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Journal articles on the topic 'Incident database'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Aubé-Maurice, J., L. Rochette, and C. Blais. "Divergent associations between incident hypertension and deprivation based on different sources of case identification." Chronic Diseases and Injuries in Canada 32, no. 3 (2012): 121–30. http://dx.doi.org/10.24095/hpcdp.32.3.02.

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Introduction Studies suggest that hypertension is more prevalent in the most deprived. Our objective was to examine the association between incident hypertension and deprivation in Quebec based on different modes of case identification, using two administrative databases. Methods We identified new incident cases of hypertension in 2006/2007 in the population aged 20 years plus. Socio-economic status was determined using a material and social deprivation index. Negative binomial regression analyses were carried out to examine the association between incident hypertension and deprivation, adjust

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McGregor, Sean. "Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (2021): 15458–63. http://dx.doi.org/10.1609/aaai.v35i17.17817.

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Mature industrial sectors (e.g., aviation) collect their real world failures in incident databases to inform safety improvements. Intelligent systems currently cause real world harms without a collective memory of their failings. As a result, companies repeatedly make the same mistakes in the design, development, and deployment of intelligent systems. A collection of intelligent system failures experienced in the real world (i.e., incidents) is needed to ensure intelligent systems benefit people and society. The AI Incident Database is an incident collection initiated by an industrial/non-prof

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Ross, B. C. "A Transport Incident Database." International Journal of Radioactive Materials Transport 4, no. 2 (1993): 117–19. http://dx.doi.org/10.1179/rmt.1993.4.2.117.

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Paeth, Kevin, Daniel Atherton, Nikiforos Pittaras, Heather Frase, and Sean McGregor. "Lessons for Editors of AI Incidents from the AI Incident Database." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 28 (2025): 28946–53. https://doi.org/10.1609/aaai.v39i28.35163.

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As artificial intelligence (AI) systems become increasingly deployed across the world, they are also increasingly implicated in AI incidents – harm events to individuals and society. As a result, industry, civil society, and governments worldwide are developing best practices and regulations for monitoring and analyzing AI incidents. The AI Incident Database (AIID) is a project that catalogs AI incidents and supports further research by providing a platform to classify incidents for different operational and research-oriented goals. This study reviews the AIID’s dataset of 750+ AI incidents an

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Gopalaswami, Nirupama, and Zhe Han. "Analysis of laboratory incident database." Journal of Loss Prevention in the Process Industries 64 (March 2020): 104027. http://dx.doi.org/10.1016/j.jlp.2019.104027.

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Cristina Galassi, M., Efthymia Papanikolaou, Daniele Baraldi, et al. "HIAD – hydrogen incident and accident database." International Journal of Hydrogen Energy 37, no. 22 (2012): 17351–57. http://dx.doi.org/10.1016/j.ijhydene.2012.06.018.

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Guo, Diansheng, Ke Liao, and Michael Morgan. "Visualizing Patterns in a Global Terrorism Incident Database." Environment and Planning B: Planning and Design 34, no. 5 (2007): 767–84. http://dx.doi.org/10.1068/b3305.

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The terrorism database includes more than 27000 terrorism incidents between 1968 and 2006. Each incident record has spatial information (country names for all records and city names for some records), a time stamp (ie year, month, and day), and several other fields (eg tactics, weapon types, target types, fatalities, and injuries). We introduce a unified visualization environment that is able to present various types of patterns and thus to facilitate explorations of the incident data from different perspectives. With the visualization environment one can visualize either spatiomultivariate, s

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Rodrigues, Rowena, Anais Resseguier, and Nicole Santiago. "When Artificial Intelligence Fails." Public Governance, Administration and Finances Law Review 8, no. 2 (2023): 17–28. http://dx.doi.org/10.53116/pgaflr.7030.

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Diverse initiatives promote the responsible development, deployment and use of Artificial Intelligence (AI). AI incident databases have emerged as a valuable and timely learning resource and tool in AI governance. This article assesses the value of such databases and outlines how this value can be enhanced. It reviews four databases: the AI Incident Database, the AI, Algorithmic, and Automation Incidents and Controversies Repository, the AI Incident Tracker and Where in the World Is AI. The article provides a descriptive analysis of these databases, examines their objectives, and locates them

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Hassane, TAHIR. "Context-based techniques for improving database management." International Journal of Computer Science Issues 15, no. 6 (2018): 28–35. https://doi.org/10.5281/zenodo.2544623.

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The business computer applications abound by a wide variety of “incidents”, some of them are minor and some of them are complex requiring high expert skills and efficient collaboration between experts in order to solve them. These practices reflect the building of operational knowledge, step by step, by Database Administrators (DBAs). They are collected and compared by organizations in order to establish secure procedures for encountered incidents. This kind of procedures can be seen as internal procedures as they have been established within an organization and not delivered by DB

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Ledford, Theodore Dreyfus. "Does artificial intelligence harm labour? Investigating the limitations of incident trackers as evidence for policymaking." Information Research an international electronic journal 30, iConf (2025): 486–99. https://doi.org/10.47989/ir30iconf47296.

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Introduction. From the point of view of public policy, artificial intelligence (AI) is an emerging technology with as-yet-unknown risks. AI incident trackers collect harms and risks to inform policymaking. We investigate how labour is represented in two popular AI incident trackers. Our goal is to understand how well the knowledge organization of these incident trackers reveals labour-related risks for AI in the workplace, with a focus on how AI is impacting and expected to impact workers within the United States. Data and Analysis. We search for and analyse labour-related incidents in two AI

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Yardley, Iain E., Andrew Carson-Stevens, and Liam J. Donaldson. "Serious incidents after death: content analysis of incidents reported to a national database." Journal of the Royal Society of Medicine 111, no. 2 (2017): 57–64. http://dx.doi.org/10.1177/0141076817744561.

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Objectives To describe serious incidents occurring in the management of patient remains after their death. Design Incidents occurring after patient deaths were analysed using content analysis to determine what happened, why it happened and the outcome. Setting The Strategic Executive Information System database of serious incidents requiring investigation occurring in the National Health Service in England. Participants All cases describing an incident that occurred following death, regardless of the age of the patient. Main outcome measures The nature of the incident, the underlying cause or

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Olesnicky, Benjamin L., Rosie Trumper, Vanessa Chen, and Martin D. Culwick. "The use of sugammadex in critical events in anaesthesia: A retrospective review of the webAIRS database." Anaesthesia and Intensive Care 50, no. 3 (2022): 220–26. http://dx.doi.org/10.1177/0310057x211039859.

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Sugammadex has been used for more than ten years in Australia and New Zealand and has been implicated as an effective treatment, and in some cases a potential cause, of a critical incident. We aimed to identify and analyse critical incidents involving sugammadex reported to webAIRS, a de-identified voluntary online critical incident reporting system in Australia and New Zealand. We identified 116 incidents where the reporter implicated sugammadex as either a cause (23 cases) or a treatment (93 cases) during anaesthesia. There were 17 incidents suggestive of sugammadex anaphylaxis, although not

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Quantin, C., E. Benzenine, M. Fassa, et al. "Evaluation of the interest of using discharge abstract databases to estimate breast cancer incidence in two French departments." Statistical Journal of the IAOS: Journal of the International Association for Official Statistics 28, no. 1-2 (2012): 73–85. https://doi.org/10.3233/sji-2012-0742.

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Context and objective: In France, national estimates of the incidence of cancers are based on mortality data by extrapolating the ratio between observed incidence and mortality in areas covered by cancer registries. The objective of this study is to determine the interest of using the discharge abstracts database gathered in hospitals to estimate breast cancer incidence in two French departments: Côte d'Or and Doubs. Methods: This study concerns the incident breast cancer cases identified in 2004 and 2005 through Côte d'Or and Doubs cancer registries and potential incident breast cancer cases

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Subach, I., and O. Vlasenko. "Fuzzy models for cyber incident detection in military information and communication systems databases." Communication, informatization and cybersecurity systems and technologies, no. 5 (June 1, 2024): 165–80. http://dx.doi.org/10.58254/viti.5.2024.15.165.

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Protecting databases of military information and communication systems is an extremely important task in the modern cybersecurity sphere. Growing threats from cyberattacks, the need to effectively detect, counteract and prevent them require the use of new, more effective models and methods. The main disadvantages of existing models and methods include insufficient sensitivity to new threats, a large number of detection errors, low response to new threats, the possibility of bypassing protective measures, and low scalability, which are key challenges for further improvement and development of c

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Santos, Cynthia, Tharwat El Zahran, Jessica Weiland, Mehruba Anwar, and Joshua Schier. "Characterizing Chemical Terrorism Incidents Collected by the Global Terrorism Database, 1970-2015." Prehospital and Disaster Medicine 34, no. 04 (2019): 385–92. http://dx.doi.org/10.1017/s1049023x19004539.

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AbstractBackground:The Global Terrorism Database (GTD) is an open-source database on terrorist incidents around the world since 1970, and it is maintained by the National Consortium for the Study of Terrorism and Responses to Terrorism (START; College Park, Maryland USA), a US Department of Homeland Security Center of Excellence. The consortium reviews media reports to determine if an event meets eligibility to be categorized as a terrorism incident for entry into the database.Objective:The objective of this study was to characterize chemical terrorism incidents reported to the GTD and underst

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Li, Xiaobing, Asad J. Khattak, and Behram Wali. "Role of Multiagency Response and On-Scene Times in Large-Scale Traffic Incidents." Transportation Research Record: Journal of the Transportation Research Board 2616, no. 1 (2017): 39–48. http://dx.doi.org/10.3141/2616-05.

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Traffic incidents, often known as nonrecurring events, impose enormous economic and social costs. Compared with short-duration incidents, large-scale incidents can substantially disrupt traffic flow by blocking lanes on highways for long periods. A careful examination of large-scale traffic incidents and associated factors can assist with actionable large-scale incident management strategies. For such an analysis, a unique and comprehensive 5-year incident database on East Tennessee roadways was assembled to conduct an in-depth investigation of large-scale incidents, especially focusing on ope

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Rothwell, Mark, and John Chudley. "The Development and Analysis of a Navigational Incident Database for Naval Vessels." Journal of Navigation 52, no. 3 (1999): 318–29. http://dx.doi.org/10.1017/s0373463399008401.

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Operating a fleet of ships in all weathers and environments poses certain risks, and navigational incidents such as collisions, groundings and vessel strikings are bound to occur. The Royal Navy has always conducted extensive inquiries into the serious navigational incidents in order to establish the cause and so prevent reoccurrence. However, many less serious navigational incidents occur which, if collated and analysed on a database, could help better understanding of the nature of such incidents. This paper describes how a database that met these needs was designed and developed. Once compl

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Eshareturi, Cyril, and Laura Serrant. "Embedding learning from adverse incidents: a UK case study." International Journal of Health Care Quality Assurance 30, no. 3 (2017): 216–23. http://dx.doi.org/10.1108/ijhcqa-05-2016-0060.

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Purpose This paper reports on a regionally based UK study uncovering what has worked well in learning from adverse incidents in hospitals. The purpose of this paper is to review the incident investigation methodology used in identifying strengths or weaknesses and explore the use of a database as a tool to embed learning. Design/methodology/approach Documentary examination was conducted of all adverse incidents reported between 1 June 2011 and 30 June 2012 by three UK National Health Service hospitals. One root cause analysis report per adverse incident for each individual hospital was sent to

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OTSUKA, Yuichi, Tomotaka ABE, Hiroshi NOGUCHI, and Akifumi MAKINOUCHI. "Development of Incident Report Database for Organizational Learning." Transactions of the Society of Instrument and Control Engineers 45, no. 2 (2009): 120–26. http://dx.doi.org/10.9746/sicetr.45.120.

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Osei, Daniel A., Andrew P. Groves, Kerry Bommarito, and Wilson Z. Ray. "Cubital Tunnel Syndrome: Incidence and Demographics in a National Administrative Database." Neurosurgery 80, no. 3 (2016): 417–20. http://dx.doi.org/10.1093/neuros/nyw061.

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Abstract BACKGROUND: Compressive neuropathy of the ulnar nerve at the elbow, or cubital tunnel syndrome (CuTS), is the second most common entrapment neuropathy of the upper extremity after carpal tunnel syndrome. While several studies have reported risk factors and outcomes for select populations (mostly surgical), it is difficult to interpret these data without an accurate measure of CuTS disease burden in the general population. OBJECTIVE: To estimate the incidence of CuTS among US health plan enrollees, using a large administrative health care claims database comprised of individuals from a

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Saldaña Espinel, Laura Estefania, Andres Felipe Patiño Benavidez, Nicolás Rozo Agudelo, et al. "Estimating breast, stomach, and colorectal cancer incidence in Colombia through administrative database algorithms: A systematic review of literature and real-world data study." Journal of Clinical Oncology 39, no. 15_suppl (2021): e18810-e18810. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.e18810.

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e18810 Background: Breast, stomach and colorectal cancers have high incidence in Colombia. Official cancer incidence registries depend upon sentinel site reports as there is no nationwide surveillance system. We aimed to identify administrative database algorithms for breast, stomach and colorectal cancer case selection and to compare their cancer incidence estimates to official registries. Methods: We conducted a systematic review to identify algorithms with high positive predictive values (VPP) for breast, stomach and colorectal cancer case identification in administrative databases. For eac

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Ingole, Prof K. R., Akshada S. Hage, Khushali V. Dudhabade, Sakshi D. Tayade, Radhika S. Khewalkar, and Supriya N. Deshpande. "Database Security." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 1568–76. http://dx.doi.org/10.22214/ijraset.2023.50415.

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Abstract: Database security is a crucial factor in safeguarding sensitive data in today's information-centric world. As organizations increasingly rely on databases for storing and managing vast volumes of data, ensuring the security of databases has become a top priority. This paper proposes a methodology for enhancing database security by addressing identified challenges and attacks. The methodology involves various steps, including identifying and assessing potential threats, evaluating existing security measures, implementing multi-layered defense, enforcing the principle of least privileg

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Ferrara, Pietro, Ippazio C. Antonazzo, Manuel Zamparini, et al. "Epidemiology of SLE in Italy: an observational study using a primary care database." Lupus Science & Medicine 11, no. 1 (2024): e001162. http://dx.doi.org/10.1136/lupus-2024-001162.

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ObjectivesTo estimate the incidence and prevalence of SLE in Italy, and to describe the demographic and clinical characteristics of patients with newly diagnosed SLE.MethodsA retrospective cohort study was conducted using The Health Improvement Network general practice database in Italy, encompassing data from 634 753 people. SLE cases were identified over the period 2017–2022, employing three alternative definitions to provide a more detailed understanding of SLE characteristics. Incidence rates were expressed as cases per 100 000 person-years and prevalence as cases per 100 000 people. Demog

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Konduri, Sravanthi, Samuel Labi, and Kumares C. Sinha. "Incident Occurrence Models for Freeway Incident Management." Transportation Research Record: Journal of the Transportation Research Board 1856, no. 1 (2003): 125–35. http://dx.doi.org/10.3141/1856-13.

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Incident prediction models are presented for the Interstate 80/Interstate 94 (Borman Expressway in northwestern Indiana) and Interstate 465 (northeastern Indianapolis, Indiana) freeway sections developed as a function of traffic volume, truck percentage, and weather. Separate models were developed for all incidents and noncrash incidents. Three model types were considered (Poisson regression, negative binomial regression, and nonlinear regression), and the results were compared based on magnitudes and signs of model parameter estimates and t-statistics. Least-squares estimation and maximum-lik

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Miller-Wilson, Lesley-Ann, Joel Arackal, Yuriy Edwards, et al. "Epidemiology and patient characteristics of the US myasthenia gravis population: real-world evidence from a large insurance claims database." BMJ Neurology Open 7, no. 1 (2025): e001076. https://doi.org/10.1136/bmjno-2025-001076.

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BackgroundThe epidemiology of myasthenia gravis (MG), a rare autoimmune disease, is not completely understood. This retrospective claims analysis assessed the epidemiologic rates of MG in the USA and the characteristics of the incident and prevalent MG populations.MethodsPatients with MG were identified using Inovalon closed claims data; those with ≥2International Classification of Diseases, 10th Revision(ICD-10) codes for MG from 2016 to 2019, separated by ≥30 days, were eligible. Patients in the prevalent cohort had continuous insurance coverage from January to December 2019. Patients in the

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Chua, Cecil Eng Huang, and Veda C. Storey. "Dealing with Dangerous Data: Part-Whole Validation for Low Incident, High Risk Data." Journal of Database Management 27, no. 1 (2016): 29–57. http://dx.doi.org/10.4018/jdm.2016010102.

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In certain situations, syntactically valid, but incorrect, data entered into a database can result in near-immediate, catastrophic financial losses for an organization. Examples include: omitting zeros in prices of goods on e-commerce sites; and financial fraud where data is directly entered into databases, bypassing application-level financial checks. Such “dangerous data” can, and should, be detected, because it deviates substantially from the statistical properties of existing data. Detection of this kind of problem requires comparing individual data items to a large amount of existing data

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Sepeda, Adrian L. "Lessons learned from process incident databases and the process safety incident database (PSID) approach sponsored by the Center for Chemical Process Safety." Journal of Hazardous Materials 130, no. 1-2 (2006): 9–14. http://dx.doi.org/10.1016/j.jhazmat.2005.07.061.

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Maheshbhai Kansara. "The Role of Observability in Modern Cloud Database Architectures." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 2558–76. https://doi.org/10.32628/cseit25112709.

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This article examines the critical role of observability in modern cloud database architectures, where systems have become increasingly distributed, ephemeral, and complex. As organizations transition to cloud-native architectures, they face significant challenges in understanding system behavior, diagnosing performance bottlenecks, and ensuring reliability at scale. Observability emerges not as an operational afterthought but as a fundamental architectural consideration that must be integrated into cloud database deployments from inception. The article demonstrates that comprehensive observab

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Davies, Elin Mitford, Benjamin J. R. Buckley, Philip Austin, Gregory Y. H. Lip, Anirudh Rao, and Garry McDowell. "Cardiac Biomarkers Predict Major Adverse Cardiac Events (MACE) in Incident Haemodialysis Patients: Results from a Global Federated Database." Biomedicines 13, no. 2 (2025): 367. https://doi.org/10.3390/biomedicines13020367.

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Background: Despite its many advantages, haemodialysis (HD) has been shown to be associated with significant cardiovascular events, especially in patients commencing HD. Currently, there is no specific method to risk-stratify incident HD patients. Blood-based biomarkers provide insight into myocardial injury and stress. We aimed to evaluate the association of increased circulating biomarker concentration in incident HD with incident major adverse cardiac events (MACE). Methods: This was a retrospective cohort study of incident haemodialysis cases within 3 months of treatment initiation (≥18 ye

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Thomas, Natacha, and Bader Hafeez. "Simulation of an Arterial Incident Environment with Probe Reporting Capability." Transportation Research Record: Journal of the Transportation Research Board 1644, no. 1 (1998): 116–23. http://dx.doi.org/10.3141/1644-12.

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Intelligent transportation systems have created new traffic monitoring approaches and fueled new interests in automated incident detection systems. One new monitoring approach utilizes actual travel times experienced by vehicles, called probes, equipped to transmit this information in real time to a control center. The database needed to design and calibrate arterial incident detection systems based on probe travel times is nonexistent. A microscopic traffic simulation package, Integrated Traffic Simulation, was selected and enhanced to generate vehicle travel times for the incident and incide

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Vetrugno, Giuseppe, Federica Foti, Vincenzo M. Grassi, et al. "Malpractice Claims and Incident Reporting: Two Faces of the Same Coin?" International Journal of Environmental Research and Public Health 19, no. 23 (2022): 16253. http://dx.doi.org/10.3390/ijerph192316253.

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Incident reporting is an important method to identify risks because learning from the reports is crucial in developing and implementing effective improvements. A medical malpractice claims analysis is an important tool in any case. Both incident reports and claims show cases of damage caused to patients, despite incident reporting comprising near misses, cases where no event occurred and no-harm events. We therefore compare the two worlds to assess whether they are similar or definitively different. From 1 January 2014 to 31 December 2021, the claims database of Policlinico Universitario A. Ge

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Claudia, Marlene Prerana. "Using SQL for Managing Traffic Incident Data." Journal of Research and Review in Human Resource Management & Labour Studies 2, no. 2 (2025): 20–27. https://doi.org/10.5281/zenodo.14885819.

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<em>As the research subject, SQL performance and procedures are examined, with a focus on how it applies to managing data regarding traffic incidents in California’s 7 major areas. Infact, when designing a relational database, SQL makes it easier to sort data on traffic incident cases, the vehicles involved, weather conditions and responses made. This framework permits querying; thus it is possible to assess the traffic density, time, severity of the incident, and response.</em>

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Nunnally, Mark E., Valerie L. Brunetti, John Gosbee, John J. Crowley, and Richard I. Cook. "Features of Infusion Device Related Incidents Revealed by Systematic Analysis of an Incident Reporting Database." Anesthesiology 96, Sup 2 (2002): A1073. http://dx.doi.org/10.1097/00000542-200209002-01073.

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Mak, Chin Long, and H. S. L. Fan. "Enhancement of Automatic Incident Detection Algorithms for Singapore's Central Expressway." Transportation Research Record: Journal of the Transportation Research Board 1923, no. 1 (2005): 144–52. http://dx.doi.org/10.1177/0361198105192300116.

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Timely detection of accidents, vehicle breakdowns, and events that obstruct normal traffic flow is critical to successful implementation of an incident management system in combating traffic congestion along expressways. The purpose of this study is to enhance the performance of existing expressway automatic incident detection algorithms in detecting lane-blocking incidents. In this study, a video-based vehicle detector system was used along the Central Expressway (CTE) in Singapore to collect 160 incidents. Two main tasks were carried out with the CTE incident database to investigate factors

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Lu, Yinghui, Zhiyuan Jiang, Kultegin Aydin, Johannes Verlinde, Eugene E. Clothiaux, and Giovanni Botta. "A polarimetric scattering database for non-spherical ice particles at microwave wavelengths." Atmospheric Measurement Techniques 9, no. 10 (2016): 5119–34. http://dx.doi.org/10.5194/amt-9-5119-2016.

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Abstract. The atmospheric science community has entered a period in which electromagnetic scattering properties at microwave frequencies of realistically constructed ice particles are necessary for making progress on a number of fronts. One front includes retrieval of ice-particle properties and signatures from ground-based, airborne, and satellite-based radar and radiometer observations. Another front is evaluation of model microphysics by application of forward operators to their outputs and comparison to observations during case study periods. Yet a third front is data assimilation, where a

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Smith, Bryan. "IRID: Ionising Radiations Incident Database (First Review of Cases Reported and Operation of the Database)." Journal of Radiological Protection 20, no. 1 (2000): 93. http://dx.doi.org/10.1088/0952-4746/20/1/703.

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Rabilloud, M., C. Colin, R. Ecochard, and C. M. Couris. "Two-Phase Study to Assess the Number of Cases Based on Claims Databases: Characteristics of the Validation Data Set." Methods of Information in Medicine 41, no. 04 (2002): 349–56. http://dx.doi.org/10.1055/s-0038-1634393.

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Summary Objective: In a two-phase study design, the characteristics of an external data set were studied for precision and bias of the number of incident or prevalent cases of a disease obtained from claims databases. Methods: In the study population (first phase), incident or prevalent cases were counted whereas external data (second phase) provided sensitivity and specificity estimates to count cases in a claims database. Influence of potential differences in sensitivity and specificity between the two phases were evaluated. This was illustrated for 50-90% sensitivity and 99-99.99% specifici

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Schwartz, Theresa Lynn, Lorinette Wirth, Laurence Diggs, and Leslie J. Hinyard. "Breast cancer incidence according to age, race, and hormone receptor subtype: A SEER database analysis." Journal of Clinical Oncology 35, no. 15_suppl (2017): e13059-e13059. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.e13059.

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e13059 Background: While incidence rates of breast cancer have been shown to vary based on age and race, hormone receptor (HR) subtype is an important prognostic indicator and it is unclear to what extent HR subtype varies across age and race. Identifying breast cancer at an early stage, especially in the more aggressive subtypes, correlates with improved overall outcomes. In this study we sought to examine the distribution age, race, within HR subtype in women diagnosed with incident breast cancer. Methods: Data from the SEER registry, years 2010-2013, was queried to produce race stratified a

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Kwon, Hyuk Sung, Yong Whi Jeong, Seung Hyun Kim, et al. "Annual Incidence of Dementia from 2003 to 2018 in Metropolitan Seoul, Korea: A Population-Based Study." Journal of Clinical Medicine 11, no. 3 (2022): 819. http://dx.doi.org/10.3390/jcm11030819.

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National dementia plans were applied in dementia support centers established in Seoul, Korea between 2007 and 2009. However, the annual incidence rates of dementia in Seoul have not been reported. We investigated this annual incidence and the characteristics of incident cases from 2003 to 2018. The customized research database of the Korean National Health Insurance Services was used. The annual crude and age-standardized incidence of dementia patients and their characteristics were analyzed. This study analyzed 108,596 incident dementia cases aged ≥60 years. The incidence rate increased from

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Staender, S., J. Davies, B. Helmreich, B. Sexton, and M. Kaufmann. "The anaesthesia critical incident reporting system: an experience based database." International Journal of Medical Informatics 47, no. 1-2 (1997): 87–90. http://dx.doi.org/10.1016/s1386-5056(97)00087-7.

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Gomez, Manuel R., Susan Casper, and E. Allen Smith. "The CSB Incident Screening Database: Description, summary statistics and uses." Journal of Hazardous Materials 159, no. 1 (2008): 119–29. http://dx.doi.org/10.1016/j.jhazmat.2007.07.122.

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Ford, E. C., L. Fong de Los Santos, T. Pawlicki, S. Sutlief, and P. Dunscombe. "Consensus recommendations for incident learning database structures in radiation oncology." Medical Physics 39, no. 12 (2012): 7272–90. http://dx.doi.org/10.1118/1.4764914.

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Jang, S. H., J. W. Chea, and K. B. Lee. "Charlson comorbidity index using administrative database in incident PD patients." Clinical Nephrology 73, no. 03 (2010): 204–9. http://dx.doi.org/10.5414/cnp73204.

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Zhou, Zhipeng, Qiming Li, and Weiwei Wu. "Developing a Versatile Subway Construction Incident Database for Safety Management." Journal of Construction Engineering and Management 138, no. 10 (2012): 1169–80. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000518.

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Qiu, Jianrong, David B. Logan, Jennifer Oxley, and Christopher Lowe. "Application of a Hurdle Model with Random Effects to Explore the Relationship between Operational Characteristics and Safety Performance." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 8 (2020): 327–37. http://dx.doi.org/10.1177/0361198120928074.

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This study used the bus incident data in Victoria, Australia to establish the relationship between operational characteristics and the safety performance of bus operators. A series of count models were investigated to account for methodological challenges, including excess zeros and panel data structure. The empirical results highlighted the different effects operational characteristics had on the risk and prevalence of bus incidents. Operators of smaller size, providing non-route services and operating in regional areas had a lower risk of having any reported incidents compared with larger ro

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Nilsson, H., R. Lundin, E. Bengtsson, L. Gustafsson, C. Jonsson, and T. Vikström. "(P2-14) Support System for Medical Command and Control at Major Incidents." Prehospital and Disaster Medicine 26, S1 (2011): s140. http://dx.doi.org/10.1017/s1049023x11004584.

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IntroductionCommunication and information are cornerstones of management during major incidents and disasters. To support medical command and control, the Web-based support system called Paratus Major Incident can be used. The Paratus Major Incident system can provide management staff with online information from the incident area, and support management and patient handling at both single and mass-casualty incidents. The purpose of the Web-based information technology (IT) system is to ensure communication and information between the medical management at the scene, hospital management, and r

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Nurdin, Deasy Amelia, and Adik Wibowo. "BARRIERS TO REPORTING PATIENT SAFETY INCIDENT IN HEALTHCARE WORKERS: INTEGRATIVE LITERATURE REVIEW." Jurnal Administrasi Kesehatan Indonesia 9, no. 2 (2021): 210. http://dx.doi.org/10.20473/jaki.v9i2.2021.210-217.

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Background: The patient safety incident reporting systems is designed to improve the health care by learning from mistakes to minimize the recurrence mistakes, however the reporting rate is low.Aims: Integrative literature review was chosen to identify and analyze the barriers of reporting patient safety incidents by Health Care Workers (HCWs) in hospital.Methods: Searching for articles in electronic database consisting of Medline, CINAHL and Scopus resulted in 11 relevant articles originating from 9 countries.Results: There are differences but similar in barriers to reporting patient safety i

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Palojoki, Sari, Kaija Saranto, and Lasse Lehtonen. "Reporting medical device safety incidents to regulatory authorities: An analysis and classification of technology-induced errors." Health Informatics Journal 25, no. 3 (2017): 731–40. http://dx.doi.org/10.1177/1460458217720400.

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The European Union Medical Device Directive 2007/47/EC1 defines software with a medical purpose as a medical device. The implementation of health information technology suffers from patient safety problems that require effective post-market surveillance. The purpose of this study was to review, classify and discuss the incident data submitted to a nationwide database of the Finnish National Competent Authority with other forms of data. We analysed incident reports submitted to the authority database by users of electronic health records from 2010 to 2015. We identified 138 valid reports. Adver

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Kapp, E. Andrew, David S. Wroth, and J. Thomas Chapin. "Analysis of Thermal Runaway Incidents Involving Lithium Batteries in U.S. Commercial Aviation." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 11 (2020): 584–92. http://dx.doi.org/10.1177/0361198120947711.

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Thermal runaway incidents involving lithium batteries as cargo, in luggage, or as personal property in the cabin have been associated with fatalities, the destruction of cargo, and even the loss of entire aircraft. This research represents the first examination of the incidence of lithium battery thermal runaway incidents involving a variety of rechargeable lithium-ion and lithium metal batteries on commercial flights in the U.S.A. The objective is to examine the occurrence of these thermal runaway incidents and the circumstances surrounding them from the best available data source, the Pipeli

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Erensen, MPH, Jennifer G., J. David Haddox, DDS, MD, Maigh S. Attre, and Luis N. Bauza, MS, CPP. "Pharmacy-related theft of controlled substances: RxPATROL® findings." Journal of Opioid Management 14, no. 5 (2018): 373–80. http://dx.doi.org/10.5055/jom.2018.0469.

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Objective: To characterize pharmacy-related theft data reported to the Rx Pattern Analysis Tracking Robberies and Other Losses (RxPATROL®) database during the time periods before (2007-2010) and after (2011-2016) the August 2010 switch to reformulated OxyContin® (oxycodone hydrochloride) extended-release tablets (Purdue Pharma L.P.).Methods: The RxPATROL® database was queried to identify characteristics associated with theft of drug products. Variables analyzed included incident counts, drugs involved (OxyContin or other oxycodone products), pharmacy-security features, and other incident-relat

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