Advanced Analytics Group for Wales
This group will lead the development of advanced analytics capability across health and care in Wales. The overall purpose of this group is to enable, design and deliver the AAG work programme in the Improvement and Innovation Workstream to meet the objectives of the Digital Health and Care Strategy, at pace and scale.
Catalogue of Innovative Uses of Data
The group revised the latest version of the catalogue of innovative uses of data which is a catalogue of analytical projects that are ongoing.
Presentations & Engagement Plan Development
The group welcomed representatives from CAVUHB and HDdUHB to present their successful analytics bid to the Health Foundation. The group also discussed the next steps surrounding the engagement aspects of the work plan.
Outline Work Programme
During the third meeting the group revised the draft outline work programme constructed by NWIS and discussed the innovative uses of data catalogue. As a result of this meeting the NWIS team will go forward and draft a terms of reference.
National Data Resource
The group met again on 14th of June 2019 for an update on the National Data Resource and a discussion surrounding the proposed work programme for the group. Also, a representative from Velindre presented to the group on how advanced analytics can benefit service delivery.
The first meeting of the Advanced Analytics Group for Wales was held on the 13th of February 2019 and was attended by 25 of Wales’ leading data science professionals including representatives from NWIS, ONS and the 7 Welsh health boards.
Member List Created
Sally Lewis (National Clinical Lead for Value-Based and Prudent Healthcare at Aneurin Bevan University Health Board) was appointed as Chair and Paul Howells (Programme Lead for DHEW and NDR at NWIS) pulled an invite list together.
Advanced Analytics Group is Formed
Workstream 3 decided to create the Advanced Analytics Group to bring together data scientists across the health sector to coordinate, work better and highlight the importance of data science in healthcare.