AI with a Heart: THE Pillars of Technology, Humanity and Environment for Responsible Integration of AI along the Patient Journey

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

AI with a Heart: THE Pillars of Technology, Humanity and Environment for Responsible Integration of AI along the Patient Journey. / Papst, Alexander; Maschewski, Jan; Lemmer, Kristina.
Proceedings of the 59th Hawaii International Conferenmce in System Sciences. 2026. p. 3577-3587.

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Papst, A, Maschewski, J & Lemmer, K 2026, AI with a Heart: THE Pillars of Technology, Humanity and Environment for Responsible Integration of AI along the Patient Journey. in Proceedings of the 59th Hawaii International Conferenmce in System Sciences. pp. 3577-3587, 59th Hawaii International Conference on System Sciences, Lahaina, United States, 06.01.26.

APA

Papst, A., Maschewski, J., & Lemmer, K. (2026). AI with a Heart: THE Pillars of Technology, Humanity and Environment for Responsible Integration of AI along the Patient Journey. In Proceedings of the 59th Hawaii International Conferenmce in System Sciences (pp. 3577-3587)

Vancouver

Papst A, Maschewski J, Lemmer K. AI with a Heart: THE Pillars of Technology, Humanity and Environment for Responsible Integration of AI along the Patient Journey. In Proceedings of the 59th Hawaii International Conferenmce in System Sciences. 2026. p. 3577-3587

Bibtex

@inbook{e1c72781f6894c39852b7418af6c8131,
title = "AI with a Heart: THE Pillars of Technology, Humanity and Environment for Responsible Integration of AI along the Patient Journey",
abstract = "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.",
keywords = "Business informatics, Artificial Intelligence (AI), Patient Journey, Patient-centered care, Responsibility, Digital health",
author = "Alexander Papst and Jan Maschewski and Kristina Lemmer",
year = "2026",
month = jan,
day = "6",
language = "English",
pages = "3577--3587",
booktitle = "Proceedings of the 59th Hawaii International Conferenmce in System Sciences",
note = "59th Hawaii International Conference on System Sciences, HICSS 2026 ; Conference date: 06-01-2026 Through 09-01-2026",

}

RIS

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T1 - AI with a Heart: THE Pillars of Technology, Humanity and Environment for Responsible Integration of AI along the Patient Journey

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

M3 - Article in conference proceedings

SP - 3577

EP - 3587

BT - Proceedings of the 59th Hawaii International Conferenmce in System Sciences

T2 - 59th Hawaii International Conference on System Sciences

Y2 - 6 January 2026 through 9 January 2026

ER -