Safety Approach Research Articles

Anatomical Schemata Revealed by the Critical View of Safety Approach: A Proposal of the Hellenic Task Force on the Typology of Safe Laparoscopic Cholecystectomy (HETALCHO)

Background and objectives: Laparoscopic cholecystectomy (LC) is the most commonly performed operation in general surgery in the Western World. Gallbladder surgery, although most of the time simple, always offers the possibility of unpleasant surprises. Despite progress, the incidence of common bile duct injury is 0.2–0.4%, causing devastating implications for the patient and the surgeon. This is mainly due to the failure to identify the normal anatomy properly. The literature review reveals a lack of structured knowledge in the surgical anatomy of cholecystectomy. The aim of this study was to develop a framework with a common anatomical language for safe laparoscopic and open cholecystectomy. Materials and Methods: The Hellenic Task Force group on the typology for Safe Laparoscopic Cholecystectomy performed a critical review of the literature on the laparoscopic anatomy of cholecystectomy. The results were compared with those of a clinical study of 279 patients undergoing LC for uncomplicated symptomatic gallstone disease. Results: Fourteen elements encountered during LC under the critical view of safety (CVS) approach were determined. The typical vascular–biliary pedicle with one cystic duct distributed laterally (or caudally) and one cystic artery medially (or cranially) lying at any point of the hepatocystic space was found in 66% of the cases studied. Anatomical schemata were formulated corresponding to the norm and four variations. Conclusions: The proposed cognitive anatomical schemata summarize simply what one can expect in terms of deviation from the norm. We believe that the synergy between the correct application of the CVS and the structured knowledge of the surgical anatomy in cholecystectomy helps the surgeon to handle non-typical structures safely and to complete the laparoscopic or open cholecystectomy without vascular–biliary injuries.

Community Engaged Research for Restorative Justice in Brooklyn: A Conversation with Two Scholar-Practitioners

Monitoring and evaluation specialist Dr. Brooke Burrows sat down with Dr. UniQue C. Starks and Mathilda Adeniji, two community leaders in Brooklyn, to discuss the ins and out of their community engaged research work in NYC. Both UniQue and Mathilda served in senior roles in the implementation of Project Restore Bed-Stuy, a pilot gang and gun violence intervention focused on using restorative justice and public safety approaches to reduce conflict and heal communities. The interview discusses the challenges and barriers to community engaged research as well as pathways for its successful implementation from the ground up to broader policy frameworks.

Advancements in Intraoperative Neurophysiological Monitoring for Spinal Surgery: Innovations, Multimodal Approaches, and Implications for Patient Safety

Intraoperative neurophysiological monitoring (IONM) has become an essential component of spinal surgery, providing real-time assessment of neural function and enhancing surgical safety. Recent advancements in IONM technologies have significantly improved the ability to detect and prevent neurological complications during spinal procedures. This article reviews the latest updates in IONM, including advancements in monitoring techniques, integration of multimodal monitoring, and improvements in data interpretation. The article also discusses the impact of these innovations on surgical outcomes and patient safety, highlighting the importance of ongoing developments in this field.

Critical view of safety approach vs. infundibular technique in laparoscopic cholecystectomy, which one is safer? A systematic review and meta-analysis.

Laparoscopic cholecystectomy (LC) remains the gold standard procedure for the management of benign gallbladder disease. Recognizing the need to mitigate complications, mainly bile duct injury(BDI), various techniques for ductal identification during LC have emerged, including the "Critical View of Safety" (CVS) and the infundibular technique (IT). In this systematic review and meta-analysis, we assess and compare the outcomes of both techniques, with a primary focus on evaluating their impact on BDIs. A comprehensive search was conducted using PubMed and Scopus databases. The search focused on the surgical technique, incidences of minor and major BDIs, operative time, conversion rate, and length of stay, among patients undergoing LC for benign gallbladder disease. Our initial search retrieved 264 studies. After screening the unique studies against our predefined inclusion/exclusion criteria, only five met our criteria and were included. Additionally, a manual search identified eight more relevant studies, bringing the total number of included studies to 13. The total number of included patients was 4,837. Approximately two-thirds underwent LC using the CVS approach (61.1%), and 66.3% were female, with a mean age of 44.4 ± 11.2 years. The CVS approach was associated with a significant reduction in overall BDIs (RR = 0.36; 95% CI 0.18-0.71) and major BDIs (RR = 0.28; 95% CI 0.13-0.63). However, there were no significant differences in terms of minor BDIs, operative time, conversion rates, or length of stay. Our study demonstrated the superiority of the CVS approach in terms of reducing the incidence of overall and major BDIs compared to IT. However, our study revealed no other significant differences between the two techniques. Further research, including multicentric randomized controlled trials, will be necessary to further evaluate the efficacy of these techniques.

Safety evaluation of the food enzyme α-amylase from the non-genetically modified Bacillus amyloliquefaciens strain AE-BAA.

The food enzyme α-amylase (4-α-d-glucan glucanohydrolase; EC 3.2.1.1) is produced with the non-genetically modified microorganism Bacillus amyloliquefaciens strain AE-BAA by Amano Enzyme Inc. The food enzyme is intended to be used in eight food manufacturing processes. Since residual amounts of food enzyme-total organic solids (TOS) are removed in two processes, dietary exposure was calculated only for the remaining six food manufacturing processes. It was estimated to be up to 0.842 mg TOS/kg body weight per day in European populations. The production strain of the food enzyme fulfils the requirements for the qualified presumption of safety (QPS) approach to safety assessment. Consequently, in the absence of other concerns, the Panel considered that toxicological studies were not needed for the safety assessment of this food enzyme. A search for the homology of the amino acid sequence of the food enzyme to known allergens was made and one match with a respiratory allergen was found. Known sources of food allergens were used in the manufacturing process, and the Panel considered that the risk of allergic reactions upon dietary exposure to this food enzyme cannot be excluded. Based on the data provided, the Panel concluded that this food enzyme does not give rise to safety concerns, under the intended conditions of use.

Assessment of the modification of the authorisation of the feed additive consisting of Saccharomyces cerevisiaeCNCM I-1077 for lambs and its extension of use to all ruminants and camelids reared for milk production/suckling/reproduction, all minor (young) ruminant species and camelids for fattening and Equidae other than horses (Lallemand SAS).

Following a request from the European Commission, EFSA was asked to deliver a scientific opinion on the safety and efficacy of a preparation of Saccharomyces cerevisiae CNCM I-1077 as a zootechnical feed additive for several animal species. The additive, existing in a not-coated and a coated form, is currently authorised for use in feed for calves, cattle for fattening, dairy cows, dairy goats and dairy sheep, lambs, all minor ruminant species for fattening and rearing, horses and camelids for fattening and rearing. This application regards the request for the extension of use in all ruminants and camelids reared for milk production/suckling/reproduction, all minor (young) ruminant species and camelids for fattening and Equidae other than horses, and the modification of the authorisation for lambs to reduce the minimum use level. The identity of the active agent as S. cerevisiae was confirmed. Based on the qualified presumption of safety approach and since no concerns are expected from other components, the additive is considered safe for the target species, consumers and the environment. The not-coated form of the additive is not irritant to skin or eyes. The additive in both formulations should be considered a skin and respiratory sensitiser and any exposure through skin and respiratory tract is considered a risk. No conclusion could be drawn on the eye irritation potential of the coated form of the additive due to the lack of data. The additive has the potential to be efficacious when used in feed for all ruminants and camelids reared for milk production/suckling/reproduction at the minimum proposed use level of 5 × 108 CFU (colony forming unit)/kg complete feed, all minor (young) ruminant species and camelids for fattening and lambs at 1 × 109 CFU/kg complete feed, and in all Equidae species other than horses at 3 × 109 CFU/kg complete feed.

Safety and efficacy of a feed additive consisting of Bacillus subtilisDSM 33862 and Lentilactobacillus buchneriDSM 12856 as a silage additive for all animal species (Lactosan GmbH & Co.KG).

Following a request from the European Commission, EFSA was asked to deliver a scientific opinion on a formulation of Bacillus subtilis DSM 33862 and Lentilactobacillus buchneri DSM 12856 when used as a technological additive to improve ensiling of fresh plant material. The additive is intended for use with fresh plant material with a dry matter (DM) range of 32%-65% at a proposed minimum concentration of 1 × 108 colony forming units (CFU)/kg fresh plant material to be used for all animal species. The bacterial species B. subtilis and L. buchneri are considered by EFSA to be suitable for the qualified presumption of safety approach to safety assessment. The identity of the strains was established, no acquired antimicrobial resistance genes of concern were detected in any of the two active agents and no evidence of toxigenic potential was found in B. subtilis DSM 33862. Therefore, the FEEDAP Panel concluded that the use of the strains as a silage additive is considered safe for all the animal species, for consumers of products from animals fed with the treated silage and for the environment. Regarding user safety, the additive contains microorganisms and therefore should be considered as a potential skin and respiratory sensitiser. The additive is not irritant to skin or eyes. Inhalation and dermal exposure is considered a risk. These conclusions would apply, in principle, to any preparations containing the active agents. The FEEDAP Panel concluded that the additive containing B. subtilis DSM 33862 and L. buchneri DSM 12856 at a minimum concentration of 1 × 108 CFU/kg fresh material has the potential to extend the aerobic stability of silage prepared from fresh plant materials with a DM range of 32%-65%.

Safety evaluation of the food enzyme α-amylase from the non-genetically modified Bacillus amyloliquefaciens strain UN-01.

The food enzyme α-amylase (4-α-d-glucan glucanohydrolase; EC 3.2.1.1) is produced with the non-genetically modified microorganism Bacillus amyloliquefaciens strain UN-01 by Nagase (Europa) GmbH. The production strain qualified for the qualified presumption of safety approach and no issues of concern arose from the production process of the food enzyme, therefore, the Panel considered that toxicological studies were unnecessary. It is intended to be used in five food manufacturing processes. Since residual amounts of total organic solids (TOS) are removed during two processes, dietary exposure was calculated only for the remaining three food manufacturing processes. It was estimated to be up to 0.434 mg TOS/kg body weight per day in European populations. A search for homology of the amino acid sequence of the food enzyme to known allergens was made and one match with a respiratory allergen was found. Known sources of food allergens were used in the food enzyme manufacturing process. The Panel considered that the risk of allergic reactions upon dietary exposure to this food enzyme cannot be excluded. Based on the data provided, the Panel concluded that this food enzyme does not give rise to safety concerns, under the intended conditions of use.

Application of systems safety principles for O&M of floating offshore wind

Abstract The offshore wind industry is growing rapidly and is also a high risk industry with unique safety challenges. As the industry grows, more research is needed to make sure it operates safely and provides a workplace in which all involved can go home free of injury. The adoption of floating wind turbines brings new hazards and increased complexity to offshore wind operations and maintenance. Floating wind operations will involve the development of new deepwater sites and require the adoption of new strategies such as floating to floating transfers and towing operations. As the complexity of offshore operations increases it is important that the understanding of the hazards involved are developed. Floating wind is a new branch of the offshore wind industry and as technologies and systems have yet to become established there is the opportunity to do things differently and embed safety improvements in the industry from the outset. This study has looked at the potential application of systems safety theories to floating wind operations and maintenance. The application of systems engineering to improve safety performance has been growing across many industries in recent years. Systems safety considers that safety is an emergent property of a complex system that is a result of many interacting factors. This study looks at how systems safety could be applied to the emerging floating wind industry to build safety into the industry at the earliest stages. This study reviewed the applications of systems safety across similar industries and the offshore wind industry. It then looks at existing hazards of floating wind that have already been identified in the literature and completed a systems theory hazard analysis of floating wind O&M activities. This involved the mapping of the safety control structure for floating wind operations and the identification of potential gaps between the safety controls and safety requirements. It then explores how systems safety processes could be applied to floating wind and makes recommendations for how these could be implemented to the emergent industry. The study found existing research of systems safety applied to the offshore wind industry is currently very limited. Its application has been successful in similar industries and there is potential for a systems safety approach to be used in the development of floating wind operations and maintenance. The systems theory hazard analysis can help identify potential systemic risks arising as a result of the interaction of multiple systems. It can be used to develop appropriate control structures to manage safety and could also be used for the identification of leading indicators to manage safety performance.

A systematic approach of efficacy and safety of herbal medicine in the treatment of Vitiligo

Vitiligo is a chronic dermatological disorder caused by the loss of melanin. Conventional therapies for vitiligo require prolonged treatments, have low efficacy, and are complicated by side effects. This study aimed to review the role of herbal medicine in the treatment of vitiligo. A comprehensive search was conducted in PubMed, Embase, and Google Scholar for studies conducted till December 2023 using related keywords linked with Boolean operators such as AND, OR, and NOT. Subsequently, a more comprehensive search was performed using the name of each specific herb. A variety of herbs were used to treat vitiligo. The most widely used herbal therapies among vitiligo populations were Khellin, Ginkgo biloba L., Picrorhiza kurroa, Polypodium leucotomos, Cucumis melo, Psoralea corylifolia L., Turmeric, Curcumin, and Nigella sativa L. were used either alone or in combination with other therapies. The majority of herbs were found to be efficacious with negligible side effects. No severe toxicities were reported. Most herbal medicines showed a positive impact on vitiligo. Therefore, healthcare providers may consider herbal medicine as an option for patient’s refractory to conventional therapies

Hyperspectral Imaging Aiding Artificial Intelligence: A Reliable Approach for Food Qualification and Safety

Hyperspectral imaging (HSI) is one of the non-destructive quality assessment methods providing both spatial and spectral information. HSI in food quality and safety can detect the presence of contaminants, adulterants, and quality attributes, such as moisture, ripeness, and microbial spoilage, in a non-destructive manner by analyzing spectral signatures of food components in a wide range of wavelengths with speed and accuracy. However, analyzing HSI data can be quite complicated and time consuming, in addition to needing some special expertise. Artificial intelligence (AI) has shown immense promise in HSI for the assessment of food quality because it is so powerful at coping with irrelevant information, extracting key features, and building calibration models. This review has shown various machine learning (ML) approaches applied to HSI for quality and safety control of foods. It covers the basic concepts of HSI, advanced preprocessing methods, and strategies for wavelength selection and machine learning methods. The application of HSI to AI increases the speed with which food safety and quality can be inspected. This happens through automation in contaminant detection, classification, and prediction of food quality attributes. So, it can enable decisions in real-time by reducing human error at food inspection. This paper outlines their benefits, challenges, and potential improvements while again assessing the validity and practical usability of HSI technologies in developing reliable calibration models for food quality and safety monitoring. The review concludes that HSI integrated with state-of-the-art AI techniques has good potential to significantly improve the assessment of food quality and safety, and that various ML algorithms have their strengths, and contexts in which they are best applied.

Neurophysiological Approach for Psychological Safety: Enhancing Mental Health in Human–Robot Collaboration in Smart Manufacturing Setups Using Neuroimaging

Human–robot collaboration (HRC) has become increasingly prevalent due to innovative advancements in the automation industry, especially in manufacturing setups. Although HRC increases productivity and efficacy, it exposes human workers to psychological stress while interfacing with collaborative robotic systems as robots may not provide visual or auditory cues. It is crucial to comprehend how HRC impacts mental stress in order to enhance occupational safety and well-being. Though academics and industrial interest in HRC is expanding, safety and mental stress problems are still not adequately studied. In particular, human coworkers’ cognitive strain during HRC has not been explored well, although being fundamental to sustaining a secure and constructive workplace environment. This study, therefore, aims to monitor the mental stress of factory workers during HRC using behavioural, physiological and subjective measures. Physiological measures, being objective and more authentic, have the potential to replace conventional measures i.e., behavioural and subjective measures, if they demonstrate a good correlation with traditional measures. Two neuroimaging modalities including electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have been used as physiological measures to track neuronal and hemodynamic activity of the brain, respectively. Here, the correlation between physiological data and behavioural and subjective measurements has been ascertained through the implementation of seven different machine learning algorithms. The results imply that the EEG and fNIRS features combined produced the best results for most of the targets. For subjective measures being the target, linear regression has outperformed all other models, whereas tree and ensemble performed the best for predicting the behavioural measures. The outcomes indicate that physiological measures have the potential to be more informative and often substitute other skewed metrics.

Nanoplatelets modified with RVG for targeted delivery of miR-375 and temozolomide to enhance gliomas therapy

Gliomas are one of the most frequent primary brain tumors and pose a serious threat to people’s lives and health. Platelets, a crucial component of blood, have been applied as drug delivery carriers for disease diagnosis and treatment. In this study, we designed engineered nanoplatelets for targeted delivery of therapeutic miR-375 and temozolomide (TMZ, a first-line glioma treatment agent) to enhance glioma therapy. Nanoplatelets were prepared through mild ultrasound, TMZ and miR-375 were co-loaded through ultrasound and electrostatic interactions, respectively, to combine chemotherapy with gene therapy against glioma. To improve the blood brain barrier (BBB) crossing efficiency and glioma targeting ability, the nanoplatelets were modified with central nervous system-specific rabies viral glycoprotein peptide (RVG) through thiol-maleimide click reaction. The RVG modified nanoplatelets co-loaded TMZ and miR-375 (NR/TMZ/miR-375) not only inherited the good stability and remarkable biocompatibility of platelets, but also promoted the cellular uptake and penetration of glioma tissues, and effectively induced cell apoptosis to enhance the therapeutic effect of drugs. In vivo studies showed that NR/TMZ/miR-375 significantly increased the circulation time of TMZ, and exhibited superior combined antitumor effects. In summary, this multifunctional ‘natural’ nanodrug delivery system provides a potent, scalable, and safety approach for platelet-based combined cancer chemotherapy and gene therapy.

Feature extraction contributing to risk-acceptance prediction by machine learning models in food benefit-risk communication in Japan

To protect public health, it is crucial to reduce the perception gap that exists between experts and the public. This can ensure appropriately informed food choices based on scientific evidence. This study aimed to build a machine learning model to predict public risk acceptance to ensure the promotion of effective food risk communication between experts and the public for bringing peace of mind to the public. We developed a machine learning model for public risk acceptance and evaluated its accuracy with risk acceptance as the output data and background information and included age, gender, health status, numeracy score, trust in public institutions, personal characteristics (self-motivation, controllability, involvement, and anxiety), favorability toward fish, risk perception, benefit perception, frequency of fish consumption, and message type as input data. We used the data from a randomized controlled study conducted in 2022 in Japan among 7200 participants. In total, 3324 of 3600 men and 3295 of 3600 women were in the top (high-benefit and low-risk) perception category. The accuracy of the machine learning model for the prediction of risk acceptance of the public was high for both men and women with F values of 0.926 (SD: 0.000) and 0.911 (SD: 0.000), respectively. This is the first study using a machine learning approach in food safety. The accuracy of the risk-acceptance estimation model was high. The findings can help public agencies pre-design communication before disseminating health information, thereby contributing to effective benefit-risk communication via a machine learning model.

Safety evaluation of the food enzyme triacylglycerol lipase from the non-genetically modified Limtongozyma cylindracea strain AE-LAYH (B).

The food enzyme, a triacylglycerol lipase (triacylglycerol acylhydrolase; EC 3.1.1.3), is produced with the non-genetically modified Limtongozyma cylindracea strain AE-LAYH (B) by Amano Enzyme Inc. It is intended to be used in six food manufacturing processes. Since residual amounts of food enzyme-total organic solids (TOS) are removed in one process, dietary exposure was calculated only for the remaining five food manufacturing processes. It was estimated to be up to 0.315 mg TOS/kg body weight (bw) per day in European populations. As the production strain qualifies for the quality presumption of safety (QPS) approach of safety assessment and no issue of concern arising from the production process of the food enzyme were identified, the Panel considered that no toxicological studies other than the assessment of allergenicity were necessary. A homology search for the amino acid sequence of the food enzyme to those of known allergens was made and one match with a honeybee venom allergen was found. The Panel considered that a risk of allergic reactions by dietary exposure, particularly in individuals allergic to honey, cannot be excluded, but is considered to be low. Based on the data provided, the QPS status of the production strain and the absence of issues of concern arising from the food enzyme manufacturing process, the Panel concluded that this food enzyme does not give rise to safety concerns under the intended conditions of use.

Safety and efficacy of a feed additive consisting of Lentilactobacillus buchneriDSM 32651 for all animal species (BioCC OÜ).

Following a request from the European Commission, EFSA was asked to deliver a scientific opinion on the safety and efficacy of Lentilactobacillus buchneri DSM 32651 when used as a technological additive to improve ensiling of fresh plant material. The additive is intended for use in all fresh material for all animal species at a proposed minimum concentration of 1 × 108 colony forming units (CFU)/kg fresh plant material. The bacterial species L. buchneri is considered by EFSA to be suitable for the qualified presumption of safety approach to safety assessment. The identity of the strain was established and no acquired antimicrobial resistance genes of concern were detected. Therefore, the EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP) concluded that the use of the strain as a silage additive is considered safe for all the animal species, for consumers of products from animals fed the treated silage and for the environment. Regarding user safety, the additive should be considered as a potential skin and respiratory sensitiser, and any exposure through skin and respiratory tract is considered a risk. The additive is not an eye irritant. The FEEDAP Panel concluded that the additive consisting of L. buchneri DSM 32651 at a minimum concentration of 1 × 108 CFU/kg fresh material may extend the aerobic stability of silage prepared from fresh plant material with a DM range of 28%-45%.

Conceptual Model for Managing Sources of Danger in the Event of an Earthquake

Safety is defined as a state in which human activities are conducted in such a way that the realization of potential dangers is excluded with a certain probability. However, there is an established axiom: all human activities inherently carry some degree of danger. The criterion for assessing this danger is risk, which provides a quantitative measure of potential threats. Experience has shown that the previous concept of safety, which sought to eliminate all risks entirely (known as the "zero risk" concept), is not practical. Today, the prevailing safety approach is the concept of justified risk—the idea that certain levels of risk are deemed acceptable, based on current economic capabilities and social conditions, for the average citizen. This study presents the development of a conceptual model—a model of communication channels—created through system analysis. This model captures the dynamics of information flows regarding the status of danger sources within a potential earthquake zone. The conceptual model is composed of functional operators: B1, B2, B3, B4, B5, B6, and B7. One key area of this research is the mathematical modeling of emergencies and the forecasting of their potential consequences. Such modeling is crucial for enhancing the effectiveness of protective measures and improving disaster response strategies.

An intelligent device with double fluorescent carbon dots based on smartphone for visual and point-of-care testing of Copper(II) in water and food samples

The excessive presence of Cu2+ could be harmful to human health. Therefore, a ratiometric fluorescence sensor based on multicolor fluorescent carbon dots (CDs) was developed for Cu2+ detection. The blue and yellow carbon dots (B-CDs/Y-CDs) were synthesized by one-step hydrothermal method. After adding Cu2+, it is captured by the amino groups of B-CDs to form complexes, resulting in a strong fluorescence quenching via photoinduced electron transfer (PET). Meanwhile, the amino groups from Y-CDs also binds with Cu2+ that inhibit the internal PET thus enhancing the fluorescence of Y-CDs. The sensor has the merits in rapid, visual, and selective with a low limit of detection (LOD) at 2.29 nM. Furthermore, an intelligent device composed of portable optical detector and smartphone is constructed, which realizes the visual point-of-care testing (POCT) of Cu2+ with a LOD of 7.51 nM. The strategy provides an accessible approach for monitoring heavy metal pollution and food safety.

Assessing occupational hazards in welding operations: A machine learning-based approach for worker safety in Indian foundries.

Quantitatively analyzing the impact of UV radiation and noise during welding operations is essential to assess the exposure, identify potential hazards, and develop targeted safety protocols to ensure worker safety and adherence to safety regulations, especially in developing countries with inadequate adherence to safety standards and resources. This study employs machine learning for predicting ultraviolet radiation and noise levels during welding, emphasizing worker safety. The focus is on the Indian foundry sector to gauge actual exposure vis-á-vis safety standards. Ultraviolet radiation and noise emitted during the welding of a ferrous alloy were collected from three foundries in Agra, India. Five machine learning (ML) algorithms were applied for data analysis and prediction of UV radiation and noise levels, and a relative performance comparison was carried out on the compiled data against safety standards. Out of all the ML algorithms applied, the Support Vector Machine regression algorithm (RMSE = 356.93) obtained the best performance on UV radiation data, and the Random Forest algorithm (RMSE = 11.4) was found to give the best results for the noise level prediction task. This work represents the first known application of machine learning techniques for predicting UV radiation and noise levels in arc welding processes. The results show the efficacy of algorithms such as SVM regression and Random Forest for the problem. Further, the datasets and ML algorithms implemented in the work will be made openly available to support further research endeavors in this and related areas.

MODERN CONCEPT OF OCCUPATIONAL SAFETY AND HEALTH MANAGEMENT WITH A RISK-BASED APPROACH

The article justifies implementing a risk-based approach (RBA) in occupational safety and health (OSH) management. It considers the limitations of traditional methods of implementing preventive measures focused on reactive measures designed to respond to immediate security challenges. It further proposes modern proactive strategies that can monitor, predict, and prevent dangerous situations in the workplace in advance. The study develops and substantiates the RBA’s main principles and underscores elements, methodologies, and their integration into existing OSH management systems. It provides arguments to support decentralising decision-making closer to the sources of hazards to allow for a faster and more effective response. It also emphasises the fragmented nature of the current occupational safety and health legislation, making it challenging to integrate RBA. Recommendations suggest improving the legislative framework to support RBA and provide employers greater flexibility in choosing risk management tools and methods. The authors recognise a systematic risk monitoring and assessment approach as a critical need. The absence of regular audits and risk assessments hinders the identification and prevention of hazards. The study proposes the introduction of modern technologies and methodologies, such as the Fine and Kinney method, the Elmeri system, and the Ishikawa diagram, to improve the risk identification and assessment processes. The article also stresses the importance of informing employees about potential risks and preventive measures, which contributes to the overall safety culture in organisations. In addition, the authors outline an algorithm for implementing RBA, which includes auditing workplaces, creating electronic registers, developing safety instructions, systematic risk assessment, documenting results, and informing stakeholders. The proposed approach aims to proactively identify and mitigate occupational risks, which helps to reduce workplace accidents and occupational diseases. The article concludes that the transition to a risk-based approach is essential for improving workplace safety, reducing occupational risks, and supporting the sustainable development of enterprises. By applying RBA, organisations can achieve higher occupational safety, reduce the costs associated with accidents and injuries, and contribute to a safer and healthier work environment. Keywords: risks, occupational safety, occupational health, production, risk-based approach.