Identifying Health Technologies That Work

Identifying Health Technologies That Work

The Federal government is the main sponsor of research to evaluate health technologies currently in use. The purpose of this report is to examine two crucial questions: what are we getting out of this investment?, & how can we improve it? Contents: behind the search for evidence; tools for effectiveness research; issues in improving effectiveness research; the state of cost-effectiveness analysis; the Federal role in health technology assessment; the development of clinical practice guidelines; & the impact of clinical practice guidelines. Glossary.

Identifying Health Technologies that Work

Artificial Intelligence in Healthcare

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data