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Paper Title
AI-Powered Solutions for Reducing Hospital Readmissions: A Case Study on AI-Driven Patient Engagement
Authors
Vishwasrao Salunkhe, Venkata Ramanaiah Chintha, Vishesh Narendra Pamadi, Prof.(Dr.) Arpit Jain, Om Goel
Keywords
AI-Powered Solutions for Reducing Hospital Readmissions: A Case Study on AI-Driven Patient Engagement
Abstract
The readmission of patients to hospitals is a major worry for healthcare systems all over the world since it has an effect on the results for patients and raises the expense of operations. Recent developments in artificial intelligence (AI) have opened up new options for solving this difficulty via the use of methods that are driven by AI and include patient interaction. Through the use of artificial intelligence-driven technologies, this case study investigates the installation of technologies with the goal of lowering hospital readmissions by increasing patient participation and strengthening post-discharge care.
IJCRT's Publication Details
Unique Identification Number - IJCRT2212664
Paper ID - 269146
Page Number(s) - f757-f779
Pubished in - Volume 10 | Issue 12 | December 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Vishwasrao Salunkhe, Venkata Ramanaiah Chintha, Vishesh Narendra Pamadi, Prof.(Dr.) Arpit Jain, Om Goel, "AI-Powered Solutions for Reducing Hospital Readmissions: A Case Study on AI-Driven Patient Engagement", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 12, pp.f757-f779, December 2022, Available at :http://www.ijcrt.org/papers/IJCRT2212664.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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