WHO Global Learning Laboratory for Quality UHC
14th December 2022 webinar De Marie Charlotte Boesseau
The WHO Global Learning Laboratory (GLL) for Quality aims to understand how to improve quality of care,
The GLL is organized around three areas of focus
quality policy and strategy,
specific technical areas –
the role of compassion, acknowledging the human interactions that drive quality of care.
GLL learning mechanisms
Learning mechanisms employed by the GLL have focused on virtual, as well as in-person connectivity, to facilitate the sharing, documentation and spread of front-line experiences on quality.
The online knowledge platform allows for the co-development and exchange of information, as well as enabling access to published and de novo tools and resources on quality of care. Register to connect on the knowledge platform by emailing GLL4QUHC@who.int
also known as sub-communities, are groups that actively work to define and complete a task, project, initiative, or specific products.
Knowledge products describe concepts, theories, interventions and actions; and are developed based on in-country implementation to inform local change and action.
opportunities to gain in-depth knowledge on improvement activities that have been implemented in the country - an opportunity to reflect on their improvement journey and show lessons learnt on the road to improvement.
Global learning webinars
Learning laboratory events often comprised of a small group of people to allow for individuals to share detailed experiences, . The event brings people together to share, challenge, and spark innovation on improving quality of care.
HIFA profile: Richard Fitton is a retired family doctor - GP. Professional interests: Health literacy, patient partnership of trust and implementation of healthcare with professionals, family and public involvement in the prevention of modern lifestyle diseases, patients using access to professional records to overcome confidentiality barriers to care, patients as part of the policing of the use of their patient data Email address: richardpeterfitton7 AT gmail.com