Michael I. Oppenheim
Hofstra University
10 Papers
20 Citations
Michael I. Oppenheim is an academic researcher from Hofstra University. The author has contributed to research in topics: Medicine & Retrospective cohort study. The author has an hindex of 4, co-authored 10 publications.
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Papers
Hospital-Acquired Bloodstream Infections in Patients Hospitalized With Severe Acute Respiratory Syndrome Coronavirus 2 Infection (Coronavirus Disease 2019): Association With Immunosuppressive Therapies
Akshay Khatri,Prashant Malhotra,Stephanie Izard,Angela Kim,Michael I. Oppenheim,Pranisha Gautam-Goyal,Thomas Chen,Thien-Ly Doan,Ilan Berlinrut,Negin Niknam,Sarah Flannery,David Hirschwerk,Marcia Epstein,Bruce Farber +13 more
TL;DR: In this article, the authors evaluated the association of immunosuppressive therapies with bloodstream-infections (BSIs) in hospitalized COVID-19 patients and found that combination corticosteroids/tocilizumab were significantly associated with any BSI occurrence.
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Examination of Post-discharge Follow-up Appointment Status and 30-Day Readmission.
Kevin Coppa,Eun Ji Kim,Eun Ji Kim,Michael I. Oppenheim,Kevin Bock,Joseph Conigliaro,Joseph Conigliaro,Jamie S. Hirsch,Jamie S. Hirsch +8 more
TL;DR: In this article, the authors examined the association between post-discharge ambulatory follow-up status, (1) having a scheduled appointment and (2) arriving to said appointment, and 30-day readmission.
21
Higher Imaging Yield When Clinical Decision Support Is Used.
Safiya Richardson,Stuart L. Cohen,Sundas Khan,Meng Zhang,Guang Qiu,Michael I. Oppenheim,Thomas McGinn +6 more
TL;DR: Diagnostic yield was 38% higher for CTPAs when the provider used the CDS tool, after controlling for selection bias, and yields were higher for every provider type.
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An approach to predicting patient experience through machine learning and social network analysis
Vitej Bari,Jamie S. Hirsch,Jamie S. Hirsch,Joseph Narvaez,Robert Sardinia,Kevin Bock,Michael I. Oppenheim,Marsha Meytlis +7 more
TL;DR: A machine learning model was developed to predict a patient's response to the Hospital Consumer Assessment of Healthcare Providers and Systems survey’s “Doctor Communications” domain questions while simultaneously identifying most impactful providers in a network.
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Design, development, and deployment of an indication- and kidney function-based decision support tool to optimize treatment and reduce medication dosing errors.
Jamie S. Hirsch,Jamie S. Hirsch,Rajdeep Brar,Christopher Forrer,Christine Sung,Richard Roycroft,Pradeep Seelamneni,Hemala Dabir,Ambareen Naseer,Pranisha Gautam-Goyal,Kevin Bock,Michael I. Oppenheim +11 more
- 01 Apr 2021
TL;DR: The Adult Dosing Methodology (ADM) module as discussed by the authors is a CDS tool that provides indication-and kidney-based dosing at the time of order entry, with the goal of optimizing therapy duration for appropriate antimicrobial stewardship.
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