Ontology-based decision support plateform, for evaluating the clinical severity of Covid-19 patients and orienting them towards the right medical care option – ORIENT-COVID
In Lebanon, the COVID19 pandemic was added in March 2020 to the already very complicated context of the country which follows the conjunction of several crises affecting the Lebanese state and its population.
Currently, the management of the COVID19 pandemic in Lebanon does not include interventions planned at the central, regional or even local level to assess the risks of hospitalization or clinical severity of infected people. This can hamper the referral of patients to the right level of care appropriate to their level of clinical risk, which can negatively impact access to care in a context of limited resources.
We propose to design and evaluate an automated clinical decision support system, using symbolic artificial intelligence (based on ontologies and inference rules) which, from patient data and knowledge from the literature and the recommendations validated by learned societies, could offer a relevant clinical orientation for patients tested positive for COVID19 according to the following modalities: access to hospitalization (regular or critical), care in a community health center with medical follow-up and paramedical examinations, support by mobile teams at home or via telemedicine, self-support at home with education and recommendations supported by telephone hotline if necessary.
The interest of this system is not limited to the initial orientation, but it could especially support the care teams in the recognition of risk and in the management of the different stages of care by following established clinical algorithms, thus contributing to standardize practices as well as patient follow-up. We propose to evaluate this system first "in vitro" on fictitious cases with a consensus panel, then "in vivo" in the real context and under the aforementioned modalities of use.
Monsieur Jean-Baptiste Lamy (Laboratoire d'Informatique Médicale et d'Ingénieurie des Connaissances en e-Santé)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
HLG-CHU Hopital Libanais Geitaoui-CHU
LIMICS Laboratoire d'Informatique Médicale et d'Ingénieurie des Connaissances en e-Santé
Help of the ANR 95,000 euros
Beginning and duration of the scientific project: December 2021 - 18 Months