Scott McLachlan
Scott McLachlan
Queen Mary University of London
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Cited by
Cited by
Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record
J Walonoski, M Kramer, J Nichols, A Quina, C Moesel, D Hall, C Duffett, ...
Journal of the American Medical Informatics Association, 2017
The delivery of preventive care to clients of community health services
K McElwaine, M Freund, J Campbell, Elizabeth Knight, J Bowman, ...
BMJ Health Services Research 13 (1), 2013
Using the caremap with health incidents statistics for generating the realistic synthetic electronic healthcare record
S McLachlan, K Dube, T Gallagher
2016 IEEE International Conference on Healthcare Informatics (ICHI), 439-448, 2016
The Heimdall framework for supporting characterisation of learning health systems
S McLachlan, H Potts, K Dube, D Buchanan, S Lean, T Gallagher, ...
Journal of Innovation in Health Informatics 25 (2), 2018
Learning Health Systems: The research community awareness challenge.
S McLachlan, K Dube, D Buchanan, S Lean, O Johnson, H Potts, ...
J Innov Health Inform, 2018
A framework for analysing learning health systems: Are we removing the most impactful barriers?
S McLachlan, K Dube, O Johnson, D Buchanan, HWW Potts, T Gallagher, ...
Learning health systems 3 (4), e10189, 2019
Realism in synthetic data generation: a thesis presented in fulfilment of the requirements for the degree of Master of Philosophy in Science, School of Engineering and Advanced …
S McLachlan
Massey University, 2017
Clinical Caremap Development: How can caremaps standardise care when they are not standardised?
S McLachlan, E Kyrimi, N FENTON, K Dube
COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing
NE Fenton, M Neil, M Osman, S McLachlan
Journal of Risk Research, 1-4, 2020
Assessment of the methodological quality of local clinical practice guidelines on the identification and management of gestational diabetes
B Daley, G Hitman, N Fenton, S McLachlan
BMJ open 9 (6), e027285, 2019
The ATEN Framework for creating the realistic synthetic electronic health record
S McLachlan, K Dube, T Gallagher, B Daley, J Walonoski
Predicted by Orwell: A discourse on the gradual shift in electronic surveillance law
S McLachlan
arXiv preprint arXiv:2004.11594, 2020
Bayesian Networks in Healthcare: the chasm between research enthusiasm and clinical adoption
E Kyrimi, S McLachlan, K Dube, N Fenton
medRxiv, 2020
Bayesian Networks in Healthcare: Distribution by Medical Condition
S McLachlan, K Dube, GA Hitman, N Fenton, E Kyrimi
Artificial Intelligence in Medicine, 101912, 2020
Causal explanations, error rates, and human judgment biases missing from the COVID-19 narrative and statistics
N Fenton, GA Hitman, M Neil, M Osman, S McLachlan
PsyArXiv, 2020
The fundamental limitations of COVID-19 contact tracing methods and how to resolve them with a Bayesian network approach
S McLachlan, P Lucas, K Dube, GS McLachlan, GA Hitman, M Osman, ...
Realistic Synthetic Data Generation: The ATEN Framework
S McLachlan, K Dube, T Gallagher, J Simmonds, N Fenton
Biomedical Engineering Systems and Technologies. BIOSTEC 2018 …, 2019
Supporting preliminary decisions on patient requests for access to health records: An integrated ethical and legal framework
S McLachlan, K Dube, T Gallagher, JA Simmonds
2015 International Conference on Healthcare Informatics, 199-207, 2015
Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies
S McLachlan, N Zanamwe, E Kyrimi, J Thomson, N Fenton
Incorporating Clinical Decisions into Standardised Caremaps
S Mclachlan, E Kyrimi, B Daley, M Marsden, S Finer, G Hitman, N Fenton
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