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Autor:
Kim Sutherland, Wilson Yeung, Yoke Mak, Jean-Frederic Levesque, the NSW Health Clinical Analytics Working Group
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-8 (2020)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background Clinical analytics is a rapidly developing area of informatics and knowledge mobilisation which has huge potential to improve healthcare in the future. It is widely acknowledged to be a powerful mediator of clinical decision making, patien
Publikováno v:
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-8 (2020)
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-8 (2020)
Background Building and validating electronic algorithms to identify patients with specific disease profiles using health data is becoming increasingly important to disease surveillance and population health management. The aim of this study was to d
Autor:
Joanne McGregor, Ronan A Lyons, Ann John, Rosie Cornish, Frank David John Dunstan, David Lawrence Fone, Keith Lloyd
Publikováno v:
John, A, McGregor, J, Fone, D, Dunstan, F, Cornish, R, Lyons, R & Lloyd, K R 2016, ' Case-finding for common mental disorders of anxiety and depression in primary care: an external validation of routinely collected data ', BMC Medical Informatics and Decision Making, vol. 16, 35 . https://doi.org/10.1186/s12911-016-0274-7
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background The robustness of epidemiological research using routinely collected primary care electronic data to support policy and practice for common mental disorders (CMD) anxiety and depression would be greatly enhanced by appropriate validation o