Distinguishing Admissions Specifically for COVID-19 from Incidental SARS-CoV-2 Admissions: A National EHR Research Consortium Study.
All Authors:
Author Profiles:
Publish Date:
Journal:
Effective Communication of Personalized Risks and Patient Preferences During Surgical Informed Consent Using Data Visualization: Qualitative Semistructured Interview Study With Patients After Surgery.
All Authors:
Author Profiles:
Publish Date:
Journal:
,
Who doesn't fit? A multi-institutional study using machine learning to uncover the limits of opioid prescribing guidelines.
All Authors:
Author Profiles:
Publish Date:
Journal:
,
Distinguishing Admissions Specifically for COVID-19 From Incidental SARS-CoV-2 Admissions: National Retrospective Electronic Health Record Study.
All Authors:
Author Profiles:
Publish Date:
Journal:
,
Machine learning nonresponse adjustment of patient-reported opioid consumption data to enable consumption-informed postoperative opioid prescribing guidelines.
All Authors:
Author Profiles:
Publish Date:
Journal:
,
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality.
All Authors:
Author Profiles:
Publish Date:
Journal:
,
Research priorities for the surgical care of patients taking opioids preoperatively.
All Authors:
Author Profiles:
Publish Date:
Journal:
Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2.
All Authors:
Author Profiles:
Publish Date:
Journal:
,
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.
All Authors:
Author Profiles:
Publish Date:
Journal:
,
Association of Postsurgical Opioid Refills for Patients With Risk of Opioid Misuse and Chronic Opioid Use Among Family Members.
All Authors:
Author Profiles:
Publish Date:
Journal:
,