Kategoria BISAC: Medical >> Informatics

Healthcare practitioners and managers increasingly find themselves in clinical situations where they have to think fast and process myriad diagnostic test results, medications and past treatment responses in order to make decisions. Effective problem solving in the clinical environment or classroom simulated lab depends on a healthcare professional's immediate access to fresh information. Unable to consult a library for information, the healthcare practitioner must learn to effectively manage knowledge while thinking on their toes.

Knowledge Management (KM) holds the key to this...

This is a resource book on clinical decision support systems for informatics specialists, a textbook for teachers or students in health informatics and a comprehensive introduction for clinicians. It has become obvious that, in addition to physicians, other health professionals have need of decision support. Therefore, the issues raised in this book apply to a broad range of clinicians. The book includes chapters written by internationally recognized experts on the design, evaluation and application of these systems, who examine the impact of computer-based diagnostic tools both from the...

The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections:

Part I: image segmentation

Part II: machine learning - self-supervised learning; machine learning -...

Evaluating the Organizational Impact of Health Care Information Systems, Second Edition, is heavily updated and revised from its First Edition, which is entitled Evaluating Health Care Information Systems: Methods and Applications. The much-needed Second Edition is a guide for evaluating the organizational impacts of computer systems in health care institutions.

It provides a practical guide for determining the appropriate questions to ask based on underlying models of change and the most effective methods available. An introduction to various methods is provided,...

This book provides foundational coverage of key areas, concepts, constructs, and approaches of medical informatics as it applies to clinical research activities, in both current settings and in light of emerging policies. The field of clinical research is fully characterized (in terms of study design and overarching business processes), and there is emphasis on information management aspects and informatics implications (including needed activities) within various clinical research environments.

The purpose of the book is to provide an overview of clinical research (types),...

This book is the first comprehensive text on utilization management in the clinical laboratory and other ancillary services. It provides a detailed overview on how to establish a successful utilization management program, focusing on such issues as leadership, governance, informatics, and application of utilization management tools. The volume also describes ways to establish utilization management programs for multiple specialties, including anatomic pathology and cytology, hematology, radiology, clinical chemistry, and genetic testing among other specialties. Numerous examples of...

The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections:

Part I: image segmentation

Part II: machine learning - self-supervised learning; machine learning -...

This book presents research on how interpretable cognitive IoT can work to help with the massive amount of data in the healthcare industry. The authors give importance to IoT systems with intense machine learning features; this ensures the scope corresponds to use of cognitive IoT for understanding, reasoning, and learning from medical data. The authors discuss the interpretability of an intelligent system and its trustworthiness as a smart tool in the context of massive healthcare applications. As a whole, book combines three important topics: massive data, cognitive IoT, and...