Seminar 2 took place on the 21st of June 2023 at 10am till 12pm (GMT +1), focusing on the role of data in workforce planning.
In health workforce planning, we look to understand the understanding of the distance between current size, shape and composition of the workforce, as well as what is required to recruit, develop, sustain, motivate and retain a skilled and fit-for-purpose workforce able to deliver future services.
For effective planning, sufficiently robust data and evidence are necessary. These data emerge through constant thinking from those involved in workforce planning around what is required to make effective decisions.
Our interactive seminar on the use of data in health and health workforce planning draws together subject matter experts and practitioners to discuss how they have addressed generation, analysis, and use of evidence in their work. Our presenters and panel covered a range of questions such as:
- What is the journey from data, information and intelligence within different contexts?
- What needs to be done in the case of data sparse environments? What are the differences in the systemic data collection in different countries?
- How is accurate planning data used to make the case for investment in the health workforce?What is the relationship between decision making and the type and granularity of data available (both qualitative and quantitative)?
- How and by whom are workforce planning decisions made… and how are these entwined with resourcing and political will?
Agenda
Co-Chair – Ed Kendall – Director of Analytical Insights, NHS England
Co-Chair and Keynote speaker – Dr Amani Siyam – Technical Officer, Health Statistics and Information Systems, World Health Organization.
Dr Erin Fraher – Associate Professor at Department of Family Medicine, University of North Carolina at Chapel Hill
Prof Gareth Rees – Professor Ordinario, ESAN University, Peru
Yvonne Opanga – Research Specialist, Amref, Kenya.
Prof Alison Leary – Professor of Healthcare and Workforce Modelling, London South Bank University.
