title: Deep medical knowledge to design clinical guidelines.
abstract: Guideline-based care is becoming increasingly important given the surging costs and requirement for quality assessment of health care, and is likely to be a major application of knowledge-based technology into the health sector. Our preliminary experiences with implementing a paper-based guideline in a computer have shown problems that may prevent the dissemination and use by clinicians of the computer-based guideline. Based on these experiences, we propose that deep knowledge, often implicit in guidelines specification, is explicitly considered to provide more adequate support and thus promote its acceptability by clinicians.
authors.affiliation: Departamento de Informática, Universidade Nova de Lisboa, Monte da Caparica, Portugal.
authors.forename: P
authors.initials: P
authors.lastname: Barahona
authors.forename: R
authors.initials: R
authors.lastname: Walton
authors.forename: Z
authors.initials: Z
authors.lastname: Ilic
authors.forename: J F
authors.initials: JF
authors.lastname: da Silva
mesh_terms: D001249:Asthma / Q000175:diagnosis / Q000628:therapy; D003658:Decision Making, Computer-Assisted; D003661:Decision Support Techniques; D006801:Humans; D007256:Information Systems; D017410:Practice Guidelines as Topic