Applying business intelligence to clinical and healthcare organizations / edited by Jose Machado and Antonio Abelha.

Includes bibliographical references and index.

Steps towards interoperability in healthcare environment -- Evaluation of nosocomial infection risk using a hybrid approach -- Step towards improving the voluntary interruption of pregnancy by means of business intelligence -- A clinical recommendation system to maternity care -- A new approach to generate hospital data warehouse schema -- Sensorization to promote the well-being of people and the betterment of health organizations -- Optimizing the use and adoption of healthcare information systems : a systematic review -- Evaluation of the length of hospital stay through artificial neural networks based systems -- An approach for the semantic interoperability of SNOMED : improving quality of health records -- Nosocomial infection prediction using data mining technologies -- Monitoring time consumption in complementary diagnostic and therapeutic procedure requests -- Clinical business intelligence to prevent stroke accidents -- Applying soft computing to clinical decision support -- A multiplatform decision support tool in neonatology and pediatric care -- Evolutionary intelligence and quality-of-information a specific case modeling

Presents new solutions for data analysis within the healthcare sector in order to improve the quality of medical care and patient quality of life. Business intelligence models and techniques are explored and their benefits for the healthcare sector exposed in this timely research-based publication comprised of chapters written by professionals and researchers from around the world.