Conceptualising Artificial Intelligence as a Digital Healthcare Innovation: An Introductory Review (original) (raw)

The application of artificial intelligence: perceptions from healthcare professionals

Health and Technology, 2023

Purpose The main purpose of this study was to explore the perspectives of healthcare executives on Artificial Intelligence (AI)'s future applications and the associated benefits, challenges, and ethical considerations. Methods A qualitative study was conducted with 21 healthcare professionals. The participants were interviewed to gather their perceptions of AI and its impact on digital healthcare. The analysis focused on identifying the current applications of AI in healthcare and understanding the participants' perspectives on its potential future applications. The study also aimed to identify the benefits, challenges, and ethical considerations associated with AI implementation in healthcare. Results The study revealed that AI is currently being used in personalized medicine, drug discovery, telemedicine, clinical decision support, medical treatments, and surgery. The participants recognized several benefits of AI implementation, including improved access to healthcare, increased efficiency and productivity, cost savings, and improved diagnostic accuracy. The participants expressed optimism about the future of AI in healthcare, particularly in enhancing patient outcomes through patient monitoring, early prevention detection, and reduced medical errors. However, the study also identified challenges and ethical considerations, such as technical adaptation, loss of managerial control, data privacy, and accountability. Conclusions The findings of this study highlighted the valuable insights provided by healthcare executives regarding the current and future applications of AI in healthcare. The results emphasized the need for addressing regulatory barriers, enhancing data availability, mitigating bias, and ensuring transparency in AI systems. Despite the identified challenges, the study concluded that AI has a significant demand and potential in the healthcare industry for the future.

Artificial Intelligence and Healthcare Regulatory and Legal Concerns

Telehealth and Medicine Today, 2021

We are in a stage of transition as artificial intelligence (AI) is increasingly being used in healthcare across the world. Transitions offer opportunities compounded with difficulties. It is universally accepted that regulations and the law can never keep up with the exponential growth of technology. This paper discusses liability issues when AI is deployed in healthcare. Ever-changing, futuristic, user friendly, uncomplicated regulatory requirements promoting compliance and adherence are needed. Regulators have to understand that software itself could be a software as a medical device (SaMD). Benefits of AI could be delayed if slow, expensive clinical trials are mandated. Regulations should distinguish between diagnostic errors, malfunction of technology, or errors due to initial use of inaccurate/inappropriate data as training data sets. The sharing of responsibility and accountability when implementation of an AI-based recommendation causes clinical problems is not clear. Legislation is necessary to allow apportionment of damages consequent to malfunction of an AI-enabled system. Product liability is ascribed to defective equipment and medical devices. However, Watson, the AI-enabled supercomputer, is treated as a consulting physician and not categorised as a product. In India, algorithms cannot be patented. There are no specific laws enacted to deal with AI in healthcare. DISHA or the Digital Information Security in Healthcare Act when implemented in India would hopefully cover some issues. Ultimately, the law is interpreted contextually and perceptions could be different among patients, clinicians and the legal system. This communication is to create the necessary awareness among all stakeholders.

Promise and Provisos of Artificial Intelligence and Machine Learning in Healthcare

Journal of Healthcare Leadership

Artificial Intelligence (AI) and Machine Learning (ML) promise to transform all facets of medicine. Expected changes include more effective clinical triage, enhanced accuracy of diagnostic interpretations, improved therapeutic interventions, augmented workflow algorithms, streamlined data collection and processing, more precise disease prognostication, newer pharmacotherapies, and ameliorated genome interpretation. However, many caveats remain. Reliability of input data, interpretation of output data, data proprietorship, consumer privacy, and liability issues due to potential for data breaches will all have to be addressed. Of equal concern will be decreased human interaction in clinical care, patient satisfaction, affordability, and skepticism regarding cost-benefit. This descriptive literature-based treatise expounds on the promise and provisos associated with the anticipated import of AI and ML into all domains of medicine and healthcare in the very near future.

Artificial Intelligence’s Role in the Healthcare System

New Trends in Sustainable Business and Consumption

Nowadays, because of the development and the evolving technologies, artificial intelligence (AI) changed the way healthcare systems function and altered the interactions between medical practitioners and patients. In this context, AI has the potential to revolutionize the healthcare system and is an opportunity to strengthen the doctor-patient relationship by offering accurate information in a reasonable amount of time. After a brief journey of the evolution of defining artificial intelligence, the article first covers the meaning of AI in the healthcare system through a systematic literature review, classifying the essential roles of AI in this system. It continues with the explained grade of involvement of the European Union in this field and its decisions during the COVID-19 pandemic regarding the uptake and upscale of digital health solutions. Lastly, this article emphasizes the necessity of having a unitary approach across the European Union regarding the AI involvement in the healthcare system by suggesting the implementation of a single European platform for medical appointments to adapt to the digital world and facilitate medicine without borders. This article aims to provide an overview of the AI roles in the healthcare system that have been developed and implemented and are playing a much-needed role in improving healthcare services, quality of medical practice, and patient satisfaction regarding the services. The classification underlines the positive aspects of adapting the current healthcare system to the new era and embraces the challenges. Artificial intelligence's roles lead to a better approach to the patient's attitude once they know the benefits of using and accepting artificial intelligence technologies in the medical field.

New Opportunities and Challenges for Health Professionals in the era of Artificial Intelligence – Review

Journal of Education, Health and Sport

Introduction and purpose: Modern medical knowledge has grown to a vastness incomprehensible for a single health professional to learn and accommodate. The usage of modern information technologies comes to help, one of them being artificial intelligence, a branch of computer science aimed at developing solutions to perform tasks similar to the human brain, but more efficient and complex, without actual human intervention. The goal of this review is to provide reader with the knowledge how artificial intelligence is applied in various branches of medicine. Brief description of the state of knowledge: In the fields of infectious diseases, including COVID-19 diagnostics, radiology, dermatology and surgery, works lean toward the statement, which suspect application of AI is beneficial for medical practitioners. Programs help to develop statistical models for virus spreading and the creation of antiviral solutions. The radiological application involves the analysis of images to aid radio...

Risk Analysis and Assessment of Artificial Intelligence Usage in Healthcare

2023

This study aims to discuss key issues in the health sector in Turkey, focusing on a large-scale reform, evidence-based decision-making regarding innovative technologies and AI, stakeholder coordination, and monitoring of potential diseases and pandemics. The goal is to provide practical suggestions for AI usage in the health sector in Turkey. The researchers conducted literature reviews and searched for AI products/services online. AI offers innovative solutions across various sectors, including health. Advanced health technologies, such as gene-based, immune-based, and stem cell regeneration therapies and synthetic nano-biology, can lead to more predictive, preventive, corrective, personalized, and remotely collaborative health solution systems. The R&D process of health-related products and methods contains uncertainties, risks, and opportunities. Ethical concerns, social relations, and psychological and legal compliance levels are significant considerations for future AI applications. The importance of establishing long-term AI research and policies is emphasized while acknowledging the societal benefits provided by AI. The study suggests that Turkish authorities on integrating technological innovations into the health sector.

The Influence of AI: The Revolutionary Effects of Artificial Intelligence in Healthcare Sector

Journal of Engineering Research and Reports, 2024

The application of artificial intelligence (AI) in healthcare is growing as it becomes more prevalent in modern business and everyday life. It is frequently regarded as a significant technological advancement in the present period. In recent times, the fields of artificial intelligence (AI) and big data analytics have been utilised in the domain of mobile health (m-health) to establish a highly efficient healthcare system. Modern medical research utilises diverse and poorly understood data, including electronic health records (EHRs), medical imaging, and complex language that is widely unorganised. The growth of mobile applications, together with healthcare systems, is a significant factor leading to the presence of disorganised and unstructured datasets. The enhanced accessibility of diverse datasets and advanced computer techniques like machine learning can enable researchers to usher in a new era of highly efficient genetic therapy. This review paper has clarified the role of machine learning algorithms in healthcare systems.

The Significance of Digitalisation and Artificial Intelligence in The Healthcare Sector: A Review

Asian Journal of Pharmacy, Nursing and Medical Sciences

Nowadays, artificial intelligence, machine learning, and deep learning are among the most popular and applied topics in many scientific and life fields that serve humanity. This science seeks to impose itself strongly on the various activities and academic circles and information science. Artificial intelligence techniques have proven their worth to be important in many fields, especially in the medical fields, business administration, military applications, communications, and many others. In short, artificial intelligence is from another world that will be of great importance in the future. In this article, the importance of digitisation and artificial intelligence in the healthcare sector will be addressed, what services they provide to this sector, and how they contribute to the service of healthcare workers and patient satisfaction. This article concluded that artificial intelligence and digital technologies are of great importance in the healthcare sector and can never be disp...

The Role of Artificial Intelligence in Transforming Patient Care and Diagnostic Processes

Artificial Intelligence (AI) is increasingly pivotal in revolutionizing patient care and diagnostic processes within the healthcare sector. This article examines the transformative impact of AI technologies, including machine learning, natural language processing, and computer vision, on improving diagnostic accuracy, streamlining patient care, and enhancing clinical workflows. By analyzing recent advancements and case studies, the article highlights how AI-driven tools support early disease detection, personalized treatment plans, and efficient management of patient data. It also explores the potential challenges and ethical considerations associated with AI implementation, such as data privacy and algorithmic biases. The article concludes by outlining future directions for AI in healthcare, emphasizing the need for continued research, interdisciplinary collaboration, and regulatory frameworks to maximize the benefits of AI while addressing potential risks. Through this exploration, the article aims to provide a comprehensive understanding of AI's role in advancing patient care and diagnostic practices, ultimately contributing to a more effective and equitable healthcare system.