Data science for healthcare

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Data science for healthcare

Sergio ConsoliDiego Reforgiato RecuperoMilan Petkovic EditorsData Science for HealthcareMethodologies and ApplicationsSergio Consoli • Diego Reforgiat

Data science for healthcare to Recupero • Milan PctkovicEditorsData Science for HealthcareMethodologies and ApplicationsSpringerEditorsSergio ConsoliPhilips ResearchEindhoven. Th

e NetherlandsDiego Reforgiato RecuperoDept of Mathematics and Computer Science University of CagliariCagliari. ItalyMilan PetkovicData Science Departm Data science for healthcare

entPhilips ResearchEindhoven. The NetherlandsISBN 978-3-030-05248-5 ISBN 978-3-030-05249-2 (eBook)https://doi.org/l0.l007/978-3-030-05249-2Library of

Data science for healthcare

Congress Control Number: 201X966867€) Springer Nature Switzerland AG 2019This work is subject to copyright. All rights are reserved by the Publisher,

Sergio ConsoliDiego Reforgiato RecuperoMilan Petkovic EditorsData Science for HealthcareMethodologies and ApplicationsSergio Consoli • Diego Reforgiat

Data science for healthcare asting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, compute

r software, or by similar or dissimilar methodology now known or hereafter developed.The use of general descriptive names, registered names, trademark Data science for healthcare

s, service marks, etc. in this publication docs not imply, even in the absence of a specific statement, that such names arc exempt from the relevant p

Data science for healthcare

rotective laws and regulations and therefore free for general use.The publisher, the authors and the editors are safe to assume that the advice and in

Sergio ConsoliDiego Reforgiato RecuperoMilan Petkovic EditorsData Science for HealthcareMethodologies and ApplicationsSergio Consoli • Diego Reforgiat

Data science for healthcare rranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remain

s neutral with regard to jurisdictional claims in published maps and institutional affiliations.This Springer imprint is published by the registered c Data science for healthcare

ompany Springer Nature Switzerland AG The registered company address is: Gcwcrbcstrassc 11,6330 Cham, SwitzerlandForewordIt is becoming obvious that o

Data science for healthcare

nly by fundamentally rethinking our healthcare systems we can successfully address the serious challenges we are facing globally.One of the most signi

Sergio ConsoliDiego Reforgiato RecuperoMilan Petkovic EditorsData Science for HealthcareMethodologies and ApplicationsSergio Consoli • Diego Reforgiat

Data science for healthcare on, there is a rising incidence of preventable lifestyle-related diseases caused by risk factors such as obesity, smoking, and alcohol consumption. To

day, chronic diseases in EU already result in the loss of 3.4 million potential productive life years, which amounts to an annual loss of €115 billion Data science for healthcare

for the EU economy. At the same time, we are being faced with a shortage of qualified healthcare professionals, and with quality and efficiency issue

Data science for healthcare

s in the way healthcare is delivered. Finally, public spending on healthcare is steadily rising. The EU spends around 10% of its GDP on healthcare. In

Sergio ConsoliDiego Reforgiato RecuperoMilan Petkovic EditorsData Science for HealthcareMethodologies and ApplicationsSergio Consoli • Diego Reforgiat

Data science for healthcare to new care delivery models, addressing the quadruple aim of (1) improving the health of populations. (2) reducing the per capita cost of healthcare.

(3) improving the patient experience including quality and satisfaction, and (4) improving the work life of healthcare providers by providing necessa Data science for healthcare

ry support.The good news is that digital technologies are by now so powerful, affordable, and pervasive, that they help to make these goals achievable

Data science for healthcare

. The Internet of Medical Things and artificial intelligence (Al) in particular are key enablers of the digital transformation in healthcare. Connecte

Sergio ConsoliDiego Reforgiato RecuperoMilan Petkovic EditorsData Science for HealthcareMethodologies and ApplicationsSergio Consoli • Diego Reforgiat

Data science for healthcare actionable insights across the continuum of care.But technology by itself will not be the answer. In the end. healthcare is all about people. Meaning

ful innovation occurs when technology enables professionals to deliver better care and when it empowers consumers and patients to better manage their Data science for healthcare

own health. This means that applying Al and data science to healthcare requires a deep understanding of the personal, clinical, or operational context

Data science for healthcare

in which they are used. That is w hy. at Philips, we believe in the power of adaptive intelligence.

Sergio ConsoliDiego Reforgiato RecuperoMilan Petkovic EditorsData Science for HealthcareMethodologies and ApplicationsSergio Consoli • Diego Reforgiat