j public health nurs Halk Sağlığı Hemşireliği Dergisi 2667-8047 Halk Sağlığı Hemşireliği Derneği 10.54061/jphn.1820187 Public Health Nursing Halk Sağlığı Hemşireliği Yapay Zekâ ile Palyatif Bakımda Yenilikler: Hemşirelik Uygulamaları ve Karşılaşılan Zorluklar Innovations in Palliative Care with Artificial Intelligence: Nursing Practices and Challenges https://orcid.org/0000-0003-0542-3152 Çapuk Hüseyin ŞIRNAK ÜNİVERSİTESİ 04 27 2026 8 1 49 56 11 08 2025 03 10 2026 Copyright © 2019, Halk Sağlığı Hemşireliği Dergisi 2019 Halk Sağlığı Hemşireliği Dergisi

Bu çalışma 2016-2025 yılları arasında yayınlanmış çalışmaları incelemek amacıyla yapılan bir literatür derleme çalışmasıdır. Bu çalışmanın amacı, palyatif bakımda yapay zeka teknolojilerinin sunduğu fırsatlar ve karşılaşılan zorlukları ortaya koymaktır. Bu derleme 2016-2025 yılları arasında PubMed ve Google Scholar veritabanlarında "palliative care and artificial intelligence" ve "palyatif bakım ve yapay zeka" gibi anahtar kelimeleri ile taranmıştır. İlk tarama sonucunda 747 kayıt (PubMed: 541, Google Scholar: 206) belirlenmiş, tekil çıkarımı ve başlık/özet taramasından sonra 43 çalışma nihai analize dahil edilmiştir. PRISMA-ScR kılavuzuna uygun olarak yürütülen çalışmada, veriler teknoloji türü ve klinik uygulama alanlarına göre tematik olarak raporlanmıştır. Palyatif bakım, yaşamı tehdit eden hastalıkların ileri aşamalarında hastalar ve aileleri için yaşam kalitesini artırmayı hedefleyen kapsamlı bir sağlık hizmeti modelidir. Günümüzde yapay zeka teknolojilerinin gelişmesi ile palyatif bakımda kullanımı artmıştır. Palyatif bakımda yapay zeka teknolojinin kullanılması hemşireler için bakım kalitesinin artmasına önemli fırsatlar sunarken etik zorluklar ve hasta bakımında yaşanabilecek olası sorunlar devam etmektedir. Bu nedenle bu derleme, hemşirelerin palyatif bakımda kaliteli hizmet sunabilmesi için yapay zekâ teknolojilerinin sunduğu fırsatları ve zorlukları ortaya koymayı amaçlamaktadır.

This study is a literature review conducted to examine studies published between 2016 and 2025. This study aims to highlight the opportunities and challenges presented by artificial intelligence technologies in palliative care. This review was conducted by searching PubMed and Google Scholar databases between 2016 and 2025 using keywords such as “palliative care and artificial intelligence” and “palliative care and artificial intelligence.” The initial search yielded 747 records (PubMed: 541, Google Scholar: 206), and after duplicate removal and title/abstract screening, 43 studies were included in the final analysis. Conducted in accordance with the PRISMA-ScR guideline, the data were reported thematically according to technology type and clinical application areas.Palliative care is a comprehensive healthcare model that aims to improve the quality of life for patients and their families in the advanced stages of life-threatening illnesses. With the development of artificial intelligence technologies today, its use in palliative care has increased. The use of artificial intelligence technology in palliative care offers significant opportunities for nurses to improve the quality of care, while ethical challenges and potential problems in patient care continue. Therefore, this review aims to highlight the opportunities and challenges offered by artificial intelligence technologies for nurses to provide quality services in palliative care.

 Hemşirelik palyatif bakım dijital sağlık yapay zekâ Nursing palliative care digital health artificial ıntelligence Admane, S., Kim, M. J., Reddy, A., Tang, M., Chang, Y. K., Shih, K. K., . . . Hui, D. (2025). Performance of three conversational artificial ıntelligence agents in defining end-of-life care terms. Journal of palliative medicine, 28(8), 1102-1107. https://doi.org/10.1089/jpm.2024.0526 Aslan, F., & Subaşı, A. (2022). Hemşirelik eğitimi ve hemşirelik süreci perspektifinden yapay zekâ teknolojilerine farklı bir bakış. Sağlık Bilimleri Üniversitesi Hemşirelik Dergisi, 4(3), 153-158. https://doi.org/10.48071/sbuhemsirelik.1109187 Baloğlu, K. A., Kaplancalı, U. T., & Kılıç, S. (2019). Bakıma ihtiyaç duyan yaşlılar için yardımcı sosyal robot araştırması ve analizi. Avrupa Bilim ve Teknoloji Dergisi, 1-8. https://doi.org/10.31590/ejosat.626045 Bowles, K. H., Brickner, C., & Luth, E. A. (2024). Using generative aı to translate administrative claims data into narrative summaries for palliative care needs assessment: A case study. In Innovation in Applied Nursing Informatics (pp. 547-551): IOS Press. Bressler, T., Song, J., Kamalumpundi, V., Chae, S., Song, H., & Tark, A. (2025). Leveraging artificial ıntelligence/machine learning models to ıdentify potential palliative care beneficiaries: a systematic review. Journal of Gerontological Nursing, 51(1), 7-14. https://doi.org/10.3928/00989134-20241210-01 Buchanan, C., Howitt, M. L., Wilson, R., Booth, R. G., Risling, T., & Bamford, M. (2020). Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review. JMIR Nursing, 3(1), e23939. https://doi.org/10.2196/23939 Can, B. (2023). Demografik geçiş sürecinin epistemolojisi ve nüfus yaşlanmasına ilişkin genel bir değerlendirme. Sosyal Politika Çalışmaları Dergisi, 23(60), 495-543. https://doi.org/10.21560/spcd.vi.1162445 Carroll, W. (2018). Artificial intelligence, nurses and the quadruple aim. Online Journal of Nursing Informatics, 22(2). Retrieved from https://www.researchgate.net/publication/329250299_Artificial_intelligence_nurses_and_the_Quadruple_Aim Computers and robots: decision-makers in an automated world. Retrieved from https://cs.stanford.edu/people/eroberts/cs201/projects/2010-11/ComputersMakingDecisions/index.html. Erişim Tarihi 29.09.2024 Daungsupawong, H., & Wiwanitkit, V. (2025). Re: debunking palliative care myths: assessing the performance of artificial ıntelligence chatbots (chatgpt vs. google gemini). Indian Journal of Palliative Care, 31(1), 86-87. https://doi.org/10.25259/IJPC_44_2024 Gibelli, F., Ricci, G., Sirignano, A., Turrina, S., & De Leo, D. (2021). The ıncreasing centrality of robotic technology in the context of nursing care: Bioethical ımplications analyzed through a scoping review approach. Journal of Healthcare Engineering, 28, 1478025. https://doi.org/10.1155/2021/1478025Dijital Gondode, P. G., Mahor, V., Rani, D., Ramkumar, R., & Yadav, P. (2024). Debunking palliative care myths: assessing the performance of artificial ıntelligence chatbots (chatgpt vs. google gemini). Indian Journal of Palliative Care, 30(3), 284-287. https://doi.org/10.25259/ijpc_44_2024 Gökalp, M. G., & Üzer, M. A. (2024). Yapay zeka çağında hemşirelik bakımı. Sağlık Bilimleri Üniversitesi Hemşirelik Dergisi, 6(1), 89-94. https://doi.org/10.48071/sbuhemsirelik.1349981 Gupta, N., & Gupta, A. (2024). Artificial Intelligence: A boon to palliative care providers and cancer patients? Indian Journal of Palliative Care, 30(3), 187-188. https://doi.org/10.25259/ijpc_218_2024 Güngördü, N. D., Akbal, Y., Üstün, Ç., & Başaran, A. (2024). Palyatif bakım ünitesinde ölüm sürecindeki müdahale ve bakımda hemşireleri etkileyen faktörler: fenomenolojik çalışma. Ege Tıp Dergisi, 63(2), 282-291. https://doi.org/10.19161/etd.1360184 Khalifa, M., & Albadawy, M. (2024). Artificial intelligence for clinical prediction: exploring key domains and essential functions. Computer Methods and Programs in Biomedicine Update, 5, 100148. https://doi.org/10.1016/j.cmpbup.2024.100148 Kundakçı, Ş. Ç. (2023). Yaşlı bakımında yapay zekâ kullanımı. Doğu Karadeniz Sağlık Bilimleri Dergisi, 2(2), 77-87. https://doi.org/10.59312/ebshealth.1318150 Matsukuma, K., Yamazaki, M., Kanda, S., & Maruyama, T. (2000). An autonomous mobile robot for carrying food trays to the aged and disabled. Advanced Robotics, 14(5), 385-388. https://doi.org/10.1163/156855300741681 Moran, S., Bailey, M. E., & Doody, O. (2024). Role and contribution of the nurse in caring for patients with palliative care needs: A scoping review. Public Library of Science one, 19(8), e0307188. https://doi.org/10.1371/journal.pone.0307188 Nair, D., & Raveendran, K. U. (2024). Consumer satisfaction, palliative care and artificial intelligence (AI). BMJ Supportive & Palliative Care, 14(2), 171-177. https://doi.org/10.1136/spcare-2023-004634 Nwosu, A. C., Sturgeon, B., McGlinchey, T., Goodwin, C. D., Behera, A., Mason, S., . . . Payne, T. R. (2019). Robotic technology for palliative and supportive care: Strengths, weaknesses, opportunities and threats. Palliative medicine, 33(8), 1106-1113. https://doi.org/10.1177/0269216319857628 O'Connor, S., Vercell, A., Wong, D., Yorke, J., Fallatah, F. A., Cave, L., & Anny Chen, L. Y. (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, 32, 1285-1296. https://doi.org/10.1177/09697330241296874 Ott, T., Heckel, M., Öhl, N., Steigleder, T., Albrecht, N. C., Ostgathe, C., & 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), 50. https://doi.org/10.1186/s12904-023-01174-9 Pepito, J. A., Ito, H., Betriana, F., Tanioka, T., & Locsin, R. C. (2020). Intelligent humanoid robots expressing artificial humanlike empathy in nursing situations. Nursing Philosophy, 21(4), e12318. https://doi.org/10.1111/nup.12318 Pepito, J. A., & Locsin, R. (2019). Can nurses remain relevant in a technologically advanced future? International Journal of Nursing Sciences, 6(1), 106-110. https://doi.org/10.1016/j.ijnss.2018.09.013 Peruselli, C., De Panfilis, L., Gobber, G., Melo, M., & Tanzi, S. (2020). Artificial intelligence and palliative care: opportunities and limitations. Recenti Progressi in Medicina, 111(11), 639-645. https://doi.org/10.1701/3474.34564 Peruselli, C., De Panfilis, L., Gobber, G., Melo, M., & Tanzi, S. (2020). Intelligenza artificiale e cure palliative: opportunità e limiti. Recenti Progressi in Medicina, 111(11), 639. https://doi.org/10.1701/3474.34564 Pierre, K., Gupta, M., Raviprasad, A., Sadat Razavi, S. M., Patel, A., Peters, K., . . . Forghani, R. (2023). Medical imaging and multimodal artificial intelligence models for streamlining and enhancing cancer care: opportunities and challenges. Expert Review of Anticancer Therapy, 23(12), 1265-1279. https://doi.org/10.1080/14737140.2023.2286001 Reddy, V., Nafees, A., & Raman, S. (2023). Recent advances in artificial intelligence applications for supportive and palliative care in cancer patients. Current Opinion in Supportive and Palliative Care, 17(2), 125-134. https://doi.org/10.1097/spc.0000000000000645 Ronquillo, C. E., Peltonen, L. M., Pruinelli, L., Chu, C. H., Bakken, S., Beduschi, A., . . . Topaz, M. (2021). Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative. Journal of Advanced Nursing, 77(9), 3707-3717. https://doi.org/10.1111/jan.14855 Shi, K., Steigleder, T., Schellenberger, S., Michler, F., Malessa, A., Lurz, F., . . . Koelpin, A. (2021). Contactless analysis of heart rate variability during cold pressor test using radar interferometry and bidirectional LSTM networks. Scientific reports, 11(1), 3025. https://doi.org/10.1038/s41598-021-81101-1 Shi, K., Will, C., Steigleder, T., Michler, F., Weigel, R., Ostgathe, C., & Koelpin, A. (2018). A contactless system for continuous vital sign monitoring in palliative and intensive care. Paper presented at the 2018 Annual IEEE International Systems Conference (SysCon). 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(4), 418-425. https://doi.org/10.25259/ijpc_155_2023 Şendir, M., Şimşekoğlu, N., Kaya, A., & Sümer, K. (2019). Geleceğin teknolojisinde hemşirelik. Sağlık Bilimleri Üniversitesi Hemşirelik Dergisi, 1(3), 209-214. https://izlik.org/JA88AH77UE Vasquez, B., Moreno-Lacalle, R., Soriano, G. P., Juntasoopeepun, P., Locsin, R. C., & Evangelista, L. S. (2023). Technological machines and artificial intelligence in nursing practice. Nursing & Health Sciences, 25(3), 474-481. https://doi.org/10.1111/nhs.13029 WHO, D. S. Ö. (2020). Palyatif bakım Retrieved from https://www.who.int/news-room/fact-sheets/detail/palliative-care. Erişim Tarihi 28.09.2024 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 ıntelligence 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 Windisch, P., Hertler, C., Blum, D., Zwahlen, D., & Förster, R. (2020). Leveraging advances in artificial ıntelligence to ımprove the quality and timing of palliative care. Cancers (Basel), 12(5). https://doi.org/10.3390/cancers12051149 Xie, W., & Butcher, R. (2023). Artificial intelligence decision support tools for end-of-life care planning conversations. Canadian Journal of Health Technologies, 3(12). https://www.ncbi.nlm.nih.gov/books/NBK599854/ Xu, T., & Rose, G. M. (2025). Opportunities and barriers to artificial ıntelligence adoption in palliative/hospice care for underrepresented groups: a technology acceptance model-based review. Journal of Hospice and Palliative Nursing, 27(4), E160-E179. 10.1097/njh.0000000000001120