Guaranteeing Quality In The Diagnosis Of Electrocerebral Silence

dc.creatorFlorence G.
dc.creatorFerreira R.P.
dc.creatorHamad A.P.
dc.creatorCalil S.J.
dc.date2005
dc.date2015-06-26T14:09:42Z
dc.date2015-11-26T14:09:50Z
dc.date2015-06-26T14:09:42Z
dc.date2015-11-26T14:09:50Z
dc.date.accessioned2018-03-28T21:10:25Z
dc.date.available2018-03-28T21:10:25Z
dc.identifier
dc.identifier2nd International Ieee Embs Conference On Neural Engineering. , v. 2005, n. , p. 422 - 425, 2005.
dc.identifier
dc.identifier10.1109/CNE.2005.1419649
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-33744498610&partnerID=40&md5=e51913507298123f826680da0a153fdb
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/93867
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/93867
dc.identifier2-s2.0-33744498610
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1241345
dc.descriptionThe quality of the EEG signal is important for the proper diagnosis of electrocerebral silence (ECS). Noise in the EEG signals makes difficult the formation of a precise diagnosis concerning the existence of cerebral activity in patients who are considered to be in potential cerebral death. In an attempt to guarantee the quality of the diagnosis of ECS, a study was performed at a public hospital in Brazil applying the Health Care Failure and Effect Analysis (HFMEA) technique. Through this study, problems that interfere with the quality of the EEG exam were identified and subsequently certain actions were proposed to help reduce the risks of these potential problems. These actions certify the functioning of the EEG equipment within the formal standards of safety and quality. © 2005 IEEE.
dc.description2005
dc.description
dc.description422
dc.description425
dc.descriptionEngl, N., Med, J., (2001) The Diagnosis of Brain Death, 344 (16), pp. 467-469
dc.descriptionNiedermeyer, E., Silva, F.L., Electroencephalography: Basic Principles, Clinical Applications and Related Fields, 4rd Ed.
dc.descriptionStalhandske, E., How to Make the most of failure mode and effect analysis (2003) Biomedical Instrumentation & Technology, 37 (2), pp. 96-102. , March/April
dc.descriptionAn introdution to FMEA, using failure mode effects analysis to meet JCAHO's proactive risk assessment requirement (2002) Health Devices, 31 (6), pp. 223-226. , June
dc.descriptionHospitals tackle new JCAHO requirement with failure mode and effects analysis (2002) The Risk Management Reporter, 21 (2), pp. 1-7. , April
dc.descriptionGrissinger, M., Rich, D., JCAHO: Meeting the standards for patient safety, a focus on medication safety is required under joint commission standards, and tools are available to help pharmacists achieve the best possible outcomes (2002) The Journal of the American Pharmaceutical Association, 42 (5). , September/ October
dc.descriptionEEG monitors
dc.descriptioneleotroenoephalographs (2002) HPCS, pp. 5-6. , December
dc.descriptionEbersole, J.S., Pedley, T.A., Current Practice of Clinical Electroencephalography, 3rd Ed, pp. 271-287
dc.descriptionDerosier, J., Using health care failure mode and effect analysis™: The VA national center for patient safety's prospective risk analysis system (2002) Joint Commission for Accreditation of Healthcare Organizations. Journal on Quality Improvement, 28 (5), pp. 248-267. , May
dc.languageen
dc.publisher
dc.relation2nd International IEEE EMBS Conference on Neural Engineering
dc.rightsfechado
dc.sourceScopus
dc.titleGuaranteeing Quality In The Diagnosis Of Electrocerebral Silence
dc.typeActas de congresos


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