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change and implementation research, Implement. Sci. 7 (2012) 37. doi:10.1186/1748-5908-7-37. [13] H.L. Colquhoun, J.C. Brehaut, A. Sales, N. Ivers, J. Grimshaw, S. Michie, K. Carroll, M. Chalifoux, and K.W. Eva, A systematic review of the use of theory in randomized controlled trials of audit and feedback., Implement. Sci. 8 (2013) 66. doi:10.1186/1748-5908-8-66. [14] M.K. Goldstein, B.B. Hoffman, R.W. Coleman, M.A. Musen, S.W. Tu, A. Advani, R. Shankar, and M. O’Connor, Implementing clinical practice guidelines while taking account of changing evidence: ATHENA DSS, an easily modifiable decision-support system for managing hypertension in primary care., Proceedings. AMIA Symp. (2000) 300–4. http://www.ncbi.nlm.nih.gov/pubmed/11079893. [15] A.C.R. Simon, F. Holleman, W.T. Gude, J.B.L. Hoekstra, L.W. Peute, M.W.M. Jaspers, and N. Peek, Safety and usability evaluation of a web-based insulin self-titration system for patients with type 2 diabetes mellitus, Artif. Intell. Med. 59 (2013). doi:10.1016/j.artmed.2013.04.009. [16] L. Fagan, and J. Kunz, Extensions to the Rule-Based Formalism for a Monitoring Task, in: Buchanan BG, Shortliffe EH, "Rule-Based Expert Syst. MYCIN Exp. Stanford Heuristic Program. Proj., Addison- Wesley, 1984: pp. 397–423. [17] F. Attneave, M. B., and D.O. Hebb, The Organization of Behavior; A Neuropsychological Theory, Am. J. Psychol. 63 (1950) 633. doi:10.2307/1418888. [18] T.J. Ypma, Historical Development of the Newton–Raphson Method, SIAM Rev. 37 (1995) 531–551. doi:10.1137/1037125. [19] J.H. Friedman, Greedy function approximation: A gradient boosting machine, Ann. Stat. 29 (2001) 1189– 1232. doi:DOI 10.1214/aos/1013203451. [20] I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning, MIT Press, 2016. [21] N.M. Ivers, A. Sales, H. Colquhoun, S. Michie, R. Foy, J.J. Francis, and J.M. Grimshaw, No more “business as usual” with audit and feedback interventions: towards an agenda for a reinvigorated intervention., Implement. Sci. 9 (2014) 14. doi:10.1186/1748-5908-9-14. [22] B. Gardner, C. Whittington, J. McAteer, M.P. Eccles, and S. Michie, Using theory to synthesise evidence from behaviour change interventions: The example of audit and feedback, Soc. Sci. Med. 70 (2010) 1618– 1625. doi:10.1016/j.socscimed.2010.01.039. [23] G. Jamtvedt, J.M. Young, D.T. Kristoffersen, M.A. O’Brien, and A.D. Oxman, Audit and feedback: effects on professional practice and health care outcomes., Cochrane Database Syst. Rev. (2006) CD000259. doi:10.1002/14651858.CD000259.pub2. [24] N.J. Gould, F. Lorencatto, S.J. Stanworth, S. Michie, M.E. Prior, L. Glidewell, J.M. Grimshaw, and J.J. Francis, Application of theory to enhance audit and feedback interventions to increase the uptake of evidence-based transfusion practice: an intervention development protocol., Implement. Sci. 9 (2014) 92. doi:10.1186/s13012-014-0092-1. [25] S. Michie, M. Richardson, M. Johnston, C. Abraham, J. Francis, W. Hardeman, M.P. Eccles, J. Cane, and C.E. Wood, The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions., Ann. Behav. Med. 46 (2013) 81–95. doi:10.1007/s12160-013-9486-6. [26] W.T. Gude, M.M. van Engen-Verheul, S.N. van der Veer, N.F. de Keizer, and N. Peek, How does audit and feedback influence intentions of health professionals to improve practice? A laboratory experiment and field study in cardiac rehabilitation., BMJ Qual. Saf. 26 (2017) 279–287. doi:10.1136/bmjqs-2015- 004795. [27] W.T. Gude, M.M. van Engen-Verheul, S.N. van der Veer, H.M.C. Kemps, M.W.M. Jaspers, N.F. de Keizer, and N. Peek, Effect of a web-based audit and feedback intervention with outreach visits on the clinical performance of multidisciplinary teams: a cluster-randomized trial in cardiac rehabilitation., Implement. Sci. 11 (2016) 160. doi:10.1186/s13012-016-0516-1. [28] W.T. Gude, M.J. Roos-Blom, S.N. van der Veer, E. de Jonge, N. Peek, D.A. Dongelmans, and N.F. de Keizer, Electronic audit and feedback intervention with action implementation toolbox to improve pain management in intensive care: Protocol for a laboratory experiment and cluster randomised trial, Implement. Sci. 12 (2017) 68. doi:10.1186/s13012-017-0594-8. [29] W.T. Gude, M.-J. Roos-Blom, S.N. van der Veer, D.A. Dongelmans, E. de Jonge, J.J. Francis, N. Peek, and N.F. de Keizer, Health professionals’ perceptions about their clinical performance and the influence of audit and feedback on their intentions to improve practice: a theory-based study in Dutch intensive care units, Implement. Sci. 13 (2018) 33. doi:10.1186/s13012-018-0727-8. W.T.GudeandN.Peek /ControlTheory toDesignandEvaluateAuditandFeedback Interventions170
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Applied Interdisciplinary Theory in Health Informatics Knowledge Base for Practitioners
Title
Applied Interdisciplinary Theory in Health Informatics
Subtitle
Knowledge Base for Practitioners
Authors
Philip Scott
Nicolette de Keizer
Andrew Georgiou
Publisher
IOS Press BV
Location
Amsterdam
Date
2019
Language
English
License
CC BY-NC 4.0
ISBN
978-1-61499-991-1
Size
16.0 x 24.0 cm
Pages
242
Category
Informatik
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Applied Interdisciplinary Theory in Health Informatics