scholarly journals SURVEY ON ROBOT PROCESS AUTOMATION APPLICATION IN VARIOUS INDUSTRIES

2019 ◽  
Vol 1 (02) ◽  
pp. 113-122
Author(s):  
Ranganthan G ◽  
Smys S
Keyword(s):  
Resource Utilization ◽  
Cost Savings ◽  
Digital Transformation ◽  
Industrial Processes ◽  
Process Automation ◽  
Robotic Process Automation ◽  
Vital Part ◽  
Non Invasive ◽  
The Cost

The Robotic Process automation (RPA) plays a vital part in the digital transformation scheme in maximum number of the organizations as they provide numerous of benefits over the conventional automation solutions that are out dated. The RPA provides an increased accuracy and productivity in the industries ensuring the cost savings and the reduced resource utilization with the technical barriers that are non-invasive. The paper presents the survey on the application of robot process automation in various industrial processes and the over view of the benefits in using the RPA.

Enabling Digital Transformation Through Cognitive Robotic Process Automation at Deutsche Telekom Services Europe

2021 ◽  
pp. 123-138
Author(s):  
Christian Czarnecki ◽  
Chin-Gi Hong ◽  
Manfred Schmitz ◽  
Christian Dietze
Keyword(s):  
Digital Transformation ◽  
Process Automation ◽  
Robotic Process Automation ◽  
Cognitive Robotic

scholarly journals High-throughput non-invasive prenatal testing for fetal rhesus D status in RhD-negative women not known to be sensitised to the RhD antigen: a systematic review and economic evaluation

2018 ◽  
Vol 22 (13) ◽  
pp. 1-172 ◽  
Author(s):  
Pedro Saramago ◽  
Huiqin Yang ◽  
Alexis Llewellyn ◽  
Ruth Walker ◽  
Melissa Harden ◽  
...  
Keyword(s):  
Cost Saving ◽  
Diagnostic Accuracy ◽  
High Throughput ◽  
White Women ◽  
De Novo ◽  
Cost Savings ◽  
Prenatal Testing ◽  
Clinical Effectiveness ◽  
Non Invasive ◽  
The Cost

BackgroundHigh-throughput non-invasive prenatal testing (NIPT) for fetal rhesus (D antigen) (RhD) status could avoid unnecessary treatment with routine anti-D immunoglobulin for RhD-negative women carrying a RhD-negative fetus, although this may lead to an increased risk of RhD sensitisations.ObjectivesTo systematically review the evidence on the diagnostic accuracy, clinical effectiveness and implementation of high-throughput NIPT and to develop a cost-effectiveness model.MethodsWe searched MEDLINE and other databases, from inception to February 2016, for studies of high-throughput NIPT free-cell fetal deoxyribonucleic acid (DNA) tests of maternal plasma to determine fetal RhD status in RhD-negative pregnant women who were not known to be sensitised to the RhD antigen. Study quality was assessed with the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) and A Cochrane Risk of Bias Assessment Tool: for Non-Randomised Studies of Interventions (ACROBAT-NRSI). Summary estimates of false-positive rates (FPRs) and false-negative rates (FNRs) were calculated using bivariate models. Clinical effectiveness evidence was used to conduct a simulation study. We developed a de novo probabilistic decision tree-based cohort model that considered four alternative ways in which the results of NIPT could guide the use of anti-D immunoglobulin antenatally and post partum. Sensitivity analyses (SAs) were conducted to address key uncertainties and model assumptions.ResultsEight studies were included in the diagnostic accuracy review, seven studies were included in the clinical effectiveness review and 12 studies were included in the review of implementation. Meta-analyses included women mostly at or post 11 weeks’ gestation. The pooled FNR (women at risk of sensitisation) was 0.34% [95% confidence interval (CI) 0.15% to 0.76%] and the pooled FPR (women needlessly receiving anti-D) was 3.86% (95% CI 2.54% to 5.82%). SAs did not materially alter the overall results. Data on clinical outcomes, including sensitisation rates, were limited. Our simulation suggests that NIPT could substantially reduce unnecessary use of antenatal anti-D with only a small increase in the risk of sensitisation. All large implementation studies suggested that large-scale implementation of high-throughput NIPT was feasible. Seven cost-effectiveness studies were included in the review, which found that the potential for the use of NIPT to produce cost savings was dependent on the cost of the test. Our de novo model suggested that high-throughput NIPT is likely to be cost saving compared with the current practice of providing routine antenatal anti-D prophylaxis to all women who are RhD negative. The extent of the cost saving appeared to be sufficient to outweigh the small increase in sensitisations. However, the magnitude of the cost saving is highly sensitive to the cost of NIPT itself.LimitationsThere was very limited evidence relating to the clinical effectiveness of high-throughput NIPT, with no evidence on potential adverse effects. The generalisability of the findings to non-white women and multiple pregnancies is unclear.ConclusionsHigh-throughput NIPT is sufficiently accurate to detect fetal RhD status in RhD-negative women from 11 weeks’ gestation and would considerably reduce unnecessary treatment with routine anti-D immunoglobulin, potentially resulting in cost savings of between £485,000 and £671,000 per 100,000 pregnancies if the cost of implementing NIPT is in line with that reflected in this evaluation.Future workFurther research on the diagnostic accuracy of NIPT in non-white women is needed.Study registrationThis study is registered as PROSPERO CRD42015029497.FundingThe National Institute for Health Research Health Technology Assessment programme.

Skills and competencies for digital transformation – a critical analysis in the context of robotic process automation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dennis Schlegel ◽  
Patrick Kraus
Keyword(s):  
Design Methodology ◽  
Digital Transformation ◽  
Process Automation ◽  
Content Type ◽  
Employment Effects ◽  
Robotic Process Automation ◽  
General Importance ◽  
Job Advertisements ◽  
Digital Skills ◽  
Technological Developments

Purpose Digital transformation of organizations has major implications for required skills and competencies of the workforce, both as a prerequisite for implementation, and, as a consequence of the transformation. The purpose of this study is to analyze required skills and competencies for digital transformation using the context of robotic process automation (RPA) as an example. Design/methodology/approach This study is based on an explorative, thematic coding analysis of 119 job advertisements related to RPA. The data was collected from major online job platforms, qualitatively coded and subsequently analyzed quantitatively. Findings The research highlights the general importance of specific skills and competencies for digital transformation and shows a gap between available skills and required skills. Moreover, it is concluded that reskilling the existing workforce might be difficult. Many emerging positions can be found in the consulting sector, which raises questions about the permanent vs temporary nature of the requirements, as well as the difficulty of acquiring the required knowledge. Originality/value This paper contributes to knowledge by providing new empirical findings and a novel perspective to the ongoing discussion of digital skills, employment effects and reskilling demands of the existing workforce owing to recent technological developments and automation in the overall context of digital transformation.

scholarly journals Robotic Process Automation — a driver of digital transformation?

2020 ◽  
Vol 12 (2) ◽  
pp. 21-31
Author(s):  
Julia Siderska
Keyword(s):  
Business Processes ◽  
Digital Transformation ◽  
Service Industries ◽  
Innovative Technology ◽  
Process Automation ◽  
Productivity Costs ◽  
Robotic Process Automation ◽  
Market Trends ◽  
New Research ◽  
Further Development

AbstractThe paper introduces Robotic Process Automation (RPA), which is an emerging and cutting-edge conception of business processes automation, based on the notion of software robots or artificial intelligence workers. The paper is conceptual as it discusses the fundamentals behind this idea, synthesises the knowledge of technology, and presents it in a new context. It is based on the author's considerations and the literature review, which contributes to the insight into the basic understanding of RPA technology as well as systematises and clarifies RPA definitions, identifies market trends, formulates a set of predictions for further development of this technology, and highlights directions for future inquiry. Additionally, logical arguments are proposed for considering RPA as a technology that enables and advances digital transformation. Moreover, criteria are indicated for business processes suitable for RPA. Nowadays, the robotisation of business processes a s innovative technology is more often practically implemented than it is investigated by research. Published papers outline real examples of implemented cases of RPA technology in organisations that mainly represent service industries. These case studies allow identifying possible advantages and risks derived from RPA implementation. Recent studies also report benefits of the RPA application in terms of productivity, costs, service quality, and error reduction. Some authors propose the criteria for selecting processes suitable for automation and robotisation. This paper constitutes a foundation for new research aimed at filling knowledge gaps in this area. Responding to the call by van der Aalst, academic discourse on RPA must be initiated.

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