B6: Data-informed approaches to addressing future health needs


Thursday 11 April 2024 | 13:15–14:30


Format: Presentation


Stream: Populations


Content filters: n/a


PART 1: Meeting future health needs through social determinants of health informed capital planning 


London Health Sciences Centre (LHSC) in London, Canada recently completed its Master Plan outlining future capacity needs. Capital planning in Ontario occurs amidst increasingly constrained resources where there is funder expectation that increased service demands driven by population growth and aging can be reduced through community based and integrated models. The population in London has grown 13% in 6 years and will grow another 20% in 20 years. LHSC’s populations are higher risk than the Ontario average with 40% of its population at a higher Social Determinant of Health (SDH) risk compared to 26% provincially. The presentation will outline how LHSC has described SDH risk informed forecasting in capital planning.


As a result of this session, participants will be able to:



  • Understand the importance of a population and Social Determinant of Health (SDH) informed approach to forecasting volumes within capital planning

  • Assess the impact of this data-informed approach on a health system’s ability to address future health care needs

  • consider how SDH risk informed methodologies are essential to ensuring equity deserving populations are meaningfully acknowledged with respect to future hospital capacity and infrastructure planning


Andrea McInerney London Health Science Centre, Canada (virtual)


 


PART 2: Proactive healthcare-facility planning to meet patients’ needs 


The Israel Ministry of Health will describe how to utilise national-large data sets to establish a novel process of proactive healthcare facility planning. This program is a  collaboration between units of research, regulation, legislation, computer science and strategy, and strives to promote equity in healthcare. This unique collaboration enables us to combine large-scale data sets, from different sources, while making use of advanced computing software technology to establish Geographic Information System (GIS) maps that foster a data-driven decision as to where to locate the future healthcare facilities.


As a result of this session, participants will be able to:



  • Plan the expansion and placement of health facilities by first creating demographic maps which predict future health care needs

  • Understand how to establish proactive healthcare facility planning that addresses the needs of the population while computing large data sets that include: facility location and utilisation rate, patient and population location, disease prevalence and incidence


Ayelet Grinbaum Arizon Israeli Ministry of Health, Israel


Hanni Schroeder Israeli Ministry of Health, Israel