Between Applauses and Loneliness, Heroes/Warriors and Fear: Thoughts of a Medical Professor During the COVID-19 Pandemic

2020 ◽  
pp. 107780042094105
Author(s):  
Gustavo A. Raimondi

In this performance autoethnography poetry, I report a poem which aims to question the socially constructed concepts and health care practices in times of COVID-19 pandemic. Through my thoughts, questions, answers, and demarcations embodied in my existence as a medical educator/professor/researcher and former (?) physician, I try to enlarge the views of this COVID-19 pandemic, in a context such as the one we are living in Brazil, between the deaths and the denial of the pandemic, in the search to “save the economy.” By playing with my personal/political stories, inviting the readers to think with me about health care, medical education/research, applauses and loneliness, heroes/warriors and fear, and possibilities embodied in our texts, in our lives.

2019 ◽  
Author(s):  
Onur Asan ◽  
Alparslan Emrah Bayrak ◽  
Avishek Choudhury

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.


10.2196/15154 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e15154 ◽  
Author(s):  
Onur Asan ◽  
Alparslan Emrah Bayrak ◽  
Avishek Choudhury

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.


2009 ◽  
Vol 5 (2) ◽  
pp. 133-144 ◽  
Author(s):  
Patricia Geist-Martin ◽  
Catherine Becker ◽  
Summer Carnett ◽  
Katherine Slauta

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.


2021 ◽  
pp. 2455328X2199571
Author(s):  
Manisha Thapa ◽  
Pinak Tarafdar

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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