Rupa Ashok Verma

Rupa Ashok Verma

Maharshi Karve Stree Shikshan Sanstha’s College Sitabai Nargundkar College of Nursing for Women, Nagpur, Maharashtra, India

Profile ID RP-000-0576 Joined 2023-01-16 4 articles
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Articles(4)

Authors: Rasika Vaidya, Priyanka Kasare, Neha Wasnik, Ankita Mhaske, Swati Gaikwad, Preshita Thorat

DOI: 10.18231/j.ijpns.2021.029  

Volume4

Issue4

Pages141-145

Abstract

Background: Evidence regarding the spectrum of post-COVID-19 illness and management is evolving and will continue to develop in years to come. Recent suggested definitions have described post-acute COVID-19 as illness extending beyond three weeks from initial symptoms and chronic COVID-19 as illness extending beyond 12 weeks from initial symptoms. 1 The incidence of post-COVID-19 squeal in those who have tested positive and who have been managed in an outpatient setting (such as management in the home. 2 The incidence of prolonged illness significantly increases with age, comorbidities and severity of the acute illness. 3 Objectives: To assess the level of knowledge regarding post COVID complications among adults in the state of Maharashtra. 2) To associate the level of knowledge regarding post COVID complications among adults with selected demographic variables. Material and Methods: The study was conducted in different region of Maharashtra. Quantitative research approach was used in this study. Non experimental descriptive survey design was used in this study. Nonprobability convenient sampling technique was used to collect 100 sample. Result: majority of the samples i.e. 51 % of them were having very good level of knowledge score, 21 % of them had good level of knowledge score, 16 % of them had Excellent level of knowledge score and 11% had average level of knowledge score, only 1 % had poor level of knowledge score respectively. The minimum score was found to be 1 and the maximum score was 51. The mean score was 16.32 and SD was4.23. Conclusion: after detailed analysis, it was found that there is significant association of level of knowledge score in relation to their Age, Occupation, Knowledge about post COVID complications among adults in the state of Maharashtra. Keywords: COVID-19, Knowledge, Adult, Illness

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Authors: Rupa Verma, Nancy.P. Domingo

DOI: 10.18231/j.ijpns.2023.001  

Volume6

Issue1

Pages1-3

Abstract

Artificial intelligence (AI) is an umbrella term used to describe techniques developed to teach computers to mimic human-like cognitive functions like learning, reasoning, communicating and decision-making (Robert, 2019). The identical task can be completed with artificial intelligence more cheaply and effectively. Any artificial system that can carry out activities under a variety of uncertain conditions with little to no human supervision or that can gain knowledge from experience and perform better when given data sets. Nursing practice is geared towards assisting clients in achieving and maintaining optimal health in order to optimise their quality of life over the course of their lifetime however Artificial intelligence benefits nursing practice in : enhancing medical and nursing diagnostics; accelerating drug discoveries and Administration and many more. As of 2023, the use of AI in nursing holds much promises for the profession, hence to This article provides an overview of artificial intelligence (AI), including how AI algorithms and robots are altering the nurse's role and the challenges facing the nursing profession as AI is integrated into healthcare delivery. Keywords: Artificial intelligence, Technology, Nursing, Practice, Education

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