scholarly journals IMPACT OF AI AND DEEP LEARNING ON THE HEALTHCARE INDUSTRY

2022 ◽  
Author(s):  
Sanjay Patil
Keyword(s):  
Deep Learning ◽  
Change Management ◽  
Healthcare Systems ◽  
Healthcare Industry ◽  
Healthcare Organizations ◽  
Financial Growth

Many healthcare organizations and facilities are currently attempting to improve either managerial or systematic operations. As a result, those businesses' performance has improved, as has their financial growth and reputation in local and global marketplaces. Deep learning and AI are utilized to control healthcare systems in this case. It aids in the provision of better service, the diagnosis of different diseases, and a variety of other tasks. Based on this, this paper will expound on the definitions of deep learning and AI, as well as the importance and change management applications of these tools.

Explainable health prediction from facial features with transfer learning

2021 ◽  
pp. 1-13
Author(s):  
Tee Connie ◽  
Yee Fan Tan ◽  
Michael Kah Ong Goh ◽  
Hock Woon Hon ◽  
Zulaikha Kadim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Transfer Learning ◽  
Healthcare Systems ◽  
Facial Features ◽  
Healthcare Industry ◽  
The Public ◽  
Explainable Ai ◽  
Interpretable Model ◽  
Effective Visualization

In the recent years, Artificial Intelligence (AI) has been widely deployed in the healthcare industry. The new AI technology enables efficient and personalized healthcare systems for the public. In this paper, transfer learning with pre-trained VGGFace model is applied to identify sick symptoms based on the facial features of a person. As the deep learning model’s operation is unknown for making a decision, this paper investigates the use of Explainable AI (XAI) techniques for soliciting explanations for the predictions made by the model. Various XAI techniques including Integrated Gradient, Explainable region-based AI (XRAI) and Local Interpretable Model-Agnostic Explanations (LIME) are studied. XAI is crucial to increase the model’s transparency and reliability for practical deployment. Experimental results demonstrate that the attribution method can give proper explanations for the decisions made by highlighting important attributes in the images. The facial features that account for positive and negative classes predictions are highlighted appropriately for effective visualization. XAI can help to increase accountability and trustworthiness of the healthcare system as it provides insights for understanding how a conclusion is derived from the AI model.

Applications of blockchain in healthcare (Preprint)

2020 ◽  
Author(s):  
Pranav C
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Review Paper ◽  
New Technology ◽  
Personal Identification ◽  
Healthcare Industry ◽  
Healthcare Organizations ◽  
Paper Briefly ◽  
Blockchain Technology ◽  
Audit Trails

UNSTRUCTURED The word blockchain elicits thoughts of cryptocurrency much of the time, which does disservice to this disruptive new technology. Agreed, bitcoin launched in 2011 was the first large scale implementation of blockchain technology. Also, Bitcoin’s success has triggered the establishment of nearly 1000 new cryptocurrencies. This again lead to the delusion that the only application of blockchain technology is for the creation of cryptocurrency. However, the blockchain technology is capable of a lot more than just cryptocurrency creation and may support such things as transactions that require personal identification, peer review, elections and other types of democratic decision-making and audit trails. Blockchain exists with real world implementations beyond cryptocurrencies and these solutions deliver powerful benefits to healthcare organizations, bankers, retailers and consumers among others. One of the areas where blockchain technology can be used effectively is healthcare industry. Proper application of this technology in healthcare will not only save billions of money but also will contribute to the growth in research. This review paper briefly defines blockchain and deals in detail the applications of blockchain in various areas particularly in healthcare industry.

Semantic Health Mediation and Access Control Manager for Interoperability Among Healthcare Systems

2018 ◽  
Vol 11 (4) ◽  
pp. 87-98
Author(s):  
Abdullah Alamri
Keyword(s):  
Medical Information ◽  
Clinical Information ◽  
Healthcare Systems ◽  
Patient Data ◽  
Dual Model ◽  
Healthcare Organizations ◽  
Reference Information ◽  
Proposed Model ◽  
Definition Of ◽  
Semantic Mediation

Healthcare systems have evolved to become more patient-centric. Many efforts have been made to transform paper-based patient data to automated medical information by developing electronic healthcare records (EHRs). Several international EHRs standards have been enabling healthcare interoperability and communication among a wide variety of medical centres. It is a dual-model methodology which comprises a reference information model and an archetype model. The archetype is responsible for the definition of clinical concepts which has limitations in terms of supporting complex reasoning and knowledge discovery requirements. The objective of this article is to propose a semantic-mediation architecture to support semantic interoperability among healthcare organizations. It provides an intermediate semantic layer to exploit clinical information based on richer ontological representations to create a “model of meaning” for enabling semantic mediation. The proposed model also provides secure mechanisms to allow interoperable sharing of patient data between healthcare organizations.

scholarly journals Building impactful systems-focused simulations: integrating change and project management frameworks into the pre-work phase

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Mirette Dubé ◽  
Glenn Posner ◽  
Kimberly Stone ◽  
Marjorie White ◽  
Alyshah Kaba ◽  
...  
Keyword(s):  
Project Management ◽  
Complex Systems ◽  
Change Management ◽  
Systematic Approach ◽  
Reflective Learning ◽  
Healthcare Organizations ◽  
High Quality ◽  
Comprehensive Collection ◽  
Enabling Institutions ◽  
Efficient Care

AbstractHealthcare organizations strive to deliver safe, high-quality, efficient care. These complex systems frequently harbor gaps, which if unmitigated, could result in harm. Systems-focused simulation (SFS) projects, which include systems-focused debriefing (SFD), if well designed and executed, can proactively and comprehensively identify gaps and test and improve systems, enabling institutions to improve safety and quality before patients and staff are placed at risk.The previously published systems-focused debriefing framework, Promoting Excellence and Reflective Learning in Simulation (PEARLS) for Systems Integration (PSI), describes a systematic approach to SFD. It includes an essential “pre-work” phase, encompassing evidence-informed steps that lead up to a SFD. Despite inclusion in the PSI framework, a detailed description of the pre-work phase, and how each component facilitates change management, was limited.The goal of this paper is to elucidate the PSI “Pre-work” phase, everything leading up to the systems-focused simulation and debriefing. It describes how the integration of project and change management principles ensures that a comprehensive collection of safety and quality issues are reliably identified and captured.

Cybersecurity of multi-cloud healthcare systems: A hierarchical deep learning approach

2022 ◽  
pp. 108439
Author(s):  
Lav Gupta ◽  
Tara Salman ◽  
Ali Ghubaish ◽  
Devrim Unal ◽  
Abdulla Khalid Al-Ali ◽  
...  
Keyword(s):  
Deep Learning ◽  
Healthcare Systems ◽  
Learning Approach ◽  
Multi Cloud

RFID Applications in E-Healthcare

2012 ◽  
pp. 259-287 ◽  
Author(s):  
Mohamed K. Watfa ◽  
Manprabhjot Kaur ◽  
Rashida Firoz Daruwala
Keyword(s):  
Patient Flow ◽  
Health Sector ◽  
Healthcare Industry ◽  
Rfid Technology ◽  
Work Processes ◽  
Healthcare Organizations ◽  
Healthcare Facilities ◽  
The Future ◽  
Medicinal Drugs ◽  
Rfid Applications

Pervasive healthcare is the ultimate goal of all healthcare facilities and e-healthcare is the most talked about medical assistance these days. Healthcare organizations are exploiting RFID to maximize use of tools and equipment, keep tabs on medicinal drugs, boost patient flow and plug gaps in patient safety. RFID technology has become a hot topic in all scientific areas and is entitled as a major enabling technology for the automation of many work processes involved in the health sector. This chapter talks about many singular RFID applications that have been successfully developed or are in development, particularly the ones designed for the healthcare industry. It also discusses issues related to technology and healthcare and measures to overcome them. Furthermore, the chapter gives insight on the future of RFID technology and what more it has to offer to the healthcare community in the future.

Knowledge Sharing for Healthcare and Medicine in Developing Countries

2017 ◽  
pp. 1276-1293
Author(s):  
Kgomotso H. Moahi ◽  
Kelvin J. Bwalya
Keyword(s):  
Developing Countries ◽  
Knowledge Management ◽  
Knowledge Sharing ◽  
Healthcare Systems ◽  
Healthcare Organizations ◽  
Middle Income ◽  
Middle Income Countries ◽  
Cross Pollination ◽  
The Individual ◽  
Sharing Behavior

Knowledge sharing has always been used as a platform for cross-pollination of ideas and innovations in a bid to improve and enhance performance thereby increasing competitiveness and responsiveness both in organizations and individual levels. Healthcare systems are not an exception. However, for knowledge sharing to take place there is need for certain factors to be noted and addressed such as the individual, organizational and technological. Further, knowledge sharing goes hand in hand with knowledge management and must become part of the strategic fabric of organizations. This chapter focuses on knowledge sharing by health professionals in healthcare and medicine in developing countries. The chapter covers knowledge management and its link with knowledge sharing; the various methods of knowledge sharing in healthcare; factors that make knowledge sharing an important strategic move for healthcare organizations; and factors and issues that affect or determine knowledge sharing behavior. Finally, a literature search for examples of knowledge sharing in developing or low and middle-income countries was conducted and the results are presented. The chapter shows that developing countries have recognized the value of knowledge sharing in healthcare systems and there are tangible signs that this is going to shape cross-pollination of ideas and innovations in the health systems in the foreseeable future.

Branding and Communication Strategies in Healthcare Organizations

2018 ◽  
pp. 227-239
Author(s):  
Sonopant Ganpatrao Joshi
Keyword(s):  
Nursing Home ◽  
Competitive Advantage ◽  
Communication Strategies ◽  
Healthcare Organization ◽  
Healthcare Industry ◽  
Healthcare Organizations ◽  
Hospital Administrators ◽  
Healthcare It ◽  
The World ◽  
Important Object

The Indian healthcare industry is third largest economy in the world. India's competitive advantage also lies in the increased success rate of Indian healthcare sectors. All organizations benefit from great branding, but it is more important in healthcare than any other industry. Creating brand is an important object in marketing in order to reach to maximum customers. Organizations across the world and in India are constantly striving to achieve excellent branding to attain top recall value of healthcare. Physicians, dentists, physiotherapist, nurses, nursing home owners, hospital administrators have many challenges regarding branding and communications of healthcare. It is an ideal for energizing their healthcare organization and sustain financially and operationally. This chapter explains what is brand, its strategies, how to develop branding of healthcare organization and how to manage brands. Many illustrations and case studies are described in this chapter.

Knowledge Sharing for Healthcare and Medicine in Developing Countries

2017 ◽  
pp. 60-77 ◽  
Author(s):  
Kgomotso Hildegard Moahi ◽  
Kelvin J. Bwalya
Keyword(s):  
Developing Countries ◽  
Knowledge Management ◽  
Knowledge Sharing ◽  
Healthcare Systems ◽  
Healthcare Organizations ◽  
Middle Income ◽  
Middle Income Countries ◽  
Cross Pollination ◽  
The Individual ◽  
Sharing Behavior

Knowledge sharing has always been used as a platform for cross-pollination of ideas and innovations in a bid to improve and enhance performance thereby increasing competitiveness and responsiveness both in organizations and individual levels. Healthcare systems are not an exception. However, for knowledge sharing to take place there is need for certain factors to be noted and addressed such as the individual, organizational and technological. Further, knowledge sharing goes hand in hand with knowledge management and must become part of the strategic fabric of organizations. This chapter focuses on knowledge sharing by health professionals in healthcare and medicine in developing countries. The chapter covers knowledge management and its link with knowledge sharing; the various methods of knowledge sharing in healthcare; factors that make knowledge sharing an important strategic move for healthcare organizations; and factors and issues that affect or determine knowledge sharing behavior. Finally, a literature search for examples of knowledge sharing in developing or low and middle-income countries was conducted and the results are presented. The chapter shows that developing countries have recognized the value of knowledge sharing in healthcare systems and there are tangible signs that this is going to shape cross-pollination of ideas and innovations in the health systems in the foreseeable future.

Change Management and Leadership

2017 ◽  
pp. 47-64
Author(s):  
Kallol Basu
Keyword(s):  
Health Care ◽  
Change Management ◽  
Medical Care ◽  
Technology Implementation ◽  
Organization Change ◽  
Digital Transformation ◽  
Success Rates ◽  
Healthcare Organizations ◽  
New Era ◽  
Depth Analysis

The increasing convergence of technology and health care is ushering in a new era of digital transformation in the way patients interact with healthcare professionals. The surging market is forcing healthcare organizations to continuously leverage technology to modernize medical care, reduce manual handoffs, and reduce costs. However, the success rates have not been very encouraging. This is significantly due to lack of proper attention to organization change management by leadership. By performing an in-depth analysis of affected leading hospital chains in India, this chapter deduces how leadership can help foster better change adoption throughout the lifecycle of technology implementation in healthcare organizations.

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