Innovations in Internet of Medical Things, Artificial Intelligence and Readiness of Health Care Sector towards Health 4.0 Adoption

2022 ◽  
Vol 13 (1) ◽  
pp. 0-0
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Health Care Policy ◽  
Health Care Systems ◽  
Big Data Analytics ◽  
Health Care Sector ◽  
Current Status ◽  
Health Care Practices ◽  
Internet Of Medical Things ◽  
Care Practices

Recent years witnessed lots of advancements in Internet of Medical Things, Innovations in Artificial Intelligence and Big Data Analytics based health care practices. Further, recent pandemic has compelled health care institutions to adopt remote patient care practices throughout the world and India is not an exception. Growth in mobile infrastructure and cheap mobile data packages also encouraged adoption of telemedicine and m-health care practices in India which eventually supports attempts of health care policy makers for transition of traditional health care systems to Health 4.0 in the lines of industry4.0. However, success of Health 4.0 depends upon the coordinated efforts from all the stakeholders. In this regard this research has been conducted to investigate the current status of Health 4.0 implementation in India and readiness of Indian health care sector towards its adoption. This paper further employs the SWOT-AHP analysis to identify the current areas that need immediate improvement to facilitate Health 4.0 adoption.

scholarly journals Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians (Preprint)

2019 ◽  
Author(s):  
Onur Asan ◽  
Alparslan Emrah Bayrak ◽  
Avishek Choudhury
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Decision Making ◽  
Clinical Use ◽  
Primary Users ◽  
Health Care Practices ◽  
Decision Making Processes ◽  
Psychological Mechanism ◽  
Care Practices ◽  
The One

UNSTRUCTURED Artificial intelligence (AI) can transform health care practices with its increasing ability to translate the uncertainty and complexity in data into actionable—though imperfect—clinical decisions or suggestions. In the evolving relationship between humans and AI, trust is the one mechanism that shapes clinicians’ use and adoption of AI. Trust is a psychological mechanism to deal with the uncertainty between what is known and unknown. Several research studies have highlighted the need for improving AI-based systems and enhancing their capabilities to help clinicians. However, assessing the magnitude and impact of human trust on AI technology demands substantial attention. Will a clinician trust an AI-based system? What are the factors that influence human trust in AI? Can trust in AI be optimized to improve decision-making processes? In this paper, we focus on clinicians as the primary users of AI systems in health care and present factors shaping trust between clinicians and AI. We highlight critical challenges related to trust that should be considered during the development of any AI system for clinical use.

scholarly journals Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians

10.2196/15154 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e15154 ◽  
Author(s):  
Onur Asan ◽  
Alparslan Emrah Bayrak ◽  
Avishek Choudhury
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Decision Making ◽  
Clinical Use ◽  
Primary Users ◽  
Health Care Practices ◽  
Decision Making Processes ◽  
Psychological Mechanism ◽  
Care Practices ◽  
The One

Artificial intelligence (AI) can transform health care practices with its increasing ability to translate the uncertainty and complexity in data into actionable—though imperfect—clinical decisions or suggestions. In the evolving relationship between humans and AI, trust is the one mechanism that shapes clinicians’ use and adoption of AI. Trust is a psychological mechanism to deal with the uncertainty between what is known and unknown. Several research studies have highlighted the need for improving AI-based systems and enhancing their capabilities to help clinicians. However, assessing the magnitude and impact of human trust on AI technology demands substantial attention. Will a clinician trust an AI-based system? What are the factors that influence human trust in AI? Can trust in AI be optimized to improve decision-making processes? In this paper, we focus on clinicians as the primary users of AI systems in health care and present factors shaping trust between clinicians and AI. We highlight critical challenges related to trust that should be considered during the development of any AI system for clinical use.

The call to Hawaii: Holistic practitioners’ perspectives of their communicative practices of healing

2009 ◽  
Vol 5 (2) ◽  
pp. 133-144 ◽  
Author(s):  
Patricia Geist-Martin ◽  
Catherine Becker ◽  
Summer Carnett ◽  
Katherine Slauta
Keyword(s):  
Health Care ◽  
Healing Process ◽  
Holistic Health ◽  
Communicative Practices ◽  
Ethnographic Interviews ◽  
Health Care Practices ◽  
Wide Range ◽  
Care Practices ◽  
Holistic Health Care ◽  
Mutual Action

The big island of Hawaii has been named the healing island – a place with varied interpretations of healing, health, and a wide range of holistic health care practices. This research explores the perspectives of holistic providers about the communicative practices they believe are central to their interactions with patients. Intensive ethnographic interviews with 20 individuals revealed that they perceive their communication with clients as centered on four practices, specifically: (a) reciprocity – a mutual action or exchange in which both the practitioner and patient are equal partners in the healing process; (b) responsibility – the idea that, ultimately, people must heal themselves; (c) forgiveness – the notion that healing cannot progress if a person holds the burden of anger and pain; and (d) balance – the idea that it is possible to bring like and unlike things together in unity and harmony. The narratives revealed providers’ ontological assumptions about mind-body systems and the rationalities they seek to resist in their conversations with patients.

Impact of Religion on Traditional Health Care Practices Among the Lepchas of Upper and Lower Lingthem of Upper Dzongu, Sikkim, India

2021 ◽  
pp. 2455328X2199571
Author(s):  
Manisha Thapa ◽  
Pinak Tarafdar
Keyword(s):  
Health Care ◽  
Cultural Practices ◽  
Traditional Health ◽  
Health Care Practices ◽  
Modern Health Care ◽  
Concept Of Health ◽  
Traditional Health Care ◽  
Primary Means ◽  
Care Practices ◽  
The Village

In all cultures and regions, the concept of health varies, based on the type of environment and prevalent sociocultural traditions. The present study is conducted among the Lepchas of the village of Lingthem divided into two sectors—Upper and Lower Lingthem, Upper Dzongu, North Sikkim. This population comprising Buddhist Lepchas residing away from the mainstream through poor infrastructural facilities still maintain ethnomedical health care practices without influence of major Indian healing systems. Living in the area of Dzongu exclusively inhabited by Lepchas revival of ancient cultural practices is evident among Lepchas of Lingthem. The structure of religious beliefs prevalent among the Lepchas, including traditional animistic as well as Buddhist practices, greatly influence forms of treatment sought for specific ailments. Even today, the use and maintenance of traditional health care with syncretized Buddhist religious belief among residents of Lingthem act as a vital source for understanding the influence of religion on traditional health care practices. Despite the presence of a few modern health care agencies, the traditional treatment of Bongthing (Lepcha shaman) and Buddhist monks remain widely popular as primary means of health care.

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