黑料网

Dr Stephen Lean staff profile picture

Contact details +6469517113

Dr Stephen Lean PhD

Lecturer

School of Mathematical and Computational Sciences

Professional

Qualifications

  • Doctor of Philosophy - 黑料网 (2014)

Research Expertise

Research Interests

My research interests include data quality of electronic health information at point of care for clinical decision making. Recently I have also been involved in the emerging field of Learning Health Systems where knowledge generating processes are embedded within daily practice to produce continual improvements in patient care. A secondary research interest is in the creation of sythentic electronic health records.

Thematics

Resource Development and Management, Health and Well-being

Area of Expertise

Field of research codes
Health Information Systems (incl. Surveillance) (111711): Medical And Health Sciences (110000): Primary Health Care (111717): Public Health and Health Services (111700)

Keywords

Health Information Systems, Data Quality

Research Outputs

Journal

Shi, S., Huo, C., Guo, Y., Lean, S., Yan, G., & Yu, M. (2021). Truncated attention mechanism and cascade loss for cross-modal person re-identification. Journal of Intelligent and Fuzzy Systems. 41(6), 6575-6587
[Journal article]Authored by: Lean, S.
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McLachlan, S., Potts, HWW., Dube, K., Buchanan, D., Lean, S., Gallagher, T., . . . Fenton, N. (2018). The Heimdall framework for supporting characterisation of learning health systems. Journal of Innovation in Health Informatics. 25(2), 77-87
[Journal article]Authored by: Lean, S.
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McLachlan, S., Dube, K., Buchanan, D., Lean, S., Johnson, O., Potts, H., . . . Fenton, N. (2018). Learning health systems: The research community awareness challenge. J Innov Health Inform. 25(1), 981-981 Retrieved from https://hijournal.bcs.org/index.php/jhi/article/view/981
[Journal article]Authored by: Lean, S.
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McLachlan, S., Dube, K., Buchanan, D., Lean, S., Johnson, O., Potts, H., . . . Fenton, N. (2018). Learning health systems: The research community awareness challenge. Journal of Innovation in Health Informatics. 25(1), 38-40
[Journal article]Authored by: Lean, S.
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Thesis

Lean, SR. (2014). A computational approach to primary healthcare information quality indicators. (Doctoral Thesis, 黑料网, Turitea Campus) Lean, SR. (2014). A computational approach to primary healthcare information quality indicators. (Doctoral Thesis)
[Doctoral Thesis]Authored by: Lean, S.
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Conference

Lean, SR. (2012, November). A conceptual framework for determining health information quality indicators. Presented at Health Informatics New Zealand Conference 2012. Rotorua, New Zealand.
[Conference Oral Presentation]Authored by: Lean, S.
Lean, SR., Guesgen, HW., Hunter, I., & Dube, K. (2012). A conceptual framework for determining health information quality indicators. : Health Informatics New Zealand Conference 2012
[Conference Paper in Published Proceedings]Authored by: Guesgen, H., Lean, S.
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Other

Lean, SR. (2013, June). Determining health information quality indicators. Presented at Auckland University of Technology, New Zealand.
[Oral Presentation]Authored by: Lean, S.

Teaching and Supervision

Teaching Statement

I am currently based in Tianjin, China, delivering teaching services as part of a double degree 3 + 1 collaborative programme between 黑料网 and Hebei University of Technology.

Contact Supervisor