TY - CHAP
T1 - Perspectives on Human-AI Interaction Applied to Health and Wellness Management
T2 - Between Milestones and Hurdles
AU - Sqalli, Mohammed Tahri
AU - Al-Thani, Dena
AU - Qaraqe, Marwa
AU - Fernandez-Luque, Luis
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Across the globe, the demand over a good quality healthcare is in the rise. Patients require rigorous treatments and thorough followups. Meanwhile, the advent of artificial intelligence has opened up various opportunities for healthcare providers to meet their patients’ demands. With the use of artificial intelligence, data can be harnessed to provide digital guidance, design care management programs, as well as predict the upcoming health crisis. While artificial intelligence for managing patients’ health and well-being may seem ready to be implemented, patients as well as health institutions still devote a preponderant importance to the clinician at the center of care. In this chapter, we explore the position of artificial intelligence in the management of health and well-being, where the human (patient) to human (clinician) interaction is key to its success. Yet, patients feel ready to get support from artificial intelligence. We first describe opportunities of how artificial intelligence is already used in the management of patients’ health. We then describe the hurdles impeding the Human-AI interaction between the artificial intelligent health management systems and the user.
AB - Across the globe, the demand over a good quality healthcare is in the rise. Patients require rigorous treatments and thorough followups. Meanwhile, the advent of artificial intelligence has opened up various opportunities for healthcare providers to meet their patients’ demands. With the use of artificial intelligence, data can be harnessed to provide digital guidance, design care management programs, as well as predict the upcoming health crisis. While artificial intelligence for managing patients’ health and well-being may seem ready to be implemented, patients as well as health institutions still devote a preponderant importance to the clinician at the center of care. In this chapter, we explore the position of artificial intelligence in the management of health and well-being, where the human (patient) to human (clinician) interaction is key to its success. Yet, patients feel ready to get support from artificial intelligence. We first describe opportunities of how artificial intelligence is already used in the management of patients’ health. We then describe the hurdles impeding the Human-AI interaction between the artificial intelligent health management systems and the user.
KW - Digital medicine
KW - Health informatics
KW - Human-AI interaction
KW - Machine learning
UR - https://www.scopus.com/pages/publications/85112529720
U2 - 10.1007/978-3-030-67303-1_4
DO - 10.1007/978-3-030-67303-1_4
M3 - Chapter
AN - SCOPUS:85112529720
T3 - Lecture Notes in Bioengineering
SP - 41
EP - 51
BT - Lecture Notes in Bioengineering
PB - Springer Science and Business Media Deutschland GmbH
ER -