Need of Technology Changes in Hospital Domains for Improved Nursing Service using Ai (Artificial Intelligence) and IoT (Internet of Things)
Samaya Pillai1, Minal Abhyankar2, Pradnya Purandare3, Manik Kadam4, Haridas Acharya5
1Samaya Pillai , Symbiosis Institute of Telecom Management, Symbiosis International (Deemed University),Pune, India.
2Minal Abhyankar, Symbiosis Institute of Computer studies and research, Symbiosis International (Deemed University), Pune, India.
3Pradnya Purandare, Symbiosis Centre for Information Technology, Symbiosis International (Deemed University),Pune, India.
4Dr.Manik Kadam, Allana Institute of Management, Savitribai Phule Pune University, Pune, India.
5Dr. Haridas Acharya Allana Institute of Management, Savitribai Phule Pune University, Pune, India.

Manuscript received on January 01, 2020. | Revised Manuscript received on January 20, 2020. | Manuscript published on January 30, 2020. | PP: 3061-3070 | Volume-8 Issue-5, January 2020. | Retrieval Number: D7749118419/2020©BEIESP | DOI: 10.35940/ijrte.D7749.018520

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Abstract: Healthcare has come a long way with the technological upgrades that it has witnessed and embraced. Technological disrupters like automation, big data, cloud, AI, IOT, have contributed in making the healthcare domain more enhanced and efficient. In the healthcare when we focus more on hospital related services, we see that the changes have started to reflect. Considering Nursing as one of the major services, this study attempts to understand the long ranging impact of AI and IOT on nursing specifically. Nursing as a choice of work has always been looked down upon by the society. The overall work environments, pay structures have also not been conducive for the work force. Being a crucial component of the healthcare domain, the impact of AI and IOT would be more pronounced and visible on nursing in the coming years. The paper attempts to find the gaps and areas of improvement in nursing to make it more efficient. Research Methods and Approach: The paper finds relevant attributes which impact the performance of the nurses. The attributes are derived using mixed method of research and triangulation. This is planned by conducting the systematic literature review followed first by qualitative research methodology based semi structured interviews of patients and their relatives and later by interviewing the doctors and nurses, hospital management. A Systematic literature review of minimum 75 to 100 research papers from the following databases Pubmed, Ieee, ACM, Science Direct and Google Scholar was planned. For the interviews it was decided to conduct a heterogeneous quota sampling for interviewing the patients, their relatives and doctors and nurses, hospital management. Purpose of the Study: Artificial intelligence and Internet-of-Things are the most path breaking techniques today69. The paper integrates these in the hospital domain focussing only “nursing” as service. It answers the crucial research questions like ‘If AI and IOT is used as a methodology in ”nursing Services” ,visualizing the impact of AI enabled Bots in nursing, pros and cons of introducing the AI technology intervention in Nursing and to conceptualize a model for the same. Results/Findings & Interpretation: The paper maps the AI algorithms and IOT to the basic nurse functions. These AI-IOT enabled bots are better in performance compared to nurses. Implications: description of main outcomes of the study. a) The paper helps to address the manpower shortage in rural regions which are deprived of hospital services. b) Can help better care of elderly patients c) Can provide a substantial support for the human nurses and d) Can help to improve the nursing on the whole. Originality/Novelty: The literature review proved that the concept of the paper is very original. Nowhere had the AI algorithms mapped to any hospital service efficiently.
Keywords: AI, Nursing, Hospitals, Job-Burnout, Stress, Job Dissatisfaction.
Scope of the Article: Artificial Intelligence.