Geleceğin Teknolojisinde Hemşirelik

Yıl 2019, Cilt: 1 Sayı: 3, 209 - 214, 25.12.2019

Merdiye Şendir , Nesibe Şimşekoğlu Abdulsamed Kaya , Kamber Sümer

Öz

Sağlık hizmetleri üretiminde yararlanılan teknolojilerde görülen gelişmeler hasta birey ve yakınları ile bu teknolojileri kullanan sağlık profesyonellerinin davranış biçimlerini de değiştirmektedir. Profesyonel sağlık ekibi içinde vazgeçilmez yeri olan hemşirelerin teknolojiyi anlama ve nasıl kullanılacağını keşfetme konusunda çaba sarf etmeleri mesleki gelişimleri açısından önemlidir. Teknolojideki gelişmeler hemşirelerin görevlerini daha etkin yerine getirmelerine, sağlık bakımı hizmetlerini daha verimli ve güvenli bir şekilde sunmalarına yardımcı olmaktadır. Geleceğin teknolojik gelişmeleri, hemşireleri mesleğinden etmese de meslek üzerinde ciddi etkileri olacağı açıktır. Hemşireler gelecekte rutin işleri devredecek ve bakım gibi karmaşık işlere daha fazla zaman ayıracaktır. Bu durum bakım kalitesini olumlu etkileyeceği gibi bazı işleri devralan yapay zekâ teknolojisine sahip robotik cihazların belli bir oranda da günümüz hemşireliğine olan gereksinimi azaltacaktır. Makinelere şefkat ve empati modellemek çok zor olduğundan robotların sınırlı kalacağı en önemli alanın duygusal boyut olacağı öngörülmektedir. Bu derleme, teknolojik gelişmeler ışığında insansı robotların profesyonel hemşirelik uygulamalarına yönelik etkilerine ilişkin sorunları, görüşleri ve önerileri açıklamak amacıyla hazırlanmıştır.

Anahtar Kelimeler

hemşire, teknoloji, yapay zeka

Nursing in Future Technology

Öz

Developments
in the technologies used in health services production change the behavior of
patients and their relatives and health professionals using these techniques.
It is important for the nurses who have an indispensable place in the
professional health team to make an effort to understand the technology and discover
how to use it. Developments in technology aim to help nurses perform their
duties and provide more efficient and safe care for patients. It is clear that
the technological developments of the future will have serious effects on the
nurses even if they do not. Nurses will transfer routine jobs in the future and
spend more time on complex tasks such as care. This will affect the quality of
care positively as well as reduce the need for today's nursing to a certain
extent of robotic devices with artificial intelligence technology taking over
some jobs. Because it is very difficult to model compassion and empathy to
machines, it is predicted that the most important area where robots will be
limited will be emotional dimension. This review is written in order to explain
the problems, opinions and suggestions related to the effects of humanoid
robots on professional nursing practices in the light of technological
developments.

Anahtar Kelimeler

Artificial intelligence, nursing, technology

Kaynakça

• Alfaro Le Fevre, R. (2011). Critical Thinking, Clinical Reasoning, and Clinical Judgment. 5. Florida: Saunders.
• Andersson, EK., Willman, A., Strand, A., ve ark. (2015). Registered nurses’ descriptions of caring: a phenomenographic interview study. Bio Med Central Nursing, 14,16-26 doi:10.1186/s12912-015-0067-9
• Asada, M. (2015). Development of artificial empathy. Neuroscience Research, 90,41-50. doi:10.1016/j.neures.2014.12.002
• Başar, A., Tarihçi Delice, S., İlhan, MN., ve ark. (2008). Hemşirelik hizmetlerinde bilgisayar kullanımı-Gazi Üniversitesi Tıp Fakültesi Hastanesi örneği. Bilişim Teknolojileri Dergisi, 1,43-44. doi:10.17671/ btd.26991
• Bini, SA. (2018). Artificial intelligence, machine learning, deep learning, and cognitive computing: what do these terms mean and how will they impact health care. The Journal of Arthroplasty. 33,2358-2361. doi:10.1016/j.arth.2018.02.067
• Boz Yüksekdağ, B. (2015). Hemşirelik eğitiminde bilgisayar teknolojisinin kullanımı. Açıköğretim Uygulamaları ve Araştırmaları Dergisi, 1,103-118. Bryk, W. (2015). Artificial superintelligence: the coming revolution. Harvard Science Review,4
• Clipper, B., Batcheller, J., Thomaz, AL., et al. (2018). Artificial intelligence and robotics: a nurse leader’s primer. Nurse Leader, 16,379-384. doi: 10.1016/j.mnl.2018.07.015
• Çakırlar, A., ve Mendi, B., (2016). Hemşirelerin elektronik sağlık kaydı ve bilişim uygulamaları kapsamındaki bilgi ve tutumlarının değerlendirilmesi. Demiroğlu Bilim Üniversitesi Florence Nightingale Tıp Dergisi, 2,32-39. doi:10.5606/fng.btd.2016.007
• Dilsizian, SE., & Siegel, EL. (2014). Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment. Current Cardiology Reports, 16,441-449. doi:10.1007/s11886-013-0441-8
• Erikson, H., & Salzmann Erikson, M. (2016). Future challenges of robotics and artificial intelligence in nursing: What can we learn from monsters in popular culture? The Permanente Journal, 20,15-17. doi: 10.7812/TPP/15-243
• Funk, M. (2011). As health care technology advances: benefits and risks. American Journal of Critical Care, 20, 285-291. doi: 10.4037/ ajcc2011810
• Goodchild, M. (2018). Does technology really enhance nurse education? Nurse Education Today. 66,69–72. doi: https://doi.org/10.1016/j. nedt.2018.04.005
• Gonzalez Jimenez, H. (2018). Taking the fiction out of science fiction: (Self-aware) robots and what they mean for society, retailers and marketers. Futures, 98,49-56. doi: 10.1016/j.futures.2018.01.004
• Gözgü, F., ve Mutioğlu, H. (2012). Toplumun değişen yüzü: bilgi toplumu ve bilişim kültürü. Journal of Life Sciences, 1,465-476.
• Hamer, S., & Cipriano, P. (2013). Involving nurses in developing new technology. Nurs Times, 109,18-19.
• Hojat, M. (2016). Empathy in Health Professions Education and Patient. 15. Philadelphia:Springer.
• International Data Corporation. (2019). Worldwide artifical intelligence systems spending forecast by technology group year over year growth. Erişim tarihi 01.02.2019, https://www.idc.com/
• Jiang, F., Jiang, Y., Zhi, H., et al. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology, 2,230-243. doi: 10.1136/svn-2017-000101
• Kolker, E., Özdemir, V., Kolker, E. (2016). How healthcare can refocus on its supercustomers (patients, n: 1) and customers (doctors and nurses) by leveraging lessons from Amazon, Uber, and Watson. Omics a Journal of Integrative Biology, 20,329-333. doi:10.1089/omi.2016.0077
• Lee. CS., Nagy, PG., Weaver, SJ., et al. (2013). Cognitive and System Factors Contributing to Diagnostic Errors in Radiology. American Journal of Roentgenology, 201,611-617. doi:10.2214/AJR.12.10375
• Locsin, RC., & Ito, H. (2018). Can Humanoid Nurse Robots Replace Human Nurses? Journal of Nursing, 5,1-6. doi:10.7243/2056-9157-5-1
• McKinsey Global Institute. (2017). Jobs lost, jobs gained: Workforce transitions in a time of automation. Erişim tarihi 10.02.2019, https:// link.springer.com/article/10.1007/s41027-018-0137-0.
• Mark, D. (2013). Technology, information, and the nursing workfoce. American Nurse Today, 8:16-17.
• Neill, DB. (2013). Using artificial intelligence to improve hospital inpatient care. IEEE Intelligent Systems, 28, 92-95. doi:10.1109/MIS.2013.51
• Patel, LV., Shortliffe EH., Stefanelli M., et al. (2009). The coming of age of artificial intelligence in medicine, Artificial Intelligence in Medicine, 46,5- 17. doi:10.1016/j.artmed.2008.07.017
• Pepito, JA., & Locsin, R. (2018). Can nurses remain relevant in a technologically advanced future? International Journal of Nursing Sciences, 6,106-110. doi:10.1016/j.ijnss.2018.09.013
• Robert, N. (2019). How artificial intelligence is changing nursing. nursing management, 50 (9), 30–39. doi: 10.1097/01. NUMA.0000578988.56622.21
• Sargutan, AE. (2005). Sağlık teknolojisi yönetimi. Hacettepe Sağlık İdaresi Dergisi, 8,113-144.
• Saraee, E., Joshi, A., Betke, MA. (2017). A therapeutic robotic system for the upper body based on the proficio robotic arm. International Conference on Virtual Rehabilitation. IEEE; 138-140. Erişim tarihi 10.02.2019, http://toc.proceedings.com/35504webtoc.pdf
• Sullivan, T. (2017). Half of hospitals to adopt artificial intelligence within 5 years. Erişim tarihi 10.02.2019. Http://Www.Healthcareitnews.Com/ News/Half-Hospitals-Adopt-Artificial-İntelligencewithin-5-Years.
• STTI (2018). Facts on the nursing shortage in North America. Erişim tarihi 12.02.2019, https://www.sigmanursing.org/why-sigma/aboutsigma/ sigmamedia/nursing-shortage-information/facts-on-thenursing- shortage-innorth-america.
• The Economist (2016). The impact on jobs: automation and anxiety. Erişim tarihi 12.02.2019, https://www.economist.com/specialreport/ 2016/06/23/automation-and-anxiety.
• The Economist (2017). The future lies in automation. Erişim tarihi 12.02.2019, https://www.economist.com/special-report/2017/04/08/ thefuture-lies-in-automation.
• Tanioka, T., Yasuhara, Y., Osaka, K, et al. (2017), The Development of the Trelationship theory of Nursing. Nursing Robots: Robotic Technology and Human Caring for the Elderly. Intelligent Control and Automation, 8,2. doi: 10.4236 / ojpm.2012.21016
• Wakefield, J. (2015). Robotlar yüzünden önce kimler işsiz kalacak? Erişim tarihi 12.02.2019, https://www.bbc.com/turkce/ haberler/2015/09/150917_calisan_robotlar
• Wlash, T. (2017). Will robots bring about theend of work? The Guardian. Erişim tarihi 12.02.2019, https://www.theguardian.com/science/ political-science/2017/oct/01/will-robots-bring-about-the-end-ofwork.