الصفحة 1
الصفحة 1
Evaluating the organizational impact of health care information systems
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, as well as appendices containing survey instruments usable in research and evaluation, computer programs for data analyses, and other evaluation resources. The book provides a critical overview of current research and evaluation to date with numerous bibliographic references from health care and other fields. The methods and instruments described are applicable to a wide variety of other organizations that utilize information technology and they emphasize the importance of clearly specifying the purpose of the evaluation, recognizing assumptions about organizational change and using a multi-method approach to system evaluation. The material presented is drawn from a variety of social and health science disciplines in order to integrate the study of information system with social science theory and methods. Chapter highlights include Cognitive Approaches to Evaluation, Computer Simulation as an Evaluation Tool, and Research and Evaluation: Future Directions.
Clinical text mining : Secondary use of electronic patient records
Describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters.
Applied Informatics; Third International Conference, ICAI 2020, Ota, Nigeria, October 29–31, 2020, Proceedings
This book constitutes the thoroughly refereed papers of the Second International Conference on Applied Informatics, ICAI 2020, held in Ota, Nigeria, in October 2020. The 35 full papers were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections on artificial intelligence; business process management; cloud computing; data analysis; decision systems; health care information systems; human-computer interaction; image processing; learning management systems; software design engineering.
