An Overview of the Most Recent Advances in Healthcare: How Data Will Change the Way Patients Are Treated

TY - CHAP

T1 - An Overview of the Most Recent Advances in Healthcare

T2 - How Data Will Change the Way Patients Are Treated

AU - Christogianni, Aikaterini

N1 - Publisher Copyright: © 2023 by IGI Global. All rights reserved.

PY - 2023/6/12

Y1 - 2023/6/12

N2 - The volume and complexity of big data in healthcare have created opportunities to develop new analytical tools and methods. Artificial intelligence (AI) is increasingly being used to create new technologies that will transform patient care, administrative and delivery processes, and pharmaceutical treatments. Continuous patient monitoring is now possible for any health condition, including patients with diabetes, Parkinson’s, and cardiovascular diseases. AI appears to be promising in terms of effectively saving clinicians’ time, improving diagnostic and prognosis procedures, and organising and managing healthcare. However, there are serious concerns about the safety and security of electronic health records and patient information. Therefore, AI software engineers and businesses must address a series of issues, including the validation, reliability, and accuracy of machine learning procedures, the collection of big data via the internet of things, data security, privacy breaches, and encryption.

AB - The volume and complexity of big data in healthcare have created opportunities to develop new analytical tools and methods. Artificial intelligence (AI) is increasingly being used to create new technologies that will transform patient care, administrative and delivery processes, and pharmaceutical treatments. Continuous patient monitoring is now possible for any health condition, including patients with diabetes, Parkinson’s, and cardiovascular diseases. AI appears to be promising in terms of effectively saving clinicians’ time, improving diagnostic and prognosis procedures, and organising and managing healthcare. However, there are serious concerns about the safety and security of electronic health records and patient information. Therefore, AI software engineers and businesses must address a series of issues, including the validation, reliability, and accuracy of machine learning procedures, the collection of big data via the internet of things, data security, privacy breaches, and encryption.

UR - https://www.scopus.com/pages/publications/85167736232

U2 - 10.4018/978-1-6684-5422-0.ch011

DO - 10.4018/978-1-6684-5422-0.ch011

M3 - Chapter

SN - 9781668454220

T3 - Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications

SP - 157

EP - 176

BT - Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications

ER -