Process Modeling and Management for Healthcare (Chapman & Hall/CRC Healthcare Informatics Series). Este artículo no está disponible.Process Modeling and Management for Healthcare (Chapman & Hall/CRC Healthcare Informatics Series)

From the Foreword:

"[This book] provides a comprehensive overview of the fundamental concepts in healthcare process management as well as some advanced topics in the cutting-edge research of the closely related areas. This book is ideal for graduate students and practitioners who want to build the foundations and develop novel contributions in healthcare process modeling and management."

--Christopher Yang, Drexel University

Process modeling and process management are traversal disciplines which have earned more and more relevance over the last two decades. Several research areas are involved within these disciplines, including database systems, database management, information systems, ERP, operations research, formal languages, and logic. Process Modeling and Management for Healthcare provides the reader with an in-depth analysis of what process modeling and process management techniques can do in healthcare, the major challenges faced, and those challenges remaining to be faced. The book features contributions from leading authors in the field.

The book is structured into two parts. Part one covers fundamentals and basic concepts in healthcare. It explores the architecture of a process management environment, the flexibility of a process model, and the compliance of a process model. It also features a real application domain of patients suffering from age-related macular degeneration.

Part two of the book includes advanced topics from the leading frontiers of scientific research on process management and healthcare. This section of the book covers software metrics to measure features of the process model as a software artifact. It includes process analysis to discover the formal properties of the process model prior to deploying it in real application domains. Abnormal situations and exceptions, as well as temporal clinical guidelines, are also presented in depth Pro.

Carlo Combi is Full Professor at the Department of Computer Science, University of Verona, Verona, Italy.
He received the Laurea Degree in Electrical Engineering from the Politecnico of Milano in 1987. He received the Ph.D. degree in Biomedical Engineering in 1993. He was in 1994 and 1995 Post-Doc fellow at the Department of Biomedical Engineering of the Politecnico of Milano. From 1987 to 1996 he worked within the research group in Medical Informatics at the Politecnico of Milan. From April 1996 to October 2001, Carlo Combi was with the Department of Mathematics and Computer Science of the University of Udine, Italy, as Assistant Professor. Since November 2001, he has been with the Department of Computer Science of the University of Verona, Italy. From November 2001 to February 2005, he was Associate Professor of Computer Science; since March 2005, he has been Professor of Computer Science. From October 2007 to September 2012, he served as head of the Department of Computer Science.

Giuseppe Pozzi is Associate Professor at the Dipartimento di Elettronica, Informazione e Bioingegneria of the Politecnico di Milano, Milano, Italy. He received the Laurea Degree in Electrical Engineering from the Politecnico of Milano on June 1986. He received the Ph.D. degree on July 1992. On December 1992 he received a post-doc fellowship from Politecnico di Milano. From October 1st, 1993 to October 31st, 2002 he served as research assistant at the Dipartimento di Elettronica e Informazione of the Politecnico di Milano. Since November 1st, 2002 he has been associate professor at the Dipartimento di Elettronica, Informazione e Bioingegneria of the Politecnico di Milano. Giuseppe Pozzi’s past interests include computer-based analysis of the electrocardiographical signal, multiservice software for medicine, biomedical image compression, classification of public domain medical software, object-oriented and temporal databases for medicine. At present, his interests are mainly focused on active database systems, their application to WorkFlow Management Systems (WFMS), temporal databases and the management of temporal aspects in WfMSs. He is author/coauthor of more than 100 papers. He co-authored 4 books.

Pierangelo Veltri is Associate Professor of Bioinformatics and Computer Science at the Medicine and Surgical Science Department, University Magna Graecia of Catanzaro, Catanzaro, Italy. He received the Laurea Degree in Computer Engineering from the University of Calabria in April 1998. He received the Ph.D. degree from the University of Orsay (Paris XI) in 2002. He was researcher with european fellows from 1998 to 2002 at INRIA of Rocquencourt, France working in the Verso Database Group, and contract teacher from 2000 to 2002 at University of Paris XIII, teaching database and programming languages. From 2002 to 2011 was assistant professor at University of Catanzaro, teaching application of computer science in medicine degree. He is currently associate professor at the same University. He teaches Database for computer science and biomedical engineering master students and Advanced database and health informatic systems for biomedical engineering postgraduate students.

His past interests include semistructured and spatial databases. His interests are currently focused on data analytics, proteomics and genomics data management, voice and health related signal analysis, health informatics. He is author/co-author of more than 100 papers published in international conference proceeding, and more than 30 international journal papers. He has been editor of the ACM Sigbio (special interest group on Bioinformatics, Computational Biology and Biomedical Informatics) newsletter since 2013.