I am an established health technologist and researcher engaged since June 2017 as a PDRA on the EPSRC-funded Pambayesian project at Queen Mary University of London. The project seeks to develop a new generation of intelligent medical decision support systems. My role on the project has been to design and oversee development of software applications, support the research work of other PDRAs and PhD students, all while undertaking research into learning health systems. This has resulted in 17 publications, 11 in which I am the lead author and another 3 for which I was supervising or senior author.
I hold multiple graduate and postgraduate qualifications and expertise in health science, health law and ethics, computing and information sciences. Having successfully defended my PhD thesis at Queen Mary in December 2019, I expect to receive my doctoral award in Computer Science in early 2020, as well as a Master of Science in Medicine (Pharmacology and Medical Device Development).
I have almost two decades of experience contracting as an independent technical consultant, having developed a reputation as a highly skilled problem solver. I have designed and deployed commercial and Health IT solutions for federal and local government bodies, utility providers and household name-brands including HSBC, Vodafone, Hewlett Packard, IBM, Zespri and Fujitsu. During the last decade I led and worked on projects totalling more than £15 million, including being lead solution architect on the successful NZD$3.2 million (£1.6 million) New Zealand Ministry of Health Provider Regulation and Monitoring System (PRMS) that launched in November 2013.
I have extensive teaching experience including two technical education accreditations: Microsoft Certified Trainer (MCT) and CompTIA Technical Trainer (CTT). I have delivered over 800 hours of training for Private Training Establishments (PTEs) and corporate clients across a range of subject areas, including courses covering design, deployment and third-line support of many Microsoft, Cisco and VMware technology platforms. I am competent to teach a range of computer science degree modules including: networking; internet protocols, applications and web development; databases; intellectual property, cyber law and computing ethics; software and solution architecture; computer and information science research methods; systems management and testing; health information management.
My research interests cover a wide range of the Health Informatics domain, including: learning health systems; electronic health records; generation of realistic synthetic health records for secondary uses such as research and teaching; health and legal decision support systems; the legal and ethical perspectives of digital privacy, security and electronic surveillance; health law; data integration, and; human-computer interaction. I am a founding member of the Health Informatics and Knowledge Engineering Research (HiKER) Group that has delivered research in the areas of medico-legal decision support, privacy-preservation in the secondary use of electronic patient data and Learning Health Systems. At Queen Mary I have played a major role in developing several key funding applications to the ERC, EPSRC and Barts Health Trust Charity, and was the Researcher-CoI on a £500,000 MRC learning health systems funding application.
PhD in Computer Science (Health Informatics) - Queen Mary University of London (UK) - July 2017 to December 2019 - Viva Passed, 16th December 2019
Diploma in Law (DipLaw) - Charles Darwin University (Aus) - February 2019 to December 2019 - Completed 5th December 2019
Graduate Diploma in Law (GDL) - University of Waikato (NZ) - July 2015 to July 2016 - Conferred 12th October 2016
Masters in Law (LLM) - Australian National University (Aus) - February 2017 to May 2018 - Conferred 13th July 2018
Graduate Diploma in Information Science (GDipInfSc) - Massey University (NZ) - February 2014 to March 2015 - Conferred 15th April 2015
Master of Philosophy in Science (MPhil) - Massey University (NZ) - February 2016 to November 2016 - Conferred 21st June 2017
Graduate Diploma in Business (GDipBus) - Open Polytechnic (NZ) - January 2015 to June 2016 - Conferred 15th July 2016
Graduate Certificate in Tertiary Teaching and Learning Practices (GCTTLP) - University of Wollongong (AUS) - July 2016 to June 2017 - Conferred 19th July 2017
Diploma in Systems Engineering (DSysEng) - AMES (NZ) - February 2004 to November 2004 - Conferred 20th December 2004
Microsoft Certified Professional (MCP) - Conferred 2001
Microsoft Certified Systems Administrator (MCSA) - Conferred 2004
Microsoft Certified Systems Administrator: Messaging (MCSA:Messaging) - Conferred 2004
Microsoft Certified Trainer (MCT) - Conferred 2004
Microsoft Certified Systems Engineer (MCSE) - Conferred 2005
CompTIA A+ (A+) - Conferred 2004
CompTIA Network+ (Network+) - Conferred 2004
CompTIA Technical Trainer (CTT) - Conferred 2004
VMWare VSphere 4 - Completed 2009
VMWare VSphere 3 - Completed 2006
VMWare VSphere 2.5 - Completed 2005
Cisco Certified Network Associate (CCNA) Routing and Switching - Completed 2004
Cisco Certified Network Associate (CCNA) Service Provider - Completed 2009
Allied Telesis Advanced Networking - Completed 2005
HP EVA Solution Design and Installation - Completed 2004
HP Procurve Installation and Support - Completed 2009
HP Dataprotector - Completed 2010
NetApp ONTAP Cluster Administration - Completed 2008
McLachlan, S., Kyrimi, E., Dube, K., & Fenton, N. (2020). Standardising Clinical Caremaps: Model, Method and Graphical Notation for Caremap Specification. Manuscript accepted for publication in Communications in Computer and Information Science, Springer Nature, DE.
Daley, B., Kyrimi, E., Dube, K., Fenton, N., Hitman, G.A., & McLachlan, S. (2020). Data visualisation in midwifery: The challenge of seeing what datasets hide. Extended abstract and Poster accepted for publication at Medical Informatics Europe (MIE) 2020 Conference in Geneva, Switzerland.
McLachlan, S., Dube, K., Hitman, G.A., Fenton, N.E., & Kyrimi, E. (2020). Bayesian Networks in Healthcare: Distribution by Medical Condition. Manuscript submitted Jan 2020 to Artificial Intelligence in Medicine Journal (AIM).
McLachlan, S., Kyrimi, E., & Fenton, N.E. (2019). Public Authorities as Defendant: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden. Manuscript submitted Jan 2020 to the 9th International Conference on Advanced Information Technologies and Applications.
McLachlan, S., Kyrimi, E., Dube, K., Hitman, G.A., Simmonds, J., & Fenton, N.E. (2019). Towards Standardisation of clinical care process specifications. Manuscript accepted Jan 2020 for publication in the SAGE Health Informatics Journal (HIJ).
Kyrimi, E., McLachlan, S., Dube, K., & Fenton, N. (2019). Bayesian Networks in Healthcare: The chasm between Research Enthusiasm and Clinical Adoption. Manuscript submitted Dec 2019 to BMJ Health and Care Informatics.
Kyrimi, E., Neves, M., Neil, M., Marsh, W., McLachlan, S., & Fenton, N. (2019). Medical Idioms: Reasoning patterns to develop medical Bayesian Networks. Manuscript submitted Nov 2019 to the International Journal of Biomedical Informatics.
Dube, K., McLachlan, S., Zanamwe, N., Kyrimi, E., Thomson, J., & Fenton, N. (2019). Managing Knowledge Incorporated into Solution Models for Customisable Global Health Technologies. IEEE Global Humanitarian Technology Conference (GHTC), Seattle, USA.
McLachlan, S., Dube, K., Kyrimi, E., & Fenton, N. (2019). LAGOS: Making sense of Learning Health Systems and how they can integrate with Patient Care. BMJ Health and Care Informatics (BMJHCI) 26(1).
McLachlan, S., Johnson, O., Dube, K., Buchanan, D., Potts, H.W.W., Gallagher, T., & Fenton, N. (2019). A framework for analysing learning health systems: Are we removing the most impactful barriers? Journal of Learning Health Systems. DOI: 10.1002/lrh2.10189
Daley, B., Hitman, G.A., Fenton, N., & McLachlan, S. (2019) Assessment of the quality and content of national and international guidelines on the identification and management of Diabetes in Pregnancy: An AGREE II Study. BMJ Open, e:027285.
McLachlan, S., Kyrimi, E., Dube, K., & Fenton, N. (2019). Clinical caremap development: How can caremaps standardise care when they are not standardised? Proceedings of the 12th International Joint Conference on Biomedical Systems and Technologies (BIOSTEC 2019), volume 5: HEALTHINF, pp 123-134. DOI: 10.5220/0007522601230134
McLachlan, S., Dube, K., Gallagher, T., Simmonds, J., & Fenton, N. (2019) Realistic Synthetic Data Generation: The ATEN Framework. In: Cliquet, Jr. A. et al (eds) Communications in Computer and Information Science, vol 1024. Springer Nature, Cham. DOI: 10.1007/978-3-030-29196-9_25
McLachlan, S., Potts, H.W.W., Dube, K., Buchanan, D., Lean, S., Gallagher, T., Johnson, O., Daley, B., Marsh, W., & Fenton, N. (2018) The Heimdall Framework for supporting characterisation of Learning Health Systems. Journal of Innovation in Health Informatics, 25(2)
McLachlan, S., Dube, K., Buchanan, D., Lean, S., Johnson, O., Potts, H.W.W., Gallagher, T., Marsh, W., & Fenton, N. (2018) Learning Health Systems: The research community awareness challenge. Journal of Innovation in Health Informatics, 25(1).
McLachlan, S. (2018) Surrogate Consent: Parents, Physicians, and the Family Court, Peer reviewed Preprint. DOI: 10.13140/RG.2.2.17732.73600
Gallagher, T., Dube, K., & McLachlan, S. (2018) Ethical Issues in Secondary Use of Personal Health Information. IEEE Future Directions, May 2018.
McLachlan, S., Dube, K., Gallagher, T., Daley, B., & Walonoski, J. (2018) The ATEN Framework for creating the Realistic Synthetic Electronic Health Record, in Proceedings of the 11th International Joint Conference on Biomedical Systems and Technologies (BIOSTEC 2018), volume 5: HEALTHINF, pp 220-230. DOI: 10.5220/0006677602200230
McLachlan, S. (2018) This opioid epidemic is brought to you by Big Pharma: But don’t worry, they’re also bringing you the cure! Peer reviewed preprint. DOI: 10.13140/RG.2.2.10005.78564/1
Walonoski, J., Kramer, M., Nichols, J., Quina, A., Moesel, C., Hall, D., Duffett, C., Dube, K., Gallagher, T., & McLachlan, S. (2017). Synthea: An approach, method and software mechanism for generating synthetic patients and the synthetic electronic healthcare record. Journal of the American Medical Informatics Association (JAMIA), DOI: 10.1093/jamia/ocx079
McLachlan, S., Dube, K. & Gallagher, T. (2016). CoMSER: A method for using CareMaps and health statistics to automatically generate the Realistic Synthetic Electronic Health Record. Proceedings of the IEEE International Conference on Health Informatics (ICHI) 2016.
McLachlan, S., Dube, K., Gallagher, T. & Simmonds, J. (2015). Supporting preliminary decisions on patient requests for access to Health Records. Proceedings of the IEEE International Conference on Health Informatics (ICHI) 2015.
