The Rise and Application of Artificial Intelligence in Healthcare

2021 ◽  
pp. 28-49
Author(s):  
Ivan Khoo Yi ◽  
Andrew Fang Hao Sen
Keyword(s):  
Artificial Intelligence ◽  
Financial Institutions ◽  
Molecular Level ◽  
Healthcare Providers ◽  
Pharmaceutical Companies ◽  
Healthcare Industry ◽  
Practice Of Medicine ◽  
Potential Benefits ◽  
Legal Professional ◽  
Medical Domain

The overall purpose of this chapter will be to broadly explore both the existing and possible implementations of artificial intelligence (AI) in healthcare. The scope of this chapter will be explored from the unique perspectives of various stakeholders in the healthcare industry, namely the healthcare providers, patients, pharmaceutical companies, healthcare financial institutions, and policymakers. The chapter will seek to identify the potential benefits and pitfalls that faced by these stakeholders in implementing the use of AI, from the molecular level to a macroeconomics level; as well as seeking to understand the legal, professional, and ethical boundaries of the medical domain that are challenged as AI increasingly becomes irreversibly intertwined with the practice of medicine.

A Novel GS1 Data Standard Adoption Roadmap for Healthcare Providers

2013 ◽  
pp. 41-57
Author(s):  
Nebil Buyurgan ◽  
Ronald L. Rardin ◽  
Raja Jayaraman ◽  
Vijith M. Varghese ◽  
Angelica Burbano
Keyword(s):  
Supply Chain ◽  
Healthcare Providers ◽  
Healthcare Industry ◽  
Data Standards ◽  
Pilot Studies ◽  
Potential Benefits ◽  
Standards Adoption ◽  
Expected Benefits ◽  
Flexible Foundation ◽  
Different Levels

The use of GS1 Data Standards is envisioned to improve the efficiency of the healthcare supply chain as it did for the retail supply chain. The healthcare industry, especially providers, acknowledges their potentials; however, there are misconceptions and lack of understanding the associated costs and expected benefits. This study presents an adoption roadmap for GS1 Data Standards at the provider level in healthcare industry. The developed roadmap is a result of systematic efforts at conducting extensive studies, examining the best practices, and interacting with industry leaders. The adoption roadmap includes different levels and sublevels to provide a flexible foundation for healthcare providers where alternative adoption paths will be available for their immediate needs and requirements. Sublevels have a recommended precedence structure to realize maximum gains from the adoptions. The feasibility and practicality of the developed roadmap has been validated by two pilot studies, which were conducted in collaboration with two hospital provider partners. The pilot studies helped identify potential benefits as well as roadblocks and barriers for different levels of GS1 Data Standards adoption. The results indicate that the adoption is not an easy process and may require many workarounds; however, the potential gains are significant.

A Novel GS1 Data Standard Adoption Roadmap for Healthcare Providers

2011 ◽  
Vol 6 (4) ◽  
pp. 42-59 ◽  
Author(s):  
Nebil Buyurgan ◽  
Ronald L. Rardin ◽  
Raja Jayaraman ◽  
Vijith M. Varghese ◽  
Angelica Burbano
Keyword(s):  
Supply Chain ◽  
Healthcare Providers ◽  
Healthcare Industry ◽  
Data Standards ◽  
Pilot Studies ◽  
Potential Benefits ◽  
Standards Adoption ◽  
Expected Benefits ◽  
Flexible Foundation ◽  
Different Levels

The use of GS1 Data Standards is envisioned to improve the efficiency of the healthcare supply chain as it did for the retail supply chain. The healthcare industry, especially providers, acknowledges their potentials; however, there are misconceptions and lack of understanding the associated costs and expected benefits. This study presents an adoption roadmap for GS1 Data Standards at the provider level in healthcare industry. The developed roadmap is a result of systematic efforts at conducting extensive studies, examining the best practices, and interacting with industry leaders. The adoption roadmap includes different levels and sublevels to provide a flexible foundation for healthcare providers where alternative adoption paths will be available for their immediate needs and requirements. Sublevels have a recommended precedence structure to realize maximum gains from the adoptions. The feasibility and practicality of the developed roadmap has been validated by two pilot studies, which were conducted in collaboration with two hospital provider partners. The pilot studies helped identify potential benefits as well as roadblocks and barriers for different levels of GS1 Data Standards adoption. The results indicate that the adoption is not an easy process and may require many workarounds; however, the potential gains are significant.

Automated Interactive Patient History-Taking System: A Review (Preprint)

2021 ◽  
Author(s):  
Sunaina Anand ◽  
Anish Desai ◽  
Sunitha Mathew
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Health Information ◽  
Healthcare Providers ◽  
History Taking ◽  
Drug Reactions ◽  
Patient History ◽  
System A ◽  
Practice Of Medicine ◽  
Efficient Software

UNSTRUCTURED The process of history-taking has been challenging for India due to its booming population and severe scarcity of doctors. Inadequate patient history could lead to medication errors, adverse drug reactions and medication non-compliance. Innovations in health information technology (HIT) have great potential for improving the practice of medicine. An automated patient history is collected with the help of a computer. Physicians can use Artificial Intelligence (AI) to help with documentation, analysis of patient data while increasing precision, productivity, and efficacy of the physician. Healthcare providers are looking for regulatory compliant and efficient software for automated patient history taking. In telemedicine, automated history taking before consultation can save physician`s time, have more accurate history which will improve telemedicine experience for the patient especially in times of a pandemic like Coronavirus disease (COVID-19).

scholarly journals A short guide for medical professionals in the era of artificial intelligence

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Bertalan Meskó ◽  
Marton Görög
Keyword(s):  
Artificial Intelligence ◽  
Medical Professional ◽  
Clinical Validation ◽  
Delivery Of Healthcare ◽  
Practice Of Medicine ◽  
Potential Benefits ◽  
Definition Of ◽  
Near Future ◽  
News Headlines ◽  
Simple Definition

Abstract Artificial intelligence (A.I.) is expected to significantly influence the practice of medicine and the delivery of healthcare in the near future. While there are only a handful of practical examples for its medical use with enough evidence, hype and attention around the topic are significant. There are so many papers, conference talks, misleading news headlines and study interpretations that a short and visual guide any medical professional can refer back to in their professional life might be useful. For this, it is critical that physicians understand the basics of the technology so they can see beyond the hype, evaluate A.I.-based studies and clinical validation; as well as acknowledge the limitations and opportunities of A.I. This paper aims to serve as a short, visual and digestible repository of information and details every physician might need to know in the age of A.I. We describe the simple definition of A.I., its levels, its methods, the differences between the methods with medical examples, the potential benefits, dangers, challenges of A.I., as well as attempt to provide a futuristic vision about using it in an everyday medical practice.

scholarly journals Artificial Intelligence in the Banking Sector – A Critical Analysis

2021 ◽  
Vol 8 (S1-Feb) ◽  
pp. 210-216
Author(s):  
Joel Manjaly ◽  
Ranjana Mary Varghese ◽  
Philip Varughese
Keyword(s):  
Artificial Intelligence ◽  
Financial Institutions ◽  
Financial Services ◽  
Banking Sector ◽  
Regulatory Constraints ◽  
Public Company ◽  
Global Banking ◽  
Improve Compliance ◽  
Potential Benefits ◽  
Digital Disruption

“Computers will overtake humans with AI in the next 100 years. When that happens, we need to make sure the computers have goals aligned with ours.” The pros and cons of AI is evident in this statement made by Stephen Hawking.The last decade had witnessed tremendous changes in how each industry functions. The rapid growth of technology, internet and infrastructure has fuelled this disruption at a 10X speed.Talk of the town in digital disruption is Artificial Intelligence. Number of mentions of AI or Machine Learning in earning calls by public company executives shows an exponentially rising trend since 2015 as per the data by CBInsights. AI has brought in groundbreaking changes in the global banking industry. The future of AI in banking is enormous as the power of advanced data analytics can combat fraudulent bank transactions and improve compliance. AI technologies reduce costs in the banking sector by increasing productivity. According to Open Text survey of financial services professionals, 80% of banks are highly aware about the potential benefits that AI can bring to the business. What are the potential benefits of AI in financial institutions? Does adopting AI come with risks and costs? What are the regulatory constraints which could be the impediments for implementing AI in the Banking sector? This conceptual paper deals with risks, rewards, use cases and ways to adopt AI in the banking sector. This article also tries to identify the paybacks and also the key uses of some of the tools which are used by both financial institutions and central banks. It also indicates the main constraints of the technology and its likely consequences for the correct functioning of the financial system.

scholarly journals Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges

2021 ◽  
Vol 18 (1) ◽  
pp. 271
Author(s):  
DonHee Lee ◽  
Seong No Yoon
Keyword(s):  
Artificial Intelligence ◽  
Care Service ◽  
Healthcare Providers ◽  
Healthcare Industry ◽  
Care Providers ◽  
Current State ◽  
Healthcare It ◽  
Wide Range ◽  
Technology Applications ◽  
Operational Processes

This study examines the current state of artificial intelligence (AI)-based technology applications and their impact on the healthcare industry. In addition to a thorough review of the literature, this study analyzed several real-world examples of AI applications in healthcare. The results indicate that major hospitals are, at present, using AI-enabled systems to augment medical staff in patient diagnosis and treatment activities for a wide range of diseases. In addition, AI systems are making an impact on improving the efficiency of nursing and managerial activities of hospitals. While AI is being embraced positively by healthcare providers, its applications provide both the utopian perspective (new opportunities) and the dystopian view (challenges to overcome). We discuss the details of those opportunities and challenges to provide a balanced view of the value of AI applications in healthcare. It is clear that rapid advances of AI and related technologies will help care providers create new value for their patients and improve the efficiency of their operational processes. Nevertheless, effective applications of AI will require effective planning and strategies to transform the entire care service and operations to reap the benefits of what technologies offer.

INCREASING ADOPTION OFSOCIAL MEDIA IN HEALTHCARE ORGANIZATIONS : OPPORTUNITIES AND CONCERNS

2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Sharafat Hussain ◽  
Prof. Mohd. Abdul Azeem
Keyword(s):  
Health Care ◽  
Social Media ◽  
Social Networking ◽  
Health Care Organizations ◽  
Healthcare Providers ◽  
Healthcare Organizations ◽  
Online Questionnaire ◽  
Potential Benefits ◽  
Social Media Presence ◽  
Use Of Social Media

Adoption of social media amongst health care organizations is thriving. Healthcare providers have begun to connect with patients via social media. While some healthcare organizations have taken the initiative, numerous others are attempting to comprehend this new medium of opportunity. These organizations are finding that social networking can be an effective way to monitor brand, connecting with patients, community, and patient education and acquiring new talent. This study is conducted to identify the purpose of using social media, concerns, policy and its implementation and the overall experience of healthcare organizations with social media. To collect first hand data, online questionnaire was sent via LinkedIn to 400 US healthcare organizations and representatives out of which 117 responded and were taken further for analsysis. The results of this study confirm the thriving adoption, increased opportunities and cautious use of social media by healthcare organizations. The potential benefits present outweigh the risk and concerns associated with it. Study concluded that social media presence will continue to grow into the future and the field of healthcare is no exception.

Stress Testing to Assess Recovery from Extreme Events

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
M. John Plodinec
Keyword(s):  
Climate Change ◽  
United States ◽  
Financial Institutions ◽  
Extreme Events ◽  
Stress Testing ◽  
The United States ◽  
The Other ◽  
New Approach ◽  
Rapid Spread ◽  
Potential Benefits

Abstract Over the last decade, communities have become increasingly aware of the risks they face. They are threatened by natural disasters, which may be exacerbated by climate change and the movement of land masses. Growing globalization has made a pandemic due to the rapid spread of highly infectious diseases ever more likely. Societal discord breeds its own threats, not the least of which is the spread of radical ideologies giving rise to terrorism. The accelerating rate of technological change has bred its own social and economic risks. This widening spectrum of risk poses a difficult question to every community – how resilient will the community be to the extreme events it faces. In this paper, we present a new approach to answering that question. It is based on the stress testing of financial institutions required by regulators in the United States and elsewhere. It generalizes stress testing by expanding the concept of “capital” beyond finance to include the other “capitals” (e.g., human, social) possessed by a community. Through use of this approach, communities can determine which investments of its capitals are most likely to improve its resilience. We provide an example of using the approach, and discuss its potential benefits.

scholarly journals Blockchain Disrupting Fintech and the Banking System

Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 24
Author(s):  
Eduard Alexandru Stoica ◽  
Daria Maria Sitea
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Financial Institutions ◽  
New World ◽  
Great Part ◽  
Banking System ◽  
Daily Activities ◽  
Blockchain Technology ◽  
Almost All

Nowadays society is profoundly changed by technology, velocity and productivity. While individuals are not yet prepared for holographic connection with banks or financial institutions, other innovative technologies have been adopted. Lately, a new world has been launched, personalized and adapted to reality. It has emerged and started to govern almost all daily activities due to the five key elements that are foundations of the technology: machine to machine (M2M), internet of things (IoT), big data, machine learning and artificial intelligence (AI). Competitive innovations are now on the market, helping with the connection between investors and borrowers—notably crowdfunding and peer-to-peer lending. Blockchain technology is now enjoying great popularity. Thus, a great part of the focus of this research paper is on Elrond. The outcomes highlight the relevance of technology in digital finance.

scholarly journals Worker Perspectives on Incorporating Artificial Intelligence into Office Workspaces: Implications for the Future of Office Work

2021 ◽  
Vol 18 (4) ◽  
pp. 1690
Author(s):  
Yoko E. Fukumura ◽  
Julie McLaughlin Gray ◽  
Gale M. Lucas ◽  
Burcin Becerik-Gerber ◽  
Shawn C. Roll
Keyword(s):  
Artificial Intelligence ◽  
Work Performance ◽  
Well Being ◽  
Office Worker ◽  
Office Work ◽  
Worker Performance ◽  
Workplace Environments ◽  
Learning Capabilities ◽  
Potential Benefits ◽  
Group Interviews

Workplace environments have a significant impact on worker performance, health, and well-being. With machine learning capabilities, artificial intelligence (AI) can be developed to automate individualized adjustments to work environments (e.g., lighting, temperature) and to facilitate healthier worker behaviors (e.g., posture). Worker perspectives on incorporating AI into office workspaces are largely unexplored. Thus, the purpose of this study was to explore office workers’ views on including AI in their office workspace. Six focus group interviews with a total of 45 participants were conducted. Interview questions were designed to generate discussion on benefits, challenges, and pragmatic considerations for incorporating AI into office settings. Sessions were audio-recorded, transcribed, and analyzed using an iterative approach. Two primary constructs emerged. First, participants shared perspectives related to preferences and concerns regarding communication and interactions with the technology. Second, numerous conversations highlighted the dualistic nature of a system that collects large amounts of data; that is, the potential benefits for behavior change to improve health and the pitfalls of trust and privacy. Across both constructs, there was an overarching discussion related to the intersections of AI with the complexity of work performance. Numerous thoughts were shared relative to future AI solutions that could enhance the office workplace. This study’s findings indicate that the acceptability of AI in the workplace is complex and dependent upon the benefits outweighing the potential detriments. Office worker needs are complex and diverse, and AI systems should aim to accommodate individual needs.

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