At Edgbaston Stadium, Birmingham
Wednesday 16th November – Day 1 of the NHS-R Community Conference!
The NHS-R Community Conference 2022 was a hybrid conference with the opportunity to join in person at Edgbaston Stadium, Birmingham or to join online via Zoom.
Please see the Itinerary for the day and details of the speakers are below.
View Day 1 of the Conference via the NHS-R YouTube channel here
Presentations are vailalble on the NHS-R Conference GitHub: https://github.com/nhs-r-community/conference-2022
Time | Speaker | Description |
---|---|---|
09:15 | Mohammed A Mohammed | Welcome |
09:30 | Charles Tallack | Building Analytical Capability |
09:45 | Peter Spilsbury | The Strategy Unit and NHS-R |
10:00 | Jessica Morley | Better, Broader, Safer: Using Health Data for Research and Analysis |
10:20 | Heather Turner | Good Coding Practices for Data Analysts |
10:40 | Iain Dillingham | Code Reuse in a Trusted Research Environment: Reusable Actions in OpenSAFELY |
10:55 | Jonny Pearson | Sharing code in the open |
11:10 | BREAK | |
11:30 | Steven Wyatt | Activity and capacity modelling for the New Hospital Programme |
11:45 | Dr Richard Wood | Simple and scalable modelling of elective waiting lists using R |
12:00 | Christopher Reading-Skilton | Pythia - RTT Acute Trust Waiting List Modelling using Simmer |
12:15 | Zehra Önen-Dumlu | A simulation tool for determining intermediate care capacity requirements along the complex discharge pathway |
12:30 | Simon Wellesley-Miller | Identifying waiting list health inequalities and predicting emergency admissions |
12:45 | Edmund Haacke | Investigating the drivers of ED crowding, and identifying 'avoidable' ED attendances |
13:00 | Robin Marlow | Automating Emergency Department Clinical Governance using R |
13:15 | LUNCH | |
14:15 | Chris Beeley | Shiny Endominer |
14:30 | Calum Polwart | Analysis of Systemic Anti-cancer Treatment Data using R |
14:45 | Vivek Verma | Application of R and real-world data to customise cancer therapy |
15:00 | Jason Pott | Automating observational trial data abstraction in the Emergency Department - working smaRter not harder |
15:15 | Richard Wilson | Reproducible Report Production using R markdown: an example using SHMI |
15:30 | BREAK | |
15:50 | Victor Yu | A Local Analysis of the NCMP in Hertfordshire |
15:58 | Anne Alarilla | Using R to explore the ambulance crisis |
16:06 | Paul Carroll | Structured Topic Modelling in R |
16:14 | Martina Fonseca | Use of Discrete Event Simulation (RSimmer) as decision-aid in tackling ambulance response time breaches and handover delays |
16:22 | Cara Thompson | Variations on a ggplot theme: how to apply a unifying aesthetic to all your plots |
16:30 | Chris Beeley and Mary Amanuel | Why Python |
16:45 | CLOSE |