PopHR: a knowledge‐based platform to support integration, analysis, and visualization of population health data

Population health decision makers must consider complex relationships between multiple concepts measured with differential accuracy from heterogeneous data sources. Population health information systems are currently limited in their ability to integrate data and present a coherent portrait of popul...

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Vydané v:Annals of the New York Academy of Sciences Ročník 1387; číslo 1; s. 44 - 53
Hlavní autori: Shaban‐Nejad, Arash, Lavigne, Maxime, Okhmatovskaia, Anya, Buckeridge, David L.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Wiley Subscription Services, Inc 01.01.2017
Predmet:
Biological Ontologies - trends
Data Mining - methods
Data Mining - trends
Decision making
Decision Making, Computer-Assisted
Electronic Health Records
Epidemiology
Evidence-Based Medicine - methods
Evidence-Based Medicine - trends
health data analytics
health informatics
Health Status Indicators
Humans
Image Interpretation, Computer-Assisted - methods
Internet
Population
population health record
population health surveillance
Public health
Public Health Informatics - methods
Public Health Informatics - trends
semantic data modeling
Semantic web
Software
Software Design
Systems Integration
semantic data modeling
health informatics
population health surveillance
population health record
health data analytics
ISSN:0077-8923, 1749-6632
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Shrnutí:Population health decision makers must consider complex relationships between multiple concepts measured with differential accuracy from heterogeneous data sources. Population health information systems are currently limited in their ability to integrate data and present a coherent portrait of population health. Consequentially, these systems can provide only basic support for decision makers. The Population Health Record (PopHR) is a semantic web application that automates the integration and extraction of massive amounts of heterogeneous data from multiple distributed sources (e.g., administrative data, clinical records, and survey responses) to support the measurement and monitoring of population health and health system performance for a defined population. The design of the PopHR draws on the theories of the determinants of health and evidence‐based public health to harmonize and explicitly link information about a population with evidence about the epidemiology and control of chronic diseases. Organizing information in this manner and linking it explicitly to evidence is expected to improve decision making related to the planning, implementation, and evaluation of population health and health system interventions. In this paper, we describe the PopHR platform and discuss the architecture, design, key modules, and its implementation and use.
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ISSN:0077-8923
1749-6632
DOI:10.1111/nyas.13271