Data to Enable a Learning Health System Archives » Page 2 of 3 » Upstream Lab

Predicting hospital admissions for ambulatory care sensitive conditions using primary care EMR data | March 31, 2023

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Lessons Learned from the Collection of Sociodemographic Data During the COVID-19 Pandemic | March 31, 2023

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ARtificial intelligence to Enable Automated REspiratory illness Surveillance through Primary care (AREA-RESP) | October 7, 2022

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Canadian Adaptive Platform Trial of Treatments for COVID in Community Settings (CanTreatCOVID) Study | June 22, 2022

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Quadruple Aim: Public health and healthcare system collaboration to achieve the Quadruple Aim and build Learning Health Systems | March 10, 2022

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Harnessing EMR data and artificial intelligence methods to identify health inequities and support action on the social determinants of health in primary care | February 8, 2022

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Predicting hospital admissions for ambulatory care sensitive conditions using primary care electronic medical record data: a multi-jurisdictional feasibility and validation study (Machine learning to predict hospital admissions) | February 8, 2022

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Developing an optimal note generating machine learning model for primary care: a pilot validation study (Autoscribe) | February 4, 2022

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Using Primary Health Care EMR Data to Predict Outcomes: a Systematic Review | November 17, 2021

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Machine Learning and Bias in Population Health Models | November 17, 2021

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