scholarly journals Launching a Risk Assessment Project

2018 ◽  
Vol 2 ◽  
pp. e27286
Author(s):  
Gretchen Anderson ◽  
Marion Burgwin ◽  
Suzanne McLaren

In 2017 Carnegie Museum of Natural History (CM) received funding from the Institute for Museum and Library Services (IMLS) to conduct a risk assessment for collections. CM had already conducted two general conservation surveys (1989 and 2010) and an environmental survey (2011), all funded by IMLS. The next logical step was to do a risk assessment. The initial planning was done through the development of a funding proposal. Both the concept and the process had to be supported by administration and staff, which was ensured up front through the development of the grant application. At the time, we were fortunate enough to have a new administration that supported this project as a logical step toward developing a long-term collection care strategy. In the application we identified the most experienced subject matter expert as a consultant (R. R. Waller, Project Heritage Inc.). Waller has a longstanding relationship with CM, having been part of the core team in the general conservation surveys. Waller worked closely with the grant application team to develop the project schedule and internal team. Additionally, the grant application proposed the use of Waller's Cultural Property Risk Analasys Model (CPRAM) to assess our risks. One key element in developing the proposal was the acknowledgment of limited staff time. This was solved by including money to hire a Collections Associate dedicated to the project, full time for the two-year duration of the project. There is a steep learning curve for the process. Having this "gatekeeper" to manage the data being gathered maintains consistencey and focuses adequate staff time to keep the project moving forward. The overall goal of the project is to identify risks to the collections in a quantifiable manner. Using these data we will prioritize those risks and subsequently develop reasonable strategies to reduce the risks. This project will inform the overall strategic plan currently being developed for CM. By strategically including a few non-collection staff in the project, the risk assessment work will also promote better understanding and communication of collection concerns across the museum and our parent organization. This poster examines the initial phase of the two-year project. It demonstrates how we, at CM, are approaching the organization of the CPRAM, training staff, and beginning this complex project.

Author(s):  
Svetlana A. Gordeeva ◽  
A.Yu. Zolotarev ◽  
M.G. Movsisyan ◽  
A.V. Rozinko

Objective. Assessment of bacterial identification effectiveness in clinical microbiology laboratory using the MALDI-MS based system BactoSCREEN. Materials and Methods. Bacteriological testing was done by the cultivation on Сolumbia agar with 5% of sheep blood (at 37°C for 24 hours). Colonies for identification were selected based on their growth pattern, type of hemolysis, morphology and consistency. The species identification was done by the MALDI-MS using the microbiology analyzer BactoSCREEN. Apart from MALDI-MS, we used morphology and biochemical methods for species identification when necessary. Serological tests were used for serovar and biovar identifications. Results. A total of 85945 bacterial identifications was performed in 2018. When compared to 2017, the throughput of the laboratory increased ten times. A total of 23252 isolates were obtained in the previously mentioned period. A single identification took 2.98–13.22 minutes including time for supporting procedures, whereas the staff time for one identification itself constituted an average of 1.55 minutes. When compared to manual methods, introduction of mass-spectrometry allowed us to achieve 3.5-fold decrease of the staff time in the average. Therefore, annual labor saving in terms of staffing corresponds to 11 full-time positions. Conclusions. In view of high throughput, analysis speed, simplicity and low cost of sample preparation, MALDI-MS identification fits well into the practice of clinical microbiology laboratory, especially when large-scale screening studies of bacterial cultures are required. The use of MALDI-MS is likely to be most promising when carrying out microbiological monitoring that is traditionally associated with large number of samples and wide range of microorganisms detected.


Author(s):  
Sherif S. Hassanien ◽  
Jason B. Skow

Despite vigilant efforts in project scheduling and planning by engineers and project managers, recent market research reported a marked decrease in project success rates. The market research tracked projects across a broad range of industries and concluded the primary failure causes to be a lack of sufficient detail in the project planning stage, poor or no risk analysis, scope creep and poor communication. This paper focuses on a strategy to minimize the first cause. Specifically, how to obtain sufficient schedule and resource estimates to better predict time allocation and expected costs with a focus on capital pipeline projects. To this end, a quantitative risk assessment (QRA) methodology is applied to project schedules allowing the uncertainty of key task durations and/or costs to be fully accounted for in the schedule. Projects managers will be able to quantify the uncertainty in their projects and support decision makers with a more accurate prediction of the likelihood of being on time and on budget. This paper introduces a systematic approach for both aleatory and epistemic uncertainty quantification. In addition, the expected benefits of adopting QRA for projects schedules are discussed through a hypothetical simple project schedule from the pipeline industry.


2021 ◽  
Vol 13 (14) ◽  
pp. 7830
Author(s):  
Min-Yuan Cheng ◽  
Mohammadzen Hasan Darsa

Construction project schedule delay is a worldwide concern and especially severe in the Ethiopian construction industry. This study developed a Construction Schedule Risk Assessment Model (CSRAM) and a management strategy for foreign general contractors (FGCs). 94 construction projects with schedule delay were collected and a questionnaire survey of 75 domain experts was conducted to systematically select 22 risk factors. In CSRAM, the artificial neural network (ANN) inference model was developed to predict the project schedule delay. Integrating it with the Garson algorithm (GA), the relative weights of risk factors with rankings were calculated and identified. For comparison, the Relative Importance Index (RII) method was also applied to rank the risk factors. Management strategies were developed to improve the three highest-ranked factors identified using the GA (change order, corruption/bribery, and delay in payment), and the RII (poor resource management, corruption/bribery, and delay in material delivery). Moreover, the improvement results were used as inputs for the trained ANN to conduct a sensitivity analysis. The findings of this study indicate that improvements in the factors that considerably affect the construction schedule can significantly reduce construction schedule delays. This study acts as an important reference for FGCs who plan to enter or work in the Ethiopian construction industry.


2020 ◽  
Vol 13 (Suppl_1) ◽  
Author(s):  
Eliana Biundo ◽  
David Lanctin ◽  
Sarah C Rosemas ◽  
Emmanuelle Nicolle ◽  
Alan Burke

Background: As cardiac implantable electronic devices (CIEDs) have increased in complexity and sophistication, a transition from in-person follow-up to remote device management has taken place. The amount of information collected via cardiac devices has also increased, making the development of efficient workflows necessary for operational sustainability. Vendor-neutral clinic management software organizes patient, device, and programmer information, and thus has potential to improve remote monitoring workflow and data management. This study sought to examine whether management software use is associated with reduced time to review manage remote transmissions. Methods: A time and motion workflow analysis was performed in 6 U.S. cardiac device clinics, 3 of which use management software (Medtronic Paceart Optima™). Participating sites had an average size of 4,217 (range of 870 to 10,336) CIED patients managed. Each step involved in remote transmission review (including all clinical and administrative tasks, such as chart documentation and billing) was repeatedly timed, for all device models/manufacturers, during one business week (5 days) of observation at each clinic. The time to review an average remote transmission was calculated based on the mean time to perform each step as well as published literature, and stratified by sites with or without management software. Annual staff time required for remote monitoring was modeled by multiplying the average remote transmission review time by the average number of annual transmissions per patient across the 6 sites: 16.1 transmissions/year, representing a weighted average of therapeutic cardiac devices (4.2 transmissions/year) and insertable cardiac monitors (38.9 transmissions/year). Results: A total of 1,290 remote transmission review activities (725 with management software; 565 without management software) were observed and measured during 6 weeks of data collection. On average, the total staff time to review a remote transmission was 2.1 minutes lower at sites with management software (13.6 vs. 11.5 minutes). Extrapolated to the average clinic size of 4,217 patients, this translates into a potential annual time savings of 2,329 hours for sites with management software (13,026 vs. 15,355 hours of total transmission review time). This represents collective time savings across all clinical and administrative staff, and equates to 1.24 annual full-time equivalents (6.9 vs. 8.2 full-time equivalents). Conclusion: Remote monitoring of CIED patients requires significant staff time in cardiac device clinics. Management software is an effective tool in optimizing management of remotely monitored patients, and these benefits may translate into time savings for cardiac device clinics.


Author(s):  
Meghan E Dueck ◽  
Ata Rafiee ◽  
James Mino ◽  
Sindhu G Nair ◽  
Samineh Kamravaei ◽  
...  

Abstract Welding fumes vary in composition depending on the materials and processes used, and while health outcomes in full-time welders have been widely studied, limited research on apprentices exists. Besides, few data are available for metals such as vanadium and antimony. This study aimed to look at individual metals present in welding fumes in the learning environment of apprentice welders. Forty-three welders and 41 controls were chosen from trade programmes at the Northern Alberta Institute of Technology. Ambient and personal air samples were collected at days 0, 1, 7, and 50 of their training and analysed for mass and metal concentrations using Inductively Coupled Plasma Mass Spectrometry. Results showed increases in particle and metal concentrations as apprentices progressed throughout their education and that concentrations at day 50 were similar to levels found in the literature for professional welders. Variable concentrations indicate that some individuals may not properly use the local exhaust ventilation system. Other possible explanation for variations are the position of the sampler on the shoulder, the time spent welding and in each welding position, and the skills of the welders. Strong relationships were observed between particle and metal concentrations, suggesting that these relationships could be used to estimate metal exposure in welders from particle exposure. Welding processes were the most important determinant of exposure in apprentice welders, with Metal Core Arc Welding producing the largest particle concentrations followed by oxyacetylene cutting, and Gas Metal Arc Welding. Health risk assessment showed that welder apprentices are at risk for overexposure to manganese, which suggests that professional welders should be monitored for manganese as they are exposed more than apprentices. Training in proper positioning of local exhaust ventilation system and proper use of respirators are recommended in training facilities.


2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e16510-e16510
Author(s):  
Stephen L. Sherman ◽  
Beth Crawford ◽  
Karen Giammicchio ◽  
Lisa Kimbro ◽  
Agnes Masny ◽  
...  

e16510 Background: In 2010 NCCN conducted a Risk Assessment and Genetic Counseling (RA/GC) study focused on the operational aspects of RA/GC programs and services at NCCN Member Institutions (MIs). The primary aims were benchmarking of RA/GC operations and practice patterns. Methods: A survey instrument was developed by NCCN staff in consultation with RA/GC leaders at NCCN MIs. The survey collected quantitative and descriptive data on RA/GC program organization, staffing, and patient volume and also included questions on patient referral, test disclosure, and program funding. Results: 19/21 (90%) NCCN MIs participated. The mean number of patients seen annually for 17 MIs reporting data was 872 (range 130 – 2,200). The mean number of patients seen annually per 1.0 genetic counseling full-time equivalent was 272 (range 152 – 422). RA/GC services are made available to patients by scheduled appointment only at 5 MIs (26%) versus by appointment or with on-call genetic counselors at 14 MIs (74%). However, 11/19 (58%) MIs reported the time between initial patient contact and appointment was greater than 2 weeks. Self-sufficient RA/GC program funding was consistently cited by survey respondents as one of the greatest challenges, with 18 MIs indicating that they require institutional support, whereas only 11 indicated that reimbursement from third-party payors contributed to funding. Pertaining to disclosure, respondents estimated that 48% of test results were disclosed to patients via telephone and 39% in-person. The remaining disclosures were made based on patient preference. Conclusions: The availability of on-call RA/GC resources at most NCCN MIs likely indicates an effort to increase the number of patients that receive RA/GC services, but based on times to first appointment, access remains an issue. The 2011 recommendations of the National Society of Genetic Counselors state that the disclosure of test results in-person is often very helpful. However, the percentage given by telephone remains substantial. Dissemination of RA/GC benchmark data and identification of best practices will promote enhanced operations and patient access at NCCN MIs.


2013 ◽  
Vol 712-715 ◽  
pp. 3165-3168
Author(s):  
Chao Hui Wang ◽  
Jun Lu

Aerospace engineering projects usually require a huge investment and a long construction period. For this reason, a risk management method is proposed for the project schedule of aerospace engineering. In total, it is necessary to make a risk assessment and analysis on construction schedule before project implementation.


Author(s):  
Lynne Siemens ◽  
The INKE Research Group

University-industry partnerships are common in the Sciences, but less so in the Humanities. As a result, there is little understanding of how they work in the Humanities. Using the Implementing New Knowledge Environments: Networked Open Social Scholarship (INKE:NOSS) initiative as a case study, this paper contributes to this discussion by examining the nature of the university-industry partnership with libraries and academic-adjacent organizations, and associated benefits, challenges, measures of success, and outcomes. Interviews were conducted with the collaboration’s industry partners. After several years of collaboration on the development of a grant application, industry partners have found the experience of working with academics to be a positive one overall. Industry partners are contributing primarily in-kind resources in the form of staff time, travel to meetings, and reading and commenting on documents. They have also been able to realize benefits while negotiating the challenges. Using qualitative standards, measures of success and desired outcomes are being articulated. This work developing the partnership should stand the larger INKE:NOSS team in good stead if they are successful with securing grant funding.


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