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Publication: IIP Proceedings Year: 2022, Month: January Page No: 356-362, ISSN/ISBN: 978-93-95632-92-8, DOI/Link: https://rsquarel.org/assets/docupload/rsl2023713853D308013DB.pdf
ARTIFICIAL INTELLIGENCE IMBEDDED GAMIFICATION TO PROMOTE THE EMERGENCY HEALTH CARE
Area/Stream: Medical Sciences, Authors: Dr. Pratika Mishra,Dr. Shiv Sharnkar Tripathi,Dr. S. P. Mishra,Dr Anoop Kr Srivastava,Dr. Madhup Rastogi Keywords: Imbedded Gamification, Emergency Health Care Book Name /series: Futuristic Trends in Medical Sciences ,Volume 2, Book 21, Part 3, Chapter 5Publication: IIP Proceedings Year: 2022, Month: January Page No: 356-362, ISSN/ISBN: 978-93-95632-92-8, DOI/Link: https://rsquarel.org/assets/docupload/rsl2023713853D308013DB.pdf
Abstract:
Artificial Intelligence (AI) has developed over the years which has been empowered with path breaking innovation in information technology to have the ability of human way to think, analyses and function in similar way as the human cognitive moorings. There are various branches of modern AI which is based on continued profession in the algorithm based analysis and software which can update itself and become more relevant. AI also includes to a large extent human speech recognition, problem solving and predicating the outcome based on a model and contributing in solving the intricate and complex clinical problem. A new branch of AI has come to play a major role by automatically improve its ability to predicting the outcome known as machine learning. Simultaneously a new subset of the AI is evolving known as Dep Learning which keeps on improving its functioning by absorbing pattern and information’s based on data input like human neural network of cognitive abilities. It can interpret the human speech and languages and update its algorithms which analyses the data. Hence the three level of AI , machine learning and deep learning work in synergy to help in many clinical situations which is rather difficult for human analysis (Figure 1). The up-gradation in AI is mostly automated by the algorithms employed but gets impetus by supervised learning, reinforced updates in the data, natural language processing’s and improvement in the ability without supervised modifications based on more data inputs. The applications of AI in medical clinics has found wast applications as it is able to quickly outperform the human expertise in predicting the diagnosis, radiological evaluation and correlating all the diagnostic input in analyzing the treatment protocols for best management. Emergency Department (ED) attracts large variety of clinical services and demands quick disposal of large number of cases may be uniquely suited to apply the AI applications for best results. The AI in EM may be able to guide in arriving a decision in risk prediction, balancing the treatment protocol, stratification of cases and handle the diversity of patient information’s. The applications of AI tools may be a boon in ED in managing the diagnosis and treatment regimen in variety of situations and supplemented human cognitive reach without getting biased or perturbed. AI can read a series of x-rays and CT images in quick succession and predict the diagnosis more accurately. A new diagnostic stream has evolved using AI for helping the accurate diagnosis and solve the diagnostic dilemma faced in many emergency situations. Artificial intelligence (AI) has ushered in a new era in management of Emergency Medicine (EM) and it is considered as important mile stone in the evolution of current EM clinical management. The new empowered AI has the potential to enhance the capacity of management, admission, efficient occupancy management and predicting the diagnosis. Thus it has the ability to affect all aspect of total patient management. The AI will influence the work flow in triage, patient waiting, helping in diagnosis in radiological investigations, and the enhance the efficiency of Emergency Physician (EP) in a seamless manner in overall delivery of care and services to patients. This is a tool which enhances the clinical service delivery of every worker and adds to the human cognitive ability in providing several options based on large data pools available in its model and algorithms.It is imperative to keep abreast with the development in literature of AI and its continued progress in managing the ED. Vast amount of scientific and clinical literature has been published das review of the experiences in application of AI in ED. Most of the finding are suggestive of the fact that ED has benefited largely n establishing quick and precise radiological diagnosis by use of AI. It has also been established that AI has contributed in predicting the cardiac events, strokes and infection and its management. It has demonstrated the ability in better prediction of clinical trials, mortality and management of triage area in alleviating the suffering of the patients. In addition to clinical management AI has helped in stratification of admission, waiting time, ICU requirements and optimizing the staffing according to the work load needs.
Cite this: Dr. Pratika Mishra,Dr. Shiv Sharnkar Tripathi,Dr. S. P. Mishra,Dr Anoop Kr Srivastava,Dr. Madhup Rastogi,"ARTIFICIAL INTELLIGENCE IMBEDDED GAMIFICATION TO PROMOTE THE EMERGENCY HEALTH CARE", Futuristic Trends in Medical Sciences ,Volume 2, Book 21, Part 3, Chapter 5, January, 2022, 356-362, 978-93-95632-92-8, https://rsquarel.org/assets/docupload/rsl2023713853D308013DB.pdf
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