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Author Details
Full Name
Emma M Behnken
Affiliation
Knowledge and Evaluation Research Unit, Mayo Clinic
ORCID
Career Start Year
2017
Papers
20
H Index
9
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
37913853
Realtime Diagnosis from Electrocardiogram Artificial Intelligence-Guided Screening for Atrial Fibrillation with Long Follow-Up (REGAL): Rationale and design of a pragmatic, decentralized, randomized controlled trial.
Am Heart J
2024
36322269
Investigating gender-based differential item functioning on the Kansas City Cardiomyopathy Questionnaire (KCCQ) using qualitative content analysis.
Qual Life Res
2023
37567353
Physicians' perspectives on percutaneous left atrial appendage occlusion for patients with atrial fibrillation.
Am Heart J
2023
37359420
Financial Toxicity in the Clinical Encounter: A Paired Survey of Patient and Clinician Perceptions.
Mayo Clin Proc Innov Qual Outcomes
2023
36179758
Artificial intelligence-guided screening for atrial fibrillation using electrocardiogram during sinus rhythm: a prospective non-randomised interventional trial.
Lancet
2022
35710450
Effect of hospital-at-home vs. traditional brick-and-mortar hospital care in acutely ill adults: study protocol for a pragmatic randomized controlled trial.
Trials
2022
35450906
Diabetes Rescue, Engagement and Management (D-REM): rationale and design of a pragmatic clinical trial of a community paramedicine programme to improve diabetes care.
BMJ Open
2022
32995875
Determinants of Self-reported Health Outcomes in Adrenal Insufficiency: A Multisite Survey Study.
J Clin Endocrinol Metab
2021
33883035
Increasing risk-concordant cardiovascular care in diverse health systems: a mixed methods pragmatic stepped wedge cluster randomized implementation trial of shared decision making (SDM4IP).
Implement Sci Commun
2021
34962932
Do patients with high versus low treatment and illness burden have different needs? A mixed-methods study of patients living on dialysis.
PLoS One
2021
33958795
Artificial intelligence-enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial.
Nat Med
2021
34033803
Batch enrollment for an artificial intelligence-guided intervention to lower neurologic events in patients with undiagnosed atrial fibrillation: rationale and design of a digital clinical trial.
Am Heart J
2021
33997635
Patient Work and Treatment Burden in Type 2 Diabetes: A Mixed-Methods Study.
Mayo Clin Proc Innov Qual Outcomes
2021
33407451
Minimally disruptive medicine (MDM) in clinical practice: a qualitative case study of the human immunodeficiency virus (HIV) clinic care model.
BMC Health Serv Res
2021
31710842
ECG AI-Guided Screening for Low Ejection Fraction (EAGLE): Rationale and design of a pragmatic cluster randomized trial.
Am Heart J
2020
31481553
Changing conversations in primary care for patients living with chronic conditions: pilot and feasibility study of the ICAN Discussion Aid.
BMJ Open
2019
31867424
Clinical trial design data for electrocardiogram artificial intelligence-guided screening for low ejection fraction (EAGLE).
Data Brief
2019
31414553
Reflecting on shared decision making: A reflection-quantification study.
Health Expect
2019
30285746
Patient capacity for self-care in the medical record of patients with chronic conditions: a mixed-methods retrospective study.
BMC Fam Pract
2018
27993947
Shared decision-making following disclosure of coronary heart disease genetic risk: results from a randomized clinical trial.
J Investig Med
2017
1 - 20 of 20
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Collaborators
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Department of Cardiovascular Medicine Mayo Clinic Rochester MN.
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Peter A Noseworthy
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Konstantinos C Siontis
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Jonathan Graff-Radford
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Mayo Clinic College of Medicine and Science
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Jennifer L Ridgeway
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Co-authored papers
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Mayo Clinic
Co-authored papers
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Kevin P Weinfurt
Center for Health Measurement, Duke University
Co-authored papers
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Iftikhar J Kullo
Mayo Clinic
Co-authored papers
1
Elizabeth B Habermann
Department of Health Services Research, Mayo Clinic
Co-authored papers
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Khader Shameer
School of Public Health, Imperial College London
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1
Patricia A Pellikka
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