Literature DB >> 19964663

Experience of a real-time tele-EEG service.

N Lasierra1, A Alesanco, C Campos, E Caudevilla, J Fernández, J García.   

Abstract

This paper reports an experience in the setting-up and evaluation of a telemedicine solution to provide an electroencephalography service between a secondary hospital placed in Calahorra (Calahorra Hospital Foundation, FHC) and a tertiary hospital placed in Logroño (San Pedro Hospital, HSP) both in La Rioja, Spain. We have evaluated technical and clinical aspects of the tele-EEG (electroencephalography) service as well as the impact over patients, health staff and hospital organization for 6 months. During this period, there have been performed a total of 116 clinical consultations. With reference to patients' opinion, 98% of them stated to be satisfied with the new tele-EEG system and 75% of them preferred it rather than the conventional one, due to they reduce traveling expenses and the total invested time in the EEG test. This new service has been also very appreciated by medical staff, who assure thanks to the tele-EEG service the access for patients to this type of clinical test is improved.

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Year:  2009        PMID: 19964663     DOI: 10.1109/IEMBS.2009.5334076

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


  3 in total

1.  Formative evaluation of a telemedicine model for delivering clinical neurophysiology services part I: utility, technical performance and service provider perspective.

Authors:  Patricia Breen; Kevin Murphy; Geraldine Browne; Fiona Molloy; Valerie Reid; Colin Doherty; Norman Delanty; Sean Connolly; Mary Fitzsimons
Journal:  BMC Med Inform Decis Mak       Date:  2010-09-15       Impact factor: 2.796

2.  Formative evaluation of a telemedicine model for delivering clinical neurophysiology services part II: the referring clinician and patient perspective.

Authors:  Patricia Breen; Kevin Murphy; Geraldine Browne; Fiona Molloy; Valerie Reid; Colin Doherty; Norman Delanty; Sean Connolly; Mary Fitzsimons
Journal:  BMC Med Inform Decis Mak       Date:  2010-09-15       Impact factor: 2.796

3.  Automatic epileptic seizure detection using scalp EEG and advanced artificial intelligence techniques.

Authors:  Paul Fergus; David Hignett; Abir Hussain; Dhiya Al-Jumeily; Khaled Abdel-Aziz
Journal:  Biomed Res Int       Date:  2015-01-29       Impact factor: 3.411

  3 in total

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