Role of Artificial Intelligence in Spirituality Among Palliative Care Patients: An Integrative Review
DOI:
https://doi.org/10.5281/zenodo.19672819Keywords:
Artificial Intelligence, Palliative Care, Spirituality, Nursing, Machine Learning, Patient AutonomyAbstract
The integration of Artificial Intelligence (AI) in palliative care nursing has reshaped healthcare delivery, particularly in addressing the holistic needs of patients; aiming to enhance patients' physical, mental, social, and spiritual well-being. This integrative review examines AI’s role in addressing spiritual needs and its effectiveness in improving spiritual care outcomes. A systematic search was conducted in Google Scholar, BASE, CORE, Science Gov, RefSeek, and PubMed using keywords, covering studies from July 2023 to December 2024. Screening based on inclusion and exclusion criteria resulted in twelve (12) studies. PRISMA guidelines and CASP criteria were applied. Findings suggest that AI supports symptom detection, decision-making, and treatment optimization in palliative care. However, concerns about data privacy, trust, and the loss of human connection persist. While AI can enhance nursing practice by reducing workload and providing real-time insights, it should serve as a complement rather than a replacement for patient-centered care. Thus, ethical frameworks and proper training are essential for the responsible integration of AI in end-of-life care. Further research is needed to evaluate AI’s impact on spiritual care while ensuring compassionate, ethical, and patient-centered implementation.
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Abuzaid, M. M., Elshami, W., & Fadden, S. M. (2022). Integration of artificial intelligence into nursing practice. Health and Technology, 12(6), 1109–1115. https://doi.org/10.1007/s12553-022-00697-0
Bahramnezhad, F., & Asgari, P. (2020). Spiritual care for COVID-19 patients: a neglected necessity. Infectious Diseases in Clinical Practice, 29(1), e63. https://doi.org/10.1097/ipc.0000000000000955
Balasubramanian, S., Devarajan, H. R., Raparthi, M., Dodda, S. B., Maruthi, S., & Adnyana, I. M. D. M. (2023, December 24). Ethical Considerations in AI-assisted Decision Making for End-of-Life Care in Healthcare. Retrieved October 28, 2024, from https://www.researchgate.net/publication/377655909_Ethical_Considerations_in_AI-assisted_Decision_Making_for_End-of-Life_Care_in_Healthcare
Bork-Zalewska, J. (2024). An overview of the role of artificial intelligence in palliative care: a quasi-systematic review. Palliative Medicine in Practice. https://doi.org/10.5603/pmp.103020
Cascella, M., Laudani, A., Scarpati, G., & Piazza, O. (2024). Ethical issues in pain and palliation. Current Opinion in Anaesthesiology. https://doi.org/10.1097/aco.0000000000001345
De Panfilis, L., Peruselli, C., Tanzi, S., & Botrugno, C. (2023). AI-based clinical decision-making systems in palliative medicine: ethical challenges. BMJ supportive & palliative care, 13(2), 183–189. https://doi.org/10.1136/bmjspcare-2021-002948
Fardin, M. A. (2020). COVID-19 Epidemic and Spirituality: A Review of the Benefits of Religion in Times of Crisis. Jundishapur Journal of Chronic Disease Care, 9(2). https://doi.org/10.5812/jjcdc.104260
Gray, K. (2023, January 12). Faith After the Pandemic: How COVID-19 Changed American Religion - The Survey Center on American Life. Retrieved from https://www.americansurveycenter.org/research/faith-after-the-pandemic-how-covid-19-changed-american-religion/
Gupta, N., & Gupta, A. (2024). Artificial intelligence: a boon to palliative care providers and cancer patients? Indian Journal of Palliative Care, 30, 187–188. https://doi.org/10.25259/ijpc_218_2024
Jesus, U. M. (2024). Incorporating artificial intelligence in palliative care: opportunities and challenges. Hospice and Palliative Medicine International Journal, 7(3), 81–83. https://doi.org/10.15406/hpmij.2024.07.00244.
Laranjeira, C., Befecadu, F. B. P., Da Rocha Rodrigues, M. G., Larkin, P., Pautex, S., Dixe, M. A., & Querido, A. (2022). Exercising hope in palliative care is celebrating spirituality: Lessons and Challenges in times of Pandemic. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.933767
Liu, Q.; Ho, K.Y.; Lam, K.K.W.; Ho, J.M.C.; Lam, W.; Ma, P.; Abu-Odah, H.; Belay, G.M.; Ling, D.L.; Ching, S.S.; et al. Effectiveness of spiritual interventions on psychological outcomes and quality of life among paediatric patients with cancer: A study protocol for a systematic review. BMJ Open 2023, 13, e070810.
Long HA, French DP, Brooks JM, (2020). Optimizing the value of the critical appraisal skills program (CASP) tool for quality appraisal in qualitative evidence synthesis. Research Methods in Medicine & Health Sciences. 1(1), 31-42, doi:10.1177/2632084320947559.
Lora, L., & Foran, P. (2024). Nurses’ Perceptions of Artificial Intelligence (AI) Integration into Practice: An Integrative review. Australian College of Perioperative Nursing: Journal of Perioperative Nursing, 37(3). Retrieved from https://www.journal.acorn.org.au/cgi/viewcontent.cgi?article=1366&context=jpn
O’Connor, S., Vercell, A., Wong, D., Yorke, J., Fallatah, F. A., Cave, L., & Chen, L. A. (2024). The application and use of artificial intelligence in cancer nursing: A systematic review. European Journal of Oncology Nursing, 68, 102510. https://doi.org/10.1016/j.ejon.2024.102510
Oh, O., Demiris, G., & Ulrich, C. M. (2024). The ethical dimensions of utilizing Artificial Intelligence in palliative care. Nursing Ethics. https://doi.org/10.1177/09697330241296874
Ott, T., Heckel, M., Öhl, N., Steigleder, T., Albrecht, N. C., Christoph, O., & Dabrock, P. (2023). Palliative care and new technologies. The use of smart sensor technologies and its impact on the Total Care principle. BMC Palliative Care, 22(1). https://doi.org/10.1186/s12904-023-01174-9
Presidential Communications Office. (2023, July 22). Retrieved from https://pco.gov.ph/news_releases/pbbm-lifts-state-of-public-health-emergency-throughout-ph-due-to-covid-19/
Quinn, B., & Connolly, M. (2023). Spirituality in palliative care. BMC Palliative Care, 22(1). https://doi.org/10.1186/s12904-022-01116-x
Rosales, R. J. J. (2021). A year of COVID-19 and the spiritual well-being of the people. Journal of Public Health, 43(2), e354–e355. https://doi.org/10.1093/pubmed/fdab071
Safdar, M. R., Akram, M., Ahmad, A., & Ayaz, A. A. (2023). The Role of Religion and Spirituality to Cope with COVID-19 Infections Among People of Lower Socioeconomic Status in Pakistan: An Exploratory Qualitative Study. Journal of Religion and Health. https://doi.org/10.1007/s10943-023-01781-z
Sandham MH, Hedgecock EA, Siegert RJ, et al. Intelligent palliative care based on patient - reported outcomes measures. J Pain Symptoms Manage. 2022; 63(5): 747-757. doi: 10.1016/j.jpainsymman.2021.11.008, indexed in Pubmed: 35026384.
Sawicki, S. K. (2021). Opposing Vitalism and Embracing Hospice: How a Theology of the Sabbath can inform End-of-Life Care. Christian Bioethics Non-Ecumenical Studies in Medical Morality, 27(2), 169–182. https://doi.org/10.1093/cb/cbab008
Shetrit, S. B., Daghash, J., & Sperling, D. (2023, February). The use of artificial intelligence-based technologies in palliative care: advancing patient well-being at the end-of-life and enhancing the implementation of the Dying Patient Act. Retrieved February 9, 2025, from https://www.researchgate.net/publication/378592891_The_Use_of_Artificial_Intelligence-based_Technologies_in_Palliative_Care_Advancing_Patient_Well-being_at_the_End-of-life_and_Enhancing_the_Implementation_of_the_Dying_Patient_Act
Shimada, K., & Tsuneto, S. (2023). Novel method for predicting nonvisible symptoms using machine learning in cancer palliative care. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-39119-0
Srivastava, R., & Srivastava, S. (2023). Can Artificial Intelligence aid communication? Considering the possibilities of GPT-3 in Palliative care. Indian Journal of Palliative Care, 29, 418–425. https://doi.org/10.25259/ijpc_155_2023
Tedja, B., Al Musadieq, M., Kusumawati, A., et al. (2024). Systematic literature review using PRISMA: exploring the influence of service quality and perceived value on satisfaction and intention to continue the relationship. Future Business Journal, 10 (39). . https://doi.org/10.1186/s43093-024-00326-4.
There was an increase in AI during the pandemic. Soon we won’t be able to imagine life without it. (2024, September 10). Retrieved from https://www.weforum.org/stories/2021/02/covid-19-increased-use-of-ai-here-s-why-its-here-to-stay/
Utaria-Munive, J. (2024). Incorporating artificial intelligence in palliative care: opportunities and challenges. Hospice and Palliative Medicine International Journal, 7(3), 81–83. https://doi.org/10.15406/hpmij.2024.07.00244
Vitale, E., Conte, L., Lupo, R., Botti, S., Fanizzi, A., Massafra, R., & De Nunzio, G. (2024). Features of the Nurse-Patient Relationship: Insights from a Qualitative Review Using Artificial Intelligence Interpretation. Current Oncology, 31(12), 7697-7710. https://doi.org/10.3390/curroncol31120567
Wicki, S., Clark, I. C., Amann, M., Christ, S. M., Schettle, M., Hertler, C., . . . Blum, D. (2024). Acceptance of digital health technologies in palliative care patients. Palliative Medicine Reports, 5(1), 34–42. https://doi.org/10.1089/pmr.2023.0062
Wilson, P. M., Ramar, P., Philpot, L. M., Soleimani, J., Ebbert, J. O., Storlie, C. B., . . . Strand, J. (2023). Effect of an artificial intelligence decision support tool on palliative care referral in hospitalized patients: a randomized clinical trial. Journal of Pain and Symptom Management, 66(1), 24–32. https://doi.org/10.1016/j.jpainsymman.2023.02.317
Xie, W., & Butcher, R. (2023, December 1). Artificial Intelligence Decision Support Tools for End-of-Life Care Planning conversations. Retrieved from https://www.ncbi.nlm.nih.gov/books/NBK599854/
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