Kevin Bock
Hofstra University
8 Papers
13 Citations
Kevin Bock is an academic researcher from Hofstra University. The author has contributed to research in topics: Retrospective cohort study & Hazard ratio. The author has an hindex of 2, co-authored 8 publications.
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Papers
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.
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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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Early Experience With Neutralizing Monoclonal Antibody Therapy for COVID-19: Retrospective Cohort Survival Analysis and Descriptive Study.
Mark P. Jarrett,Warren Licht,Kevin Bock,Zenobia Brown,Jamie S. Hirsch,Kevin Coppa,Rajdeep Brar,Stephen Bello,Ira S. Nash +8 more
- 27 Sep 2021
TL;DR: In this article, the authors describe their experience and outcomes of almost 3000 patients who received monoclonal antibody infusion therapy at Northwell Health, a large integrated health care system in New York.
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Early Experience With Neutralizing Monoclonal Antibody Therapy For COVID-19
Mark P. Jarrett,Warren Licht,Kevin Bock,Zenobia Brown,Jamie S. Hirsch,Kevin Coppa,Rajdeep Brar,Steve Bello,Ira S. Nash +8 more
TL;DR: In this article, a multivariable Cox model with inverse probability weighting according to the propensity score including covariates (sociodemographic, comorbidities, and presenting vital signs) was used.
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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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