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Cerner Corporation
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2026-07
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Optum Inc
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2026-07
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Imara Inc
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Allscripts
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Cegedim Strategic Data Medical Research Ltd
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Journal: European Heart Journal. Digital Health
Article Title: Dynamic risk stratification of worsening heart failure using a deep learning-enabled implanted ambulatory single-lead electrocardiogram
doi: 10.1093/ehjdh/ztae035
Figure Lengend Snippet: Dataset creation for the ambulatory electrocardiogram-convolutional neural network model development. Schematic indicates the strategy to obtain robust and reliable dataset for model development. To avoid cross-contamination, no patient data are repeated among training, validation, and testing datasets. *Patient count ( n = 5829) selected based on several inclusion, exclusion criteria to ensure the quality of LVEF data as they are obtained from Optum ® EHR and the dataset was captured in Optum ® EHR via natural language processing of procedure/diagnostic notes and prone to natural language processing errors.
Article Snippet: To ensure robust and reliable LVEF information and minimize errors introduced through automated data extraction from
Techniques: Biomarker Discovery, Diagnostic Assay
Journal: Translational Behavioral Medicine
Article Title: Care-paradigm shift promoting smoking cessation treatment among cancer center patients via a low-burden strategy, Electronic Health Record-Enabled Evidence-Based Smoking Cessation Treatment
doi: 10.1093/tbm/ibz107
Figure Lengend Snippet: Conventional tobacco-use treatment specialist referral versus point-of-care treatment models. The conventional model relies on successful referrals by the clinical care team to a tobacco-use treatment specialist. Electronic health record (EHR) functionality enables the point-of-care model to efficiently deliver treatment.
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Techniques:
Journal: Translational Behavioral Medicine
Article Title: Care-paradigm shift promoting smoking cessation treatment among cancer center patients via a low-burden strategy, Electronic Health Record-Enabled Evidence-Based Smoking Cessation Treatment
doi: 10.1093/tbm/ibz107
Figure Lengend Snippet: ELEVATE patient care workflow: A point-of-care treatment model for smoking cessation via the “5 A’s.” ELEVATE facilitates “5 A’s” patient care by harnessing Epic’s Best Practice Advisory (BPA) functionality to prompt and integrate intervention actions by clinical care providers (e.g., nurses or medical assistants) and prescribing clinicians within the electronic health record (EHR).
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Techniques:
Journal: Translational Behavioral Medicine
Article Title: Care-paradigm shift promoting smoking cessation treatment among cancer center patients via a low-burden strategy, Electronic Health Record-Enabled Evidence-Based Smoking Cessation Treatment
doi: 10.1093/tbm/ibz107
Figure Lengend Snippet: Measure definitions of tobacco intervention rates, pre- and post-ELEVATE
Article Snippet:
Techniques: Medications
Journal: Translational Behavioral Medicine
Article Title: Care-paradigm shift promoting smoking cessation treatment among cancer center patients via a low-burden strategy, Electronic Health Record-Enabled Evidence-Based Smoking Cessation Treatment
doi: 10.1093/tbm/ibz107
Figure Lengend Snippet: Pre- and post-ELEVATE comparisons of tobacco use assessment and treatment among Siteman Cancer Center outpatients. ELEVATE is associated with significantly increased tobacco use assessment and documented treatment
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Techniques:
Journal: Translational Behavioral Medicine
Article Title: Care-paradigm shift promoting smoking cessation treatment among cancer center patients via a low-burden strategy, Electronic Health Record-Enabled Evidence-Based Smoking Cessation Treatment
doi: 10.1093/tbm/ibz107
Figure Lengend Snippet: “5 A’s” implementation with ELEVATE. The patient flow diagram demonstrates the electronic health record (EHR)-facilitated implementation of the “5 A’s” tobacco intervention through the outpatient oncology clinic workflow alongside rates of completion for each of the “5 A’s.”
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