NHS-R/NHS.pycom Conference: In-Person & Virtual Conference Talks [Tuesday 17th October 2023] (5:27:09)

We are very excited to share this recording of the NHS-R/NHS.pycom in-person and virtual conference talks from Tuesday 17th October 2023. https://nhsrcommunity.com/events/nhs-...

2:07 Brian Tarran, Forging community links: NHS-R, the Royal Statistical Society and Real World Data Science

30:47 Zoe Hancox Using Hypergraphs to model multimorbidity

42:53 Nick Howlett, Near real-time prediction of hospital performance metrics using scalable random forest algorithm

53:45 Jane Kirkpatrick and Michael Spence, Forecasting emergency department admissions for operational decision support in the NHS

1:04:41 Daniel Weiland, Predicting Antimicrobial Resistance Rates using R and Sharing the Results in the form of Parameterised Reports produced using Quarto

1:26:00 Ferran Espuny-Pujol, Survival hazard estimation using B-splines: R package development and learning sharing

1:36:47 Robin Lovelace, Data Science for Active Travel Planning: streets, schemes and networks

2:08:10 Martina Fonseca, Portable and interactive geographic mappings with Leaflet – supporting rapid stakeholder requests

2:13:32 Paul Carroll, Process Mining to Generate Healthcare Pathways

2:29:11 Chris Mainey, Building NHS Data Science Teams

2:49:36 Helen Young, Discrete Event Simulation as a right-sizing tool for daycase unit design

2:57:44 Andy Poole, Urgent Care Transformation – How to develop and evaluate what if scenario’s collaboratively and openly

3:16:41 Tom Jemmett, Conference check-in app (or, on why you should ignore your boss, play about, and have fun)

3:32:04 Pawel Orzechowski, Unconferencing

3:34:09 Pawel Orzechowski and Brittany Blankinship, Teaching Programming to Non-programmers

3:50:21 Chris Beeley 4:05:27 Steve Piper, Using R to automate the generation of performance matrixes from Fingertips 4:16:26 Richard Wilson, Generating outcome framework slide packs for ICS

4:27:16 YiWen Hon, Pxtextmining: Open coding, open working in qualitative patient feedback analysis

4:36:27 Nicola Farthing, R dashboard design for a varied customer base

4:46:26 Jacqueline Grout, Getting started with collaboration on GitHub: Crunching webinar attendance data with R and Shiny 4:58:03 Ozayr Mohammed, Evidence Mapping in Shiny

5:05:46 Neil Bray, Strategies to reduce cognitive load when coding

5:15:51 Humaira Hussein, Comparative efficacy of type 2 diabetes treatments in randomised controlled trials using network meta-analysis methods

5:26:49 Chris Beeley, Thank You and Short Closing Speech Not recorded: Toni Stansfield UKHSA, Linking hospitalisation and climate data to explore the health impacts of heat waves