scholarly journals SMM-technologies in the promotion of a commercial company

Author(s):  
Violetta Viktorovna Norchenko ◽  
Keyword(s):  
2020 ◽  
Vol 41 (S1) ◽  
pp. s484-s485
Author(s):  
Raghavendra Tirupathi ◽  
Ruth Freshman ◽  
Norma J Montoy ◽  
Melissa Gross

Background: Distinguishing active Clostridioides difficile infection (CDI) from asymptomatic colonization remains a challenging task in the era of PCR testing. Inappropriate testing leads to overtesting and overdiagnosis, inadvertent treatment, and isolation in addition to laboratory identified (LabID) events, leading to increased incidence to hospital-onset CDI (HO-CDI). The institution has a nurse-driven C. difficile test ordering protocol, and we noted a significant increase in the HO-CDI incidence in 2017 due to inappropriate testing, with rates as high as 0.94 per 1,000 patient days. Methods: In September 2017, a multidisciplinary team reviewed and initiated algorithm-based testing with mandatory audit and review by infection preventionists (IPs) under the guidance of an ID physician of all ordered tests. They reviewed the adequacy and legitimacy of order for multiple parameters, including minimum 3 loose stools in 24 hours, use of laxatives in last 24 hours, consistency of the sample, presence of at least 1 clinical parameters (ie, fever, abdominal pain, leukocytosis, sepsis, or septic shock), recent or concomitant antibiotic use, recent PCR testing in the last 14 days, and chart review for medical and/or surgical history. The IPs served as the gatekeepers to testing and rejected the samples that were deemed inappropriate. Ambiguous cases were discussed with the ID specialist. On the microscope lab side, all specimens sent were batched to be run twice a day at 8:30 a.m. and 2:30 p.m., and testing was performed only on the samples cleared by infection preventionists. Results: The number of PCR tests completed in the comparison quarter of 2016 was 220, which decreased to 157 tests in 2017 with a reduction of 28%. After a full year of implementation of the diagnostic stewardship protocol, the number of completed PCR tests decreased to 626 from 940 PCR tests in 2016, with an overall 34% decrease in testing. In the year following the implementation of diagnostic stewardship, HO-CDI decreased from 60 events in 2017 to 43 events in 2018, with a reduction of 28%. Subsequently, HO-CDI further decreased in 2019 from 43 to 28, with a reduction of 35%. Since the implementation of the project in 2017, HO-CDIs have decreased by 54% overall. The reduction in 314 C. difficile PCR tests in the first year led to a savings of $8,300 in laboratory testing supplies. The reduction of HO CDI by 17 led to cost avoidance of $293,420. Conclusions: Our experience shows that the IP-run diagnostic stewardship program was highly successful in streamlining testing, with cost savings on several fronts.Funding: NoneDisclosures: NoneDisclosures:Commercial Company : If I am presenting research funded by a commercial company, the information presented will be based on generally accepted scientific principals and methods, and will not promote the commercial interest of the funding company.DisagreeRaghavendra Tirupathi


2020 ◽  
Vol 6 (3) ◽  
pp. 169-179
Author(s):  
R. S. Rogulin

This paper discusses the urgent problem of Russian graduates: job search after graduation. It is shown that, in connection with the growing population of the country due to migrants, the arrival of cheap labor from neighboring countries and other economic factors, the search for a decent job as a graduate remains a difficult and relevant problem in modern Russia. The result of this study can be considered as follows. It is shown that there is the possibility of decent earnings in the scientific field of activity when working with students. A mathematical model and an algorithm for simulating the demonstrated situation are developed. It is shown when a graduate should start searching for additional income and when he can catch up with the total amount of money paid if he went to work in a commercial company. This research is purely theoretical.


2016 ◽  
Vol 0 (135) ◽  
pp. 60-69
Author(s):  
Фатіма Магомедівна Ханієва
Keyword(s):  

1995 ◽  
Vol 48 (2) ◽  
pp. 227-233
Author(s):  
Peter Wright

During the last 5 years there has been a rapid growth in the market for electronic charts. All of the systems that currently use these charts, regardless of their size and complexity, have one thing in common: they are all officially classified as Electronic Chart Systems (ECS). By definition, these systems are not considered to be equivalent to conventional paper charts for the purposes of satisfying SOLAS regulations. For all vessels bound by these regulations, ECS cannot be used in place of paper charts. Consequently, it has been left to commercial companies to provide data for use in these systems. Such data have been of variable quality, and no commercial company currently provides a correction service that matches that provided by most hydrographic offices for paper charts.


Web Mining ◽  
2011 ◽  
pp. 355-372
Author(s):  
Juan M. Hernansaez

In this chapter we focus on the three approaches that seem to be the most successful ones in the Web usage mining area: clustering, association rules and sequential patterns. We will discuss some techniques from each one of these approaches, and then we will show the benefits of using METALA (a META-Learning Architecture) as an integrating tool not only for the discussed Web usage mining techniques, but also for inductive learning algorithms. As we will show, this architecture can also be used to generate new theories and models that can be useful to provide new generic applications for several supervised and non-supervised learning paradigms. As a particular example of a Web usage mining application, we will report our work for a medium-sized commercial company, and we will discuss some interesting properties and conclusions that we have obtained from our reporting.


2008 ◽  
pp. 642-658
Author(s):  
Juan M. Hernansaez ◽  
Juan A. Botia ◽  
Antonio F.G. Skarmeta

In this chapter we focus on the three approaches that seem to be the most successful ones in the Web usage mining area: clustering, association rules and sequential patterns. We will discuss some techniques from each one of these approaches, and then we will show the benefits of using METALA (a META-Learning Architecture) as an integrating tool not only for the discussed Web usage mining techniques, but also for inductive learning algorithms. As we will show, this architecture can also be used to generate new theories and models that can be useful to provide new generic applications for several supervised and non-supervised learning paradigms. As a particular example of a Web usage mining application, we will report our work for a medium-sized commercial company, and we will discuss some interesting properties and conclusions that we have obtained from our reporting.


ESC CardioMed ◽  
2018 ◽  
pp. 3067-3071
Author(s):  
John G. F. Cleland ◽  
Ian Ford

This chapter is written primarily from the perspective of investigators with limited resources designing clinical trials to assess the effects of interventions on patient well-being and outcomes with the hope that the results might influence clinical practice and guidelines. Other perspectives should be taken into account. The advice may be less applicable when resources are abundant (e.g. phase III trials sponsored by a large commercial company). Much research is funded by commercial companies hoping for a return on investment; they will design clinical trials to increase the chance of a statistically positive result. Many investigators will do the same although their motivation may differ. However, practising clinicians, patients, and health services want trials that help inform their daily clinical practice rather than merely achieving statistical significance. Large studies may be statistically positive but of dubious practical significance. This chapter gives some general guidance on selecting patients, comparators, endpoints, and study design.


Sign in / Sign up

Export Citation Format

Share Document