Page 60 - Inovacije i izazovi u obrazovanju i sestrinskoj skrbi - KNJIGA SAŽETAKA
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INOVACIJE I IZAZOVI U OBRAZOVANJU I SESTRINSKOJ SKRBI - KNJIGA SAŽETAKA



               Artificial Intelligence in Education and Nursing –

               Hidden Potential of Interdisciplinary Cooperation



               Artificial intelligence (AI) has great potential to transform education and the nursing profession.
               After a brief insight into the technological principles of AI, concrete examples of the use of AI
               in these sectors are presented, emphasizing the importance of interdisciplinary cooperation in
               solving  problems.  Different  types  of  AI are  explained,  including  machine  learning,  deep
               learning, and natural language processing. Tools and techniques used to develop AI systems
               are discussed, emphasizing the importance of data in AI, including collection, preparation, and
               ethical aspects. The paper will present the results of a test that will be conducted among the
               teachers of the Vinogradska Nursing School to determine their familiarity with the possibilities
               of using AI tools in teaching and education.


               Some examples of the use of AI in education and nursing: Personalization of learning - AI can
               be used to  adapt  lesson plans to  students'  individual  needs  by analyzing data on academic
               progress, learning styles, and interests; Task automation - AI can automate repetitive tasks such
               as  grading  tests  and  written  papers,  freeing  teachers'  time  to  support  students  one-on-one;
               Intelligent tutors - AI-based tutors can provide students personalized feedback and real-time
               support and encourage interactive learning through simulations and games; Decision support -
               AI can analyze patient data from various sources, helping nurses quickly and accurately identify
               potential problems and make informed decisions about patient care; Patient monitoring - AI can
               be used to monitor patients' vital signs in real-time and send alerts to nurses when they deviate
               from expected parameters; Virtual Assistants - AI-based assistants can provide nurses with
               support in administrative tasks, freeing up their time to focus on nursing patient care.

               In addition, the paper outlines a case study demonstrating how AI was used to analyze patient
               data  collected  from  a  hospital  system  over  several  years  to  predict  rehospitalization.  The
               emphasis is on interdisciplinary teamwork and the contribution of people's domain knowledge
               to data modeling through AI algorithms.

               AI has significant potential to improve education and nursing. However, it is essential that AI
               systems  are  developed  and  used  ethically  and  responsibly,  with  transparency,  data  privacy
               protection, and inclusion. The future of AI in these sectors offers exciting opportunities to
               transform these professions and improve student and patient experiences.


               Key words: Artificial Intelligence (AI), education, nursing, interdisciplinary work























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