Abstract
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Authors: Chloe Li, Timothy Wen, Mia Charifson, Sara Sauer, Naleef Fareed, Yee Chieh Chew, Isabel Fulcher
Conference: American Public Health Association Annual Meeting 2025
Key Findings: Obstetric care providers showed high interest (90%) in using a predictive hypertensive disorders of pregnancy (HDP) dashboard to guide prenatal management and patient education, despite none currently using predictive models in practice. While 80% of providers correctly interpreted the model's HDP risk levels, 75% emphasized the need for additional patient-level context to aid decision-making. To ensure seamless clinical usability, 60% of participants stressed that the prediction outputs must be directly integrated into existing electronic health record systems.
Abstract
Authors: Chloe Li, Timothy Wen, Mia Charifson, Sara Sauer, Naleef Fareed, Yee Chieh Chew, Isabel Fulcher
Conference: American Public Health Association Annual Meeting 2025
Key Findings: Obstetric care providers showed high interest (90%) in using a predictive hypertensive disorders of pregnancy (HDP) dashboard to guide prenatal management and patient education, despite none currently using predictive models in practice. While 80% of providers correctly interpreted the model's HDP risk levels, 75% emphasized the need for additional patient-level context to aid decision-making. To ensure seamless clinical usability, 60% of participants stressed that the prediction outputs must be directly integrated into existing electronic health record systems.
Abstract
Authors: Chloe Li, Timothy Wen, Mia Charifson, Sara Sauer, Naleef Fareed, Yee Chieh Chew, Isabel Fulcher
Conference: American Public Health Association Annual Meeting 2025
Key Findings: Obstetric care providers showed high interest (90%) in using a predictive hypertensive disorders of pregnancy (HDP) dashboard to guide prenatal management and patient education, despite none currently using predictive models in practice. While 80% of providers correctly interpreted the model's HDP risk levels, 75% emphasized the need for additional patient-level context to aid decision-making. To ensure seamless clinical usability, 60% of participants stressed that the prediction outputs must be directly integrated into existing electronic health record systems.
Abstract
Authors: Chloe Li, Timothy Wen, Mia Charifson, Sara Sauer, Naleef Fareed, Yee Chieh Chew, Isabel Fulcher
Conference: American Public Health Association Annual Meeting 2025
Key Findings: Obstetric care providers showed high interest (90%) in using a predictive hypertensive disorders of pregnancy (HDP) dashboard to guide prenatal management and patient education, despite none currently using predictive models in practice. While 80% of providers correctly interpreted the model's HDP risk levels, 75% emphasized the need for additional patient-level context to aid decision-making. To ensure seamless clinical usability, 60% of participants stressed that the prediction outputs must be directly integrated into existing electronic health record systems.
Abstract
Authors: Chloe Li, Timothy Wen, Mia Charifson, Sara Sauer, Naleef Fareed, Yee Chieh Chew, Isabel Fulcher
Conference: American Public Health Association Annual Meeting 2025
Key Findings: Obstetric care providers showed high interest (90%) in using a predictive hypertensive disorders of pregnancy (HDP) dashboard to guide prenatal management and patient education, despite none currently using predictive models in practice. While 80% of providers correctly interpreted the model's HDP risk levels, 75% emphasized the need for additional patient-level context to aid decision-making. To ensure seamless clinical usability, 60% of participants stressed that the prediction outputs must be directly integrated into existing electronic health record systems.
Abstract
Authors: Chloe Li, Timothy Wen, Mia Charifson, Sara Sauer, Naleef Fareed, Yee Chieh Chew, Isabel Fulcher
Conference: American Public Health Association Annual Meeting 2025
Key Findings: Obstetric care providers showed high interest (90%) in using a predictive hypertensive disorders of pregnancy (HDP) dashboard to guide prenatal management and patient education, despite none currently using predictive models in practice. While 80% of providers correctly interpreted the model's HDP risk levels, 75% emphasized the need for additional patient-level context to aid decision-making. To ensure seamless clinical usability, 60% of participants stressed that the prediction outputs must be directly integrated into existing electronic health record systems.
Abstract
