Using flawed, uncertain, proximate and sparse (FUPS) data in the context of complexity: learning from the case of child mental health
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
http://link.springer.com/content/pdf/10.1186/s12916-018-1079-6.pdf
Reference50 articles.
1. Raghupathi W, Raghupathi V. Big data analytics in healthcare: promise and potential. Health Inform Sci Syst. 2014;2:3.
2. McIntosh AM, Stewart R, John A, Smith DJ, Davis K, Sudlow C, Hotopf M. Data science for mental health: a UK perspective on a global challenge. Lancet Psychiatry. 2016;3(10):993–8.
3. Lilford R, Mohammed MA, Spiegelhalter D, Use TR. misuse of process and outcome data in managing performance of acute medical care: avoiding institutional stigma. Lancet. 2004;363(9415):1147–54.
4. Black N. Assessing the quality of hospitals. BMJ. 2010;340:c2066.
5. Greenhalgh T, Stramer K, Bratan T, Byrne E, Mohammad Y, Russell J. Introduction of shared electronic records: multi-site case study using diffusion of innovation theory. BMJ (Clinical Research Ed). 2008;337:a1786.
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