An Information Technology Framework for Predictive, Preventive and Personalised Medicine

A Use-Case with Hepatocellular Carcinoma

  • Leonard Berliner
  • Heinz U. Lemke

Part of the Advances in Predictive, Preventive and Personalised Medicine book series (APPPM, volume 8)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Leonard Berliner, Heinz U. Lemke
    Pages 1-7
  3. Leonard Berliner, Heinz U. Lemke
    Pages 9-19
  4. Smruti Mohanty, Sid Verma, David Dosik, Hesham Hazin, Leonard Berliner
    Pages 21-32
  5. Irene Bargellini, Valentina Battaglia, Davide Caramella, Carlo Bartolozzi
    Pages 33-44
  6. Giuseppe Esposito
    Pages 45-51
  7. Hesham Hazin, David Dosik
    Pages 53-60
  8. Smruti Mohanty, Leonard Berliner, Syed Shah
    Pages 61-68
  9. Eric van Sonnenberg, Leonard Berliner
    Pages 77-83
  10. Hani Ashamalla, Malcolm D. Mattes
    Pages 93-102
  11. Leonard Berliner, Heinz U. Lemke
    Pages 103-117
  12. Leonard Berliner, Heinz U. Lemke, Hani Ashamalla, Smruti Mohanty
    Pages 119-127
  13. Back Matter
    Pages 129-130

About this book

Introduction

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.

Keywords

Decision Support System Hepatocellular Cancer Information Technology Model Guided Therapy Predictive, Preventive and Personalised Medicine

Editors and affiliations

  • Leonard Berliner
    • 1
  • Heinz U. Lemke
    • 2
  1. 1.Weill Cornell Medical College of CornellNew YorkUSA
  2. 2.Technical University of BerlinKuessabergGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-12166-6
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Medicine
  • Print ISBN 978-3-319-12165-9
  • Online ISBN 978-3-319-12166-6
  • Series Print ISSN 2211-3495
  • Series Online ISSN 2211-3509
  • About this book
Industry Sectors
Biotechnology
Pharma