This second edition of a pioneering technical work in biomedical
informatics provides a very readable treatment of the deep
computational ideas at the foundation of the field. "Principles of
Biomedical Informatics, "2nd Edition is radically reorganized to
make it especially useable as a textbook for courses that move
beyond the standard introductory material. It includes exercises at
the end of each chapter, ideas for student projects, and a number
of new topics, such as: tree structured data, interval trees, and
time-oriented medical data and their use On Line Application
Processing (OLAP), an old database idea that is only recently
coming of age and finding surprising importance in biomedical
informatics a discussion of nursing knowledge and an example of
encoding nursing advice in a rule-based system X-ray physics and
algorithms for cross-sectional medical image reconstruction,
recognizing that this area was one of the most central to the
origin of biomedical computing an introduction to Markov processes,
and an outline of the elements of a hospital IT security program,
focusing on fundamental ideas rather than specifics of system
vulnerabilities or specific technologies.
It is simultaneously a unified description of the core research
concept areas of biomedical data and knowledge representation,
biomedical information access, biomedical decision-making, and
information and technology use in biomedical contexts, and a
pre-eminent teaching reference for the growing number of healthcare
and computing professionals embracing computation in health-related
fields.
As in the first edition, it includes many worked example
programs in Common LISP, the most powerful and accessible modern
language for advanced biomedical concept representation and
manipulation.
The text also includes humor, history, and anecdotal material to
balance the mathematically and computationally intensive
development in many of the topic areas. The emphasis, as in the
first edition, is on ideas and methods that are likely to be of
lasting value, not just the popular topics of the day. Ira Kalet is
Professor Emeritus of Radiation Oncology, and of Biomedical
Informatics and Medical Education, at the University of Washington.
Until retiring in 2011 he was also an Adjunct Professor in Computer
Science and Engineering, and Biological Structure. From 2005 to
2010 he served as IT Security Director for the University of
Washington School of Medicine and its major teaching hospitals. He
has been a member of the American Medical Informatics Association
since 1990, and an elected Fellow of the American College of
Medical Informatics since 2011. His research interests include
simulation systems for design of radiation treatment for cancer,
software development methodology, and artificial intelligence
applications to medicine, particularly expert systems, ontologies
and modeling.
* Develops principles and methods for representing biomedical data,
using information in context and in decision making, and accessing
information to assist the medical community in using data to its
full potential
* Provides a series of principles for expressing biomedical data
and ideas in a computable form to integrate biological, clinical,
and public health applications
* Includes a discussion of user interfaces, interactive graphics,
and knowledge resources and reference material on programming
languages to provide medical informatics programmers with the
technical tools to develop systems"
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