A Correlational Study on Knowledge and Attitude Regarding Artificial Intelligence in Health Care among Nursing Students of D. Y. Patil College of Nursing, Kolhapur, Maharashtra

• Published in: International Journal For Multidisciplinary Research Vol. 5; no. 4
• Main Authors: -, Neeta Ranbhise, -, Suchitrarani Rathod, -, Amos Talsandekar
• Format: Journal Article
• Language: English
• Published: 22.08.2023
• DOI: 10.36948/ijfmr.2023.v05i04.5637
• ISSN: 2582-2160

Healthcare system is undergoing a digital transformation, and artificial intelligence will play a significant role in defining everyday medical practice. The digital networking of patients, hospitals, physicians and other healthcare services is enabling a shift from a physician-centric approach to more patient-centred treatment. To exploit the potential of this technical innovation and ensure optimized care for patients, future doctors must be equipped with the appropriate skills. The use of Artificial intelligence has gained popularity during the last few decades and its use in medicine is increasing globally. Developing countries like India are lagging in the implementation of AI-based solutions in healthcare. There is a need to incorporate AI in the health system which may help not only in expediting diagnosis and management but also injudicious resource allocation. Hence it is necessary for the upcoming nurses to work with these technologies in order to provide holistic care with the advancements in healthcare. It is also necessary for the nursing students to have a positive or favorable knowledge and attitude towards artificial intelligence in their care. Objectives:1. To identify the knowledge regarding Artificial Intelligence in healthcare among nursing students.2. To identify the attitude regarding Artificial Intelligence in healthcare among nursing students3. To find out a correlation between knowledge & attitude regarding Artificial Intelligence in healthcare among nursing students.4. To find out an association between knowledge scores regarding Artificial Intelligence in healthcare among nursing students with their selected socio-demographic variables. Methods: The research approach adopted for the study was a correlational survey approach. Research design was Non experimental, Descriptive Correlational research design. The samples were selected for the study included 100 nursing students studying in D. Y. Patil College of Nursing by using nonprobability convenience sampling technique. Structured knowledge and attitude questionnaire was used to assess the knowledge and attitude of nursing students regarding Artificial Intelligence in Healthcare. Result: Majority of the subjects 82 (82%) had average knowledge, 15 (15%) had poor knowledge and minimum 03 (3%) had good knowledge. Majority of the subjects 71 (71%) had positive attitude and minimum 29(29 %) had positive attitude. The calculated correlation value was (tcal =0.97) greater than 0 shows positive relationship. This indicated that there was a strongly positive correlation between knowledge and attitude which was statistically significant at p <0.05 level, regarding artificial intelligence in healthcare. There was no any significant association between knowledge scores and selected socio-demographic variables. The calculated Chi-square values was lesser than tabulated value at p< 0.05 level of significance. This indicated that there was no any significant association between knowledge scores with their selected socio-demographic variables at p< 0.05 level of significance. Interpretation and conclusion: The overall finding shows that majority of nursing students had average knowledge and positive attitude regarding artificial intelligence and there was an significant association between knowledge and attitude regarding Artificial Intelligence in Healthcare.