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Michael I Oppenheim

Showing results (1-10 of 10) with videos related to

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AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 31, 2010
ClinRefLink: implementation of infobutton-like functionality in a commercial clinical information system incorporating concepts from textual documentsMichael I Oppenheim, Debra Rand, Catherine Barone, et al.
Journal of Biomedical Informatics|October 14, 2003
A framework for analyzing the cognitive complexity of computer-assisted clinical orderingJan Horsky, David R Kaufman, Michael I Oppenheim, et al.
American Journal of Epidemiology|May 16, 2023
Use of Community SARS-CoV-2 Case Counts and Instantaneous Reproductive Number to Predict Short-Term COVID-19 Hospital Admission VolumesMichael I Oppenheim, Juan Rada, Abraham Saraya, et al.
Journal of the American College of Radiology : JACR|January 4, 2020
Higher Imaging Yield When Clinical Decision Support Is UsedSafiya Richardson, Stuart Cohen, Sundas Khan, et al.
Journal of General Internal Medicine|January 20, 2021
Examination of Post-discharge Follow-up Appointment Status and 30-Day ReadmissionKevin Coppa, Eun Ji Kim, Michael I Oppenheim, et al.
Journal of the American Medical Informatics Association : JAMIA|October 26, 2020
An approach to predicting patient experience through machine learning and social network analysisVitej Bari, Jamie S Hirsch, Joseph Narvaez, et al.
Journal of General Internal Medicine|February 9, 2023
Application of a Machine Learning Algorithm to Develop and Validate a Prediction Model for Ambulatory Non-ArrivalsKevin Coppa, Eun Ji Kim, Michael I Oppenheim, et al.
Proceedings. AMIA Symposium|December 5, 2002
Impact of a computerized alert during physician order entry on medication dosing in patients with renal impairmentMichael I Oppenheim, Cristina Vidal, Ferdinand T Velasco, et al.
JAMIA Open|July 5, 2021
Design, development, and deployment of an indication- and kidney function-based decision support tool to optimize treatment and reduce medication dosing errorsJamie S Hirsch, Rajdeep Brar, Christopher Forrer, et al.
NPJ Digital Medicine|December 10, 2020
Let Sleeping Patients Lie, avoiding unnecessary overnight vitals monitoring using a clinically based deep-learning modelViktor Tóth, Marsha Meytlis, Douglas P Barnaby, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 31, 2010
ClinRefLink: implementation of infobutton-like functionality in a commercial clinical information system incorporating concepts from textual documentsMichael I Oppenheim, Debra Rand, Catherine Barone, et al.
Journal of Biomedical Informatics|October 14, 2003
A framework for analyzing the cognitive complexity of computer-assisted clinical orderingJan Horsky, David R Kaufman, Michael I Oppenheim, et al.
American Journal of Epidemiology|May 16, 2023
Use of Community SARS-CoV-2 Case Counts and Instantaneous Reproductive Number to Predict Short-Term COVID-19 Hospital Admission VolumesMichael I Oppenheim, Juan Rada, Abraham Saraya, et al.
Journal of the American College of Radiology : JACR|January 4, 2020
Higher Imaging Yield When Clinical Decision Support Is UsedSafiya Richardson, Stuart Cohen, Sundas Khan, et al.
Journal of General Internal Medicine|January 20, 2021
Examination of Post-discharge Follow-up Appointment Status and 30-Day ReadmissionKevin Coppa, Eun Ji Kim, Michael I Oppenheim, et al.
Journal of the American Medical Informatics Association : JAMIA|October 26, 2020
An approach to predicting patient experience through machine learning and social network analysisVitej Bari, Jamie S Hirsch, Joseph Narvaez, et al.
Journal of General Internal Medicine|February 9, 2023
Application of a Machine Learning Algorithm to Develop and Validate a Prediction Model for Ambulatory Non-ArrivalsKevin Coppa, Eun Ji Kim, Michael I Oppenheim, et al.
Proceedings. AMIA Symposium|December 5, 2002
Impact of a computerized alert during physician order entry on medication dosing in patients with renal impairmentMichael I Oppenheim, Cristina Vidal, Ferdinand T Velasco, et al.
JAMIA Open|July 5, 2021
Design, development, and deployment of an indication- and kidney function-based decision support tool to optimize treatment and reduce medication dosing errorsJamie S Hirsch, Rajdeep Brar, Christopher Forrer, et al.
NPJ Digital Medicine|December 10, 2020
Let Sleeping Patients Lie, avoiding unnecessary overnight vitals monitoring using a clinically based deep-learning modelViktor Tóth, Marsha Meytlis, Douglas P Barnaby, et al.
Pageof 1