S Voros1, A Moreau-Gaudry. 1. 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.
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.
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.
Entities:
Keywords:
Medicine personalization; biomedical imaging; care coordination; innovative technologies; patient centered modelling
Authors: Thomas S Pheiffer; Reid C Thompson; Daniel C Rucker; Amber L Simpson; Michael I Miga Journal: Ultrasound Med Biol Date: 2014-01-10 Impact factor: 2.998