June 2024 Webinar: How to turn your hospital’s EHR data into predictions of emergency demand for beds

  • Wednesday 19 June 2024, 12:00 pm – 1:00 pm (UK time)

with Zella King, Health Data Scientist, University College London

About the webinar:

In this first of two webinars, I will provide detail on how to do this modelling including what our users (bed managers) wanted and how we catered to their needs
• what data you need to do this modelling in your hospital
• what data structures are suitable for prediction of short-term demand and how to transform EHR data into these structures
• a high-level introduction to the modelling steps applied to the data
• how we made our demand predictions aspirational (to reflect ED 4 hour targets)
• how we evaluated model performance

This webinar is intended for
• any analyst or data scientist who works with EHR data (it does not matter which EHR your hospital has), or is interested in doing so
• students of health data science and/or operational research
• anyone with interest in using the predictions from such models to support patient flow, including operational managers and academics

A companion webinar will show how this modelling is done in Python, including an introduction to the Python package we are developing for modelling patient flow.


Please register via the Sign up link in the right panel.
You will receive a confirmation email, further workshop information including the Zoom link to join the workshop will be sent out to you nearer the date.
For further information, please contact: nhs.rcommunity@nhs.net

Event Speakers

Zella King

Health Data Scientist in the Clinical Operational Research Unit at University College London

Zella King is a Health Data Scientist in the Clinical Operational Research Unit at University College London. She applies data analytics, machine learning, programming and organisational psychology as tools for better decision making in healthcare operations. Working at the interface between universities and the NHS, she collaborates with researchers, clinicians, and NHS leaders to address practical challenges in the delivery of healthcare. She is currently working as an embedded researcher at University College London Hospital (UCLH), helping tackle some of the hospital’s operational problems using operational research and data science, and doing capacity-building for NHS analysts.

With others, she developed a real-time application that is in daily use by the patient flow team at UCLH to predict demand for emergency beds, and is lead author on a paper about this work that has been published in Nature Digital Medicine. This application has been shortlisted for a HSJ Digital Award in Improving Urgent and Emergency Care.

Zella gained her PhD in Organisational Psychology from Birkbeck College. Her academic career began with 15 years in business schools. Her work on human resources, careers and networks has been published in top business journals. In 2016, concerned about healthcare in ageing societies, she changed fields to focus on health data research. She gained a distinction in UCL's MSc in Health Data Science and was recognised in the Dean’s List for outstanding students in 2020-21.

Event Type


Event Date

June 19, 2024

Event Time

1:00 pm - 2:00 pm

Event Venue


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