Literature DB >> 19964214

Patient interaction in homecare systems to treat cardiovascular diseases in the long term.

Ignacio Peinado1, Maria Teresa Arredondo, Elena Villalba, Dario Salvi, Manuel Ottaviano.   

Abstract

The rapid aging of the population worldwide will dramatically increase the number of people affected by chronic diseases in the next years. This social situation makes it necessary a paradigm shift from reactive care to preventive care. New technological paradigms, like Ambient Intelligence and Ubiquitous Computing, allow the development of Personal Health Systems (PHS) that guarantee the continuity of care and a better use of health resources. Therefore, patients should become the centre of the health care process, and PHS should be designed to fulfill the patient's goals and needs. User-centred methodologies provide a good framework for designing general use applications, but they do not usually take into account factors like the context where the interaction is taking place or the medical, social and business contexts that surround the patient. This paper presents a model for designing user's interaction in medical applications. The final goal is to develop highly usable user interfaces and to improve the user experience, aiming to guarantee the patient's adherence to the medical protocols and recommendations.

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Year:  2009        PMID: 19964214     DOI: 10.1109/IEMBS.2009.5333597

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  Computer-Aided Diagnosis and Clinical Trials of Cardiovascular Diseases Based on Artificial Intelligence Technologies for Risk-Early Warning Model.

Authors:  Bin Li; Shuai Ding; Guolei Song; Jiajia Li; Qian Zhang
Journal:  J Med Syst       Date:  2019-06-13       Impact factor: 4.460

  1 in total

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