Fulfilling the Promise of Artificial Intelligence in the Health Sector: Let’s Get Real

2022 ◽  
Author(s):  
Tiago Cravo Oliveira Hashiguchi ◽  
Jillian Oderkirk ◽  
Luke Slawomirski
Keyword(s):  
Artificial Intelligence ◽  
Health Sector

scholarly journals Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study

10.2196/17620 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e17620 ◽  
Author(s):  
Rana Abdullah ◽  
Bahjat Fakieh
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Saudi Arabia ◽  
Health Sector ◽  
Employee Perceptions ◽  
Market Potential ◽  
Human Interaction ◽  
Survey Study ◽  
Health Care Information ◽  
Online Questionnaire

Background The advancement of health care information technology and the emergence of artificial intelligence has yielded tools to improve the quality of various health care processes. Few studies have investigated employee perceptions of artificial intelligence implementation in Saudi Arabia and the Arabian world. In addition, limited studies investigated the effect of employee knowledge and job title on the perception of artificial intelligence implementation in the workplace. Objective The aim of this study was to explore health care employee perceptions and attitudes toward the implementation of artificial intelligence technologies in health care institutions in Saudi Arabia. Methods An online questionnaire was published, and responses were collected from 250 employees, including doctors, nurses, and technicians at 4 of the largest hospitals in Riyadh, Saudi Arabia. Results The results of this study showed that 3.11 of 4 respondents feared artificial intelligence would replace employees and had a general lack of knowledge regarding artificial intelligence. In addition, most respondents were unaware of the advantages and most common challenges to artificial intelligence applications in the health sector, indicating a need for training. The results also showed that technicians were the most frequently impacted by artificial intelligence applications due to the nature of their jobs, which do not require much direct human interaction. Conclusions The Saudi health care sector presents an advantageous market potential that should be attractive to researchers and developers of artificial intelligence solutions.

Internet of Technological Transformation and Objects: I Robot Movie Analysis and Covid-19 Artificial Intelligence Robots

2021 ◽  
Author(s):  
Nimet Özsevinç
Keyword(s):  
Artificial Intelligence ◽  
New Media ◽  
Health Sector ◽  
Technological Transformation ◽  
Use Of Technology ◽  
The Social ◽  
Technological Means ◽  
Consumer Habits ◽  
Global Health Problem

With technological transformations, we change our roles with the machines in the present conditions of our sociological, psychological, economic, cultural structures. The use of technology widespread with the effect of capitalism increases our commitment to the technological tools we receive to the center of our lives. The social media revolution that has become a vital part with the new media causes us to integrate with technological means and shows that they have the power to change our communication forms. In particular, the binding of objects with internet providers, manipulates us, use and to our satisfaction. Our developing and continuously changing technology has the effects of our culture, personalities, consumer habits and the perceptions of us by changing our needs. Within the scope of this study, it is emphasized on the concept of the transformation of the technology, and the effects of the objects are made on the fact of the internet (IOT). At the same time, the analysis of this concept is analyzed the epidemic film related to the use of the health sector. The role of the artificial intelligence robots used in the fight against Covid-19, which is described as a global health problem, the role used in the challenge of this technology used to examine the benefits and damages of this technology used.

scholarly journals Balancing risks and benefits of artificial intelligence in the health sector

2020 ◽  
Vol 98 (4) ◽  
pp. 230-230A ◽  
Author(s):  
Kenneth Goodman ◽  
Diana Zandi ◽  
Andreas Reis ◽  
Effy Vayena
Keyword(s):  
Artificial Intelligence ◽  
Health Sector ◽  
Risks And Benefits

scholarly journals Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study (Preprint)

2019 ◽  
Author(s):  
Rana Abdullah ◽  
Bahjat Fakieh
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Saudi Arabia ◽  
Health Sector ◽  
Employee Perceptions ◽  
Market Potential ◽  
Human Interaction ◽  
Survey Study ◽  
Health Care Information ◽  
Online Questionnaire

BACKGROUND The advancement of health care information technology and the emergence of artificial intelligence has yielded tools to improve the quality of various health care processes. Few studies have investigated employee perceptions of artificial intelligence implementation in Saudi Arabia and the Arabian world. In addition, limited studies investigated the effect of employee knowledge and job title on the perception of artificial intelligence implementation in the workplace. OBJECTIVE The aim of this study was to explore health care employee perceptions and attitudes toward the implementation of artificial intelligence technologies in health care institutions in Saudi Arabia. METHODS An online questionnaire was published, and responses were collected from 250 employees, including doctors, nurses, and technicians at 4 of the largest hospitals in Riyadh, Saudi Arabia. RESULTS The results of this study showed that 3.11 of 4 respondents feared artificial intelligence would replace employees and had a general lack of knowledge regarding artificial intelligence. In addition, most respondents were unaware of the advantages and most common challenges to artificial intelligence applications in the health sector, indicating a need for training. The results also showed that technicians were the most frequently impacted by artificial intelligence applications due to the nature of their jobs, which do not require much direct human interaction. CONCLUSIONS The Saudi health care sector presents an advantageous market potential that should be attractive to researchers and developers of artificial intelligence solutions.

scholarly journals Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity (Preprint)

2020 ◽  
Author(s):  
Hassane Alami ◽  
Pascale Lehoux ◽  
Yannick Auclair ◽  
Michèle de Guise ◽  
Marie-Pierre Gagnon ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Health Technology Assessment ◽  
Health System ◽  
Technology Assessment ◽  
Real World ◽  
Health Sector ◽  
Health Technology ◽  
System Transformation ◽  
Novel Technologies ◽  
Technical Performance

UNSTRUCTURED Artificial intelligence (AI) is seen as a strategic lever to improve access, quality, and efficiency of care and services and to build learning and value-based health systems. Many studies have examined the technical performance of AI within an experimental context. These studies provide limited insights into the issues that its use in a real-world context of care and services raises. To help decision makers address these issues in a systemic and holistic manner, this viewpoint paper relies on the health technology assessment core model to contrast the expectations of the health sector toward the use of AI with the risks that should be mitigated for its responsible deployment. The analysis adopts the perspective of payers (ie, health system organizations and agencies) because of their central role in regulating, financing, and reimbursing novel technologies. This paper suggests that AI-based systems should be seen as a health system transformation lever, rather than a discrete set of technological devices. Their use could bring significant changes and impacts at several levels: technological, clinical, human and cognitive (patient and clinician), professional and organizational, economic, legal, and ethical. The assessment of AI’s value proposition should thus go beyond technical performance and cost logic by performing a holistic analysis of its value in a real-world context of care and services. To guide AI development, generate knowledge, and draw lessons that can be translated into action, the right political, regulatory, organizational, clinical, and technological conditions for innovation should be created as a first step.

scholarly journals Artificial Intelligence: Its future in the health sector and its role for medical education

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Peter A. Henning ◽  
Jacqueline Henning ◽  
Katharina Glück
Keyword(s):  
Artificial Intelligence ◽  
Medical Education ◽  
Health Sector

scholarly journals The challenges and opportunities of adopting artificial intelligence (AI) in Jordan’s healthcare transformation

2021 ◽  
Vol 11 (2) ◽  
pp. 35-46
Author(s):  
Shakir Karim ◽  
Raj Sandu ◽  
Mahesh Kayastha
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Health Care Providers ◽  
Healthcare Providers ◽  
Health Sector ◽  
Healthcare Services ◽  
Care Providers ◽  
Challenges And Opportunities ◽  
Consistent Assessment ◽  
Local Awareness

Artificial Intelligence (AI) is the greatest development and promise in the present technology world, as it promises big contribution, massive changes, modernization, and coordination with and within people’s progressing life. This paper aims to provide an analysis of Jordan health care that are co-connected and interconnected with the consequences formed by Artificial Intelligence (AI) and focuses on the strengths and weaknesses of adopting AI in health sector. It also discusses the local awareness and familiarization of Artificial Intelligence (AI) in Jordan healthcare providers and gives a consistent assessment of current and future best practices. Data was gathered by using interviews from Jordan IT and health care providers. The investigation found that AI is consistently changing the way healthcare is to be directed in Jordan. AI can provide solid healthcare services to the stakeholders. As a developing country, Jordan has not fully adopted Artificial Intelligence (AI) in its healthbsector.   Keywords: Artificial Intelligence (AI); Challenges; Health care System; Jordan; Opportunities  

scholarly journals Influential Usage of Big Data and Artificial Intelligence in Healthcare

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Yan Cheng Yang ◽  
Saad Ul Islam ◽  
Asra Noor ◽  
Sadia Khan ◽  
Waseem Afsar ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Tumor Biology ◽  
Health Sector ◽  
Clinical Work ◽  
Information And Communications Technology ◽  
Added Value ◽  
Medical Health ◽  
Electronic Health

Artificial intelligence (AI) is making computer systems capable of executing human brain tasks in many fields in all aspects of daily life. The enhancement in information and communications technology (ICT) has indisputably improved the quality of people’s lives around the globe. Especially, ICT has led to a very needy and tremendous improvement in the health sector which is commonly known as electronic health (eHealth) and medical health (mHealth). Deep machine learning and AI approaches are commonly presented in many applications using big data, which consists of all relevant data about the medical health and diseases which a model can access at the time of execution or diagnosis of diseases. For example, cardiovascular imaging has now accurate imaging combined with big data from the eHealth record and pathology to better characterize the disease and personalized therapy. In clinical work and imaging, cancer care is getting improved by knowing the tumor biology and helping in the implementation of precision medicine. The Markov model is used to extract new approaches for leveraging cancer. In this paper, we have reviewed existing research relevant to eHealth and mHealth where various models are discussed which uses big data for the diagnosis and healthcare system. This paper summarizes the recent promising applications of AI and big data in medical health and electronic health, which have potentially added value to diagnosis and patient care.

scholarly journals Applications of Artificial Intelligence (AI) in healthcare: A review

2021 ◽  
Author(s):  
Mohammed Yousef Shaheen
Keyword(s):  
Artificial Intelligence ◽  
Clinical Trials ◽  
Drug Discovery ◽  
Target Identification ◽  
Health Sector ◽  
Monitoring Methods ◽  
Pharmaceutical Firms ◽  
Genetic Codes ◽  
Applications Of Ai

Artificial intelligence is revolutionizing — and strengthening — modern healthcare through technologies that can predict, grasp, learn, and act, whether it's employed to identify new relationships between genetic codes or to control surgery-assisting robots. It can detect minor patterns that humans would completely overlook. This study explores and discusses the various modern applications of AI in the health sector. Particularly, the study focuses on three most emerging areas of AI-powered healthcare: AI-led drug discovery, clinical trials, and patient care. The findings suggest that pharmaceutical firms have benefited from AI in healthcare by speeding up their drug discovery process and automating target identification. Artificial Intelligence (AI) can help also to eliminate time-consuming data monitoring methods. The findings also indicate that AI-assisted clinical trials are capable of handling massive volumes of data and producing highly accurate results. Medical AI companies develop systems that assist patients at every level. Patients' medical data is also analyzed by clinical intelligence, which provides insights to assist them improve their quality of life.

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