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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Veröffentlicht in:	Annals of the New York Academy of Sciences Jg. 1387; H. 1; S. 44 - 53
Hauptverfasser:	Shaban‐Nejad, Arash, Lavigne, Maxime, Okhmatovskaia, Anya, Buckeridge, David L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Wiley Subscription Services, Inc 01.01.2017
Schlagworte:	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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Abstract	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.
AbstractList	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.
Author	Buckeridge, David L. Shaban‐Nejad, Arash Okhmatovskaia, Anya Lavigne, Maxime
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Cites_doi	10.1080/713848278 10.1136/jamia.2009.001578 10.1136/amiajnl-2011-000322 10.24095/hpcdp.34.S1.01 10.1007/11814771_26 10.1093/nar/gkr972 10.1136/jamia.2010.006098 10.3233/IDA-2003-7602 10.1016/S0140-6736(12)61689-4 10.1186/2041-1480-5-14 10.1016/j.ijmedinf.2006.05.040 10.1186/1472-6947-12-28 10.1016/j.websem.2007.03.004 10.1146/annurev-publhealth-032315-021353 10.1146/annurev.publhealth.031308.100134 10.1186/1743-8462-6-9
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Snippet	Population health decision makers must consider complex relationships between multiple concepts measured with differential accuracy from heterogeneous data...
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SubjectTerms	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
Title	PopHR: a knowledge‐based platform to support integration, analysis, and visualization of population health data
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