Outline Programme

For more programme details click here.

Course goal: To explore and understand the opportunities, challenges and methods for capturing and using digital data to support high-quality epidemiological research

Course Overview

Day 1: Electronic health records and data linkage
0900-0930

Welcome, introductions and course overview

  • + Show and tell: delegates’ experiences of EHR and linkage projects
 John McBeth, UoM
0930-1030

Analysing EHR data: entry point/ state of the art

  • Exposures and outcomes and confounders
 Ian Douglas, LSHTM
1030-1100 Drug preparation algorithm practical Mark Lunt, UoM

Coffee break
1130-1300

Analysing EHR data: text mining

  • Theory and practical
 Goran Nenadic + team, UoM

Lunch
1400-1445

Analysing EHR data: machine learning

  • Machine learning and EHRs
 John Rigg, IQVIA
1445-1530

More data from one region: data linkage

  • Experience from SAIL
 David Ford, Swansea

Coffee break
1600-1700

More data from more regions: federated analyses

  • Federated analyses and EHDEN
 Dani Prieto-Alhambra, UoOxford
Nigel Hughes, Janssen

Day 2: Patient-generated data: smartphones

0900-0930

Epidemiology using digital patient-generated data

  • Introduction
  • Show and tell: delegates’ experience of patient-generated data projects
 Will Dixon, UoM
0930-1030

Lessons learned from Manchester mobile health studies, including
Cloudy with a Chance of Pain

 Will Dixon & team
Coffee break
1100-1300 Public involvement and designing systems for collecting patient-generated data
  • Co-design, patient and public involvement
  • Test your public involvement design (P)
 Caroline Sanders, UoM
Patient partners
Lunch
1400-1530

Options for running an mHealth study

  • Working with an SME
  • Using ResearchKit
  • Using RedCap
  • Partnership with University groups
  • + Panel discussion

Ben James and Jonathan Moshinsky, uMotif
Valentin Hamy, GSK
Yama Farooq, University of Oxford
Adrian Harwood, UoM
Coffee break
1545-1630 Analysis of temporally-rich patient data Thomas House, UoM
1630-1715 Keynote: The Future of a Digital NHS Rachel Dunscombe, CEO NHS Digital Academy
Day 3: Patient-generated data: sensors and social media
0900-0930

Epidemiology using sensor data and digital traces

  • Introduction
  • Show and tell: delegates’ projects with sensor data
Sabine van der Veer, UoM
0930-1015

How to collect data passively

  • What’s available in wearable devices, and what might you get from them
 Justin Phillips, Google
Coffee break
1040-1120

Using accelerometers in epidemiological research

  • Evaluating physical activity in epidemiology studies
 Tessa Strain, University of Cambridge
1120-1145

Sensor data collected via active tasks

 Valentin Hamy, GSK
1145-1245

Using GPS in research studies

  • Opportunities, challenges and governance (P)
 Niels Peek, UoM

Lunch
1345-1445

Digital endpoints/ outcomes/ biomarkers

  • Validating and qualifying digital biomarkers for regulatory approvals

 Elin Haf Davies, Aparito

Coffee break
1515-1645

Digital interventions

  • Digital interventions: the story so far from Sleepio
  • Future directions for digital interventions

Alasdair Henry, Big Health
Rashmi Narayana, Medopad


* practical session