Miss Elizabeth Williams
Research Associate
- WilliamsEM20@cardiff.ac.uk
- Abacws, Room 1.41, Senghennydd Road, Cathays, Cardiff, CF24 4AG
Overview
Research Group
Professional Memberships
- Candidate Associate of the Operational Research Society (CandORS)
- Associate Member of the Institute of Mathematics and its Applications (AMIMA)
Education
- MMath Mathematics (Distinction), University of South Wales (2019)
Publication
2023
- Williams, E. 2023. Linking predictive and prescriptive analytics for modelling healthcare services for frail and elderly patients. PhD Thesis, Cardiff University.
2022
- Williams, E., Gartner, D. and Harper, P. 2022. Linking predictive and prescriptive analytics of elderly and frail patient hospital services. Presented at: 10th IEEE International Conference on Healthcare Informatics (ICHI 2022), Rochester, MN, United States, 11-14 June 20222022 IEEE 10th International Conference on Healthcare Informatics (ICHI). pp. 1-1., (10.1109/ICHI54592.2022.00071)
- Gartner, D., Williams, E. and Harper, P. 2022. Prescriptive healthcare analytics: a tutorial on discrete optimization and simulation. Presented at: 10th IEEE International Conference on Healthcare Informatics (ICHI 2022), Rochester, MN, United States, 11-14 June 2022.
2021
- Williams, E., Gartner, D. and Harper, P. 2021. A survey of OR/MS models on care planning for frail and elderly patients. Operations Research for Health Care 31, article number: 100325. (10.1016/j.orhc.2021.100325)
2020
- Williams, E., Szakmany, T., Spernaes, I., Muthuswamy, B. and Holborn, P. 2020. Discrete-event simulation modeling of critical care flow: new hospital, old challenges. Critical Care Explorations 2(9), article number: e0174. (10.1097/CCE.0000000000000174)
- Williams, E., Spearnes, I., Muthuswamy, B., Holborn, P. and Szakmany, T. 2020. 114: Mathematical modeling of critical care flow: how can we best cope with increasing demand?. Critical Care Medicine 48(1), pp. 40. (10.1097/01.ccm.0000618816.50090.25)
Articles
- Williams, E., Gartner, D. and Harper, P. 2021. A survey of OR/MS models on care planning for frail and elderly patients. Operations Research for Health Care 31, article number: 100325. (10.1016/j.orhc.2021.100325)
- Williams, E., Szakmany, T., Spernaes, I., Muthuswamy, B. and Holborn, P. 2020. Discrete-event simulation modeling of critical care flow: new hospital, old challenges. Critical Care Explorations 2(9), article number: e0174. (10.1097/CCE.0000000000000174)
- Williams, E., Spearnes, I., Muthuswamy, B., Holborn, P. and Szakmany, T. 2020. 114: Mathematical modeling of critical care flow: how can we best cope with increasing demand?. Critical Care Medicine 48(1), pp. 40. (10.1097/01.ccm.0000618816.50090.25)
Conferences
- Williams, E., Gartner, D. and Harper, P. 2022. Linking predictive and prescriptive analytics of elderly and frail patient hospital services. Presented at: 10th IEEE International Conference on Healthcare Informatics (ICHI 2022), Rochester, MN, United States, 11-14 June 20222022 IEEE 10th International Conference on Healthcare Informatics (ICHI). pp. 1-1., (10.1109/ICHI54592.2022.00071)
- Gartner, D., Williams, E. and Harper, P. 2022. Prescriptive healthcare analytics: a tutorial on discrete optimization and simulation. Presented at: 10th IEEE International Conference on Healthcare Informatics (ICHI 2022), Rochester, MN, United States, 11-14 June 2022.
Thesis
- Williams, E. 2023. Linking predictive and prescriptive analytics for modelling healthcare services for frail and elderly patients. PhD Thesis, Cardiff University.
- Williams, E., Gartner, D. and Harper, P. 2021. A survey of OR/MS models on care planning for frail and elderly patients. Operations Research for Health Care 31, article number: 100325. (10.1016/j.orhc.2021.100325)
- Williams, E., Szakmany, T., Spernaes, I., Muthuswamy, B. and Holborn, P. 2020. Discrete-event simulation modeling of critical care flow: new hospital, old challenges. Critical Care Explorations 2(9), article number: e0174. (10.1097/CCE.0000000000000174)
Research
Operational Research applied to healthcare systems