Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective
Continuous monitoring of patients’ health facilitated by artificial intelligence (AI) has enhanced the quality of health care, that is, the ability to access effective care. However, AI monitoring often encounters resistance to adoption by decision makers. Healthcare organizations frequen...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-01-01
|
| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2025/1/e51785 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832575587616555008 |
|---|---|
| author | Karl Werder Lan Cao Eun Hee Park Balasubramaniam Ramesh |
| author_facet | Karl Werder Lan Cao Eun Hee Park Balasubramaniam Ramesh |
| author_sort | Karl Werder |
| collection | DOAJ |
| description |
Continuous monitoring of patients’ health facilitated by artificial intelligence (AI) has enhanced the quality of health care, that is, the ability to access effective care. However, AI monitoring often encounters resistance to adoption by decision makers. Healthcare organizations frequently assume that the resistance stems from patients’ rational evaluation of the technology’s costs and benefits. Recent research challenges this assumption and suggests that the resistance to AI monitoring is influenced by the emotional experiences of patients and their surrogate decision makers. We develop a framework from an emotional perspective, provide important implications for healthcare organizations, and offer recommendations to help reduce resistance to AI monitoring. |
| format | Article |
| id | doaj-art-6648125ae86d43caab525d2aac2652ba |
| institution | Kabale University |
| issn | 1438-8871 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | Journal of Medical Internet Research |
| spelling | doaj-art-6648125ae86d43caab525d2aac2652ba2025-01-31T20:30:35ZengJMIR PublicationsJournal of Medical Internet Research1438-88712025-01-0127e5178510.2196/51785Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based PerspectiveKarl Werderhttps://orcid.org/0000-0001-8481-1596Lan Caohttps://orcid.org/0000-0002-3860-7639Eun Hee Parkhttps://orcid.org/0000-0002-9831-8951Balasubramaniam Rameshhttps://orcid.org/0000-0001-9629-328X Continuous monitoring of patients’ health facilitated by artificial intelligence (AI) has enhanced the quality of health care, that is, the ability to access effective care. However, AI monitoring often encounters resistance to adoption by decision makers. Healthcare organizations frequently assume that the resistance stems from patients’ rational evaluation of the technology’s costs and benefits. Recent research challenges this assumption and suggests that the resistance to AI monitoring is influenced by the emotional experiences of patients and their surrogate decision makers. We develop a framework from an emotional perspective, provide important implications for healthcare organizations, and offer recommendations to help reduce resistance to AI monitoring.https://www.jmir.org/2025/1/e51785 |
| spellingShingle | Karl Werder Lan Cao Eun Hee Park Balasubramaniam Ramesh Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective Journal of Medical Internet Research |
| title | Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective |
| title_full | Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective |
| title_fullStr | Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective |
| title_full_unstemmed | Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective |
| title_short | Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective |
| title_sort | why ai monitoring faces resistance and what healthcare organizations can do about it an emotion based perspective |
| url | https://www.jmir.org/2025/1/e51785 |
| work_keys_str_mv | AT karlwerder whyaimonitoringfacesresistanceandwhathealthcareorganizationscandoaboutitanemotionbasedperspective AT lancao whyaimonitoringfacesresistanceandwhathealthcareorganizationscandoaboutitanemotionbasedperspective AT eunheepark whyaimonitoringfacesresistanceandwhathealthcareorganizationscandoaboutitanemotionbasedperspective AT balasubramaniamramesh whyaimonitoringfacesresistanceandwhathealthcareorganizationscandoaboutitanemotionbasedperspective |