title: A perspective of adaptation in healthcare.
abstract: 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.
authors.affiliation: CNRS; LAAS; 7 av. du Colonel Roche, F-31400 Toulouse, FRANCE.
authors.forename: Emna
authors.initials: E
authors.lastname: Mezghani
authors.affiliation: CR SANTEC, Public Research Centre Henri Tudor, Luxembourg.
authors.forename: Marcos
authors.initials: M
authors.lastname: Da Silveira
authors.affiliation: CR SANTEC, Public Research Centre Henri Tudor, Luxembourg.
authors.forename: Cédric
authors.initials: C
authors.lastname: Pruski
authors.affiliation: CNRS; LAAS; 7 av. du Colonel Roche, F-31400 Toulouse, FRANCE.
authors.forename: Ernesto
authors.initials: E
authors.lastname: Exposito
authors.affiliation: CNRS; LAAS; 7 av. du Colonel Roche, F-31400 Toulouse, FRANCE.
authors.forename: Khalil
authors.initials: K
authors.lastname: Drira
mesh_terms: D001185:Artificial Intelligence; D020000:Decision Support Systems, Clinical / Q000639:trends*; D003695:Delivery of Health Care / Q000639:trends*; D016520:Entrepreneurship / Q000639:trends*; D005544:Forecasting; D008490:Medical Informatics / Q000639:trends*; D009937:Organizational Objectives; D057285:Precision Medicine / Q000639:trends*