title: How Sensor, Signal, and Imaging Informatics May Impact Patient Centered Care and Care Coordination.
abstract: OBJECTIVE
  This synopsis presents a selection for the IMIA (International Medical Informatics Association) Yearbook 2015 of excellent research in the broad field of Sensor, Signal, and Imaging Informatics published in the year 2014, with a focus on patient centered care coordination.
  
  
  METHODS
  The two section editors performed a systematic initial selection and a double blind peer review process to select a list of candidate best papers in the domain published in 2014, from the PubMed and Web of Science databases. A set of MeSH keywords provided by experts was used. This selection was peer-reviewed by external reviewers.
  
  
  RESULTS
  The review process highlighted articles illustrating two current trends related to care coordination and patient centered care: the enhanced capacity to predict the evolution of a disease based on patient-specific information can impact care coordination; similarly, better perception of the patient and his treatment could lead to enhanced personalized care with a potential impact on care coordination.
  
  
  CONCLUSIONS
  This review shows the multiplicity of angles from which the question of patient-centered care can be addressed, with consequences on care coordination that will need to be confirmed and demonstrated in the future.
authors: Sandrine Voros, Laboratoire TIMC-IMAG, équipe GMCAO, IN3S, pavillon Taillefer, Faculté de Médecine, 38706 La Tronche Cedex, France, Tel: +33 4 56 52 00 09, Fax +33 4 56 52 00 55, E-mail: Sandrine.Voros@imag.fr.
authors: S
authors: S
authors: Voros
authors: A
authors: A
authors: Moreau-Gaudry
mesh_terms: D003952:Diagnostic Imaging; D006801:Humans; D008490:Medical Informatics; D016343:Monitoring, Intraoperative; D018802:Patient-Centered Care; D011379:Prognosis
keywords: Medicine personalization; biomedical imaging; care coordination; innovative technologies; patient centered modelling