ARTIFICIAL INTELLEGENCE IN NURSING: A LITERATURE REVIEW

Alpan Habibi, Rr Tutik Sri Haryati

Abstract


Kecerdasan buatan atau Artificial Intellegence (AI) saat ini menjadi bagian di kehidupan kita sehari-hari, tidak terkecuali di dunia keperawatan, seperti penggunaan Personal Digital Assistant (PDA) contohnya pada proses pendokumentasian. Meskipun kita mungkin berpikir tentang suatu imajinasi seperti yang ada di film fiksi, ketika mendengar tentang kecerdasan buatan, masa depan kecerdasan buatan dalam keperawatan sungguh sangat nyata. Dengan peningkatan besar dalam informasi terdokumentasi dan data pasien, perangkat lunak intelijen dan perhitungan data ini adalah suatu keharusan. Sementara kemajuan dalam kecerdasan buatan, cara pengkajian, proses keperawatan, dan sistem pendokumentasian, telah mengubah bidang keperawatan dalam banyak hal yang menjadikan berbagai hal tersebut menjadi suatu keuntungan ataupun peluang. Namun sejumlah tantangan juga harus direspon dan diatasi, sebagai prediksi dan antisipasi dari penerapan teknologi AI dalam keperawatan, sehingga meningkatkan efektifitas kinerja, mengefisiensikan pelayanan keperawatan, serta dapat menjaga keamanan dan kerahasiaan data pasien.

Kata kunci: Artificial Intelligence, Keuntungan, Peluang, Tantangan


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References


Alami, H., Lehoux, P., Auclair, Y., de Guise, M., Gagnon, M. P., Shaw, J., … Fortin, J. P. (2020). Artificial intelligence and health technology assessment: Anticipating a new level of complexity. Journal of Medical Internet Research, 22(7), 1–12. https://doi.org/10.2196/17707

Bile, I., & Abdulahi, A. (2020). Ethical Concerns about the Applications of Artificial Intelligence in Healthcare Practices: An Explanatory Review. Revelation and Science, 10(02), 9–17.

Cooper PB, Hughes BJ, Verghese GM, Just JS & Markham AJ. (2021). Implementation of an automated sepsis screening tool in a community hospital setting. J Nurs Care Qual. 2021, 36:132-6. 10.1097/NCQ.0000000000000501.

Hazarika, I. (2020). Artificial intelligence: Opportunities and implications for the health workforce. International Health, 12(4), 241–245. https://doi.org/10.1093/INTHEALTH/IHAA007

Hee Lee, D., & Yoon, S. N. (2021). Application of artificial intelligence-based technologies in the healthcare industry: Opportunities and challenges. International Journal of Environmental Research and Public Health, 18(1), 1–18. https://doi.org/10.3390/ijerph18010271

Kuo, K. M., Liu, C. F., & Ma, C. C. (2013). An investigation of the effect of nurses’ technology readiness on the acceptance of mobile electronic medical record systems. BMC Medical Informatics and Decision Making, 13(1), 1–14. https://doi.org/10.1186/1472-6947-13-88

Lu, Y. (2019). Application of Artificial Intelligence in Health Care : Advantages and Challenges.

Lupton, M. (2018). Some ethical and legal consequences of the application of artificial intelligence in the field of medicine. Trends in Medicine, 18(4), 1–7. https://doi.org/10.15761/tim.1000147

Marlon, R., Gautama, J., Renando, R., & ... (2020). Penerapan Artificial Inteligence (AI) pada Robot Asuhan Keperawatan NAR dalam Peningkatan Efektivitas Kinerja Kerja di Rumah Sakit. Journal of Information …, 01(02), 169–175. Retrieved from https://journal.uib.ac.id/index.php/joint/article/view/4319

McGrow, K. (2019). Artificial intelligence: Essentials for nursing. Nursing, 49(9), 46–49. https://doi.org/10.1097/01.NURSE.0000577716.57052.8d

Mead, L. (2018). Global Summit Focuses on The Role of Artificial Intelligence in Advancing SDGs. SDG knowledge hub [accessed 10 August 2019]. Available at: http://sdg.iisd.org/news/global-summit-focuses-on-the-role-of-artificial-intelligence-in- advancing-sdgs/

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

Rina, D. (2020). Pencegahan Penyebaran Virus Corona di Bandara Menggunakan Artificial Intellegence. STRING (Satuan Tulisan Riset Dan Inovasi Teknologi), 5(1), 94. https://doi.org/10.30998/string.v5i1.6199

Rizki, S. N., & Maulana, A. (2018). Artificial Intellegence Untuk Mendeteksi Penyakit Kelenjar Getah Bening. Jurnal Ilmiah Informatika, 6(1), 54–61.

Roberts, N. (2019). How artificial intelligence works. Nursing Management, 3(March), 10.

Saini, A. (2016). Artificial Intelligence a Threat. IAES International Journal of Artificial Intelligence (IJ-AI), 5(3), 117. https://doi.org/10.11591/ijai.v5.i3.pp117-118

Shang, Z. (2021). A Concept Analysis on the Use of Artificial Intelligence in Nursing. Cureus, 13(5). https://doi.org/10.7759/cureus.14857




DOI: http://dx.doi.org/10.31000/jkft.v6i2.5614

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