Patient-Specific Modeling for Critical Care



Decision-making in critical care occurs on a time scale of hours, minutes, or even seconds and requires synthesizing large amounts of patient-specific (PS) data. It is therefore sensible to make use of PS modeling applications in critical care since they offer tools for integrating disparate data into a single system view and leverage computing power to provide decision support information in a timely manner. PS modeling can be used to aid diagnosis, to estimate occult physiological variables, and to test potential therapies in silico before administering them to a patient. They can therefore help clinicians determine what happened to the patient in the past, what is happening in the present, and what will happen in the future.


Traumatic Brain Injury Critical Care Total Blood Volume Semantic Interoperability Control Blood Glucose Level 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



My thanks to Dr. Daniel Cook who provided valuable suggestions for improving this chapter. This work was supported by American Heart Association Award 09PRE210064.


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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Department of Medical Education and Biomedical InformaticsUniversity of WashingtonSeattleUSA

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