An Information Technology Framework for Predictive, Preventive and Personalised Medicine
This book explores how PPPM, clinical practice, and basic research could be best served by information technology (IT). A use-case was developed for hepatocellular carcinoma (HCC). The subject was approached with four interrelated tasks: (1) review of clinical practices relating to HCC; (2) propose an IT system relating to HCC, including clinical decision support and research needs; (3) determine how a clinical liver cancer center can contribute; and, (4) examine the enhancements and impact that the first three tasks will have on the management of HCC. An IT System for Personalized Medicine (ITS-PM) for HCC will provide the means to identify and determine the relative value of the wide number of variables, including clinical assessment of the patient -- functional status, liver function, degree of cirrhosis, and comorbidities; tumor biology, at a molecular, genetic and anatomic level; tumor burden and individual patient response; medical and operative treatments and their outcomes.These include factors reflecting: (1) clinical assessment of the patient including functional status, liver function, degree of ... These will be based on a complex of database and knowledge management systems capable of data storage, data mining, ... has been described and sample entity-relationship diagrams populated from the clinical material described in Chaps. ... Reference Model for Open Distributed Processing (RM-ODP), and Service-Oriented Architecture (SOA ), which can beanbsp;...
| Title | : | An Information Technology Framework for Predictive, Preventive and Personalised Medicine |
| Author | : | Leonard Berliner, Heinz U. Lemke |
| Publisher | : | Springer - 2015-03-04 |
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