Using Behavioral Economics and Implementation Science to Advance the Use of Genomic Medicine Utilizing an EHR Infrastructure Across a Diverse Health System
The University of Pennsylvania's clinical trial aims to innovate the implementation of genomic medicine by utilizing behavioral economics and advanced EHR systems. This approach targets a growing market for genetic testing, particularly as indications expand and the clinical utility of genetic results becomes increasingly recognized. The trial's focus on non-geneticist clinician and patient nudges positions it uniquely within the competitive landscape, potentially leading to improved patient outcomes and increased adoption of genetic testing across diverse health systems. The findings could influence reimbursement strategies and policy-making in genomic medicine, presenting opportunities for partnerships with EHR vendors and genetic testing laboratories.
Indication: Genetic Predisposition
Modality: behavioral intervention
Target: Behavioral nudges to enhance genetic testing utilization via EHR infrastructure.
Sponsor: University of Pennsylvania
Source URL: ClinicalTrials.gov
Source updated: Detailed source ingestion pending
Ingested: Jul 07, 2026
Model: trialsignal-ai-v1
Validation: validated
Matched by target_normalized: Behavioral nudges to enhance genetic testing utilization via EHR infrastructure.
View original source fields
Condition raw: Genetic Predisposition, Paraganglioma, Pheochromocytoma, ALS, Parkinson Disease, Polyneuropathies, Frontotemporal Dementia, Alzheimer Disease, Cardiomyopathy Non-ischemic, Thoracic Aortic Aneurysm
Condition normalized: Genetic Predisposition, Paraganglioma, Pheochromocytoma, ALS, Parkinson Disease, Polyneuropathies, Frontotemporal Dementia, Alzheimer Disease, Cardiomyopathy Non-ischemic, Thoracic Aortic Aneurysm
Modality raw: behavioral intervention
Modality normalized: behavioral intervention
Target raw: Behavioral nudges to enhance genetic testing utilization via EHR infrastructure.
Target normalized: Behavioral nudges to enhance genetic testing utilization via EHR infrastructure.