Ontology-Based Contextual Information Gathering Tool for Collecting Patients Data Before, During and After a Digestive Surgery

Benmimoune, Lamine; Hassani, Amir Hajjam El; Ghodous, Parisa; Andrès, Emmanuel; Hajjam, Mohamed

doi:10.1007/978-3-319-58280-1_23

Cited by 1 publication

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The system can thus capture finer-grained information providing it is relevant to the patient's specific medical context. Benmimoune et al [8] subsequently extended this framework to implement questionnaires which are not 'hard-coded' to a specific domain. They proposed a further ontology that gives meaning to a specific question by relating it to a concept within a particular healthcare domain such as "digestive surgery".…”

Section: Adaptive Questionnairesmentioning

confidence: 99%

“…In this paper we expand upon previous research on adaptive medical questionnaires (primarily [3][4][5]8]), by combining the use of 2 distinct ontologies into a single system, so that the proposed ICS can adapt to both the medical and accessibility needs of a patient with mild LD. An ontology is a formal description of a domain that models a set of concepts within this domain, as well as the relationships that exist between them.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Ontology-Driven, Adaptive, Medical Questionnaires for Patients with Mild Learning Disabilities

Gibson

Bouamrane

Dunlop

2019

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Patients with Learning Disabilities (LD) have substantial and unmet healthcare needs, and previous studies have highlighted that they face both health inequalities and worse outcomes than the general population. Primary care practitioners are often the first port-of-call for medical consultations, and one issue faced by LD patients in this context is the very limited time available during consultations-typically less than ten minutes. In order to alleviate this issue, we propose a digital communication aid in the form of an ontology-based medical questionnaire that can adapt to a patient's medical context as well as their accessibility needs (physical and cognitive). The application is intended to be used in advance of a consultation so that a primary care practitioner may have prior access to their LD patients' self-reported symptoms. This work builds upon and extends previous research carried out in the development of adaptive medical questionnaires to include interactive and interface functionalities designed specifically to cater for patients with potentially complex accessibility needs. A patient's current health status and accessibility profile (relating to their impairments) is used to dynamically adjust the structure and content of the medical questionnaire. As such, the system is able to significantly limit and focus questions to immediately relevant concerns while discarding irrelevant questions. We propose that our ontology-based design not only improves the relevance and accessibility of medical questionnaires for patients with LDs, but also provides important benefits in terms of medical knowledge-base modularity, as well as for software extension and maintenance.

show abstract

Section: Adaptive Questionnairesmentioning

confidence: 99%