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Applications, Requirements, Architectures, Security Issues and Emerging Motivation for Smarter Healthcare
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Author(s): S. Radha (Vivekanandha College of Engineering for Women, India), C. Visali (Vivekanandha College of Engineering for Women, India), C. Aparna (Sengunthar Engineering College, India), C. Aarthi (Sengunthar Engineering College, India)and R. Logambal (Vivekanandha College of Engineering for Women, India)
Copyright: 2024
Pages: 22
Source title:
Ubiquitous Computing and Technological Innovation for Universal Healthcare
Source Author(s)/Editor(s): Arumugam Suresh Kumar (Jain University (Deemed), India), Geetha Ganesan (Jain University (Deemed), India), Ramesh Sekaran (Jain University (Deemed), India), Batri Krishnan (Jain University (Deemed), India)and N. V. Kousik (Arden University, UK)
DOI: 10.4018/979-8-3693-2268-0.ch007
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Abstract
The healthcare industry has witnessed significant advancements in recent years, driven by the integration of technology and data analytics. Smarter healthcare systems aim to enhance the quality of patient care, improve efficiency, and reduce costs through the intelligent use of technology. This chapter explores existing models, proposes a new model, discusses the requirements and architectures for smarter healthcare systems, addresses security issues, and highlights the emerging motivations for adopting these solutions. One prominent model is the electronic health record (EHR) system, which enables the digital storage and sharing of patient medical records. Additionally, wearable devices and mobile health applications empower individuals to track their health, collect data, and receive personalized insights. A proposed model for smarter healthcare is the integration of artificial intelligence (AI) and machine learning (ML) algorithms. These technologies can analyze vast amounts of medical data, identify patterns, and provide accurate predictions and diagnoses.
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