Safety-related Information Research Articles

Comparative Analysis of Routine Clinical Debriefings and Incident Reports: Insights for Patient Safety and Teamwork Enhancement.

Routine Clinical Debriefings (RCDs) have been shown to improve communication, team reflexivity, and safety in clinical settings. When combined with Incident Reports (IRs), RCDs offer a potential tool for enhancing quality improvement frameworks. This study aimed to identify and compare healthcare safety-related information captured through RCDs and IRs in a Belgian emergency department operating across two distinct facilities. This study employed a quasi-mixed-method design with a monostrand conversion approach. Information was collected from 90 RCDs and 263 IRs. Data were analyzed using two frameworks: the World Health Organization's (WHO) Incident Report Classification Grid and the Debriefing and Organizational Lessons Learned (DOLL) Grid. : The findings revealed significant differences in the types of information captured by RCDs and IRs. RCDs predominantly highlighted teamwork, internal organization, and procedural issues, while IRs focused more on care processes, patient concerns, and patient flow. These complementary insights demonstrate the value of integrating RCDs and IRs to create a comprehensive understanding of patient and clinician safety. This study highlights the complementary nature of RCDs and IRs in addressing healthcare safety. RCDs foster team reflexivity and promote open discussions about systemic challenges, directly improving team cohesion, resilience, and learning. Combining RCDs and IRs provides actionable insights for enhancing safety and driving organizational improvements.

Perception of patient safety culture in a high-complexity hospital and improvement actions

The culture of patient safety is reflected in the behavior of individuals within a healthcare organization, based on knowledge, beliefs, and values aimed at minimizing the harm that patients might suffer. Assessing the perception of safety culture helps in developing and implementing improvement actions. A descriptive study conducted in two phases. A patient safety culture questionnaire measuring three dimensions of the safety culture was administered, and improvement actions were developed based on the results. 300 responses were obtained, with a response rate of 10.2%. 70% were women, 40% were physicians, and 38% were nurses. 37% reported having worked at the hospital for more than 20years. The management support for patient safety dimension received 33% (CI: 29.5-35.7) of positive responses and 27% (CI: 24.3-30.2) of negative responses. The patient safety perception dimension received 67% (CI: 63.8-70.01) of positive responses and 20% (CI: 17.4-22.8) of negative responses. The supervisor/department head support for patient safety dimension received 61% (CI: 57.4-63.9) of positive responses and 19% (CI: 16.3-21.5) of negative responses. After presenting the results to the management team, improvement actions were proposed, which led to greater commitment from the management team to patient safety, increased presence during patient safety rounds, and greater visibility of patient safety-related information available on the intranet. A low perception of management support was detected, allowing for improvements in this dimension.

Digital transformation for safer circular lithium-ion battery supply chains: a blockchain ecosystem-data perspective

Lithium-ion battery (LIB) circular supply chains (CSCs) present unique safety challenges among operation processes. Blockchain technology can be a promising solution for addressing these challenges, by enabling effective tracking and verification of safety-related information throughout the supply chain. However, how blockchain can mitigate safety issues from a supply chain perspective is poorly understood. This study proposes a theory-supported framework through intervention-based research (IBR) to provide guidance for LIB CSC safety management. The conceptual framework and theoretical propositions set the foundation for research on a comprehensive blockchain ecosystem specifically designed for CSC safety management. The framework includes the design of a blockchain architecture with capabilities tailored to address safety concerns, the involvement of multiple stakeholders, and the development of a safety measurement matrix. This study suggests research and practical directions which lay the groundwork for leveraging blockchain technology to improve safety management in LIB CSC. This research contributes to sustainable supply chains by proposing a conceptual framework for mitigating safety concerns in LIB CSC, paving the way for effective blockchain implementation. In addition, this study contributes to advancing the theoretical design understanding and application of blockchain technology in CSC safety management.

Examining the role of the parent-caseworker relationship in child maltreatment decision-making

ABSTRACT Child welfare (CW) professionals are charged with investigating reports of alleged child maltreatment and determining whether and what type of maltreatment has occurred. Multiple factors contribute to the difficulty of making maltreatment-related decisions. The Decision-Making Ecology (DME) as developed to capture the various factors – beyond child safety-related information – that influence CW decision-making, ranging from family-to community-level factors. This study examined how the relationship between CW-involved parents and child protective caseworkers affects maltreatment-related decision-making. We propose that this relationship independently influences CW decision-making processes and should be included in the DME framework. Finally, we make recommendations to CW agencies that would improve maltreatment decision-making processes.

Impact of construction workers informal safety communication (CWISC) on safety performance on construction sites

PurposeAn understanding of the impact of construction workers informal safety communication (CWISC), a form of parallel safety communication between workers, on safety performance among construction workers is crucial in order to develop effective strategies for improving safety performance in the construction industry. However, research remains scant on the impact of CWISC on safety performance. This study empirically aims to test the relationship between these important constructs.Design/methodology/approachStatistical analysis was used to examine the relationship in a hypothetical model with two latent variables; the exogenous variables represented by two groups of informal safety communication: friends and crew members and the endogenous variables represented by two groups of Safety performance metrics: safety compliance and safety participation, was tested.FindingsThe emergent findings revealed that there is a significant relationship between informal safety communication among crew members and safety compliance, and also between informal safety communication among friends on construction sites and safety participation. These findings emphasize the importance of fostering effective safety communication and collaboration within construction crews, as well as recognizing the influence friendships on safety performance. Stakeholders can leverage on these findings to implement policies to improve safety performance.Originality/valueThe study presents insightful practical knowledge on how CWISC impacts safety performance on construction sites. Practical recommendations for organizations are also proposed, e.g., development of team-building activities, platforms for sharing safety-related information and experiences, mentorship programs and initiatives that encourage social interaction among workers.

The Uptake of Pneumococcal and Seasonal Influenza Vaccinations Based on Perceptions and Attitudes Toward the COVID-19 Vaccine Among Patients With Diabetes.

Objective In this study, we aimed to assess the rates of pneumococcal and seasonal influenza vaccinations among elderly and nonelderly diabetes patients andexamine their perceptions and attitudes toward the coronavirus disease 2019 (COVID-19) vaccine. Methods A single-center study was conducted among patients with diabetes, employing a structured survey encompassing sociodemographic data, vaccination records, and the COVID-19 vaccine perception and attitude scale. Results Among the 280 diabetes patients in our study, the vaccination rates for COVID-19, seasonal influenza, and pneumococcal vaccines were 96.1%, 16.8%, and 17.5%, respectively. A higher cumulative dosage of the COVID-19 vaccine was associated with older age (r = 0.463; p<0.001), increased safety score (r = 0.479; p<0.001), and lower conspiracy theory score (r = -0.336; p<0.001). Participants who had received COVID-19 and influenza vaccines were observed to have significantly higher safety scores related to COVID-19 vaccines (p<0.001; d = 2.381and p = 0.008; d = 0.525, respectively).Notably, vaccination rates for influenza and pneumococcus were significantly different between nonelderly and elderly patients (8.7% vs. 29.6%; p<0.001 and 13.4% vs. 24.1%; p = 0.022). Elderly patients with diabetes were 3.3 times more likely to receive the influenza vaccine than nonelderly participants [odds ratio (OR) = 3.319; 95% confidence interval (CI) = 1.592 - 6.920; p = 0.001] and had a higher safety score related to COVID-19 vaccines (OR= 1.076; 95% CI = 1.011 - 1.146; p = 0.021). Conclusions Both influenza and pneumococcal vaccination rates were below the desired targets in this study. The vaccination rates among the nonelderly diabetes population suggest that this group may be more likely to neglect to receive vaccination compared to the elderly diabetes population. The association between vaccination rates and post-pandemic safety perceptions highlights the critical need to implement public health strategies specifically designed to address and improve safety-related information dissemination.

ANALYSIS OF NAVTEX MESSAGES PUBLISHED FOR THE MEDITERRANEAN REGION IN TERMS OF SAFE NAVIGATION OF SHIPS

Navigational Telex (NAVTEX) messages have a significant impact on the navigational safety of ships. NAVTEX plays an important role in decreasing the chances of near-misses, groundings, and collisions in the sea by disseminating safety-related information. In this study, it was aimed to present that navigational risk trend in a region could be revealed by analyzing NAVTEX messages. The analysis of NAVTEX messages as a data set will constitute a good data source for ship managers, researchers and seafarers who are navigating on the seas. Since there is no current research on NAVTEX messages in terms of navigational safety focused on Mediterranean Sea in the literature, this study aimed to fill this gap. The NAVTEX messages that pertain to the Mediterranean region were examined in the notice to mariners bulletin published by the Turkish Naval Forces Office of Navigation, Hydrography and Oceanography between 2019 and 2022. The examination was limited to messages broadcast from Antalya station. The study employed the document analysis method. The distribution of the number of messages by year, the annual distribution of messages by topic, and the annual distribution of messages by type were determined as the main research questions. It has been observed that studying the trends of NAVTEX messages can provide significant data about the region. It has been evaluated that this approach will contribute to the decision-making mechanisms of ship managers, particularly seafarers, and can serve as a source of information for rule makers. This study was produced by developing the undergraduate thesis titled "Review of NAVTEX Messages for the Mediterranean Sea Published in Notice to Mariners", which was completed successfully in June 2023.

Just Culture Maturity Assessment Tool and Its Application in Medium-Sized Food Company in Poland

Theoretical background: Ensuring food safety requires the development of an appropriate food safety culture, including its important subculture – just culture (JC). JC is a fair, proportional, and transparent way in which individuals are held accountable for errors. JC in the food sector is an element of food safety culture and is one in which all employees within a food company are encouraged to provide and feel comfortable providing food safety-related information. It is an atmosphere of trust in which food handlers are convinced they will be treated fairly based on their actions rather than the outcome of those actions, in the case of positive, as well as negative food safety. No approach for the food sector for measuring this phenomenon is seen in the literature. Purpose of the article: The article aims to present a proposal for a tool for assessing just culture in a food company and to discuss the results of empirical validation of this tool in a selected organization. Research methods: A literature review was conducted to identify tools for measuring JC in different industries. The primary research method was a case study, including a documentation analysis, based on the READ approach. The just culture maturity assessment tool (JCMAT) used by the company was statistically verified. To interpret the results, the so-called Enlighten 4C Food Safety Culture model was applied. Main findings: The JCMAT has proven to be a reliable tool for exploring JC maturity. A set of dimensions were proposed to constitute JC. The surveyed organization has reached the “awakening” maturity level. Socio-demographic characteristics did not have a major impact on respondents’ opinions about the JCMAT statements.

Advancing a hydrogen economy in Australia: Public perceptions and aspirations

Supporters of hydrogen energy urge scaling up technology and reducing costs for competitiveness. This paper explores how hydrogen energy technologies (HET) are perceived by Australia's general population and considers the way members of the public imagine their role in the implementation of hydrogen energy now and into the future. The study combines a nationally representative survey (n = 403) and semi-structured interviews (n = 30). Results show age and gender relationships with self-reported hydrogen knowledge. Half of the participants obtained hydrogen information from televised media. Strong support was observed for renewable hydrogen, while coal (26%) and natural gas (41%) versions had less backing. Participants sought more safety-related information (41% expressed concern). Most felt uncertain about influencing hydrogen decisions and did not necessarily recognise they had agency beyond their front fence. Exploring the link between political identity and agency in energy decision-making is needed, with energy democracy a potentially productive direction.

Inclusion of Food Safety Information in Home-delivered U.K. Meal-kit Recipes

Home-delivered meal-kit recipe boxes provide consumers with fresh, measured ingredients requiring storage, preparation, and cooking by following a recipe card.Previous literature has suggested that including food safety information within recipes may positively impact behavior. Therefore, there is a need to better understand what food safety information is included on the meal-kit recipe cards. Content analysis was performed on U.K. meal-kit provider recipe cards (n = 359) obtained using citizen science methods. Although 46% of recipes referred to handwashing at the start of recipe preparation, these stated ‘wash hands’ with no further advice regarding hand hygiene, and half (48%) did not refer to handwashing during recipe preparation. Most recipes included produce (99%) and referred to washing fruit and vegetables (88%). For meal-kits that provided animal proteins (n = 332), 50% referred to storing ingredients in the fridge, and only one recipe referred to recommended temperatures (≤5°C). Where applicable (n = 346), food safety advice to prevent cross-contamination was present in 51% of recipes.Statements concerning cooking adequacy of animal proteins (n = 1306) included subjective cooking guidance, with 35% referring to visual assessment of color and 26% cooking duration. For best practice food safety guidance, two recipes referred to end-point temperature, and one stated to use a temperature probe. While all meal-kit providers provided some food safety-related information in reviewed recipes, information was often not sufficient to inform consumers about food safety risk-reducing behaviors in the domestic setting. Observational research is needed to understand consumer engagement with how food safety information in meal-kit recipes impacts the behavior of consumers.

An analysis of metaphor in COVID-19 TV news in English and Spanish

ABSTRACT Background Latinxs lack equitable access to science-based, accessible, trustworthy, and bilingual health information and rely heavily on TV news as a source of health information. This study examines how TV news media convey COVID-19 health- and safety-related information to the public, focusing on communications that target Latinxs in the US, a group disproportionately affected by COVID-19. Method To understand how information targets Latinxs, we analyzed conceptual metaphors used in Spanish and English descriptions of the COVID-19 pandemic using TV news archive. Metaphor is an integral part of daily communication that can help people explain what is abstract in terms of what is concrete. Our analysis focused on prominent COVID-19 metaphors in both languages: war, journey, and natural disaster. Results Similar to previous studies, we found that war metaphors were pervasive in English, for instance, as in ‘Diagnostic testing is the only weapon that allows you to fight COVID-19’ and ‘a 15-day battle with COVID-19.’ A new finding was that war metaphors were even more common in Spanish than in English. The journey metaphor had similar rates of use in both languages, while the natural disaster metaphors were more common in English than in Spanish. Conclusions Our work provides novel insights into how TV news reports use metaphor to convey information about COVID-19 to viewers in English and Spanish. We also offer implications on using culturally informed language and conclude with directions for future research to guide health communications serving linguistic minority communities such as Latinxs.

Probability estimation method for fatigue crack growth rate based on a ∼ t data from service

PurposeThe study aims to provide a basis for the effective use of safety-related information data and a quantitative assessment way for the occurrence probability of the safety risk such as the fatigue fracture of the key components.Design/methodology/approachThe fatigue crack growth rate is of dispersion, which is often used to accurately describe with probability density. In view of the external dispersion caused by the load, a simple and applicable probability expression of fatigue crack growth rate is adopted based on the fatigue growth theory. Considering the isolation among the pairs of crack length a and crack formation time t (a∼t data) obtained from same kind of structural parts, a statistical analysis approach of t distribution is proposed, which divides the crack length in several segments. Furthermore, according to the compatibility criterion of crack growth, that is, there is statistical development correspondence among a∼t data, the probability model of crack growth rate is established.FindingsThe results show that the crack growth rate in the stable growth stage can be approximately expressed by the crack growth control curve da/dt = Q•a, and the probability density of the crack growth parameter Q represents the external dispersion; t follows two-parameter Weibull distribution in certain a values.Originality/valueThe probability density f(Q) can be estimated by using the probability model of crack growth rate, and a calculation example shows that the estimation method is effective and practical.

The risks of using ChatGPT to obtain common safety-related information and advice

ChatGPT is a highly advanced AI language model that has gained widespread popularity. It is trained to understand and generate human language and is used in various applications, including automated customer service, chatbots, and content generation. While it has the potential to offer many benefits, there are also concerns about its potential for misuse, particularly in relation to providing inappropriate or harmful safety-related information. To explore ChatGPT's (specifically version 3.5) capabilities in providing safety-related advice, a multidisciplinary consortium of experts was formed to analyse nine cases across different safety domains: using mobile phones while driving, supervising children around water, crowd management guidelines, precautions to prevent falls in older people, air pollution when exercising, intervening when a colleague is distressed, managing job demands to prevent burnout, protecting personal data in fitness apps, and fatigue when operating heavy machinery. The experts concluded that there is potential for significant risks when using ChatGPT as a source of information and advice for safety-related issues. ChatGPT provided incorrect or potentially harmful statements and emphasised individual responsibility, potentially leading to ecological fallacy. The study highlights the need for caution when using ChatGPT for safety-related information and expert verification, as well as the need for ethical considerations and safeguards to ensure users understand the limitations and receive appropriate advice, especially in low- and middle-income countries. The results of this investigation serve as a reminder that while AI technology continues to advance, caution must be exercised to ensure that its applications do not pose a threat to public safety.

Developing a Preclinical Nurse-Nurse Communication Framework for Clinical Trial Patient-Related Safety Information.

Clinical trial trials have become increasingly complex in their design and implementation. Investigational safety profiles are not easily accessed by clinical nurses and providers when trial participants present for clinical care, such as in emergency or urgent care. Wearable devices are now commonly used as bridging technologies to obtain participant data and house investigational product safety information. Clinical nurse identification and communication of safety information are critical to dissuade adverse events, patient injury, and trial withdrawal, which may occur when clinical care is misaligned to a research protocol. Based on a feasibility study and follow-up wearable device prototype study, this preclinical nurse-nurse communication framework guides clinical nurse verbal and nonverbal communication of safety-related trial information to direct patient care activities in the clinical setting. Communication and information theories are incorporated with Carrington's Nurse-to-Nurse Communication Framework to encompass key components of a clinical nurse's management of a trial participant safety event when a clinical trial wearable device is encountered during initial assessment. Use of the preclinical nurse-nurse communication framework may support clinical nurse awareness of trial-related wearable devices. The framework may further emphasize the importance of engaging with research nurses, patients, and caregivers to acquire trial safety details impacting clinical care decision-making.

Exploring the Visual Attention Mechanism of Long-Distance Driving in an Underground Construction Cavern: Eye-Tracking and Simulated Driving

Prolonged driving is necessary in underground construction caverns to transport materials, muck, and personnel, exposing drivers to high-risk and complex environments. Despite previous studies on attention and gaze prediction at tunnel exit-inlet areas, a significant gap remains due to the neglect of dual influences of long-distance driving and complex cues. To address this gap, this study establishes an experimental scenario in a construction environment, utilizing eye-tracking and simulated driving to collect drivers’ eye movement data. An analysis method is proposed to explore the visual change trend by examining the evolution of attention and calculating the possibility of visual cues being perceived at different driving stages to identify the attentional selection mechanism. The findings reveal that as driving time increases, fixation time decreases, saccade amplitude increases, and some fixations transform into unconscious saccades. Moreover, a phenomenon of “visual adaptation” occurs over time, reducing visual sensitivity to environmental information. At the start of driving, colorful stimuli and safety-related information compete for visual resources, while safety-related signs, particularly warning signs, always attract drivers’ attention. However, signs around intense light are often ignored. This study provides a scientific basis for transport safety in the construction environment of underground caverns.

Heterogeneous Architecture for DSRC/LTE Vehicular Communication Networks Based on the ITS Reference Architecture with Fuzzy Logic for Decision-Making

Methods to integrate different access technologies such as heterogeneous communication architecture remains a challenge. Among a variety of V2X-supporting access technologies, Dedicated Short Range Communication (DSRC) and cellular communications, e.g., Long Term Evolution (LTE) is promising reliable and efficient vehicular communications. DSRC has been designed to allow for direct low-latency communications among different vehicles (i.e., V2V) and between vehicles and roadside units (RSU). On the other hand, DSRC suffers from link quality degradation with the presence of buildings and vehicles, especially in urban areas, where channel collisions become serious when vehicle density is high. LTE networks can provide wide area coverage and are favorable to bandwidth-greedy applications, which require high data rates and reliability. Considering the relatively high end-to-end delay for message transmission due to the long transmission time interval (TTI) current LTE networks have drawbacks regarding latency to support highfrequency safety-related information exchange among vehicles in local areas. Combining LTE and DSRC approaches as a heterogeneous solution is essential to fast introduce V2X services for future automated driving. By this intelligent Vertical Handover (VHO) algorithms are needed to ensure seamless connectivity of vehicles to the best network at a particular point in time. For this paper, we propose a 3- input fuzzy-logic-based VHO scheme for Heterogeneous DSRC/LTE Vehicular Communication Networks. The simulation results in this paper show that the proposed 3- input fuzzy-logic model can be able to make decisions and select the best network to connect to base on the network with the highest HF value. The 3-input fuzzy-logic model was also tested in a vehicular highway scenario simulation. The proposed model shows optimized communication results in terms of the mean end-to-end delay against that of the literature.

The effects of displaying availability sections of an automated driving function

So far, there has been little research into displaying the availability of a higher-level automated driving system. The benefits of presenting availability times while driving automatically have already been discussed, but there are no findings on giving information on all availability sections (operational design domains) independent of the current state of the automated driving system. This work aims to close this gap by conducting a driving simulator study with N = 54 participants to verify whether an overview display of all the road sections on which automated driving is possible has a positive effect on the participants’ acceptance, usability, workload, and task performances. Results showed that the presentation of this additional information had a significantly positive influence on both acceptance and task performance. The outcomes of this work indicate that the required transparency-creating information of the automated driving system should not be limited to safety-related information or the phases of automated driving itself.

연구실 안전 정보 활용이 기관 안전관리에 미치는 영향

The purpose of this study is to confirm the degree of utilization of various laboratory safety-related information provided by the government in accordance with the Laboratory Safety Act enforced in 2006. In addition, it is to confirm the influence of safety-related information on laboratory field safety management. Through this, it is intended to check what kind of information provided by the government is helpful for institutional laboratory safety management, to confirm the performance of laboratory safety-related information provision, and to confirm the future direction of information provision. To this end, various laboratory safety-related information provided in accordance with the Laboratory Safety Act was nomadic, a questionnaire was developed, and a survey was conducted using it. A total of 1,288 copies of the survey were retrieved by e-mailing information to those subject to the Laboratory Safety Act and conducting the survey using an online URL. Of these, 1,071 copies were used for analysis, excluding insincere responses, and SPSS 25.0 was used to perform descriptive statistics, mean difference test between groups, and regression analysis. The main research results are as follows. First, the utilization of information related to laboratory safety accidents was the highest, and the majority of laboratory safety management data utilization was found to be higher in universities and research institutes than in a business-affiliated research institutes. Second, it was found that the status of laboratory accidents, published materials such as manuals and guidelines, and safety education information were helpful in preventing laboratory accidents and improving researchers' safety awareness, and also in research activities and work performance. Therefore, in the future, it is necessary for the government to provide the latest information by frequently updating various information provided to laboratories. In addition, since information related to laboratory safety management provides various help to laboratory safety, it is necessary to provide additional information to the institution through a demand survey to find out what information is desired in the field to help the institution's safety management work well.

Railway accident causation analysis: Current approaches, challenges and potential solutions

Railway accident causation analysis is fundamental to understanding the nature of railway safety. Although a considerable number of prior studies have investigated this context, many of them suffer from the need to deal with a large amount of textual data given that most railway safety-related information is recorded and stored in the form of text. To gain a better understanding of the limitations imposed by overreliance on textual analysis, a scoping review of the academic literature on how railway accident causation analysis is addressed has been conducted. The results confirm the high frequency of using textual data, a single case study, and in-depth analysis frameworks. While the value of exploring causational factors is clear, the high level of human intervention and the labour-intensive analysis processes based on a large volume of textual data hinder researchers from understanding the complex nature of the rail safety system. Recently, growing attention has been given to the application of Natural Language Processing (NLP) to aid the practice of analysing a large corpus of textual data, but only limited studies to date in railway safety use such techniques and none address railway accident causation analysis. To fill this gap, a supplementary review is conducted to identify opportunities, challenges, boundaries and limitations in the application of NLP approaches to railway accident causation analysis. Findings indicate that novel techniques using off-the-shelf tools have strong potential to overcome the limitations of overreliance on manual analysis in practice and theory, but the absence of shared railway safety-related benchmark corpora restricts implementation. This study sheds light on a new approach to railway accident causation analysis and clarifies future applicable utilisations for further research.

An open-source platform integrating emerging data sources to support multi-modal active pharmacovigilance

As new data sources have emerged, the data space which Pharmacovigilance (PV) processes can use has significantly expanded. However, still, the currently available tools do not widely exploit data sources beyond Spontaneous Report Systems built to collect Individual Case Safety Reports (ICSRs). This article presents an open-source platform enabling the integration of heterogeneous data sources to support the analysis of drug safety related information. Furthermore, the results of a comparative study as part of the project’s pilot phase are also presented. Data sources were integrated in the form of four “workspaces”: (a) Individual Case Safety Reports—obtained from OpenFDA, (b) Real-World Data (RWD) —using the OMOP-CDM data model, (c) social media data—collected via Twitter, and (d) scientific literature—retrieved from PubMed. Data intensive analytics are built for each workspace (e.g., disproportionality analysis metrics are used for OpenFDA data, descriptive statistics for OMOP-CDM data and twitter data streams etc.). Upon these workspaces, the end-user sets up “investigation scenarios” defined by Drug-Event Combinations (DEC). Specialized features like detailed reporting which could be used to support reports for regulatory purposes and also “quick views” are provided to facilitate use where detailed statistics might not be needed and a qualitative overview of the available information might be enough (e.g., clinical environment). The platform’s technical features are presented as Supplementary Material via a walkthrough of an example “investigation scenario”. The presented platform is evaluated via a comparative study against the EVDAS system, conducted by PV professionals. Results from the comparative study, show that there is indeed a need for relevant technical tools and the ability to draw recent data from heterogeneous data sources is appreciated. However, a reluctance by end-users is also outlined as they feel technical improvements and systematic training are required before the potential adoption of the presented software. As a whole, it is concluded that integrating such a platform in real-world setting is far from trivial, requiring significant effort on training and usability aspects.