A repository of all of the materials shared throughout the RPYSOC conference 2025.
The presentations folder contains slide decks used for the Introduction, most presentations and the Closing of the conference. Please note this GitHub repository is under an open licence, but that this licence does not extend to other GitHub repositories or websites we may link to here.
| Title | Speaker | Links |
|---|---|---|
| Total Eclipse of the Excel Chart - A reflection on 12 years of teaching modelling and data science in the NHS | Dr Dan Chalk | Slides |
| Beautifully reproducible dataviz: lessons learnt from building data-to-viz pipelines | Cara Thompson | Slides |
| Using open data and open source code to create an open elective waiting lists modelling tool (RTT Planner) | Sebastian Fox | |
| opencodecounts: An R package and Shiny app exploring NHS clinical coding data | Milan Wiedemann | Slides |
| DES-igning Better Flow: Modelling Non-Elective Admissions | Helena Robinson | |
| Mapping Accessibility: Using R5py and GTFS Data to Optimise Women’s Health Hub Locations in the Sussex | Karrie Liu | |
| A Short Story of a Short Course - Natural Language Processing in R for Health and Social Care | Pawel Orzechowski and Brittany Blankinship |
| Title | Speaker | Links |
|---|---|---|
| Design a model for Community pharmacy workforce with open source data | Chaeyoon Kim | Slides |
| Word is better than Quarto? | Jacqueline Grout and Matt Dray | Slides |
| Deploying Python in production: containers, kubernetes and embracing yaml | Amadeus Stevenson | Slides |
| Modelling Community waiting lists with NHS-R waiting list library | Simon Wellesley-Miller | |
| Transforming Health Needs Assessments: Reproducible Insights for Smarter NHS Planning | Rachel Christie | |
| Using APIs in R to obtain Health indicators for interactive visualizations | Pablo Leon-Rodenas | Slides |
| The story of patientflow: from hospital prototype to Python package | Zella King | |
| Going for Gold: Adopting RAP-by-default to Create Analysts from Nowhere | Joe Wilson | |
| Zhuzhing custom error messages with {cli} | Fran Barton | Slides |
| Shattered pottery and cancer data: using R to rejoin the pieces | Joe Shaw |
| Title | Speaker | Links |
|---|---|---|
| Reusable by Default: Reflections on Building Sustainable Open Tools and Knowledge for Healthcare | Sammi Rosser | Slides |
| 3 years on NHS-RPy Unconference: open, self-organising exchange of ideas | Pawel Orzechowski and Brittany Blankinship | |
| Practical Testing for Reproducible Analytical Pipelines | Thomas Jemmett | Slides |
| How we delivered the OpenSAFELY platform to analyse the whole population’s GP records securely, transparently, with open code | Prof Ben Goldacre | |
| Patient-Level Analytics That Work: Using R to Achieve Rapid, Sustained MRSA Screening Compliance Improvements | Daniel Weiand | |
| Using simulation to evaluate a service: what to do when you’ve got no data, no clear questions, and no clue if it’s working: | Chris Mainey | Slides |
| Making national cancer audit reporting Shiny: a journey from Excel to web-based apps using R and Reproducible Analytical Pipelines. | Ella Barber |
| Title | Speaker | Links |
|---|---|---|
| Data Querying using Natural Language | Abhinav Jindal (Jin) | Slides |
| MetaInsight - an R shiny app for network meta-analysis | Simon Smart | |
| Better together: lessons from RAP drop-ins | YiWen Hon | Slides |
| Predicting Outpatient Non-Attendance | Peter Andrews | Slides |
| Learnings from implementing machine learning models on NHS Federated Data Platform for predicting operational pressures escalation levels. | Kenneth Quan | |
| Introduction to Causal Inference for R and Python users | Nathan Thomas | Slides |
| Publishing reproducible websites using R Quarto: Camden’s JSNA Hub | Annie Yu | |
| What Patients Ask: Harnessing Free-Text Data for Patient-Centred Care | Mimi Reyburn | |
| Building QA into everyday workflows with GitHub | Rhian Davies | Slides |