Outline Programme
For more programme details click here.
Course Overview
|
Day 1: Electronic health records (EHRs) and data linkage (Wed 18th-July) |
0900-0930 |
Welcome, introductions and overview |
0930-1030 |
Epidemiology using EHR and linked data |
1100-1300 |
What’s in (and what’s not in) an EHR, and how to prepare data for analysis |
1400-1520 |
Analysing EHR data: traditional and novel approaches part 1 * |
1540-1700 |
Analysing EHR data: traditional and novel approaches part 2 |
|
Day 2: Patient-generated data: smartphones (Thu 19th-July) |
0830-0930 |
Epidemiology using digital patient-generated data |
0930-1115 |
Public involvement and designing systems for collecting patient-generated data |
1145-1300 |
Preparation of temporally-rich patient-generated data * |
1400-1530 |
Analytic methods: making use of longitudinal patient-generated data |
1545-1700 |
Key note lecture (Dr David Buckeridge, McGill University, Montreal, Canada) The population health monitoring trinity: epidemiological methods, informatics, and big digital data |
|
Day 3: Patient-generated data: sensors and social media (Fri 20th-July) |
0830-0930 |
Epidemiology using sensor and IoT data |
0930-1015 |
How to collect data passively |
1040-1200 |
Preparing and processing sensor data * |
1200-1300 |
Using sensor data in epidemiological research |
1400-1445 |
Designing research projects that incorporate sensor and IoT data |
1515-1700 |
Social media data from patients * |
* practical session