• DocumentCode
    1403826
  • Title

    Contextualized Access to Electronical Health Records in Cardiology

  • Author

    Prados-Suárez, Belén ; Molina, Carlos ; Yañez, Carmen Peña ; De Reyes, Miguel Prados

  • Author_Institution
    Dept. of Software Eng., Univ. of Granada, Granada, Spain
  • Volume
    16
  • Issue
    3
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    401
  • Lastpage
    412
  • Abstract
    In this paper, we propose a new approach for accessing the electronical health records (EHR), and we apply it to the cardiology medical specialty. Though the use of EHR improves the storage and access to the information in it regarding the previous health records in papers, it entails the risk of having the same problems of huge size and of becoming inoperative and really difficult to handle, especially if the user is looking for a specific data item. Our proposal is based on the contextualization of the access, providing the user with the most important information for the assistance act in which he/she is involved. To do this, we define the set of possible contexts and consider different aspects of the pertinence of the documents to each context. We do it by using fuzzy logic and pay special attention to the efficiency, due to the huge size of the involved databases. Our proposal does not limit the access to the EHR, but establishes a prioritization based on the access needs, which provides the system with an additional advantage, easily enabling the use of new terminals and devices like tablet PCs and PDAs, which have great limitations in the interfaces.
  • Keywords
    biomedical communication; cardiology; fuzzy logic; medical computing; medical information systems; notebook computers; PDA; cardiology; contextualized access; electronical health records; fuzzy logic; specific data item; tablet PC; Concrete; Context; Databases; Hospitals; Medical diagnostic imaging; Proposals; Context awareness; electronic health record; fuzzy logic; Cardiology; Computer Communication Networks; Database Management Systems; Databases, Factual; Electronic Health Records; Fuzzy Logic; Humans;
  • fLanguage
    English
  • Journal_Title
    Information Technology in Biomedicine, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-7771
  • Type

    jour

  • DOI
    10.1109/TITB.2011.2178033
  • Filename
    6109348