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Characterizing the Public Health and Health Care System
WebUnderstanding health care usage is critical to planning and improving our health care system. Likewise, measuring the inputs and outcome of the public health system is key to understanding how the system is functioning and where improvements are needed.
Actived: 9 days ago
URL: https://pophealthanalytics.com/project/publichealth_healthcaresystem/
Diabetes Burden and Prevention
WebDiabetes Canada estimates that, as of 2015, 3.4 million Canadians (9.3% of the population) have type 2 diabetes—a number they expect will increase by 2025, when a predicted 5 million Canadians (12.1% of the population) will suffer from the disease.. The pervasiveness of diabetes is amplified by its side effects, including: cardiovascular …
Artificial Intelligence and Population Health
WebDr. Laura Rosella also leads a range of training and capacity building in AI and data science. She is a Co-Director of the pan-Canadian CIHR Health Research Training Platform (HRTP) in Artificial Intelligence for Population Health (AI4PH) hosted at the DLSPH. This national interdisciplinary team brings together trainees, knowledge users, …
Population Health Analytics Laboratory Toronto, ON
WebRead here in BMC Health Services Research. Phenomenal presentation by @gemma_postill at @ihpmeuoft Research and Impact Day on using #AI to predict premature mortality among IBD patients. Here at Population Health Analytics, we use innovative, analytically-driven approaches to support meaningful and sustainable health …
AI for Population Health and Health Systems Implementation …
WebImplementation of Artificial Intelligence (AI) Applications to Improve Population Health and Health Systems . The Dalla Lana School of Public Health (DLSPH) and Temerty Centre for AI Research and Education in Medicine is proud to announce an implementation grant to support AI applications that will enhance population health and health systems. Funding …
Program Evaluation
WebThe Population Health Analytics Lab has led several program evaluation initiatives in collaboration with partners at the University Health Network (UHN). Integrated Care is a new model of care aimed at improving patient, caregiver and care provider experiences, with a focus on creating a well coordinated care for patients across the …
The Community Wellbeing Project
WebThe community wellbeing survey 2021-2022: A community-informed approach to characterizing community wellbeing in Ontario. Toronto, ON: Population Health Analytics Lab; 2023. We would also like to recognize the guidance and support of our collaborators: John Helliwell, Eric Kim, Tina Malti, Ruth Speidel, Diana Urajnik, Jennifer Walker, Ian
Education and Health
WebEducation is an important determinant of health. Educational outcomes are closely linked to socioeconomic status and health disparities. Specifically, educational attainment is a key determinant of both morbidity and mortality. Children and youth spend a large proportion of their time in a school, making this environment an important place for …
Cluster Research
WebDLSPH Data Science Interdisciplinary Research Cluster Funded Projects . In the fall of 2020 and 2021, we announced a Seed Funding Call for Proposals for DLSPH faculty to apply for seed funding to support novel data science research to advance population health and health systems. Following adjudication from an interdisciplinary review committee, nine …
Population Risk Tools
WebThe Chronic Disease Population Risk Tool (CDPoRT) and High Resource User Population Risk Tool (HRUPoRT) will allow health system decision-makers to apply existing population health data to identify strategies that can minimize the impact of the chronic disease burden and high health care use. The development of DPoRT marks an attempt at
Introduction to the Diabetes Population Risk Tool (DPoRT)
WebExamples of DPoRT in Action 5 •Public Health Units integrated DPoRT into staff training and operational protocols, public reporting Practice on websites, and annual internal reporting •Medical Officers of Health used DPoRT to estimate impact of “The Big Move” on decreasing diabetes incidence through active transportation •DPoRT findings presented …
Data Science Interdisciplinary Research Cluster
WebDLSPH Data Science Interdisciplinary Research Cluster. The Dalla Lana School of Public Health (DLSPH) developed Interdisciplinary Research Clusters with a mandate to provide leadership for impactful research initiatives and educational opportunities for the School’s top five themes in the 2019-2024 Academic Plan.. Laura Rosella led the Data Science …
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