PHIO: a knowledge base for interpretation and calculation of public health indicators.
Existing population health indicators tend to be out-of-date, not fully available at local levels of geography, and not developed in a coherent/consistent manner, which hinders their use in public health. The PopHR platform aims to deliver an electronic repository that contains multiple aggregated clinical, administrative, and environmental data sources to provide a coherent view of the health status of populations in the province of Quebec, Canada. This platform is designed to provide representative information in near-real time with high geographical resolution, thereby assisting public health professionals, analysts, clinicians and the public in decision-making. This paper presents our ongoing efforts to develop an integrated population health indicator ontology (PHIO) that captures the knowledge required for calculation and interpretation of health indicators within a PopHR semantic framework.
McGill Clinical & Health Informatics, Department of Epidemiology and Biostatistics, McGill University, Montreal, Quebec, H3A 1A3 Canada.
Arash
A
Shaban-Nejad
Anya
A
Okhmatovskaia
Masoumeh T
MT
Izadi
Nona
N
Naderi
Luke
L
Mondor
Christian
C
Jauvin
David L
DL
Buckeridge
D016208:Databases, Factual; D020000:Decision Support Systems, Clinical; D003920:Diabetes Mellitus / Q000145:classification*; D006305:Health Status Indicators; D006801:Humans; D051188:Knowledge Bases; D009323:Natural Language Processing; D012984:Software; D018875:Vocabulary, Controlled