique. The results of this study showed that the stacked LSTM model can forecast effectively at short-term and long-term lead times. Such findings will be essential for government agencies and can be further tested to understand the forecasting capability of the presented architecture at shorter temporal scales, which can range from days to weeks.
    Matched MeSH terms: Risk Management
  4. Hasan H, Parker A, Pollard SJT
    Sci Total Environ, 2021 Feb 10;755(Pt 1):142868.
    PMID: 33348485 DOI: 10.1016/j.scitotenv.2020.142868
    We explore the interplay between preventative risk management and regulatory style for the implementation of water safety plans in Malaysia and in England and Wales, two jurisdictions with distinct philosophies of approach. Semi-structured interviews were conducted with 32 water safety professionals in Malaysia, 23 in England and Wales, supported by 6 Focus Group Discussions (n = 53 participants). A grounded theory approach produced insights on the transition from drinking water quality surveillance to preventative risk management. Themes familiar to this type of regulatory transition emerged, including concerns about compliance policy; overseeing the risk management controls of regulatees with varied competencies and funds available to drive change; and the portfolio of interventions suited to a more facilitative regulatory style. Because the potential harm from waterborne illness is high where pathogen exposures occur, the transition to risk-informed regulation demands mature organisational cultures among water utilities and regulators, and a laser-like focus on ensuring risk management controls are delivered within water supply systems.
    Matched MeSH terms: Risk Management
  5. Wee SY, Aris AZ, Yusoff FM, Praveena SM
    Sci Total Environ, 2019 Jun 25;671:431-442.
    PMID: 30933799 DOI: 10.1016/j.scitotenv.2019.03.243
    Endocrine disrupting compounds (EDCs) are an emerging environmental concern and commonly occur as a mixture of compounds. The EDC mixture can be more toxic than any single compound. The present study analyses EDCs in surface water in the case of an urban tropical river, the Langat River, using the multiresidue analytical method of solid phase extraction and liquid chromatography-tandem mass spectrometry (SPE-LC-MS/MS). The Langat River is used as a drinking water source and is treated for Malaysian drinking water supply. A total of 14 EDCs i.e. five hormones, seven pharmaceuticals, one pesticide, and one plasticizer were detected. Caffeine was observed to be highest at 19.33 ng/L, followed by bisphenol A and diclofenac at 8.24 ng/L and 6.15 ng/L, respectively. Using a conservative risk quotient (RQ) method, EDCs were estimated for having negligible risks under acute and chronic exposure (RQ risk related to these compounds in the Langat River riverine ecosystem. However, the presence of EDCs in surface water raises concerns about potential human exposure to EDCs via dietary intake i.e. food and drinking water supply. Although the ecological risks are considered negligible, these risks should not be neglected in terms of future prioritization and risk management. Improvements in water quality monitoring and risk assessment in water source protection are required to support a multibarrier approach to managing drinking water supply systems for safe water supply. The present study proposes a risk management and monitoring framework for EDCs to support the aforementioned multibarrier approach.
    Matched MeSH terms: Risk Management/methods*
  6. Lewis K
    Med J Malaysia, 2003 Mar;58 Suppl A:134-40.
    PMID: 14556361
    The management of the clinician who generates complaints and claims on a regular basis, raises issues of professional responsibility and presents ethical challenges for the defence team, in addition to the immediate practical need for advice and representation. This short session examines some of these issues and suggests some ways that are already being used to address them.
    Matched MeSH terms: Risk Management*
  7. Choy YC, Lee CY, Inbasegaran K
    Med J Malaysia, 1999 Mar;54(1):4-10.
    PMID: 10971998
    Critical incident reporting is a useful quality improvement technique for reducing morbidity and mortality in anaesthesia. This study analyses 93 cases in Kuala Lumpur Hospital from July 1995 to January 1997. The main incidents during anaesthesia in this study were airway incidents. While human error was identified as the main factor contributing to the occurrence of adverse incidents. Critical incident monitoring plays an important role in identifying potential problems, which may lead to disaster. The findings from this report of the anaesthesia incident monitoring study continued to indicate the occurrence of similar problems seen in an earlier report. The identification of common incidents can be used to identify risk factors and minimise repetition of such incidents.
    Matched MeSH terms: Risk Management*
  8. Somboonsook B, Wakerman J, Hattch CT, Collison M, Barnes A, Kyi W, et al.
    Med J Malaysia, 1995 Sep;50(3):212-20.
    PMID: 8926897
    This study was the first assessment of a nationwide risk approach system to antenatal management introduced to Malaysia in 1989. Three rapid, record-based surveys on three different study groups were conducted to determine risk factor prevalence, accuracy of risk assignment, action after risk assignment and the relationship of risk level and place of delivery. The most frequent risk factors were short birth interval, high parity and first pregnancy. Accuracy of risk assignment was highest at the lowest levels of risk and poorest at the highest levels. Women at the lowest levels of risk were more likely to be seen by a doctor than women at highest risk. These was a trend to deliver in hospital, rather than at home, as level of risk increased; but many women at high risk still delivered at home. Recommendations are made on modifications to the system prior to future evaluation.
    Matched MeSH terms: Risk Management
  9. Elango S
    Med J Malaysia, 2003 Oct;58(4):625-31.
    PMID: 15190644
    Medical negligence suits have become an issue of concern for doctors as well as for the health service departments. The main objectives of medical malpractice law are to compensate patients who are injured by negligence and to improve the quality of medical care. The amount of money and time spent on these cases may not be an effective allocation of social resources to minimize patient safety. Though physicians generally win more malpractice suits, much time and money are spent and results in much stress to those concerned. There are certain controllable events in practice that render a physician more or less vulnerable to malpractice claims. Attempts by physicians to understand and prevent unwanted situations that can lead to litigation is important. The risk factors for medical negligence suits are discussed. The practice of good medicine will be the best form of risk management.
    Matched MeSH terms: Risk Management*
  10. Usin MF, Ramesh P, Lopez CG
    Malays J Pathol, 2004 Jun;26(1):43-8.
    PMID: 16190106
    Event reporting can provide data to study the failure points of an organization's work process. As part of the ongoing efforts to improve transfusion safety, a Medical Event Reporting System Transfusion Medicine, (MERS - TM) as designed by Kaplan et al was implemented in the Transfusion Medicine Unit of the University Malaya Medical Centre to provide a standardized means of organized data collection and analysis of transfusion errors, adverse events and near misses. An event reporting form was designed to detect, identify, classify and study the frequency and pattern of events occurring in the unit. Events detected were classified according to Eihdhoven Classification model (ECM) adopted for MERS - TM. Since our system reported all events, we called it Event Reporting System - Transfusion Medicine (ERS-TM). Data was collected and analyzed from the reporting forms for a period of five months from January 15th to June 15th 2002. The initial half of the period was a process of evaluation during which 118 events were reported, coded, analyzed and corrective measures adopted to prevent the recurrence of the same event. The latter half saw the reporting of 122 events following the adoption of corrective measures. There was a reduction in the occurrence of some events and an increase in others, which were mainly beyond the organization's control. A longer period of evaluation is necessary to identify the underlying contributory causes that can be useful to develop plans for corrective and preventive action and thereby reduce the rate of recurrence of errors through proper training and adoption of just culture.
    Matched MeSH terms: Risk Management/methods*; Risk Management/statistics & numerical data
  11. Jarrar M, Al-Bsheish M, Dardas LA, Meri A, Sobri Minai M
    Int J Health Plann Manage, 2020 Jan;35(1):104-119.
    PMID: 31271233 DOI: 10.1002/hpm.2822
    PURPOSE: In Malaysia, private healthcare sector has become a major player in delivering healthcare services alongside the government healthcare sector. However, wide disparities in health outcomes have been recorded, and adverse events in these contexts have yet to be explored. The purpose of this study was to explore associations between nurse's ethnicity and experience, hospital size, accreditation, and teaching status with adverse events in Malaysian private hospitals.

    METHODS: A cross-sectional survey was conducted in 12 private hospitals in Malaysia. A total of 652 (response rate = 61.8%) nurses participated in the study. Data were collected using self-administered questionnaire on nurses' characteristic, adverse events and events reporting, and perceived patient safety.

    RESULTS: Patient and family complaints events were the most common adverse events in Malaysian private hospitals as result of increased cost of care (3.24 ± 0.95) and verbal miscommunication (3.52 ± 0.87).

    CONCLUSION: Hospital size, accreditation status, teaching status, and nurse ethnicity had a mixed effect on patient safety, perceived adverse events, and events reporting. Policy makers can benefit that errors are related to several human and system related factors. Several system reforms and multidisciplinary efforts were recommended for optimizing health, healthcare and preventing patient harm.

    Matched MeSH terms: Risk Management/statistics & numerical data
  12. Lay US, Pradhan B, Yusoff ZBM, Abdallah AFB, Aryal J, Park HJ
    Sensors (Basel), 2019 Aug 07;19(16).
    PMID: 31394777 DOI: 10.3390/s19163451
    Cameron Highland is a popular tourist hub in the mountainous area of Peninsular Malaysia. Most communities in this area suffer frequent incidence of debris flow, especially during monsoon seasons. Despite the loss of lives and properties recorded annually from debris flow, most studies in the region concentrate on landslides and flood susceptibilities. In this study, debris-flow susceptibility prediction was carried out using two data mining techniques; Multivariate Adaptive Regression Splines (MARS) and Support Vector Regression (SVR) models. The existing inventory of debris-flow events (640 points) were selected for training 70% (448) and validation 30% (192). Twelve conditioning factors namely; elevation, plan-curvature, slope angle, total curvature, slope aspect, Stream Transport Index (STI), profile curvature, roughness index, Stream Catchment Area (SCA), Stream Power Index (SPI), Topographic Wetness Index (TWI) and Topographic Position Index (TPI) were selected from Light Detection and Ranging (LiDAR)-derived Digital Elevation Model (DEM) data. Multi-collinearity was checked using Information Factor, Cramer's V, and Gini Index to identify the relative importance of conditioning factors. The susceptibility models were produced and categorized into five classes; not-susceptible, low, moderate, high and very-high classes. Models performances were evaluated using success and prediction rates where the area under the curve (AUC) showed a higher performance of MARS (93% and 83%) over SVR (76% and 72%). The result of this study will be important in contingency hazards and risks management plans to reduce the loss of lives and properties in the area.
    Matched MeSH terms: Risk Management
  13. Wong WP, Saw PS, Jomthanachai S, Wang LS, Ong HF, Lim CP
    Sci Rep, 2023 Dec 15;13(1):22287.
    PMID: 38097696 DOI: 10.1038/s41598-023-49606-z
    One major issue in pharmaceutical supply chain management is the supply shortage, and determining the root causes of medicine shortages necessitates an in-depth investigation. The concept of risk management is proposed in this study to identify significant risk factors in the pharmaceutical supply chain. Fuzzy failure mode and effect analysis and data envelopment analysis were used to evaluate the risks of the pharmaceutical supply chain. Based on a case study on the Malaysian pharmaceutical supply chain, it reveals that the pharmacy node is the riskiest link. The unavailability of medicine due to unexpected demand, as well as the scarcity of specialty or substitute drugs, pose the most significant risk factors. These risks could be mitigated by digital technology. We propose an appropriate digital technology platform consisting of big data analytics and blockchain technologies to undertake these challenges of supply shortage. By addressing risk factors through the implementation of a digitalized supply chain, organizations can fortify their supply networks, fostering resilience and efficiency, and thereby playing a pivotal role in advancing the Pharma 4.0 era.
    Matched MeSH terms: Risk Management
  14. Rubayah Yakob, Zulkornain Yusop, Alias Radam, Noriszura Ismail
    Sains Malaysiana, 2014;43:1439-1450.
    The objective of this study was to identify the exogenous variables of risk and investment management efficiency by using a two-stage data envelopment analysis (DEA) method. The first stage involves obtaining the efficiency scores of risk and investment management via DEA that requires only the traditional inputs and outputs. In the second stage, the Tobit regression analysis is conducted in which the efficiency score obtained from the first stage is treated as a dependent variable, while the exogenous factors are considered to be independent variables. The exogenous factors consist of operating systems, organizational form, consumer preference and size. The results showed that the mutual company as well as the takaful system demonstrate better risk management performance than their stock and conventional system counterparts. In addition, size is also a significant indicator for risk management efficiency in which the larger insurer/takaful operator exhibits better risk management performance than the smaller one. However, consumer preference is found to be insignificantly correlated with the efficiency of risk management. In contrast, with risk management, organizational form, operating system and size are not indicators of the investment management efficiency, but consumer preference is significantly and positively associated with investment management efficiency.
    Matched MeSH terms: Risk Management
  15. Adeleke AQ, Bahaudin AY, Kamaruddeen AM, Bamgbade JA, Salimon MG, Khan MWA, et al.
    Saf Health Work, 2018 Mar;9(1):115-124.
    PMID: 30363069 DOI: 10.1016/j.shaw.2017.05.004
    Background: Substantial empirical research has shown conflicting results regarding the influence of organizational external factors on construction risk management, suggesting the necessity to introduce a moderator into the study. The present research confirmed whether rules and regulations matter on the relationships between organizational external factors and construction risk management.

    Methods: Based on discouragement and organizational control theory, this research examined the effects of organizational external factors and rules and regulations on construction risk management among 238 employees operating in construction companies in Abuja and Lagos, Nigeria. A personally administered questionnaire was used to acquire the data. The data were analyzed using partial least squares structural equation modeling.

    Results: A significant positive relationship between organizational external factors and construction risk management was asserted. This study also found a significant positive relationship between rules and regulations and construction risk management. As anticipated, rules and regulations were found to moderate the relationship between organizational external factors and construction risk management, with a significant positive result. Similarly, a significant interaction effect was also found between rules and regulations and organizational external factors. Implications of the research from a Nigerian point of view have also been discussed.

    Conclusion: Political, economy, and technology factors helped the construction companies to reduce the chance of risk occurrence during the construction activities. Rules and regulations also helped to lessen the rate of accidents involving construction workers as well as the duration of the projects. Similarly, the influence of the organizational external factors with rules and regulations on construction risk management has proven that most of the construction companies that implement the aforementioned factors have the chance to deliver their projects within the stipulated time, cost, and qualities, which can be used as a yardstick to measure a good project.

    Matched MeSH terms: Risk Management
  16. Bristow M, Fang L, Hipel KW
    Risk Anal, 2012 Nov;32(11):1935-55.
    PMID: 22804565 DOI: 10.1111/j.1539-6924.2012.01867.x
    The domain of risk analysis is expanded to consider strategic interactions among multiple participants in the management of extreme risk in a system of systems. These risks are fraught with complexity, ambiguity, and uncertainty, which pose challenges in how participants perceive, understand, and manage risk of extreme events. In the case of extreme events affecting a system of systems, cause-and-effect relationships among initiating events and losses may be difficult to ascertain due to interactions of multiple systems and participants (complexity). Moreover, selection of threats, hazards, and consequences on which to focus may be unclear or contentious to participants within multiple interacting systems (ambiguity). Finally, all types of risk, by definition, involve potential losses due to uncertain events (uncertainty). Therefore, risk analysis of extreme events affecting a system of systems should address complex, ambiguous, and uncertain aspects of extreme risk. To accomplish this, a system of systems engineering methodology for risk analysis is proposed as a general approach to address extreme risk in a system of systems. Our contribution is an integrative and adaptive systems methodology to analyze risk such that strategic interactions among multiple participants are considered. A practical application of the system of systems engineering methodology is demonstrated in part by a case study of a maritime infrastructure system of systems interface, namely, the Straits of Malacca and Singapore.
    Matched MeSH terms: Risk Management/organization & administration*
  17. Shin JY, Shin E, Jeong HE, Kim JH, Lee EK
    Pharmacoepidemiol Drug Saf, 2019 03;28(3):362-369.
    PMID: 30648304 DOI: 10.1002/pds.4717
    PURPOSE: Regulatory discrepancies may exist in pharmacovigilance (PV) structure, process, and outcome status worldwide. Our study's objective was to survey the current status of PV in each regulatory body in the Asia-Pacific Economic Cooperation (APEC) region.

    METHODS: A modified questionnaire was sent to the PV team heads of 21 PV agencies based in the APEC countries, between June 28 and September 12, 2017, to gather information on the structure, process, and outcome of PV status in these countries.

    RESULTS: Of the 21 APEC countries, 15 responded. We found harmonized laws and regulations for general PV and risk management systems. However, variations were found in PV structure: for example, 11 out of 15 countries had national regulatory representatives responsible for PV in pharmaceutical companies, while four did not. For PV process, discrepancies were also found in the source type of adverse drug reaction (ADR) reports and reporting of medication errors and therapeutic ineffectiveness in cumulative ADR reports. With respect to PV outcomes, among countries that performed active surveillance, the United States of America was more active, with hundreds of projects including additional pharmacoepidemiological studies etc. Among the nine countries that responded, Japan had the greatest number of product label changes followed by Taiwan, Malaysia, and Korea.

    CONCLUSION: We have identified substantial variations in the structures, processes, and outcomes of PV status among the countries of the APEC region. Therefore, efforts to reduce variations in the PV administration and regulation are warranted for harmonization of PV within the APEC region.

    Matched MeSH terms: Risk Management
  18. Alaghmand, S., Abdullah, R., Abustan, I., Vosoogh, B.
    MyJurnal
    As a crucial demand in urban areas, flood risk management has been considered by researchers and decision makers around the world. In this case, hydrological modelling that simulates rainfall-runoff process plays a significant role. This paper quantified the roles of three main parameters in river basin hydrological response, namely, rainfall event duration, rainfall event ARI (magnitude) and land-use development condition. The case study area of this research was Sungai Kayu Ara basin which is located in the western part of Kuala Lumpur, Malaysia. A total of twenty seven scenario were defined for this research, including three different rainfall event durations (60, 120 and 360 minutes), three different ARIs (20, 50 and 100 years) and in three different land-use conditions (existing, intermediate and ultimate). The results of this research indicate that rainfall event duration, rainfall event ARI (magnitude) and land-use development condition have considerable effects of the surface runoff hydrographs in terms of peak discharge and volume.
    Matched MeSH terms: Risk Management
  19. Shaadan, N., Deni, S.M., Jemain, A.A.
    MyJurnal
    Information on situation of air pollution is critically needed as input in four disciplines of research including risk management, risk evaluation, environmental epidemiology, as well as for status and trend analysis. Two normal practices were identified to evaluate daily air pollution situation; first, pollution magnitude has been treated as the common indicator, and second, the analysis was often conducted based on hourly average data. However, the information on the magnitude level alone to represent the pollution condition based on a rigid point data such as the average was seen as insufficient. Thus, to fill the gap, this study was conducted based on continuously measured data in the form of curves, which is also known as functional data, whereby pollution duration is emphasised. A statistical method based on curve ranking was used in the investigation. The application of the method at Klang, Petaling Jaya and Shah Alam air quality monitoring stations located in the Klang Valley, Malaysia, has shown that pollution duration decreases as the magnitude increases. Shah Alam has the longest pollution duration at low and medium magnitude levels. Meanwhile, all the three stations experienced quite a similar length of average pollution duration for the high magnitude level, that is, about 2.5 days. It was also shown that the occurrence of PM10 pollution at the area is significantly not random.
    Matched MeSH terms: Risk Management
  20. Tahir, M.M., Haron, N.A., Alias, A.H., Harun, A.N., Muhammad, I.B., Baba, D.L.
    MyJurnal
    The control of cost and time in construction projects is one of the most important issues in construction since the emergence of the construction industry. A successful project should meet not only quality output standards, but also time and budget objectives. The management and control of cost and time in construction is fundamental in every project. An effective cost and time management and control technique for construction projects is important in managing risk of cost overrun and delay in completion of projects. Construction projects are becoming more complex as they now involve many stakeholders from different disciplines. The emergence of Building Information Model (BIM), an alternative technology is believed to solve issues related to project cost and time control as it efficiently increases collaboration between stakeholders. The aim of this paper is to review and summarise the causes of delay and cost overrun in construction industries, which are the main causes of disputes and abandonment of projects in the industry. It was found that delays and cost overrun eat deep into the industry and leave the construction industry with a bad image for decades even with rapid advancement in technology. The review of the applications of BIM showed that most of the applications are geared towards minimising construction cost and time spent on projects. This means that the use of BIM in the management of construction projects has great impact on project cost and time.
    Matched MeSH terms: Risk Management
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