Insurance payment for artificial intelligence technology: Methods used by a stroke artificial intelligence system and strategies to qualify for the new technology add-on payment

2022 ◽  
pp. 197140092110674
Author(s):  
Nick M Murray ◽  
Phillip Phan ◽  
Greg Hager ◽  
Andrew Menard ◽  
David Chin ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
New Technology ◽  
Rapid Change ◽  
Value Added ◽  
Stroke Care ◽  
Case Scenario ◽  
Intelligence System ◽  
Insurance Reimbursement ◽  
First Case ◽  
Artificial Intelligence Technology

The first ever insurance reimbursement for an artificial intelligence (AI) system, which expedites triage of acute stroke, occurred in 2020 when the Centers for Medicare and Medicaid Services (CMS) granted approval for a New Technology Add-on Payment (NTAP). Key aspects of the AI system that led to its approval by the CMS included its unique mechanism of action, use of robotic process automation, and clear linkage of the system’s output to clinical outcomes. The specific strategies employed encompass a first-case scenario of proving reimbursable value for improved stroke outcomes using AI. Given the rapid change in utilization of AI technology in stroke care, we describe the economic drivers of stroke AI systems in healthcare, focusing on concepts of reimbursement for value added by AI to the stroke care system. This report reviews (1) the successful approach used by the first NTAP-approved AI system, (2) economic variables in insurance reimbursement for AI, and (3) resultant strategies that may be utilized to facilitate qualification for NTAP reimbursement, which may be adopted by other AI systems used in stroke care.

scholarly journals A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jane Scheetz ◽  
Philip Rothschild ◽  
Myra McGuinness ◽  
Xavier Hadoux ◽  
H. Peter Soyer ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
New Zealand ◽  
Radiation Oncology ◽  
Online Survey ◽  
New Technology ◽  
Medical Liability ◽  
Healthcare Outcomes ◽  
Medical Workforce ◽  
Artificial Intelligence Technology ◽  
Workforce Needs

AbstractArtificial intelligence technology has advanced rapidly in recent years and has the potential to improve healthcare outcomes. However, technology uptake will be largely driven by clinicians, and there is a paucity of data regarding the attitude that clinicians have to this new technology. In June–August 2019 we conducted an online survey of fellows and trainees of three specialty colleges (ophthalmology, radiology/radiation oncology, dermatology) in Australia and New Zealand on artificial intelligence. There were 632 complete responses (n = 305, 230, and 97, respectively), equating to a response rate of 20.4%, 5.1%, and 13.2% for the above colleges, respectively. The majority (n = 449, 71.0%) believed artificial intelligence would improve their field of medicine, and that medical workforce needs would be impacted by the technology within the next decade (n = 542, 85.8%). Improved disease screening and streamlining of monotonous tasks were identified as key benefits of artificial intelligence. The divestment of healthcare to technology companies and medical liability implications were the greatest concerns. Education was identified as a priority to prepare clinicians for the implementation of artificial intelligence in healthcare. This survey highlights parallels between the perceptions of different clinician groups in Australia and New Zealand about artificial intelligence in medicine. Artificial intelligence was recognized as valuable technology that will have wide-ranging impacts on healthcare.

scholarly journals Use of artificial intelligence in last mile delivery

2021 ◽  
Vol 92 ◽  
pp. 04011
Author(s):  
Peter Jucha
Keyword(s):  
Artificial Intelligence ◽  
Driving Forces ◽  
Value Added ◽  
Allocation Of Resources ◽  
Existing Problems ◽  
Routing Optimization ◽  
Last Mile ◽  
Artificial Intelligence Technology ◽  
Last Mile Delivery ◽  
Vehicle Routing Optimization

Research background: Artificial intelligence is a term that is now known to almost everyone and is among the trends and innovations of Industry 4.0 for 2020. It is a much-discussed topic in the field of technology. Artificial intelligence and machine training are the driving forces across different industries. In many cases, artificial intelligence helps people in their work and simplifies it or even completely replaces the human workforce. Purpose of the article: The purpose of the article is to state how artificial intelligence can affect and solve existing problems in last mile delivery. For example, inefficiency is a major problem with last mile delivery because the last section of delivery usually involves a number of short-distance stops. However, a long waiting time for the customer to deliver the goods or incorrect allocation of resources and vehicles to the required areas can also be a problem. And it is artificial intelligence that should help solve such problems. Methods: Comparison, Empirical and retrospective analysis are used within the analysis of different modes of last-mile delivery. Findings & Value added: The research results shows the ways in which artificial intelligence can help solve problems in last mile delivery. Examples include The Vehicle Routing optimization (VRO), which aims to calculate the most optimal delivery route or artificial intelligence technology, which is used to interpret various events, manage data, and apply predictive intelligence.

Artificial Intelligence as Driver for SME Competitiveness

2021 ◽  
pp. 108-125
Author(s):  
Nicola Del Sarto ◽  
Andrea Piccaluga
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
New Technology ◽  
Four Dimensions ◽  
Artificial Intelligence Technology ◽  
Key Features ◽  
The Way

Artificial intelligence is profoundly changing the way in which companies compete and do business. In particular, artificial intelligence can represent a very interesting opportunity for small and medium-sized enterprises, which are constantly looking for new technologies to be able to remain competitive in a turbulent market. However, research exploring how SMEs may successfully adopt artificial intelligence technology are missing. To address this gap, the authors reviewed the literature on artificial intelligence and identified four key features that SMEs need to consider when implementing this technology represented by people, processes, products, and customers. After that they described four cases of Italian SMEs which have adopted successfully this new technology taking into account one of the four dimensions. The study contributes to the literature on artificial intelligence and SMEs and may be helpful for managers who want to adopt this technology within their company.

The Application of Agent Technique in E-Commerce

2010 ◽  
Vol 44-47 ◽  
pp. 3752-3756
Author(s):  
Hai Bin Zhang ◽  
Fang Yang Zhu ◽  
Nian Zhu
Keyword(s):  
Artificial Intelligence ◽  
Distributed Computing ◽  
Potential Field ◽  
Product Information ◽  
New Technology ◽  
Agent Technology ◽  
Network Technology ◽  
Advanced Stage ◽  
Complete Development ◽  
Artificial Intelligence Technology

As one of the most potential field in today’s society, E-Commerce is coruscating vigorous vitality. Development of the information and network technology provide possibility for some new technology in e-commerce application, the application of new technology will also promote e-commerce to a higher level, Agent technology is one of the new technology, it is a product with the complete development of distributed computing and artificial intelligence technology, it has the advantage of autonomy and initiative and provide structure fundament for advanced stage of e-commerce activities. The Agent technique made users on longer lost in the changing product information. Enterprise can provide personalized service vary from person to person when they faced a lot of users and fundamentally improved problems in e-commerce. It will promote the development of e-commerce.

Innovation of enterprise financial management based on machine learning and artificial intelligence technology

2020 ◽  
pp. 1-12
Author(s):  
Cao Yubo
Keyword(s):  
Artificial Intelligence ◽  
Financial Management ◽  
Route Planning ◽  
Value Added ◽  
Production Quality ◽  
Operating Efficiency ◽  
Exploratory Research ◽  
Modern Enterprise ◽  
Artificial Intelligence Technology ◽  
Effective Development

With the development of economic globalization, the competition between companies is increasing and becoming a norm. As one of the main value-added tools, financial management has greatly improved its position in business management. Traditional financial management is difficult to keep up with the pace of modern company management, which to a large extent hinders the effective development of enterprises. Therefore, under the current macroeconomic background, the necessity of studying financial management innovation has become more urgent. In this context, seeking innovation is not only a problem for enterprises, but also an important strategic goal of economic development and the concept of national modern enterprise development. Many studies have been carried out in the field of technological innovation, and few have focused on innovation in financial management. Exploratory research on the factors that affect the choice of financial management mode and route planning is important both in reality and in theory. It can help enterprises to gain greater competitive advantage through innovative financial management and improve their operating efficiency and production quality. This paper is based on learning. A research on the innovation of enterprise financial management is carried out on machine and artificial intelligence technology.

scholarly journals Topical issues of legal regulation of artificial intelligence in the implementation of state and municipal service in the Russian Federation

2021 ◽  
Vol 27 (2) ◽  
pp. 160-163
Author(s):  
Ivan N. Melnikov ◽  
Ivan A. Samakov
Keyword(s):  
Artificial Intelligence ◽  
Russian Federation ◽  
Legal Regulation ◽  
Public Authorities ◽  
Municipal Service ◽  
The Public ◽  
Intelligence System ◽  
Artificial Intelligence Technology ◽  
The Russian Federation

This paper discusses the current issues of legal regulation in the field of artificial intelligence in the state and municipal service in the Russian Federation in order to ensure and protect the rights and freedoms of man and citizen. The article highlights the current problems that arise in the implementation of certain state functions, such as – the work of state bodies with citizens' appeals and the lack of regulatory regulation of the use of artificial intelligence technology in this process, the use of which will contribute to meeting the deadlines for working with citizens' appeals, as well as increase the overall level of quality of interaction between citizens and public authorities. Specific measures are proposed for the development of legislation in order to introduce artificial intelligence in solving the problems facing the public authorities. The article formulates the main conclusion regarding the trend of using the artificial intelligence system in the issue under consideration.

Optimal system design of language training strategy based on artificial intelligence

2020 ◽  
pp. 1-11
Author(s):  
Jianling Guo ◽  
Jia Liu
Keyword(s):  
Artificial Intelligence ◽  
Speech Recognition ◽  
Foreign Students ◽  
Chinese Culture ◽  
New Technologies ◽  
New Technology ◽  
Rapid Development ◽  
Chinese Students ◽  
Training Strategy ◽  
Artificial Intelligence Technology

With the rapid development of China’s economy and the rapid increase in the number of Chinese learners in recent years, Chinese fever has become a common phenomenon in the global language exchange system. However, in the absence of foreign Chinese teachers at present, the development of Chinese new technology, this document uses the new computer technology to establish a Chinese teaching platform. The system is based on speech recognition technology to help foreigners learn spoken language, manuscript recognition technology and Chinese letters. foreign students in artificial intelligence technology, simulation of Chinese foreign education and training. The establishment of this system will not only help foreign students to solve the problem of Chinese learning successfully, but also make important contributions to the learning of Chinese students. Some new technologies, such as speech recognition, will be recognized by more and more Chinese students with the development of new technologies and the renewal of the system, and will make the greatest contribution to the promotion of Chinese culture.

scholarly journals Prospects of the Development of Artificial Intelligence in the World Arena

2020 ◽  
Vol 6 (2) ◽  
pp. 58-64
Author(s):  
N.S. Deshevykh ◽  
◽  
V.V. Yudaev ◽  
Keyword(s):  
Artificial Intelligence ◽  
Developed Countries ◽  
Intelligence System ◽  
Technological Potential ◽  
The World ◽  
Artificial Intelligence Technology ◽  
Technological Developments ◽  
The Third World ◽  
Political Governance ◽  
The Impact

today, the development of the artificial intelligence system determines a number of processes of an international nature. Earlier technological developments formed the internal technological potential of the country and did not go beyond the framework of the national state, but today artificial intelligence forms a spectrum of trends on the world stage. This article analyzes the impact of artificial intelligence on international relations, examined the possible risks and threats that countries may face as a result of the generation of artificial intelligence technology. The objective of the study is to investigate the possible prospects for the development of artificial intelligence systems, as well as the impact of the application of artificial intelligence technology on the world stage. It was found that the upcoming era of robotics entails, along with military and economic risks, radical changes in the field of global political governance. First of all, this is due to the fact that the possession of artificial intelligence technologies will finally bridge the gap between developed countries and the third world, and also make it insurmountable. In conclusion, the author proposed measures to minimize threats to the use of artificial intelligence technology on the world stage.

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