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YAPAY ZEKA DESTEKLİ ROBOT HEMŞİRE

Year 2024, , 56 - 69, 12.07.2024
https://doi.org/10.20854/bujse.1493763

Abstract

Bireylerin yaşam kalitesinin ve süresinin arttırılması ile ekonomik ve sosyal olarak hayata bilinçli, aktif, başarılı ve sağlıklı olarak katılımları mümkün olmaktadır. Bu amaç doğrultusunda toplumda yer alan bireylerin hak ettiği şekilde erişilebilir, nitelikli, maliyet etkin ve sürdürülebilir bir sağlık hizmeti sağlamak önem arz etmektedir. Geliştirilen yapay zekaya sahip yoğun bakım robot hemşire hastanelerde öncelikle yoğun bakımlarda hemşirelere destek olacak şekilde kullanılmaktadır. Geliştirilen mobil robot yatan hastalara ilaç dağıtım hizmeti sunulması, hastaların rutin yaşam bulguları (tansiyon ölçümü, nabız, oksijen, ateş vb) ölçümlerinin gerçekleştirilerek anormal değerler için bilgilendirme ve yatan hastaların uzaktan robot aracılığıyla hemşire ile görüntülü konuşma gerçekleştirme görevlerini yerine getirmektedir. Bu çalışmada hastane çalışanlarının yoğunluklarının azaltılması ve iş temposu sebebiyle meydana gelebilecek aksaklıkların minimize edilmesi amacıyla sağlık çalışanlarının rutin görevlerini destekleyici bir robot hemşire geliştirilmiştir.

References

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  • Bader, D., Worsley, P. Ve Gefen, A. (2019). Bioengineering considerations in the prevention of medical device-related pressure ulcers. Clinical Biomechanics, 67, 70-7. https://doi.org/ 10.1016/j.clinbiomech.2019.04.018
  • Baig, F., Khan, D., Noor, Y. Ve Imran, M. (2011). Desıgn Model Of Fuzzy Logıc Medıcal Dıagnosıs Control System. International Journal on Computer Science and Engineering,3(5), 2093-2108.
  • Cao, H., Song, Y., Wu, Y., Du, Y., He, X., Chen, Y., Wang Q. ve Yang, H. (2023). What is nursing professionalism?: A concept analysis. BMC Nurs, 22, 34. https://doi.org/10.1186/s12912-022-01161-0
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  • Kaya, U., Yılmaz, A. ve Dikmen, Y. (2019). Sağlık Alanında Kullanılan Derin Öğrenme Yöntemleri. Avrupa Bilim ve Teknoloji Dergisi, 16, 792-808. https://doi.org/10.31590/ejosat.573248
  • Li, L., Cheng, K.W.E. ve Pan, J.F. (2017, Aralık). Design and Application of Intelligent Control System for Greenhouse Environment, Power Electronics Systems and Applications - Smart Mobility, Power Transfer & Security (PESA), Hong Kong, China. Erişim Adresi: https://doi.org/10.1109/PESA.2017.8277762
  • McCarthy, J. (2004). What is artificial intelligence?. Erişim adresi: http://wwwformal.stanford.edu/jmc/whatisai/
  • Ng, Y.S., Xue, W., Wang, W. ve Qi, P. (2019). Convolutional Neural Networks for Food Image Recognition: An Experimental Study. Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management.
  • Oshita, S., Nakakimura, K., Kaieda, R., Murakawa, T., Tamura, H. Ve Hiraoka, I. (1993). Application of the concept of fuzzy logistic controller for treatment of hypertension during anesthesia. Masui. The Japanese Journal of Anesthesiology, 42(2), 185-189.
  • Oulton, J.A. (2006). The global nursing shortage: an overview of issues and actions. Policy Polit Nurs Pract, 7(3 Suppl), 34-39. doi: https://doi.org/10.1177/1527154406293968
  • Özşahin Uzun D., Uzun B., Özşahin, İ., Mustapha, M.T. ve Musa, M.S. (2020). Fuzzy logic in medicine. In W. Zgallai (Eds.), In Developments in Biomedical Engineering and Bioelectronics (pp. 153-182). Biomedical Signal Processing and Artificial Intelligence in Healthcare. https://doi.org/10.1016/B978-0-12-818946-7.00006-8
  • Rahman M.Z., Akbar, M.A., Leiva, V., Tahir, A., Riaz, M.T. ve Martin-Barreiro, C. (2023).An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients, Computers in Biology and Medicine, 154. https://doi.org/10.1016/j.compbiomed.2023.106583
  • Singh, D., Rakhra, M., Aledaily, A.N., Kariri, E., Viriyasitavat, W., Yadav, K., Dhiman, G. Ve KAur, A. (2023). Fuzzy logic based medical diagnostic system for hepatitis B using machine learning. Soft Computing.https://doi.org/10.1007/s00500-023-08894-3
  • Singhala, P., Shah, D. N. Ve Patel, B. (2014). Temperature Control using Fuzzy Logic. International Journal of Instrumentation and Control Systems (IJICS),4(1). https://doi.org/10.5121/ijics.2014.4101
  • Todinca, D., Fuzzy sets. Operations with fuzzy sets. [Çevrimiçi]. Mevcut: https://staff.cs.upt. ro/~todinca/cad/Lectures/cad_fuzzysets.pdf.
  • Zingarelli, E.M., Ghiglione, M., Pesce, M., Orejuela, I., Scarrone, S. ve Panizza, R.(2020). Facial pressure ulcers in a COVID-19 50-year-old female intubated patient. Indian journal of plastic surgery: official publication of the Association of Plastic Surgeons of India, 53(1), 144. https://doi.org/10.1055/s-0040-1710403
Year 2024, , 56 - 69, 12.07.2024
https://doi.org/10.20854/bujse.1493763

Abstract

References

  • Akın Robotics. Servis Robotu. https://www.akinrobotics.com/hizmet-robotu-servis-robotu-2-1
  • Bader, D., Worsley, P. Ve Gefen, A. (2019). Bioengineering considerations in the prevention of medical device-related pressure ulcers. Clinical Biomechanics, 67, 70-7. https://doi.org/ 10.1016/j.clinbiomech.2019.04.018
  • Baig, F., Khan, D., Noor, Y. Ve Imran, M. (2011). Desıgn Model Of Fuzzy Logıc Medıcal Dıagnosıs Control System. International Journal on Computer Science and Engineering,3(5), 2093-2108.
  • Cao, H., Song, Y., Wu, Y., Du, Y., He, X., Chen, Y., Wang Q. ve Yang, H. (2023). What is nursing professionalism?: A concept analysis. BMC Nurs, 22, 34. https://doi.org/10.1186/s12912-022-01161-0
  • Dernoncourt, F. (2011). Fuzzy Logic: Introducing Human Reasoningwithin Decision-Making Systems?, Conservatoire National desArts et Métiers, Paris, Fransa
  • Dernoncourt, F. (2011). Fuzzy logic : Between human reasoning and artificial intelligence Supervisor : Jean Baratgin,”Report, Ecole Normale Supperieure, Paris, Fransa.
  • Dumitrescu, C., Ciotirnae, P. ve Vizitiu C. (2021). Fuzzy Logic for Intelligent Control System Using Soft Computing Applications. Sensors, 21(8), 2617. https://doi.org/10.3390/s21082617
  • Ferris, A., Price, A. ve Harding, K. (2019). Pressure ulcers in patients receiving palliative care: a systematic review. Palliative medicine, 33(7), 770-82. https://doi.org/ 10.1177/0269216319846023
  • Gefen, A., Alves, P., Ciprandi, G., Coyer, F., Milne, C.T. ve Ousey, K., Ohura, N., Waters, N. ve Worsley, P. (2020). Device-related pressure ulcers: SECURE prevention. Journal of wound care, 29(Sup2a), 1-52. https://doi.org/ 10.12968/jowc.2020.29.Sup2a.S1
  • Kaya, U., Yılmaz, A. ve Dikmen, Y. (2019). Sağlık Alanında Kullanılan Derin Öğrenme Yöntemleri. Avrupa Bilim ve Teknoloji Dergisi, 16, 792-808. https://doi.org/10.31590/ejosat.573248
  • Li, L., Cheng, K.W.E. ve Pan, J.F. (2017, Aralık). Design and Application of Intelligent Control System for Greenhouse Environment, Power Electronics Systems and Applications - Smart Mobility, Power Transfer & Security (PESA), Hong Kong, China. Erişim Adresi: https://doi.org/10.1109/PESA.2017.8277762
  • McCarthy, J. (2004). What is artificial intelligence?. Erişim adresi: http://wwwformal.stanford.edu/jmc/whatisai/
  • Ng, Y.S., Xue, W., Wang, W. ve Qi, P. (2019). Convolutional Neural Networks for Food Image Recognition: An Experimental Study. Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management.
  • Oshita, S., Nakakimura, K., Kaieda, R., Murakawa, T., Tamura, H. Ve Hiraoka, I. (1993). Application of the concept of fuzzy logistic controller for treatment of hypertension during anesthesia. Masui. The Japanese Journal of Anesthesiology, 42(2), 185-189.
  • Oulton, J.A. (2006). The global nursing shortage: an overview of issues and actions. Policy Polit Nurs Pract, 7(3 Suppl), 34-39. doi: https://doi.org/10.1177/1527154406293968
  • Özşahin Uzun D., Uzun B., Özşahin, İ., Mustapha, M.T. ve Musa, M.S. (2020). Fuzzy logic in medicine. In W. Zgallai (Eds.), In Developments in Biomedical Engineering and Bioelectronics (pp. 153-182). Biomedical Signal Processing and Artificial Intelligence in Healthcare. https://doi.org/10.1016/B978-0-12-818946-7.00006-8
  • Rahman M.Z., Akbar, M.A., Leiva, V., Tahir, A., Riaz, M.T. ve Martin-Barreiro, C. (2023).An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients, Computers in Biology and Medicine, 154. https://doi.org/10.1016/j.compbiomed.2023.106583
  • Singh, D., Rakhra, M., Aledaily, A.N., Kariri, E., Viriyasitavat, W., Yadav, K., Dhiman, G. Ve KAur, A. (2023). Fuzzy logic based medical diagnostic system for hepatitis B using machine learning. Soft Computing.https://doi.org/10.1007/s00500-023-08894-3
  • Singhala, P., Shah, D. N. Ve Patel, B. (2014). Temperature Control using Fuzzy Logic. International Journal of Instrumentation and Control Systems (IJICS),4(1). https://doi.org/10.5121/ijics.2014.4101
  • Todinca, D., Fuzzy sets. Operations with fuzzy sets. [Çevrimiçi]. Mevcut: https://staff.cs.upt. ro/~todinca/cad/Lectures/cad_fuzzysets.pdf.
  • Zingarelli, E.M., Ghiglione, M., Pesce, M., Orejuela, I., Scarrone, S. ve Panizza, R.(2020). Facial pressure ulcers in a COVID-19 50-year-old female intubated patient. Indian journal of plastic surgery: official publication of the Association of Plastic Surgeons of India, 53(1), 144. https://doi.org/10.1055/s-0040-1710403
There are 21 citations in total.

Details

Primary Language Turkish
Subjects Intelligent Robotics, Fuzzy Computation, Modelling and Simulation, Artificial Intelligence (Other)
Journal Section Articles
Authors

Nazlı Özdemir 0000-0001-5907-4037

Hamiyet Kızıl 0000-0002-0722-589X

Atınç Yılmaz 0000-0003-0038-7519

Publication Date July 12, 2024
Submission Date May 31, 2024
Acceptance Date July 5, 2024
Published in Issue Year 2024

Cite

APA Özdemir, N., Kızıl, H., & Yılmaz, A. (2024). YAPAY ZEKA DESTEKLİ ROBOT HEMŞİRE. Beykent Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi, 17(1), 56-69. https://doi.org/10.20854/bujse.1493763
AMA Özdemir N, Kızıl H, Yılmaz A. YAPAY ZEKA DESTEKLİ ROBOT HEMŞİRE. BUJSE. July 2024;17(1):56-69. doi:10.20854/bujse.1493763
Chicago Özdemir, Nazlı, Hamiyet Kızıl, and Atınç Yılmaz. “YAPAY ZEKA DESTEKLİ ROBOT HEMŞİRE”. Beykent Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi 17, no. 1 (July 2024): 56-69. https://doi.org/10.20854/bujse.1493763.
EndNote Özdemir N, Kızıl H, Yılmaz A (July 1, 2024) YAPAY ZEKA DESTEKLİ ROBOT HEMŞİRE. Beykent Üniversitesi Fen ve Mühendislik Bilimleri Dergisi 17 1 56–69.
IEEE N. Özdemir, H. Kızıl, and A. Yılmaz, “YAPAY ZEKA DESTEKLİ ROBOT HEMŞİRE”, BUJSE, vol. 17, no. 1, pp. 56–69, 2024, doi: 10.20854/bujse.1493763.
ISNAD Özdemir, Nazlı et al. “YAPAY ZEKA DESTEKLİ ROBOT HEMŞİRE”. Beykent Üniversitesi Fen ve Mühendislik Bilimleri Dergisi 17/1 (July 2024), 56-69. https://doi.org/10.20854/bujse.1493763.
JAMA Özdemir N, Kızıl H, Yılmaz A. YAPAY ZEKA DESTEKLİ ROBOT HEMŞİRE. BUJSE. 2024;17:56–69.
MLA Özdemir, Nazlı et al. “YAPAY ZEKA DESTEKLİ ROBOT HEMŞİRE”. Beykent Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi, vol. 17, no. 1, 2024, pp. 56-69, doi:10.20854/bujse.1493763.
Vancouver Özdemir N, Kızıl H, Yılmaz A. YAPAY ZEKA DESTEKLİ ROBOT HEMŞİRE. BUJSE. 2024;17(1):56-69.