Explore the opportunities, challenges and methods for capturing and using a range of digital health data types to support high-quality population health research.
Date & Time: 12-14 October 2022, 09:30 – 17:30 (in-person)
Venue: Hyatt Regency Manchester, 55 Booth St West, Manchester M15 6PQ
The Centre for Epidemiology Versus Arthritis is hosting the 4th Manchester Digital Epidemiology School. The event is an exciting three day course where participants will learn all about how to capture and use digital health data to support high-quality epidemiological research.
The programme 2022
The programme covers opportunities, challenges and methods across a variety of data types: from electronic health records to data collected through smartphones and wearable devices. An internationally renowned and multidisciplinary faculty from the University of Manchester, plus several external faculty members, will deliver a series of in person interactive workshops.
Day 1: Electronic health records (EHRs) for health research
Hosted by: Prof Will Dixon, Dr Meghna Jani
Introduction to electronic health record (EHR) data in health research
Prof Tjeerd van Staa (The University of Manchester)
Workshop 1: Preparing drug exposure data
Dr Meghna Jani, Prof Goran Nenadic, Belay Yimer (The University of Manchester)
Workshop 2: New concepts in prediction modelling
Dr Jamie Sergeant, Dr Glen Martin (The University of Manchester)
Workshop 3: Trial emulation
Dr Christopher Rentsch, Dr Kevin Wing (The London School of Hygiene & Tropical Medicine)
Workshop 4: Group-based Trajectory Modelling
Dr Sam Norton & team (King’s College London)
Guest Keynote Talk: Transforming healthcare with artificial intelligence – lessons from ophthalmology
Dr Pearse Keane (UCL Institute of Ophthalmology)
Networking opportunity for all delegates
Day 2: Smartphones for health research
Hosted by: Prof Will Dixon, Dr Katie Druce
Introduction to patient-generated health data using smartphones
Prof Will Dixon (The University of Manchester)
Workshop 1: Designing a mobile health study
Prof Will Dixon, Dr Katie Druce (The University of Manchester)
Workshop 2: Co-designing a digital health solution
Dr Pauline Whelan, Matt Machin, Simon Foster, Charlie Stockton-Powdrell (Digital Health Software at The University of Manchester)
Workshop 3: Setting the study up on a platform
Dr Amos Folarin (King’s College London)
Workshop 4: Analysing daily symptoms data
Dr David Selby (DFKI German Research Centre for Artificial Intelligence)
Guest Keynote Talk: Using mobile app technology to assess population health
Dr Claire Steves (King’s College London)
Networking opportunity for all delegates
Day 3: Wearables for health research
Hosted by: Prof John Mcbeth, Dr Alexander Oldroyd
Introduction to patient-generated sensor data
Prof John McBeth (The University of Manchester)
Workshop 1: Micro-randomised trials using sensor data
Prof John McBeth, Ting-Chen (Chloe) Hsu (The University of Manchester)
Workshop 2: Sensor-Based Remote Gait Analysis
Dr Alexander Oldroyd (The University of Manchester)
Workshop 3: Application of wearable technology in digital healthcare
Dr Ríona McArdle, Dr Rana Rehman (Newcastle University)
Workshop 4: Longitudinal studies of health in smart home environments
Dr Ryan McConville (University of Bristol)
Guest Keynote Talk: Where next with wearables: Future directions in wearable devices, and lessons learned from analysing the 100,000 wearable accelerometer records from the UK Biobank
Dr Alex Casson (The University of Manchester)
Networking opportunity for all delegates
Who is this course for?
The Manchester Digital Epidemiology School is for national and international clinicians with an interest in epidemiology and/or data science, allied health professionals, researchers and epidemiologists, working in the area of musculoskeletal disease. Delegates from academic, industry and other backgrounds are welcome.
How much will it cost?
£150 per day.
The daily fee includes registration, lunch and course materials.
Testimonials from our previous courses
- “A wealth of information into a new and exciting area of epidemiology”
- “A well worthwhile event over 3 days”
- “Interactive, practical and highly engaging”
- “Excellent primer for those interested in understanding mobile health applications and their use for research – highly relevant during the COVID-19 pandemic!”
- “An easy and efficient way to keep up to date with digital epidemiology”
- “Nice forum to connect with researchers with similar interests – learning from others’ experiences helps advance the field by not reinventing the wheel or ignored lessons learned from prior failures”
Deadline for booking (extended): Sunday, 9 October 2023
Please note that spaces are limited and will be granted on a first-come, first-served basis.
Confirmed speakers
Dr David Selby
German Research Centre for Artificial Intelligence
FAQ
We have prepared some useful recourses to help you find your way to the conference and around Manchester. If you have any questions or issues, please contact the Center Manager, Denise Faulkner.
Travel and accommodation
Travel and accommodation is not included in any of the conference rates, however, CfE have collated a list of hotels in Manchester that are within a close proximity to the conference. We have listed below different options. Please note, the below list are suggestions based on location rather than recommended hotels. Each hotel has its own rate and terms and conditions. Delegates are responsible for booking directly with the hotels, not with CfE.
Hyatt Regency Manchester – 4-star hotel
Address: 55 Booth St W, Manchester M15 6PQ
ibis Manchester Centre Princess Street Hotel – 2-star hotel
Address: Charles St, Princess St, Manchester M1 7DG
Premier Inn Manchester City Centre (Portland Street) hotel – 3-star hotel
Address: 112-114 Portland Street, Manchester,M1 4WB
Premier Inn Manchester City Centre (Princess Street) hotel – 3-star hotel
Address: 2 Brook Street, Manchester, M1 7BJ
Kimpton Clocktower Hotel – 4-star hotel
Address: Oxford St, Manchester M60 7HA
Innside Hotel – 4-star hotel
Address: 1 First Street, M15 4RP
Premier Inn Manchester Central hotel – 3-star hotel
Address: Bishopsgate, 7-11 Lower Mosley Street, Manchester M2 3DW
Holiday Inn Manchester – City Centre – 2-star hotel
Address: 25 Aytoun Street, Manchester, M1 3DT
Motel One – 3-star hotel
Address: 1 Dickinson St, Manchester M1 4LF
The Midland Hotel – 4-star hotel
Address: 16 Peter St, Manchester M60 2DS
Premier Inn Manchester City (Piccadilly) hotel – 3-star hotel
Address: 72 Dale Street, Manchester,M1 2HR
Staycity Aparthotels – Manchester Piccadilly – 4-star hotel
Address: 8B Gateway House, Piccadilly Station Approach, M1 2GH
DoubleTree by Hilton Hotel Manchester Piccadilly – 4-star hotel
Address: One, 1 Piccadilly, Auburn St, Manchester M1 3DG
Hilton Manchester Deansgate – 4-star hotel
Address: 303 Deansgate, M3 4LQ
Getting to Manchester
Getting to Manchester is easy. You can fly, or travel by train/bus/car. All the details you need can be found here. And don’t forget, the earlier you book your travel and accommodation, the cheaper it will often be.
Explore Manchester
Explore, discover and find the version of Manchester that best speaks to you. Manchester is a vibrant it with many exciting activities to offer. Visit Manchester Insider’s Handbook has loads of ideas for things to see and do.
About the Centre for Epidemiology Versus Arthritis
Previous programmes
This is the fourth edition of the Manchester Digital Epidemiology School. View PDFs programmes of previous editions:
Contact us
Get in touch if you have any questions.
Email: cfe@manchester.ac.uk
Centre for Epidemiology Versus Arthritis
Second floor, Stopford Building
The University of Manchester
Oxford Road
Manchester
M13 9PT
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