Medical Device Data for Clinical Decision Making

Medical Device Data for Clinical Decision Making

By: John R. Zaleski (author)Hardback

Up to 2 WeeksUsually despatched within 2 weeks

Description

This cutting-edge volume is the first book that provides practical guidance on the use of medical device data for bioinformatics modeling purposes. Professionals 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 professionals a complete understanding of how to use this knowledge in the field.

About Author

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.

Contents

Introduction to Physiological Modeling in Medicine: A Survey of Existing Methods, Approaches and Trends. Simulation and Modeling Techniques. Introduction to Automatic Control Systems Theory and Applications. Physical System Modeling and State Representation. Medical Device Data Measurement, Interoperability, Interfacing and Analysis. Systems Modeling Example Applications. Modeling Benefits, Cautions, and Future Work. Appendices.

Product Details

  • ISBN13: 9781608070947
  • Format: Hardback
  • Number Of Pages: 310
  • ID: 9781608070947
  • weight: 794
  • ISBN10: 1608070948

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