Dimensions of Intelligent Analytics for Smart Digital Health Solutions

This title demystifies artificial intelligence (AI) and analytics,upskilling individuals (healthcare professionals,hospital managers,consultants,researchers,students,and the population at large) around analytics and AI as it applies to healthcare. It presents a triumvirate approach including technical, business, and medical aspects of data and analytics and takes a responsible approach to this key area. It serves to introduce the critical issues in AI and analytics for healthcare to students, practitioners, and researchers.

Format: Paperback / softback
Length: 422 pages
Publication date: 01 March 2024
Publisher: Taylor & Francis Ltd

This title demystifies artificial intelligence (AI) and analytics, empowering individuals (healthcare professionals, hospital managers, consultants, researchers, students, and the general public) with knowledge and skills in these areas as they apply to healthcare. This comprehensive book explores the effective utilization and deployment of tools, techniques, technologies, and tactics related to analytics and AI to achieve a healthcare value proposition that prioritizes improved quality, enhanced accessibility, and maximum value for all individuals, every day, everywhere. By adopting a triumvirate approach encompassing technical, business, and medical aspects of data and analytics, the book takes a responsible stance in this critical domain. This work serves as an introductory guide to the key issues in AI and analytics for healthcare, catering to students, practitioners, and researchers alike.

Introduction:
Artificial intelligence (AI) and analytics have emerged as powerful tools in the healthcare industry, revolutionizing the way we approach healthcare delivery, management, and research. This title aims to demystify these concepts and provide a comprehensive guide for individuals seeking to upskill in analytics and AI as they apply to healthcare.

What is Artificial Intelligence (AI)?:
AI refers to the development of computer systems that can perform tasks that typically require human intelligence, such as pattern recognition, decision-making, and natural language processing. AI has numerous applications in healthcare, including medical imaging analysis, drug discovery, patient diagnosis, and personalized treatment plans.

What is Analytics?:
Analytics involves the collection, analysis, and interpretation of data to gain insights and make informed decisions. In healthcare, analytics is used to track patient outcomes, evaluate healthcare practices, identify trends, and optimize healthcare operations.

Benefits of AI and Analytics in Healthcare:
AI and analytics offer numerous benefits to healthcare professionals, patients, and the healthcare system as a whole. Some of these benefits include:

Improved Quality of Care: AI and analytics can help healthcare professionals make accurate diagnoses, predict patient outcomes, and develop personalized treatment plans. This leads to better patient care and improved health outcomes.
Enhanced Efficiency: By leveraging AI and analytics, healthcare organizations can streamline processes, reduce errors, and optimize resource allocation. This leads to cost savings and improved operational efficiency.
Better Patient Experience: AI and analytics can provide patients with personalized care and support, improving their overall experience and satisfaction with healthcare services.
Improved Research and Development: AI and analytics can accelerate research and development in healthcare, leading to the discovery of new treatments, therapies, and technologies.

Challenges of AI and Analytics in Healthcare:
While AI and analytics offer numerous benefits, they also present several challenges. Some of these challenges include:

Data Privacy and Security: Healthcare data is sensitive and confidential, and there are concerns about the privacy and security of patient data when it is collected, analyzed, and shared.
Ethical Considerations: AI and analytics raise ethical considerations, such as the use of artificial intelligence in decision-making and the potential impact on patient autonomy.
Interoperability and Integration: AI and analytics systems are often complex and require integration with existing healthcare systems. This can be challenging and time-consuming.

How to Upskill in AI and Analytics for Healthcare:
Upskilling in AI and analytics for healthcare requires a combination of technical skills, business knowledge, and medical expertise. Here are some steps you can take to upskill in these areas:

Completing a degree or certificate program in computer science, data science, or healthcare informatics.
Participating in online courses, workshops, or boot camps offered by educational institutions or industry organizations.
Working on projects that involve AI and analytics in healthcare, such as developing healthcare applications or analyzing medical data.
Joining professional organizations or communities that focus on AI and analytics in healthcare.

Conclusion:
AI and analytics have the potential to transform healthcare by improving quality, enhancing efficiency, and providing personalized care. By upskilling in these areas, individuals can play a significant role in driving innovation and progress in the healthcare industry. This title serves as a valuable resource for healthcare professionals, students, and researchers seeking to gain knowledge and skills in AI and analytics as they apply to healthcare.

Weight: 670g
Dimension: 153 x 234 x 26 (mm)
ISBN-13: 9781032699721