Издательство InTech, 2011, -340 pp.
This series is directed to diverse managerial professionals who are leading the transformation of individual domains by using expert information and domain knowledge to drive decision support systems (DSSs). The series offers a broad range of subjects addressed in specific areas such as health care, business management, banking, agriculture, environmental improvement, natural resource and spatial management, aviation administration, and hybrid applications of information technology aimed to interdisciplinary issues.
This book series is composed of three volumes: Volume 1 consists of general concepts and methodology of DSSs; Volume 2 consists of applications of DSSs in the biomedical domain; Volume 3 consists of hybrid applications of DSSs in multidisciplinary domains. The book is shaped by the decision support strategies in the new infrastructure that assists the readers in full use of the creative technology to manipulate input data and to transform information into useful decisions for decision makers. This book series is dedicated to support professionals and series readers in the emerging field of DSS.
Clinical decision support systems (CDSSs) are computer-based applications that can effectively assist clinical practitioners and healthcare providers in decision making to improve their clinical practice skills and reduce preventable medical errors. A popular example of CDSSs is computerized physician order entry (CPOE) systems that provide patient-specific recommendations, collaborate active problems on the problem list with prescribed medications on the medication list, attach care reminders and alerts to the charts of patients in electronic health records, link laboratory test data to alert physicians while atypical values are detected.
Patient safety was once an emerging field when the Institute of Medicine's (IOM) report (To Err is Human: Building a Safer Health System") was first released and captured the attention of the healthcare community in late 1999. Many of the errors in the biomedical domain result from a culture and a fragmented system. Evidences from research studies indicated that mistakes were not due to clinicians not trying hard enough; they resulted from inherent shortcomings in the health caring system. Appropriate design of CDSSs assists in reducing such kinds of mistakes and promoting patient safety.
Book Volume 2 extends the concepts and methodology of decision support systems (DSS) mentioned in Book Volume 1 to the applications of CDSS in the biomedical related domain. This book collects a variety of topics that cover design and development of CDSS applications. It can be used as a textbook in formal courses or a reference book for practitioners. The readers will gain in-depth knowledge about the applications of CDSSs to detect/prevent specific diseases, to facilitate medical procedures during operations, and to collaborate the knowledge of biomedical domain experts for making better decisions.
Part 1 Barriers, Challenges, Impacts, and Success Factors of System Adoption
Challenges in Developing Effective Clinical Decision Support Systems
Impacts and Risks of Adopting Clinical Decision Support Systems
Success Factors and Barriers for Implementation of Advanced Clinical Decision Support Systems
Part 2 Guideline-Based Clinical Decision Support System
Information Extraction Approach for Clinical Practice Guidelines Representation in a Medical Decision Support System
Guideline-Based Decision Support Systems for Prevention and Management of Chronic Diseases
Part 3 Applications for Disease Management
Emerging Information Technologies to Provide Improved Decision Support for Surveillance, Prevention, and Control of Vector-Boe Diseases
Optimization Models, Statistical and DSS Tools for Prevention and Combat of Dengue Disease
A Decision Support System Based on Artificial Neural Networks for Pulmonary Tuberculosis Diagnosis
Part 4 Applications for Medical Procedures
Temporal Knowledge Generation for Medical Procedures
Predicting Pathology in Medical Decision Support Systems in Endoscopy of the Gastrointestinal Tract
Workflow and Clinical Decision Support for Radiation Oncology
Computerized Decision Support Systems for Mechanical Ventilation
Decision Support Systems in Anesthesia, Emergency Medicine and Intensive Care Medicine
Decision Support by Visual Incidence Anamneses for Increased Patient Safety
Part 5 Miscellaneous Case Studies
Pharmacoepidemiological Studies Using the Veterans Affairs Decision Support System
Decision Support Systems in Animal Health
Development of an Image Retrieval Model for Biomedical Image Databases
This series is directed to diverse managerial professionals who are leading the transformation of individual domains by using expert information and domain knowledge to drive decision support systems (DSSs). The series offers a broad range of subjects addressed in specific areas such as health care, business management, banking, agriculture, environmental improvement, natural resource and spatial management, aviation administration, and hybrid applications of information technology aimed to interdisciplinary issues.
This book series is composed of three volumes: Volume 1 consists of general concepts and methodology of DSSs; Volume 2 consists of applications of DSSs in the biomedical domain; Volume 3 consists of hybrid applications of DSSs in multidisciplinary domains. The book is shaped by the decision support strategies in the new infrastructure that assists the readers in full use of the creative technology to manipulate input data and to transform information into useful decisions for decision makers. This book series is dedicated to support professionals and series readers in the emerging field of DSS.
Clinical decision support systems (CDSSs) are computer-based applications that can effectively assist clinical practitioners and healthcare providers in decision making to improve their clinical practice skills and reduce preventable medical errors. A popular example of CDSSs is computerized physician order entry (CPOE) systems that provide patient-specific recommendations, collaborate active problems on the problem list with prescribed medications on the medication list, attach care reminders and alerts to the charts of patients in electronic health records, link laboratory test data to alert physicians while atypical values are detected.
Patient safety was once an emerging field when the Institute of Medicine's (IOM) report (To Err is Human: Building a Safer Health System") was first released and captured the attention of the healthcare community in late 1999. Many of the errors in the biomedical domain result from a culture and a fragmented system. Evidences from research studies indicated that mistakes were not due to clinicians not trying hard enough; they resulted from inherent shortcomings in the health caring system. Appropriate design of CDSSs assists in reducing such kinds of mistakes and promoting patient safety.
Book Volume 2 extends the concepts and methodology of decision support systems (DSS) mentioned in Book Volume 1 to the applications of CDSS in the biomedical related domain. This book collects a variety of topics that cover design and development of CDSS applications. It can be used as a textbook in formal courses or a reference book for practitioners. The readers will gain in-depth knowledge about the applications of CDSSs to detect/prevent specific diseases, to facilitate medical procedures during operations, and to collaborate the knowledge of biomedical domain experts for making better decisions.
Part 1 Barriers, Challenges, Impacts, and Success Factors of System Adoption
Challenges in Developing Effective Clinical Decision Support Systems
Impacts and Risks of Adopting Clinical Decision Support Systems
Success Factors and Barriers for Implementation of Advanced Clinical Decision Support Systems
Part 2 Guideline-Based Clinical Decision Support System
Information Extraction Approach for Clinical Practice Guidelines Representation in a Medical Decision Support System
Guideline-Based Decision Support Systems for Prevention and Management of Chronic Diseases
Part 3 Applications for Disease Management
Emerging Information Technologies to Provide Improved Decision Support for Surveillance, Prevention, and Control of Vector-Boe Diseases
Optimization Models, Statistical and DSS Tools for Prevention and Combat of Dengue Disease
A Decision Support System Based on Artificial Neural Networks for Pulmonary Tuberculosis Diagnosis
Part 4 Applications for Medical Procedures
Temporal Knowledge Generation for Medical Procedures
Predicting Pathology in Medical Decision Support Systems in Endoscopy of the Gastrointestinal Tract
Workflow and Clinical Decision Support for Radiation Oncology
Computerized Decision Support Systems for Mechanical Ventilation
Decision Support Systems in Anesthesia, Emergency Medicine and Intensive Care Medicine
Decision Support by Visual Incidence Anamneses for Increased Patient Safety
Part 5 Miscellaneous Case Studies
Pharmacoepidemiological Studies Using the Veterans Affairs Decision Support System
Decision Support Systems in Animal Health
Development of an Image Retrieval Model for Biomedical Image Databases