PEAC Events: identification of Predictable, Expensive, Avoidable, and Cardinal events within a learning health system. (2017)

Record Type:: Journal Article
Title:: PEAC Events: identification of Predictable, Expensive, Avoidable, and Cardinal events within a learning health system. (2017)
Main Title:: PEAC Events: identification of Predictable, Expensive, Avoidable, and Cardinal events within a learning health system.
Authors:: Whyatt, David
Yap, Matthew
Tuson, Matthew
Kok, Mei Ruu
Turlach, Berwin
Boruff, Bryan
Geelhoed, Elizabeth
Vickery, Alistair
Is Part Of:: International journal of population data science. Volume 1:Number 1(2017)
Journal:: International journal of population data science
Issue:: Volume 1:Number 1(2017)
Issue Display:: Volume 1, Issue 1 (2017)
Year:: 2017
Volume:: 1
Issue:: 1
Issue Sort Value:: 2017-0001-0001-0000
Page Start:
Page End:
Publication Date:: 2017
Subjects:: Population research -- Periodicals
Population -- Data processing -- Periodicals
Population -- Statistical methods -- Periodicals
304.6072
Journal URLs:: https://ijpds.org/ ↗
DOI:: ↗
Languages:: English
ISSNs:: 2399-4908
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library HMNTS - ELD Digital store
Ingest File:: 12829.xml