AI with a Heart: THE Pillars of Technology, Humanity and Environment for Responsible Integration of AI along the Patient Journey
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Standard
Proceedings of the 59th Hawaii International Conferenmce in System Sciences (HICSS-59). Hrsg. / Tung X Bui. University of Hawaii at Manoa, 2026. S. 3577-3587 (Proceedings of the Hawaii International Conference on System Sciences).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - CHAP
T1 - AI with a Heart
T2 - 59th Hawaii International Conference on System Sciences
AU - Papst, Alexander
AU - Maschewski, Jan
AU - Lemmer, Kristina
PY - 2026/1/6
Y1 - 2026/1/6
N2 - Artificial Intelligence (AI) holds great promise for transforming patient care, yet its integration often neglects the lived experiences of patients. This paper explores how AI can be responsibly applied to support patient-centered care across the patient journey. Drawing on twelve expert interviews with researchers and practitioners from the fields of AI and healthcare, we identify both critical potentials and challenges of AI deployment across care phases – as from symptom awareness to aftercare. Findings reveal three foundational pillars – Technology, Humanity, and Environment (THE) – that frame responsible AI use. Results emphasize the importance of explainability, human-in-the-loop systems, inclusive design, and institutional alignment. We develop a conceptual framework that maps context-specific AI applications along the patient journey and derive guiding principles for their responsible use. The study contributes by complementing socio-technical perspectives with relational and ethical dimensions, and offers practical orientation for aligning AI deployment with clinical realities and infrastructural constraints in healthcare.
AB - Artificial Intelligence (AI) holds great promise for transforming patient care, yet its integration often neglects the lived experiences of patients. This paper explores how AI can be responsibly applied to support patient-centered care across the patient journey. Drawing on twelve expert interviews with researchers and practitioners from the fields of AI and healthcare, we identify both critical potentials and challenges of AI deployment across care phases – as from symptom awareness to aftercare. Findings reveal three foundational pillars – Technology, Humanity, and Environment (THE) – that frame responsible AI use. Results emphasize the importance of explainability, human-in-the-loop systems, inclusive design, and institutional alignment. We develop a conceptual framework that maps context-specific AI applications along the patient journey and derive guiding principles for their responsible use. The study contributes by complementing socio-technical perspectives with relational and ethical dimensions, and offers practical orientation for aligning AI deployment with clinical realities and infrastructural constraints in healthcare.
KW - Business informatics
KW - Artificial Intelligence (AI)
KW - Patient Journey
KW - Patient-centered care
KW - Responsibility
KW - Digital health
KW - artificial intelligence
KW - digital health
KW - patient-centered care
KW - patient journey
KW - responsibility
M3 - Article in conference proceedings
T3 - Proceedings of the Hawaii International Conference on System Sciences
SP - 3577
EP - 3587
BT - Proceedings of the 59th Hawaii International Conferenmce in System Sciences (HICSS-59)
A2 - Bui, Tung X
PB - University of Hawaii at Manoa
Y2 - 6 January 2026 through 9 January 2026
ER -