APHR: Annotated Personal Health Record for Enabling Pervasive Healthcare

• Published in: 2011 IEEE 12th International Conference on Mobile Data Management
• Main Authors: Brut, Mihaela, Al Kukhun, Dana, Péninou, André, Canut, Marie-Françoise, Sèdes, Florence
• Other Authors: Systèmes d’Informations Généralisées (IRIT-SIG), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Université Toulouse III - Paul Sabatier (UT3), RWTH Aachen University, Germany, Geisler, Sandra, Lorenz, Andreas, Quix, Christoph
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2011
• Subjects: pervasive healthcare; classified medical data; personal health record; query rewriting; data adaptive access; [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]; Luleå
• Online Access: https://hal.science/hal-03761370; https://doi.org/10.1109/MDM.2011.26

Co-located with the 12th International Conference on Mobile Data Management (MDM 2011) International audience The present paper relies on the context of the French government’s new efforts to put into practice the concept of the “personal health record (PHR)”. The paper proposes a framework dedicated to support patients during their travels, when an unexpected health disorder takes place and the suitable specialist is not available. Our solution is based on the ontology-based classified annotations that the patient could develop related to his PHR, which constitute the Annotated PHR. We consider that each user can manage the annotations access policies. We also develop an ontology-based solution for granting medical agents with useful, authorized and relevant information, which adopts XACML query rewriting mechanisms.