DEPENDABILITY IN MEDICINE AND NEUROLOGY. USING ENGINEERING AND MANAGEMENT PRINCIPLES FOR BETTER PATIENT CARE

- Unique, first of its kind text synthesizing the value of engineering
and management principles in medicine
- Replete with a wide range of case examples in neurology and other
disciplines
- Comprehensive, covering all aspects of quality assurance principles
and method

This ground-breaking title presents an interdisciplinary introduction to the subject of
Dependability and how it applies in medicine generally and in neurology in particular.
  Dependability is the term applied in engineering and industry to a service that is safe,
reliable and trustworthy. Dependable systems use a variety of methods to deliver correct
service in the face of uncertainty resulting from misleading, erroneous information, and
system faults. Dependable systems result from the application of systematic methods in
design, operation, and management to deliver their services.

Dependability in Medicine and Neurology presents the philosophy and ideas behind
the specific methods of dependability and discusses the principles in the context of
medical care and neurologic treatment especially.  Patient case vignettes are used
widely to illustrate key points.  A first-of-its-kind title and based on the author’s many
years of teaching these principles to medical colleagues throughout the United States,
Dependability in Medicine and Neurology will inspire readers to develop applications for
their specific areas of clinical practice.  Intended for physicians (especially neurologists),
medical students, nurses, and health administrators,  Dependability in Medicine and
Neurology is an indispensable reference and important contribution to the literature.

Table of contents (10 chapters)
1.The Principles of Dependability
2.An Overview of System Safety Assessment
3.Fault Tree Analysis for Medical Applications
4.Failure Modes and Effects Analysis
5.Machine Learning Methods with Applications to Diagnosis
6.Byzantine Medical Problems: Decision Making with Misleading, Imperfect Information
7.Process Driven Methods in Diagnosis and Treatment
8.Toyota Production System
9.Reliance Implementation Methods Applied to a Kaizen Project
10.Knowledge and Culture