This cutting-edge volume is the first book that provides you with practical guidance on the use of medical device data for bioinformatics modeling purposes. You learn how to develop original methods for communicating with medical devices within healthcare enterprises and assisting with bedside clinical decision making. The book guides in the implementation and use of clinical decision support methods within the context of electronic health records in the hospital environment. This highly valuable reference also teaches budding biomedical engineers and bioinformaticists the practical benefits of using medical device data. Supported with over 100 illustrations, this all-in-one resource discusses key concepts in detail and then presents clear implementation examples to give you a complete understanding of how to use this knowledge in the field.
Preface ; Introduction to Physiological Modeling in Medicine: A Survey of Existing Methods, Approaches, and Trends - Overview. The Art of Modeling and Prediction. Why Model? Multivariate Models and Model Complexity. Clinical Informatics and Meaningful Use. Types of Models. Stochastic Modeling and Monte Carlo Simulation. Guidelines and Protocols. Summary. ; Simulation and Modeling Techniques - Simulating Physical Systems.Introduction to Monte Carlo Simulation.Introduction to Discrete Event Simulation. Queuing and Discrete Event Simulation Models. Deterministic Mathematical Models. Probability and Statistics. Sensitivity, Specificity and Confidence Intervals. Chi-Square Tests. The Concept of χ2 and the Assignment Problem. Other Applications of Optimal Assignment Methodologies. Noise and Error Representation. Queuing Theory Deep Dive and Examples. Summary. ; Introduction to Automatic Control Systems Theory and Applications - State Space Modeling. Controllability and Observability. The Feedback Control Loop. System Stability. Techniques for Representing Physical Phenomena. ; Physical System Modeling and State Representation - Fluid Mechanics Applications. Electrical Signal and Circuit Analogs to Physical Systems. Simplified Physiological Systems Modeling. ; Medical Device Data Measurement, Interoperability, Interfacing, and Analysis - Types of Medical Devices Used for Physiological Measurement. Medical Device Interfaces, Standards, and Interoperability Initiatives. Medical Device Data Collection, Validation, and Clinical Use. Biomedical Device Interoperability and the Electronic Medical Record. Associating Biomedical Device Data with Patients. Spatial-Temporal Modeling of Medical Device Data. Biomedical Data Storage and Retrieval. Applying Wavelet Transforms to Biomedical Device Data. Summary. ; Systems Modeling Example Applications - Modeling to Assist Diagnosis and Treatment. Clinical Workflow and Decision Support. Systems Modeling and Integration. Integrating Clinical Decision Support Systems Within Clinical Information Systems. Summary. ; Modeling Benefits, Cautions, and Future Work ; Appendix. List of Acronyms. Bibliography. About the Author. Index ;
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John Zaleski
John R. Zaleski is a senior director & research department head of Biomedical Informatics at Philips Research North America. He was previously a product manager for the critical care product line and director of clinical research at Siemens Health Services USA. Dr. Zaleski holds an M.S. in aerospace engineering from Boston University and a Ph.D. in biomedical systems engineering from the University of Pennsylvania.