NHS-R/NHS.pycom Conference: In-Person & Virtual Conference Talks [Wednesday 18th October 2023] (5:00:27)

We are very excited to share this recording of the NHS-R/NHS.pycom in-person and virtual conference talks from Wednesday 18th October 2023. https://nhsrcommunity.com/events/nhs-r-community-conference-2023-ticket-for-in-person-attendance-on-wednesday-18th-october-2023/

Chris Beeley, Welcome Speech

3:28 Marcos Fabietti, NHSRplotthedots Plotly Update

8:35 Alberto Liuzzo Scorpo (giving talk), Keiko Toma, Sam Akinloye, Laura Birks and Allison Jordan, Upskilling 80% of an NHSE performance analysis team in R and sharing reproducible code on Github

19:12 Simon Wellesley-Miller and Alex Porter, Challenges, lessons, failures and fun from setting the NHS England R-Revolution

30:25 Will Manners, Developing Inequalities Reporting in R

42:43 David Jephson and Marika, Reflections on developing a dashboard website in gov.uk style using Quarto

59:46 Parisa Gregg, Reproducible workflows in Python

1:24:06 Chris Roebuck, RAP

1:53:17 Claire Welsh, Talk Using a RAP approach to uplift existing processes within the National Disease Registration Service

2:05:56 Joseph Wilson, Releasing the Potential of the RAP Community of Practice with GitHub Actions

2:23:50 Dr. Charlie Pinder, QA of analytical projects in the health sector

2:23:36 Mary Amanuel and Dan Schofield, update on NHS.pycom Large Language Models (LLMs) Hackathon

2:41:12 Katie Thornton, Developing a reproducible, regular report exploring delayed discharges in Mental Health

2:54:36 Chaeyoon Kim, Enhancing Analytics: Move from Excel to Python

3:09:03 Amadeus Stevenson, How I learned to stop worrying and embrace pip, conda, virtualenv, venv and Visual Studio Code (How to install Python)

3:28:04 Dr. Bahman Rostami-Tabar, Probabilistic Forecast Reconciliation For Health Services

3:48:10 Roberto Villegas-Diaz, You love purrr, but have you tried speeding up things furrr-ther?

3:58:31 Matt Dray, Base slaps!

4:07:12 Sam Hollings, Flow Charts: an easy trick to better, more easily understood code and data pipelines

5:17:41 Iain Dillingham, Less neat, less tidy, and more unpredictable: Improving your code with property-based tests

4:27:41 Ross Kennedy, Splink: Data Linkage at Scale

4:47:48 Chris Beeley, Thank You and Closing Speech