A novel outreach approach for identification of familial hypercholesterolemia: Interview-based formative evaluation to improve healthcare access and quality

This publication has 24 references indexed in Scilit:

• Implementation of a machine learning model and direct-to-patient outreach program for targeted screening for familial hypercholesterolemia
  Journal of Clinical Lipidology, 2025
• Novel cardiovascular therapeutics and the risk of financial toxicity
  Nature Reviews Cardiology, 2024
• Financial burden, distress, and toxicity in cardiovascular disease
  American Heart Journal, 2021
• Precision screening for familial hypercholesterolaemia: a machine learning study applied to electronic health encounter data
  The Lancet Digital Health, 2019
• On the Prospects for a (Deep) Learning Health Care System
  JAMA, 2018
• SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process
  BMJ Quality & Safety, 2015
• Reducing the burden of disease and death from familial hypercholesterolemia: A call to action
  American Heart Journal, 2014
• Toward a science of learning systems: a research agenda for the high-functioning Learning Health System
  Journal of the American Medical Informatics Association, 2014
• Standards for Reporting Qualitative Research
  Academic Medicine, 2014
• Electronic Health Record-Based Patient Identification and Individualized Mailed Outreach for Primary Cardiovascular Disease Prevention: A Cluster Randomized Trial
  Journal of General Internal Medicine, 2012