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Dr Weizi (Vicky) Li

Associate Professor of Informatics and Digital Health

Deputy Director of Informatics Research Centre
Programme Director MSc Digital and Technology Solutions
Admissions Tutor for Informatics MSc Programmes

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Specialisms

  • Artificial Intelligence and machine learning, 
  • Information Systems, 
  • Digital Health, 
  • Advanced Analytics, 
  • Finance Technology, 
  • Decision Support System, 
  • Digital Leadership and Strategy

Location

LG10, Henley Business School, Whiteknights campus

With a background in informatics, Dr Li is an interdisciplinary researcher focusing on solving challenges in healthcare using digital technology that combines AI, machine learning, information systems, medical science and social science.

Dr. Weizi (Vicky) Li is Associate Professor in Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. Her research focuses on digital health, information systems, artificial intelligence and machine learning applications. She is also a Fellow of the Chartered Institute of IT (FBCS).

Her research impact of improving healthcare quality and efficiency using the digital platform is recognised as one of the winners of O2RB Excellence in Impact Awards in 2018, supported by University of Oxford Economic Social Research Council Impact Acceleration Account. Her research with the NHS on “Applications and Implications of Machine Learning: Understanding and Predicting Healthcare Resource Usage and Patient Risk for Improved Population Engagement” was awarded the Economic Social Research Council grant in 2018. And her project of using machine learning to reduce appointment non-attendance in collaboration with the Royal Berkshire NHS Foundation Trust was awarded the Research Engagement and Impact Award in 2020.

Her other research projects are funded by private companies, such as the NHS, The Health Foundation, Innovate UK, European Commission. Dr Li is also the programme director of MSc Digital & Technology Solutions, and is the module convener of MSc Digital Health and Data Analytics.

Reference: Dashtban, M. and Li, W. (2021) Predicting non-attendance in hospital outpatient appointments using Deep Learning Approach. Health Systems. ISSN 2047-6965 (In Press)
Reference: Dashtban, M. and Li, W. (V.) (2020) Predicting risk of hospital readmission for comorbidity patients through a novel deep learning framework. In: 53rd Hawaii International Conference on System Sciences, 7-10 Jan 2020, Maui, Hawaii.
Reference: Wang, T. and Li, W. (V.) (2020) Blood glucose forecasting using LSTM variants under the context of open source artificial pancreas system. In: 53rd Hawaii International Conference on System Sciences, 7-10 Jan 2020, Maui, Hawaii.
Reference: Islam, A., Li, W. , Johnson, K. and Lauchande, P. (2020) How far has integrated care come? Applying an asymmetric lens to inter-organisation trust amongst health and social care organisations. International Entrepreneurship and Management Journal, 16 (2). pp. 529-554. ISSN 1555-1938 doi: https://doi.org/10.1007/s11365-019-00583-8
Reference: Liu, L., Li, W. , Aljohani, N. R., Lytras, M. D., Hassan, S.-U. and Nawaz, R. (2020) A framework to evaluate the interoperability of0 information systems – measuring the maturity of the business process alignment. International Journal of Information Management, 54. 102153. ISSN 0268-4012 doi: https://doi.org/10.1016/j.ijinfomgt.2020.102153
Reference: Nunan, J., Clarke, D., Malakouti, A., Tannetta, D. , Calthrop, A., Xu, X. H., Chan, N. B., Khali, R., Li, W. and Walden, A. (2020) Triage into the community for COVID-19 (TICC-19) patients pathway - service evaluation of the virtual monitoring of patients with COVID pneumonia. Acute Medicine Journal, 19 (4). pp. 183-191.
Reference: Liu, S., Zhang, R., Shang, X. and Li, W. (2020) Analysis for warning factors of type 2 diabetes mellitus complications with Markov blanket based on a Bayesian network model. Computer Methods and Programs in Biomedicine, 188. 105302. ISSN 1872-7565 doi: https://doi.org/10.1016/j.cmpb.2019.105302
Reference: Wang, W., Li, W. , Zhang, N. and Liu, K. (2019) Portfolio formation with preselection using deep learning from long-term financial data. Expert Systems with Applications, 143. 113042. ISSN 0957-4174 doi: https://doi.org/10.1016/j.eswa.2019.113042
Reference: Huang, H., Shang, X., Zhao, H., Wu, N., Li, W. (V.) , Xu, Y., Zhou, Y. and Lei, F. (2019) Discovering medication patterns for high-complexity drug-using diseases through electronic medical records. IEEE Access, 7. pp. 125280-125299. ISSN 2169-3536 doi: https://doi.org/10.1109/ACCESS.2019.2937892
Reference: Xu, W., Shang, X., Wang, J. and Li, W. (2019) A novel approach to multi-attribute group decision-making based on interval-valued intuitionistic fuzzy power Muirhead mean. Symmetry, 11 (3). 441. ISSN 2073-8994 doi: https://doi.org/10.3390/sym11030441
Reference: Wang, J., Zhang, R., Zhu, X., Zhou, Z., Shang, X. and Li, W. (2019) Some q-rung orthopair fuzzy Muirhead means with their application to multi-attribute group decision making. Journal of Intelligent & Fuzzy Systems, 36 (2). pp. 1599-1614. ISSN 1875-8967 doi: https://doi.org/10.3233/JIFS-18607
Reference: Dashtban, M. and Li, W. (2019) Deep learning for predicting non-attendance in hospital outpatient appointments. In: 52nd Annual Hawaii International Conference on System Sciences (HICSS), pp. 3731-3740.
Reference: Xu, Y., Shang, X., Wang, J., Zhang, R., Li, W. and Xing, Y. (2019) A method to multi-attribute decision making with picture fuzzy information based on Muirhead mean. Journal of Intelligent and Fuzzy Systems, 36 (4). pp. 3833-3849. ISSN 1875-8967 doi: https://doi.org/10.3233/JIFS-172130
Reference: Li, W. , Islam, A., Johnson, K., Lauchande, P., Shang, X. and Shen, X. (2018) Understanding inter-organizational trust among integrated care service provider networks: a perspective on organizational asymmetries. Health Policy, 122 (12). pp. 1356-1363. ISSN 0168-8510 doi: https://doi.org/10.1016/j.healthpol.2018.09.003
Reference: Chen, D., Runtong, Z., Xiaopu, S., Li, W. (V.) and Zhao, H. (2018) Predicting the interaction between treatment processes and disease progression by using hidden Markov model. Symmetry. ISSN 2073-8994 (In Press)
Reference: Xu, S., Li, W. , Tang, L. C. M., Lin, Y. and Tang, Q. (2018) Artificial Intelligence assisted professional work in BIM: a machine reasoning extension. In: Creative Construction Conference 2018, 30 June - 3 July 2018, Radisson Blu Plaza, Ljubljana, Slovenia, pp. 16-23. doi: https://doi.org/10.3311/CCC2018-003
Reference: Tian, B. and Li, W. (2018) Community detection method based on mixed-norm sparse subspace clustering. Neurocomputing, 275. pp. 2150-2161. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2017.10.060
Reference: Heim, I. , Kalyuzhnova, Y. , Li, W. and Liu, K. (2019) Value co‐creation between foreign firms and indigenous small‐ and medium‐sized enterprises (SMEs) in Kazakhstan's oil and gas industry: the role of information technology spillovers. Thunderbird International Business Review, 61 (6). pp. 911-927. ISSN 1520-6874 doi: https://doi.org/10.1002/tie.22067
Reference: Belitski, M. , Fernandez, V., Khalil, S., Li, W. (V.) and Liu, K. (2018) Exploring the cloud computing loop in the strategic alignment model. In: Liu, K. , Nakata, K. , Li, W. (V.) and Baranauskas, C. (eds.) Digitalisation, Innovation, and Transformation. Springer, pp. 117-124. ISBN 9783319945415 doi: https://doi.org/10.1007/978-3-319-94541-5_12
Reference: Liu, S. and Li, W. (V.) (2018) A framework to evaluate semiotic interoperability for information sharing. In: Liu, K. , Nakata, K. , Li, W. (V.) and Baranauskas, C. (eds.) Digitalisation, Innovation, and Transformation. Springer, pp. 83-93. ISBN 9783319945415 doi: https://doi.org/10.1007/978-3-319-94541-5_9
Reference: Wang, J., Zhang, R., Li, L., Shang, X., Li, W. and Xu, Y. (2018) Some q-Rung orthopair fuzzy dual Maclaurin symmetric mean operators with their application to multiple criteria decision making. In: Knowledge and Systems Sciences 19th International Symposium, November 25-27 2018, Tokyo, Japan, pp. 252-266. doi: https://doi.org/10.1007/978-981-13-3149-7_19
Reference: Li, W. , Liu, K. , Tang, Y. and Belitski, M. (2017) E-leadership for SMEs in the digital age. In: Ellermann, H., Kreutter, P. and Messner, W. (eds.) The Palgrave Handbook of Managing Continuous Business Transformation. Palgrave Macmillan, pp. 375-416. ISBN 9781137602275
Reference: Diego, F., Liu, K. and Li, W. (V.) (2016) Organisational responsiveness through signs. In: 17th International Conference on Informatics and Semiotics in Organisations Socially Aware Organisations and Technologies: Impact and Challenges, 1-3 August 2016, Campinas, Brazil.
Reference: Li, W. (V.) and Yang, G. (2016) Best practice of "Internet+" hospital: seamless medical services across whole process. China Digital Medicine, 2016 (5). pp. 31-33. ISSN 1673-7571 doi: https://doi.org/10.3969/j.issn.1673-7571.2016.05.009
Reference: Xu, S., Liu, K. , Tang, L. C.M. T. and Li, W. (2016) A framework for integrating syntax, semantics and pragmatics for computer-aided professional practice: With application of costing in construction industry. Computers in Industry, 83. pp. 28-45. ISSN 0166-3615 doi: https://doi.org/10.1016/j.compind.2016.08.004
Reference: Li, W. , Liu, K. , Belitski, M. , Ghobadian, A. and O'Regan, N. (2016) e-Leadership through strategic alignment: an empirical study of small- and medium-sized enterprises in the digital age. Journal of Information Technology, 31 (2). pp. 185-206. ISSN 0268-3962 doi: https://doi.org/10.1057/jit.2016.10
Reference: Chen, J. and Li, W. (2015) The relationship between flexible human resource management and enterprise innovation performance: a study from organizational learning capability perspective. In: 16th International Conference on Informatics and Semiotics in Organisations, 19-20 March 2015, Toulouse, France, pp. 204-214.
Reference: Belitski, M. , Li, W. (V.) and Liu, K. (2015) E-leadership in organisations: facilitating IT-business alignment for innovation and high-growth. In: The 23rd European Conference on Information Systems (ECIS 2015), May 26th 2015, Münster, Germany.
Reference: Liu, K. and Li, W. (2015) Organisational semiotics for business informatics. Routledge. ISBN 9780415823555
Reference: Li, W. , Liu, K. and Lui, S. (2015) Semiotics in interoperation for information systems working collaboratively. In: Fred, A., Dietz, J. L. G., Liu, K. and Filipe, J. (eds.) Knowledge Discovery, Knowledge Engineering and Knowledge Management. Communications in Computer and Information Science (454). Springer, Berlin, pp. 370-386. ISBN 9783662465493 doi: https://doi.org/10.1007/978-3-662-46549-3_24
Reference: Liu, S., Li, W. (V.) and Liu, K. (2015) Assessing pragmatic interoperability for process alignment in collaborative working environment. In: 16th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, ICISO 2015, March 19–20, 2015, Toulouse, France,, pp. 60-69.
Reference: Huang, L., Huang, G., Zhang, Y. and Li, W. (2014) A component data-focused method to build the executable model for a DoDAF compliant architecture. In: 15th International Conference on Informatics and Semiotics in Organisations, 23 - 24 May 2014, Shanghai, China.
Reference: Li, W. (2014) Clinical pathway enhanced by knowledge management: a critical step towards medical quality improvement. In: Michell, V. , Rosenorn-Lanng, D. J., Gulliver, S. R. and Currie, W. (eds.) Handbook of Research on Patient Safety and Quality Care through Health Informatics. IGI Global, pp. 138-157. ISBN 9781466645462 doi: https://doi.org/10.4018/978-1-4666-4546-2.ch008
Reference: Yang, H., Pu, W. and Li, W. (V.) (2014) Top architecture design of hospital information systems. People's Military Doctor Press.
Reference: Fuentealba, D., Liu, K. and Li, V. (2014) An approach to develop flexible systems with organizational-interoperability requirements. In: 6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 21 - 24 October 2014, Rome, Italy.
Reference: Xu, S., Liu, K. and Li, V. (2014) Knowledge-based design cost estimation through extending industry foundation classes. In: Proceedings of the 16th International Conference on Enterprise Information Systems, ICEIS2014, 27 - 30 April 2014, Lisbon, Portugal, pp. 161-168.
Reference: Liu, S., Li, V. and Liu, K. (2014) Pragmatic oriented data interoperability for smart healthcare information systems. In: The 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 26 - 29 May 2014, Chicago, USA.
Reference: Liu, S., Li, V. and Liu, K. (2014) Assessing pragmatic interoperability of information systems from a semiotic perspective. In: 15th International Conference on Informatics and Semiotics in Organisations, 23 - 25 May 2014, Shanghai, China, pp. 32-41.
Reference: Li, W. , Liu, K. , Yang, H. and Yu, C. (2014) Integrated clinical pathway management for medical quality improvement-based on a semiotically inspired systems architecture. European journal of Information Systems, 23 (4). pp. 400-417. ISSN 1476-9344 doi: https://doi.org/10.1057/ejis.2013.9
Reference: Liu, K. , Li, W. (V.) and Gulliver, S. (2013) Web of things, people and information systems (ICISO 2013). SCITEPRESS Science and Technology Publication. ISBN 9789898565518 (Proceedings of the 14th International conference in Informatics and semiotics in organisations)
Reference: Liu, S., Li, V. , Liu, K. and Han, J. (2013) Evaluation frameworks for information systems integration: from a semiotic lens. In: The 3rd International Conference on Logistics, Informatics and Service Science, 21 - 24 August 2013, Reading, UK, pp. 559-568.
Reference: Li, V. , Liu, K. and Liu, S. (2013) Semiotic interoperability- a critical step towards systems integration. In: International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge, Management and Information Sharing, 19 - 22 September 2013, Vilamoura, Algarve, Portugal, pp. 508-513.
Reference: Liu, S., Liu, K. and Li, W. (2013) A multi-agent system for pervasive healthcare. In: 14th International Conference on Informatics and Semiotics in Organisation (ICISO), 25 -27 Mar 2013, Stockholm, Sweden, pp. 97-105.
Reference: Yang, H., Li, W. , Liu, K. and Zhang, J. (2012) Knowledge-based clinical pathway for medical quality improvement. Information Systems Frontiers, 14 (1). pp. 105-117. ISSN 1572-9419 doi: https://doi.org/10.1007/s10796-011-9307-z
Reference: Yang, H., Li, S., Zhao, J. and Li, W. (V.) (2010) Clinical pathway modelling based on organizational semiotics and agent technology. Computer Simulation, 5 (2). pp. 266-273.
Reference: Li, W. (V.) , Liu, K. , Li, S. and Yang, H. (2010) A semiotic multi-agent modeling approach for clinical pathway management. Journal of Computers, 5 (2). pp. 266-273. ISSN 1796-203X
Reference: Yang, H., Liu, K. and Li, W. (V.) (2010) Adaptive requirement-driven architecture for integrated healthcare systems. Journal of Computers, 5 (2). pp. 186-193. ISSN 1796-203X
Reference: Yang, H., Li, S., Zhao, J. and Li, W. (V.) (2009) Study of semantic and norm analysis for adaptive clinical pathway modelling. Journal of Computer Engineering and Application, 45 (6). pp. 229-231.
Reference: Li, W. (V.) , Liu, K. , Li, S. and Yang, H. (2009) An agent based approach for customized clinical pathway. In: IFITA’09. International Forum on Information Technology and Applications.
Reference: Yang, H., Li, S.-z., Zhao, J.-p. and Li, W.-z. (2009) Study of clinical pathway based on organizational semiotics methods. Computer Engineering and Design, 13. pp. 3189-3192. ISSN 1000-7024
Reference: Li, W. (V.) , Liu, K. , Li, S. and Yang, H. (2009) Norm based agent for generating personalized process. In: 11th ICISO (IFIP WG8.1 Working Conference): Information systems in the changing era: theory & practice, 11-12 Apr 2009, Beijing, China, pp. 86-93.
Reference: Li, S., Yang, H., Zhao, J. and Li, V. (2009) A semiotic approach of multi-agent simulation for policy evaluation. In: 16th International Conference on Industrial Engineering and Engineering Management, 21-23 Oct 2009, Beijing, China, pp. 1679-1683. doi: https://doi.org/10.1109/ICIEEM.2009.5344330
Reference: Yang, H., Liu, X., Fei, W. and Li, W. (2009) Multi-agent based modeling and simulation of complex system in hospital. In: 16th International Conference on Industrial Engineering and Engineering Management, 21-23 Oct 2009, Beijing, China.
Reference: Yang, H. and Li, W. (2009) An ontology-based approach for data integration in regionally interoperable healthcare systems. In: 11th International Conference on Informatics and Semiotics in Organisations (ICISO 2009), 11-12 Apr 2009, Beijing, China, pp. 93-96.
Reference: Yang, H. and Li, W. (2009) Modeling requirement driven architecture of adaptive healthcare system based on semiotics. In: International Forum on Information Technology and Applications (IFITA '09), 15-17 May 2009, Chengdu, China, pp. 723-728.
Reference: Li, W. , Gao, H., Yan, Z. and Liu, K. (2009) Dynamic agility of inter-organizational processes. In: IEEE Symposium on Advanced Management of Information for Globalized Enterprises, 28-29 Sep 2008, Tianjin, China, pp. 51-55.
Reference: Li, V. , Liu, K. , Li, S. and Yang, H. (2008) Normative modeling for personalized clinical pathway using organizational semiotics methods. In: 2008 International Symposium on Computer Science and Computational Technology, 20-22 December 2008, Shanghai.

Academic lead and PI in the following grants, award and projects

1. The Health Foundation (Advancing Applied Analytics). Developing a patient event-based analytical framework to track and identify variation in clinical processes and patient outcome, £75k, August 2020 – August 202, 1936247.

2. Economic and Social Research Council (ESRC) award in applications and implications of Artificial Intelligence (AI). “Application and implication of machine learning: understanding and predicting healthcare resource usage and patient risk for improved population engagement”. £120k. 2019-2023.

3. Excellence in Impact Award, “Integrated Healthcare Information system for medical and care quality improvement”, O2RB (the University of Oxford, the Open University, Reading and Oxford Brookes) funded by Economic and Social Research Council Impact Acceleration Account, April 2018

4. Research Engagement and Impact Award, University of Reading. Predicting NHS outpatient attendance to reduce "Did-Not-Attend (DNA)" in Royal Berkshire NHS Foundation Trust, May 2020

5. Research contract. Royal Berkshire NHS Foundation Trust: “Predictive deep learning for clinical and operational intelligence”, £90k, 2017-2020.

6. Industry research contract. “Deep Learning from Electronic Patient Record and Knowledge Base for Predictive Clinical Support” £87k, 2017-2020.

7. Collaborative Innovation Fund (RBFT&UoR). Phenotyping patients living with Type 1 diabetes with detailed blood glucose variability and electronic patient record in the context of the continuous glucose monitoring system. The aim of this project is to provide insights of patient cohorts for personalised treatment. £8000, June 2019- Jan 2020

8. Collaborative Innovation Fund (RBFT&UoR). Early diagnosis of inflammatory arthritis using machine learning analysing GP referral letters, blood test and clinic letters to improve pre-hospital referral triage. £9,100, Jan 2020- August 2020

9. Collaborative Innovation Fund (RBFT&UoR). Can digital records determine disease phenotypes of diabetes kidney disease in the chronic and acute setting to influence service development to prevent admissions? £12,500, Jan 2020- June 2020

10. Collaborative Innovation Fund (RBFT&UoR). Predicting radiotherapy toxicity through electronic patient-reported outcomes (ePROMs) and electronic patient records (EPR) for personalised radiotherapy. £10,306, August 2020- July 2021