Safety Department Research Articles

Praktik Manajemen Strategis Pada Masa Pandemi Covid-19: Studi Kasus Pt X Pelaksana Konstruksi Swasta

Throughout the year of 2020 and 2021, the country of Indonesia is faced with the economic crisis situation caused by the COVID-19 pandemic. The Indonesian goverment has conducted various new up-to-date regulations throughout time accordingly to the latest conditions of the public health in order to prevent the further spread of COVID-19 pandemic, while trying to keep the national economy balanced. X company is one of private costruction builder sector in Indonesia that is impacted by the COVID-19 pandemic. This research is aimed to explore how the COVID-19 pandemic impacts the private construction builder company on the focal of the crisis nowadays, and how the strategic management and crisis management responds in reality from a private construction builder to face the pandemic crisis. The data on this exploratory qualitative research is obtained through direct interviews in X company head office in Surabaya. Four informants are chosen based on the authorization of the management, also from human resource, planning and estimation, health and safety departments. Analysing this qualitative research is done through open coding, axial coding, and selective coding processes. This research found that private construction builder sector is affected negatively in terms of financial, operational, and employee aspects caused by the COVID-19 pandemic, and the dynamic changes of government regulations. The X company management decided to implement various short term strategies consists of retrenchment, persevering, and innovating methods in order to survive during the pandemic crisis. Keywords: COVID-19, crisis impacts, crisis management, exploratory qualitative, private construction

The White Meat Industry in Dubai through a One Health Lens

White meat is one of the most commonly consumed animal-source foods in the Emirate of Dubai and is one of 21 main foods listed in the National Food Security Strategy of UAE and the Emirate of Dubai. Although fresh white meat is produced locally, the quantities are very limited, so, to meet market needs, chilled and frozen white meat is imported. The aim of this chapter is to examine the existing white meat supply networks and market in Dubai and understand the flow of fresh chickens from the local market and the shipment dynamics for imported frozen chickens under the One Health concept. Data from documents, publications and surveys of the Dubai Government, representatives of the Food Safety Department and Veterinary Service Section (via focus group discussions) and direct interviews with local small farmers, food importers, food manufacturers and retailers and animal feed manufacturers and retailers were used to describe the value chain for white meat in the Emirate of Dubai. The data were collected through detailed questionnaires in the interview with the focus groups and interviews of groups of stakeholders selected by the Food Safety Department in Dubai Municipality. Data from government strategies and reports were collected and analysed to understand the government’s position and the size of the white meat sector. The data provided by representatives of local small farmers, food importers, food manufacturers and retailers and animal feed manufacturers and retailers were used to understand the value chain of white meat from the private sector perspective. After studying the value chain and the results of this research, areas were identified in the value chain of the white meat sector at the level of the Emirate of Dubai that can be improved, for example, the need for better marketing of local products. Some areas are already strong such as the inclusion of white meat products in the Dubai strategy for Food Security approved at the level of the Emirate of Dubai. The results of this chapter highlight critical opportunities for changes in policies and best practices that if implemented by the Dubai Government would ensure that the white meat industry is able to meet local market demands. Recommendations to the Dubai Government are presented in support of enhancing Dubai’s economic sustainability and efficient contributions to food and nutrition security.

Use of Whole Genome Sequencing by the Federal Interagency Collaboration for Genomics for Food and Feed Safety in the United States

This multiagency report developed by the Interagency Collaboration for Genomics for Food and Feed Safety provides an overview of the use of and transition to whole genome sequencing (WGS) technology for detection and characterization of pathogens transmitted commonly by food and for identification of their sources. We describe foodborne pathogen analysis, investigation, and harmonization efforts among the following federal agencies: National Institutes of Health; Department of Health and Human Services, Centers for Disease Control and Prevention (CDC) and U.S. Food and Drug Administration (FDA); and the U.S. Department of Agriculture, Food Safety and Inspection Service, Agricultural Research Service, and Animal and Plant Health Inspection Service. We describe single nucleotide polymorphism, core-genome, and whole genome multilocus sequence typing data analysis methods as used in the PulseNet (CDC) and GenomeTrakr (FDA) networks, underscoring the complementary nature of the results for linking genetically related foodborne pathogens during outbreak investigations while allowing flexibility to meet the specific needs of Interagency Collaboration partners. We highlight how we apply WGS to pathogen characterization (virulence and antimicrobial resistance profiles) and source attribution efforts and increase transparency by making the sequences and other data publicly available through the National Center for Biotechnology Information. We also highlight the impact of current trends in the use of culture-independent diagnostic tests for human diagnostic testing on analytical approaches related to food safety and what is next for the use of WGS in the area of food safety.

ANALISI RISIKO KESEHATAN PAJANAN BENZENE PADA PEKERJA DI LABORATORIUM PT X

The laboratory is a work area that has various kinds of hazards, such as benzene exposure which has a health risk for workers. This study aims to analyze the health risks caused by benzene exposure to workers in the PT X laboratory. This study used a cross-sectional design with a descriptive approach which was carried out in the Liquefied Natural Gas testing laboratory of PT X. The study used the Chemical Health Risk Assessment (CHRA) Department of Occupational Safety and Health (DOSH)Malaysia method. 3 workers have a moderate level of risk and 1 worker has a high level of risk, where high exposure can cause carcinogenic effects. The air ventilation sistem as a risk control does not function optimally. The level of risk of benzene exposure to workers through inhalation is at moderate and high levels. It is necessary to improve the air ventilation sistem to reduce the exposure to the dangers of benzene in workers.  Keywords        : Health Risk Analysis, Benzene, Laboratory

Occupational safety and health hazards associated with the slaughtering and meat processing industry in urban areas of Zimbabwe: A case study of the Gweru city Municipal Abattoir

This study examined occupational safety and health hazards associated with the slaughtering and meat processing industry in the Gweru City Municipal abattoir in Zimbabwe. Qualitative and quantitative research designs were employed. The study population involved all the 23 workers including flayers and labourers who are directly involved in slaughtering and meat processing. Data was collected with questionnaire administration, interviews and field observations. Safety and health hazards associated with slaughtering and meat processing at the abattoir included physical, biological, ergonomic, mechanical, environmental and food safety hazards, all with the risk of causing significant harm to the workers. The lack of experience on job operations was one of the key risk factors increasing the likelihood of workers getting injured and increased frequency of injuries. Workers who had more working years at the abattoir encountered injuries less frequently than those who had fewer working years. The abattoir’s occupational safety and health management system was not effective in solving safety and health risks and required improvement. One effective way that can be implemented is to establish a stand-alone safety, health and environment department within the Gweru City Council to give priority to occupational safety and health issues. Training programmes for workers and management on safety and health are recommended to improve workers’ skills on job tasks, hazard identification, and risk assessment and to improve workers’ behaviour as well as to enhance awareness on safety and health among management, which ultimately improves management commitments.

Can We Geographically Validate a Natural Language Processing Algorithm for Automated Detection of Incidental Durotomy Across Three Independent Cohorts From Two Continents?

Incidental durotomy is an intraoperative complication in spine surgery that can lead to postoperative complications, increased length of stay, and higher healthcare costs. Natural language processing (NLP) is an artificial intelligence method that assists in understanding free-text notes that may be useful in the automated surveillance of adverse events in orthopaedic surgery. A previously developed NLP algorithm is highly accurate in the detection of incidental durotomy on internal validation and external validation in an independent cohort from the same country. External validation in a cohort with linguistic differences is required to assess the transportability of the developed algorithm, referred to geographical validation. Ideally, the performance of a prediction model, the NLP algorithm, is constant across geographic regions to ensure reproducibility and model validity. Can we geographically validate an NLP algorithm for the automated detection of incidental durotomy across three independent cohorts from two continents? Patients 18 years or older undergoing a primary procedure of (thoraco)lumbar spine surgery were included. In Massachusetts, between January 2000 and June 2018, 1000 patients were included from two academic and three community medical centers. In Maryland, between July 2016 and November 2018, 1279 patients were included from one academic center, and in Australia, between January 2010 and December 2019, 944 patients were included from one academic center. The authors retrospectively studied the free-text operative notes of included patients for the primary outcome that was defined as intraoperative durotomy. Incidental durotomy occurred in 9% (93 of 1000), 8% (108 of 1279), and 6% (58 of 944) of the patients, respectively, in the Massachusetts, Maryland, and Australia cohorts. No missing reports were observed. Three datasets (Massachusetts, Australian, and combined Massachusetts and Australian) were divided into training and holdout test sets in an 80:20 ratio. An extreme gradient boosting (an efficient and flexible tree-based algorithm) NLP algorithm was individually trained on each training set, and the performance of the three NLP algorithms (respectively American, Australian, and combined) was assessed by discrimination via area under the receiver operating characteristic curves (AUC-ROC; this measures the model's ability to distinguish patients who obtained the outcomes from those who did not), calibration metrics (which plot the predicted and the observed probabilities) and Brier score (a composite of discrimination and calibration). In addition, the sensitivity (true positives, recall), specificity (true negatives), positive predictive value (also known as precision), negative predictive value, F1-score (composite of precision and recall), positive likelihood ratio, and negative likelihood ratio were calculated. The combined NLP algorithm (the combined Massachusetts and Australian data) achieved excellent performance on independent testing data from Australia (AUC-ROC 0.97 [95% confidence interval 0.87 to 0.99]), Massachusetts (AUC-ROC 0.99 [95% CI 0.80 to 0.99]) and Maryland (AUC-ROC 0.95 [95% CI 0.93 to 0.97]). The NLP developed based on the Massachusetts cohort had excellent performance in the Maryland cohort (AUC-ROC 0.97 [95% CI 0.95 to 0.99]) but worse performance in the Australian cohort (AUC-ROC 0.74 [95% CI 0.70 to 0.77]). We demonstrated the clinical utility and reproducibility of an NLP algorithm with combined datasets retaining excellent performance in individual countries relative to algorithms developed in the same country alone for detection of incidental durotomy. Further multi-institutional, international collaborations can facilitate the creation of universal NLP algorithms that improve the quality and safety of orthopaedic surgery globally. The combined NLP algorithm has been incorporated into a freely accessible web application that can be found at https://sorg-apps.shinyapps.io/nlp_incidental_durotomy/ . Clinicians and researchers can use the tool to help incorporate the model in evaluating spine registries or quality and safety departments to automate detection of incidental durotomy and optimize prevention efforts. Level III, diagnostic study.

Lutetium-177 Radiopharmeceutical Therapy Extravasation Lessons Learned.

Lutetium-177 ( 177 Lu) dotatate has been offered at Fox Chase Cancer Center since 2017 as part of a clinical trial and then in 2018 as a commercially available cancer therapy, and we thought we were prepared for most 177 Lu issues by the fall of 2020. A single phone call identified that the Radiation Safety Department had not been prepared to address extravasations. Fortunately for the patient and Radiation Safety, the 177 Lu therapies are administered by an infusion nurse and Fox Chase Cancer Center has a robust infusion center. The expertise of our infusion center team helped to quickly identify specific mitigation efforts to employ. A team of radiation safety and diagnostic medical physicists worked together to estimate a tissue dose. Research was also started with the aim of identifying therapeutic 177 Lu extravasations as early as possible. The lessons we learned and plans for future early identification of 177 Lu dotatate extravasations are the basis of this paper.

Mathematical efficiency calibration in gamma spectroscopy

Abstract Mathematical efficiency calibration with the LabSOCS software was introduced for two detectors in the measurement laboratory of the Central Safety Department of Forschungszentrum Karlsruhe. In the present contribution, conventional efficiency calibration of gamma spectroscopy systems and mathematical efficiency calibration with LabSOCS are compared with respect to their performance, uncertainties, expenses, and results. It is reported about the experience gained, and the advantages and disadvantages of both methods of efficiency calibration are listed. The results allow the conclusion to be drawn that mathematical efficiency calibration is a real alternative to conventional efficiency calibration of gamma spectroscopy systems as obtained by measurements of mixed gamma ray standard sources.

Winter Climate Variability, De-Icing Salt and Streetside Tree Vitality

De-icing salts are applied to roads and walking surfaces to mitigate winter hazards resulting from ice, snow and freezing rain. The vitality of streetside trees, especially those growing in densely built urban areas, is compromised by repeated exposure to de-icing salts. Such trees already experience unfavorable establishment and growing conditions resulting from poor soil quality, inadequate moisture, physical abuse and air pollution−exposure to de-icing salt aggravates these challenges and can be an essential catalyst in tree mortality. Climate change is creating less predictable weather and, in some cases amplifying the intensity of winter storms. Cities that undertake snow and ice management may adopt modified approaches, and those less familiar with this practice may require its episodic adoption. We identify three pathways by which future climate warming may, counterintuitively, result in cities increasing their use of de-icing salt: (a) Warming winter temperatures in cities that were historically too cold to make effective use of sodium chloride (NaCl) for de-icing; (b) cities where daily high temperatures in winter may increase the frequency of freeze-thaw cycles; and, (c) cities in North America and Eurasia that may experience more severe winter weather resulting from greater variability in the circumpolar vortex (CPV). To offset potential damage to existing urban streetside trees and to ensure adequate soil and growing conditions for future trees, there is an immediate need for city foresters to collaborate with traffic safety and public works departments. We present a toolbox of approaches that can facilitate synchronized management efforts, including identifying the location of existing vulnerable trees and re-envisioning future infrastructure that would mitigate tree exposure to de-icing salts. At the same time, we call for the prioritization of research that investigates new potential pathways along which climate change may contribute to the novel adoption of de-icing salts.

Development of an Internal Safety Evaluation Program for Ready Mixed Concrete Producers

The aim of this study is to assist the safety specialists and departments in ready mixed concrete (RMC) industry by preparing an internal safety evaluation program (ISEP). To constitute an ISEP the 287-item control list was created and grouped as negligible, moderate, and critical. The control list was applied to thirteen RMC plants which belongs to one RMC company. It is found that even the same company cannot ensure stability in terms of OHS between its plants, none of the plants had an approved OHS policy, emergency action plan and a plant entrance OHS warning sign. OHS training was mostly missing in plants.

Validation Study on an Improved Quantitative Method for Aflatoxins in Foods

As an analytical method for aflatoxins in foods, the analytical method based on the notification by the director of the Food Safety Department, Pharmaceutical and Food Safety Bureau, Ministry of Health, Labour and Welfare (August 16, 2011) has been established. In order to improve the operability and analytical performance of the conventional method, this study aimed to construct an improved method that optimized selection of immunoaffinity column (IAC) and purifying condition, and omitted evaporation after the purification with IAC. In the recovery test performed by adding 2.5 ng/g of aflatoxin B1, B2, G1 and G2 standard solutions into 9 kinds of food samples, the improved method achieved the established target values: 77.0-99.7% of recovery, 1.7-5.6% of intra-assay coefficient of validation, and 0.9-3.6% of inter-assay of coefficient of variation, respectively. The improved method also achieved 4.3-10.5% greater recovery and 1.5 hours shorter preparation time than the conventional one. These results indicate applicability of the improved method for 9 kinds of foods and its efficacy as an analytical method for aflatoxins in foods.

"The Importance of Just in Time (JIT) Methodology and its Advantages in Health Care Quality Management Business – A Scoping Review"

Ahsan Siddiqui, M.D, M.S.P.H (UK)* Author Affiliations Consultant Preventive Medicine and Epidemiologist, Department of Quality, Management & Patient Safety, General Directorate of Health, Saudi Arabia Received: February 11, 2022 | Published: February 23, 2022 Corresponding author: Ahsan Ali Siddiqui, Consultant Preventive Medicine and Epidemiologist, Department of Quality, Management & Patient Safety, General Directorate of Health, Riyadh, Saudi Arabia DOI: 10.26717/BJSTR.2022.42.006701

Assessing the Influence Level of Food Safety Public Opinion with Unbalanced Samples Using Ensemble Machine Learning

Assessing the public opinion on food safety events constitutes an important job of government regulators. To optimize the government’s management of food safety affairs, a promising way is to use artificial intelligence to improve the efficiency of food safety public opinion assessment. In this paper, we model the assessment of public opinion influence as a text classification task. The whole model adopts the ensemble learning framework, and it integrates naive Bayes, support vector machine, extreme gradient boosting, convolutional neural network, long- and short-term memory network, FastText, and BERT classification methods into the framework to form an ensemble learner. The ensemble learner is able to classify textual public opinion into high, medium, and low influence levels by learning from the samples assessed by human experts. To overcome the problem of unbalanced samples, we propose a sample generation method consisting of synonym replacement and semantic filtering to increase the number of high-influence samples. Real public opinion data collected from the Food Safety Department of the Chinese government are used for experiment. Extensive comparison of the proposed method with baseline methods proves the effectiveness of the ensemble learner and the sample generation steps.

COVID-19 Waste Management Strategy: Hamad Medical Corporation Experience

Background: As the number of coronavirus disease (COVID-19) patients has rapidly increased around the world, the World Health Organization (WHO) declared the COVID-19 outbreak as a global pandemic in March 2020.1 The pandemic created a global crisis affecting all countries, business sectors, and citizens around the world in their everyday lives.2 Qatar's national policies and strategies focus on protecting the lives and the recovery of livelihoods. In line with this and to minimize the adverse impact on people's health and the environment, all types of wastes needed to be properly managed 3, especially at the time of a pandemic when everything might be contaminated. Methods: The Environmental Safety Section (ESS) under the Occupational Health and Safety (OHS) Department conducted a series of meetings with Hamad Medical Corporation (HMC) waste contractor and concerned departments to discuss the proper management of COVID-19 wastes generated from isolation and quarantine facilities. ESS staff provided training for nursing and housekeeping staff on the proper COVID-19 waste management from segregation, packaging, labeling, collection, and transport, and to strictly implement the System-Wide Incident Command Center (SWICC) memo.3Results: There was an increase in COVID-19 wastes from March to May 2020, with the highest amount recorded in the month of May as shown in Figure 1 due to the increase in COVID-19 patients, new COVID-19 facilities, improper segregation, and lack of training for the new staff and contractors. Conclusion: ESS-OHS collaborated with the COVID-19 management facilities for the proper waste collection and transportation. All applied strategies were effective and helped gradually to reduce the waste generated starting from August 2020.

A moving forest model to predict the building-level progression of ordinance-mandated seismic retrofits

An algorithm is formulated to dynamically predict the progression of policy-mandated building-specific seismic retrofits over time. Elements of the widely utilized moving forecast model is integrated with the random forest machine learning algorithm. An evolving duration-based window structure is adopted, which is partitioned into training and forecasting phases, each of which is further subdivided into smaller increments of time. Inside the training window, the time since the passage of the ordinance is combined with building, socioeconomic and demographic variables to create a feature matrix. The outcome vector comprises the state of progression of each building (as defined by the ordinance and/or modeler) in the affected inventory at pre-defined time instants. The data subset in the training window is used to construct the random forest classification model that predicts the retrofit progression states within the forecasting part of the window. This process is repeated while incrementally increasing the fraction of the ordinance time horizon that is encapsulated within each subsequent window. The “moving forest” algorithm is implemented on the wood frame building inventory that is under the purview of the Los Angeles Soft-Story Ordinance. For this specific application, the number of units in the building, the percentage of owner-occupied units (at the census-block level) and the time since the passage of the Ordinance, are found to be the most important features. The classification accuracy ranged from approximately 53% during the first six months to 95% in the final year of the considered four-year time-horizon. The proposed model can be used by departments of building and safety to manage the flow of permit and retrofit certification applications associated with an ordinance or for dynamic assessments that aim to model the risk reduction in the affected inventory over time.

Octave Band Technique for Noise Measurement at the Source, Path, and Receiver of Gas Turbines in Oil and Gas Facilities

Noise measurement is essential for industrial usage. However, further attention to preventing noise pollution is needed, especially when working with equipment generating a high noise level, such as gas turbines. This study aims to determine the best way to perform noise measurement and analyze the octave band frequency generated by noise pollution caused by gas turbine equipment. Data from site measurements show that the gas turbines produce more than 85 dB of noise with a Z-weighted measurement. A noise measuring investigation was conducted to obtain the data for the 1/3 octave band. A frequency-domain was used to comprehend the properties of the noise measurement frequency band. The frequency band was classified into three different zones called low, medium, and high frequency, which is useful in noise measurement analysis to identify a viable solution to reduce the noise. On-site sampling was performed at the source, path, and receiver of three separate gas turbine locations within oil and gas operations. The 1/3 octave band data collection results at the sound source, path, and receiver demonstrate the noise level distribution at the perimeter of gas turbine installations in the low and medium frequency ranges. Most of the high noise frequency range is between 250 Hz and 2 kHz for source, path, and receiver. All acquired values are compared to the Department of Safety and Health (Occupational Safety and Health (Noise Exposure) Regulations 2019 in Malaysia. As a result, oil and gas service operators can monitor and take countermeasures to limit noise exposure at oil and gas facilities.

المتكامل في تحسين تقارير الاستدامة COSO تأثير الرقابة الداخلية وفقا لإطار لشركات النفط العراقية

The orientation towards preparing sustainability reports has become an urgent necessity that economic units bear in order to provide financial and non-financial information in a concise and reliable manner in order to meet the needs of stakeholders. The research aimed to evaluate the efficiency of internal control in accordance with the COSO framework and its role in improving sustainability reports, and to achieve research and testing objectives. His hypotheses, the questionnaire form that included preparing the modified sustainability reports was designed according to the represent the dependent variable, as well as an examination form in which the extent of the reliance of the internal control of companies. (COSO) to be representative of the explanatory (i.e., independent) variable. The research sample was represented in five oil companies (Middle Oil Company, Oil Products Distribution Company, Middle Refineries Company, Oil Pipelines Company and the General Company for Gas Filling and Services). The questionnaire was distributed to officials in various centers of the above mentioned companies' departments, including the Control and Audit Department and the Financial Commission. And the production department and the environment and safety department. The research found that there is an impact of internal control mechanisms based on the principles of the (COSO) framework in improving the preparation of sustainability reports according to (COSO).

Early Ordovician conodonts from Barnicarndy 1 stratigraphic well of the Southern Canning Basin, Western Australia

Documented here is the systematic description of conodonts from 10 samples collected within the Nambeet Formation in Barnicarndy 1, a deep stratigraphic drillhole located within the Barnicarndy Graben on the southwestern margin of the Canning Basin, Western Australia. The fauna is represented by 22 identifiable species including a new species, Juanognathus? denticulatus sp. nov., and several age-diagnostic taxa. Three biozones extending from the upper Tremadocian to upper Floian (Lower Ordovician) are recognized in these assemblages, including the Jumudontus gananda Biozone, the Oepikodus communis Biozone and the Paroistodus proteus Biozone, all previously recorded from the Samphire Marsh Member of the Nambeet Formation. Identification of this conodont succession has enabled both precise age constraints for this sequence and correlation to other occurrences of the Samphire Marsh Member, and indicates that this unit reaches an apparent thickness of 925 m (from 1345 to 2270 m depth) in Barnicarndy 1. This newly recovered fauna can be well correlated across the basin, such as with Nambeet Formation faunas intersected in the Olympic 1 petroleum well in the northwestern Broome Platform, and from correlative carbonates on the Lennard Shelf along the northern margin of the Canning Basin. Yong Yi Zhen [ yong-yi.zhen@planning.nsw.gov.au ], Geological Survey of New South Wales, W.B. Clarke Geoscience Center, 947-953 Londonderry Road, Londonderry NSW 2753, Australia; Heidi J Allen [ heidi.allen@dmirs.wa.gov.au ]; Sarah K Martin [ sarah.martin@dmirs.wa.gov.au ], Geological Survey of Western Australia, Department of Mines, Industry Regulation and Safety, Mineral House, 100 Plain Street, East Perth WA 6004.

Improving the quality characteristics of flour confectionery when adding vegetable puree for the sustainable development of food production

The confectionery industry is an independent production sector in the food processing industry. The purpose of the work is to improve the quality of products and expand the assortment of confectionery - cupcake, which consists in adding vegetable puree (pumpkin). The object of the study is the Dutch cupcake. In the Volgograd State Agrarian University at the Department of Processing Technologies and Food Safety, test baking of a cupcake confectionery with the addition of pumpkin puree was carried out. According to organoleptic and physico-chemical parameters, the cupcakes met the requirements of State Standard 15052-2014 “Cupcakes. General technical conditions”. When comparing the test samples, there are no significant differences, it differs in that the product with the addition of pumpkin puree has the smell and taste of pumpkin, and the porosity of the product decreases slightly, all this has a positive effect on the studied product. The profitability of the cupcake products with the addition of pumpkin puree is 1% higher than the control sample. A cupcake with the addition of pumpkin puree can be recommended as a preventive nutrition.

Characterization and Maintenance of Hospital Equipment: A Case Study on the Institute of Molecular Medicine Jo˜ao Lobo Antunes

Objective: The objective of this study was to conduct a study on the characterization and maintenance of equipment in a hospital environment and apply it in the case study conducted as part of an internship at the Instituto de Medicina Molecular João Lobo Antunes (iMM), with a duration of eleven months. This work contributed to the identification of improvements to be applied in the Safety and Compliance Department, in the maintenance, calibration, and monitoring of medical-hospital equipment (MHE), to improve their reliability and efficiency, the reduction of costs and downtime, and the probability risk to the patient, engineer, or user associated with the equipment. Materials and Methods: This is an MHE study of the iMM, also monitoring the maintenance and calibration of different equipment by technicians and engineers responsible internally and externally. Discussion and Practical Results: A maintenance software for the iMM was chosen to help the institute to have all the equipment information in a more organized way. Monitoring of some iMM equipment was conducted. Conclusion: It was found that the safety of patients, engineers, or users who manage MHE is an extremely principal factor. For this factor not to be harmed, constant monitoring, maintenance, and calibration of the equipment are necessary, ensuring the safety of the user and their proper functioning.