scholarly journals A Distributed Health Data Network Analysis of Survival Outcomes

2014 ◽  
Vol 96 (suppl 1) ◽  
pp. 7-11 ◽  
Author(s):  
Samprit Banerjee ◽  
Guy Cafri ◽  
Abby J. Isaacs ◽  
Stephen Graves ◽  
Elizabeth Paxton ◽  
...  
Keyword(s):  
Network Analysis ◽  
Health Data ◽  
Survival Outcomes ◽  
Data Network

Australia: Plans for national health data network

The Lancet ◽  
1992 ◽  
Vol 339 (8807) ◽  
pp. 1471-1472
Author(s):  
Nick Lush
Keyword(s):  
National Health ◽  
Health Data ◽  
Data Network

scholarly journals The disintegration of KDU-ČSL in 2009: The network analysis of co-voting strategies of the KDU-ČSL deputies

2020 ◽  
Vol 16 (2) ◽  
pp. 547-563
Author(s):  
Dušan Brabec
Keyword(s):  
Network Analysis ◽  
Political Party ◽  
Network Approach ◽  
Data Network ◽  
Time Period ◽  
Quantitative Nature ◽  
Party Group

AbstractThe main objective of this study is to capture and analyse the dynamics of co-voting ties among the members of the KDU-ČSL political party group in the 5th parliamentary term between 2006 and 2010 when some members of KDU-ČSL left this party and founded new political party TOP 09. For the analysis of the data, network approach and methods were used, with emphasis on the detection of possible rivalling communities in the constructed network of co-voting ties between deputies belonging-ČSL parliamentary party group in the analysed time period. The co-voting was treated as a proxy indicator of a possible relationship indicating co-operation or rivalry between the deputies. The main outcome of the study was the identification of the co-voting strategies and dynamics of the co-voting between deputies who left KDU-ČSL in 2009 and formed a new political party with their former party colleagues. The study is of a quantitative nature, but the main findings are connected to qualita-tive insights as well.

scholarly journals Design and operation of a distributed health data network

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Jeffrey Brown
Keyword(s):  
Data Quality ◽  
Real World ◽  
Health Data ◽  
Data Networks ◽  
Common Data Model ◽  
Administrative Claims ◽  
Data Network ◽  
Operational Design ◽  
Level Data ◽  
Electronic Health

IntroductionSeveral large health data networks such as FDA Sentinel, PCORnet, and the Canadian Network of Observational Drug Effect Studies (CNODES) facilitate multi-site research using real-world electronic health data such administrative claims data, electronic health record data and registries. Experience in operation of mutliple health data networks will described. Objectives and ApproachOver the past 15 years substantial progress has been made in developing the optimal network operational design, governance, and technical architecture to facilitate the creation and operation of large-scale distributed health data networks. The design, architecture, and operation of a sustainable health data network requires balancing the needs of the network stakeholders such as funders, data sources, investigators, and regulatory bodies while enabling rapid and efficient use of data to support evidence generation and decision making. Important topics include protection of patient privacy, security, data autonomy, distributed analytics, data quality, and protection of confidential information. ResultsThe design and architecture of existing distributed health data networks provides guidance regarding the potential operational model for new networks and identifies areas of research to improve network functionality and capabilities. Most health data network adopt a common data model approach to facilitate multi-site querying and data quality assessment. This approach is coupled with distributed querying in which data partners maintain physical and operational control of their data. This design maximizes protection of confidential and proprietary information and minimizes the need to share patient-level data. Privacy-preserving distributed regression approaches and methods that obviate the need to share person-level data while generating robust results help to ensure network participation. Strong security and governance structures are also necessary for effective operation of a distributed network. Conclusion/ImplicationsDistributed health data networks offer the opportunity to use real-world data for public health surveillance and comparative safety and effectiveness research across large populations. The operational design, technical and analytic architecture, and governance models of networks drive their acceptance and success.

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