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Learning for, with, and from patients: Patient involvement in knowledge mobilisation in a Learning Health System

5th Floor Bermondsey Wing, Guy's Hospital, SE1 9RT, Seminar Room
13/02/2018 (16:30-17:30)

Health Psychology Section

Open Seminar Series 2017-18

Learning for, with, and from patients: Patient involvement in knowledge mobilisation in a Learning Health System.

Dr Sarah Knowles, NIHR Knowledge Mobilisation Research Fellow, Greater Manchester CLAHRC, University of Manchester

Chaired by Dr Joanna Hudson


A Learning Healthcare System (LHS), which uses routinely collected data to enable rapid, potentially real time knowledge mobilisation, is being developed across the North of England through the Connected Health Cities programme. The LHS aims to use electronic health data to better integrate services and identify and deliver service improvements. In this talk, I will argue that as well as building appropriate digital infrastructure, an effective and sustainable LHS requires three things:

  1. Input from implementation science: LHSs are “sociotechnical” systems, requiring stakeholder engagement to embed a culture of continuous improvement, and implementation science concepts will be vital to supporting the design and development of such systems in practice.
  2. Insights from qualitative research: the “Big Data” of digital health must be complemented by Thick Data – from interviews, observation and co-design, to extract the knowledge from the data and ensure learning outputs are both actionable and credible.
  3. Involvement of patients: LHSs must be transparent, trustworthy and participatory to be effective. Patient involvement is crucial to achieving these aims, with attention needed to how, when and who will be involved. 

I will describe planned studies to meet these aims, conducted as part of a NIHR Knowledge Mobilisation Research Fellowship. I will present preliminary findings regarding the application of implementation science frameworks to operationalising LHSs, and the opportunities and challenges for directly involving patients in the system as both the creators of data and the actors delivering improvements.


Booking is not necessary. However, due to limited seating, we recommend you arrive on time in order to secure your place.

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