Your browser doesn't support javascript.
loading
A perspective of adaptation in healthcare.
Mezghani, Emna; Da Silveira, Marcos; Pruski, Cédric; Exposito, Ernesto; Drira, Khalil.
Afiliação
  • Mezghani E; CNRS; LAAS; 7 av. du Colonel Roche, F-31400 Toulouse, FRANCE.
  • Da Silveira M; CR SANTEC, Public Research Centre Henri Tudor, Luxembourg.
  • Pruski C; CR SANTEC, Public Research Centre Henri Tudor, Luxembourg.
  • Exposito E; CNRS; LAAS; 7 av. du Colonel Roche, F-31400 Toulouse, FRANCE.
  • Drira K; CNRS; LAAS; 7 av. du Colonel Roche, F-31400 Toulouse, FRANCE.
Stud Health Technol Inform ; 205: 206-10, 2014.
Article em En | MEDLINE | ID: mdl-25160175
Emerging new technologies in healthcare has proven great promises for managing patient care. In recent years, the evolution of Information and Communication Technologies pushes many research studies to think about treatment plan adaptation in this area. The main goal is to accelerate the decision making by dynamically generating new treatment due to unexpected situations. This paper portrays the treatment adaptation from a new perspective inspired from the human nervous system named autonomic computing. Thus, the selected potential studies are classified according to the maturity levels of this paradigm. To guarantee optimal and accurate treatment adaptation, challenges related to medical knowledge and data are identified and future directions to be explored in healthcare systems are discussed.
Assuntos
Buscar no Google
Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Informática Médica / Inteligência Artificial / Empreendedorismo / Sistemas de Apoio a Decisões Clínicas / Atenção à Saúde / Medicina de Precisão Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article
Buscar no Google
Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Informática Médica / Inteligência Artificial / Empreendedorismo / Sistemas de Apoio a Decisões Clínicas / Atenção à Saúde / Medicina de Precisão Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article