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Smart Healthcare Engineering Management and Risk Analytics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Smart Healthcare Engineering Management and Risk Analytics/ by Shuai Ding, Desheng Wu, Luyue Zhao, Xueyan Li.
作者:	Ding, Shuai.
其他作者:	Li, Xueyan.
面頁冊數:	XIII, 215 p. 58 illus., 57 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-981-19-2560-3
ISBN:	9789811925603

Smart Healthcare Engineering Management and Risk Analytics
Ding, Shuai.

Smart Healthcare Engineering Management and Risk Analytics[electronic resource] /by Shuai Ding, Desheng Wu, Luyue Zhao, Xueyan Li. - 1st ed. 2022. - XIII, 215 p. 58 illus., 57 illus. in color.online resource. - AI for Risks,2731-6335. - AI for Risks,.

Chapter 1. Basics of Smart Healthcare Engineering Management -- Chapter 2. Frontier of Smart Healthcare Engineering Management -- Chapter 3. Smart Healthcare Data Exchange and Utilization -- Chapter 4. Smart Healthcare Multi-modal Data Fusion -- Chapter 5. Smart Healthcare Knowledge Inference and Service Engineering -- Chapter 6. Non-contact Mental and Physical Health Screening -- Chapter 7. OHC Physician Quality Perception and Recommendation -- Chapter 8. Cancer Diagnosis Support and Risk Analytics -- Chapter 9. ICU Mortality Prediction and Risk Analytics -- Chapter 10. Minimally Invasive Surgery Quality Control -- Chapter 11. Intelligent Hospital Operation and Risk Control -- Chapter 12. Recapitulation.

This book aims to stay one step beyond the innovations of information and communication technologies and smart healthcare management and provides an overview of the risks smart healthcare management could help to alleviate, and those risks it would create or amplify. Inclusive discussions of the core of smart healthcare services in the perspective of system engineering are enclosed, such as smart healthcare definition, data information knowledge service, and intelligent hospital management. Summaries of technological and theoretical innovations spanning each step of the modern healthcare system are included, from health screening, clinical diagnosis, cancer screening, to in-hospital mortality monitoring, minimally invasive surgeries, and medical data storages. Analytics of risks reduced and induced by these innovations are provided, with potential solutions to such risks in healthcare management discussed. This book seeks to provide demonstrative examples of incidence capable innovations of healthcare technologies, which, while greatly enhancing abilities of healthcare workers and institutions, could pose risks to patients and sometimes even greater threats to the integrity of the healthcare system. The style of the book is intended to be demonstrative but most suited for researchers and graduate students, explaining the methodology behind healthcare innovations, with some citations and some deep scholarly reference.

ISBN: 9789811925603

Standard No.: 10.1007/978-981-19-2560-3doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: HD61

Dewey Class. No.: 658.155

Smart Healthcare Engineering Management and Risk Analytics
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