Výsledky vyhledávání - "Oppenheim MI"

Akademický článek

Application of a Machine Learning Algorithm to Develop and Validate a Prediction Model for Ambulatory Non-Arrivals.

Autor: Coppa K; Clinical Digital Solutions, Northwell Health, New Hyde Park, NY, USA., Kim EJ; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA., Oppenheim MI; Clinical Digital Solutions, Northwell Health, New Hyde Park, NY, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA., Bock KR; Clinical Digital Solutions, Northwell Health, New Hyde Park, NY, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA., Zanos TP; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.; Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA., Hirsch JS; Clinical Digital Solutions, Northwell Health, New Hyde Park, NY, USA. jhirsch8@northwell.edu.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA. jhirsch8@northwell.edu.; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA. jhirsch8@northwell.edu.; Division of Kidney Diseases and Hypertension, and Barbara Zucker School of Medicine at Hofstra/Northwell, 100 Community Drive, 2nd Floor, Great Neck, Donald, NY, 11021, USA. jhirsch8@northwell.edu.

Publikováno v: Journal of general internal medicine [J Gen Intern Med] 2023 Aug; Vol. 38 (10), pp. 2298-2307. Date of Electronic Publication: 2023 Feb 09.

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Akademický článek

Design, development, and deployment of an indication- and kidney function-based decision support tool to optimize treatment and reduce medication dosing errors.

Autor: Hirsch JS; Department of Information Services, Northwell Health, New Hyde Park, New York, USA.; Division of Kidney Diseases and Hypertension, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, New York, USA.; Center for Health Innovations and Outcomes Research, Institute of Health System Science, Feinstein Institutes for Medical Research, Manhasset, New York, USA., Brar R; Department of Information Services, Northwell Health, New Hyde Park, New York, USA., Forrer C; Department of Information Services, Northwell Health, New Hyde Park, New York, USA., Sung C; Department of Information Services, Northwell Health, New Hyde Park, New York, USA., Roycroft R; Department of Information Services, Northwell Health, New Hyde Park, New York, USA., Seelamneni P; Department of Information Services, Northwell Health, New Hyde Park, New York, USA., Dabir H; Department of Information Services, Northwell Health, New Hyde Park, New York, USA., Naseer A; Department of Information Services, Northwell Health, New Hyde Park, New York, USA., Gautam-Goyal P; Division of Infectious Diseases, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA., Bock KR; Department of Information Services, Northwell Health, New Hyde Park, New York, USA.; Department of Pediatrics, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, USA., Oppenheim MI; Department of Information Services, Northwell Health, New Hyde Park, New York, USA.; Division of Infectious Diseases, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA.

Publikováno v: JAMIA open [JAMIA Open] 2021 Jun 30; Vol. 4 (2), pp. ooab039. Date of Electronic Publication: 2021 Jun 30 (Print Publication: 2021).

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Akademický článek

Examination of Post-discharge Follow-up Appointment Status and 30-Day Readmission.

Autor: Coppa K; Department of Information Services, Northwell Health, Lake Success, NY, USA., Kim EJ; Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.; Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Manhasset, NY, USA., Oppenheim MI; Department of Information Services, Northwell Health, Lake Success, NY, USA.; Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA., Bock KR; Department of Information Services, Northwell Health, Lake Success, NY, USA.; Department of Pediatrics, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA., Conigliaro J; Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.; Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Manhasset, NY, USA., Hirsch JS; Department of Information Services, Northwell Health, Lake Success, NY, USA. jhirsch8@northwell.edu.; Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA. jhirsch8@northwell.edu.; Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Manhasset, NY, USA. jhirsch8@northwell.edu.

Publikováno v: Journal of general internal medicine [J Gen Intern Med] 2021 May; Vol. 36 (5), pp. 1214-1221. Date of Electronic Publication: 2021 Jan 19.

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Akademický článek

An approach to predicting patient experience through machine learning and social network analysis.

Autor: Bari V; Department of Information Services, Northwell Health, New Hyde Park, New York, USA., Hirsch JS; Department of Information Services, Northwell Health, New Hyde Park, New York, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hofstra University, Hempstead, New York, USA.; Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA., Narvaez J; Office of Patient and Customer Experience, Northwell Health, Lake Success, New York, USA., Sardinia R; Office of Patient and Customer Experience, Northwell Health, Lake Success, New York, USA., Bock KR; Department of Information Services, Northwell Health, New Hyde Park, New York, USA., Oppenheim MI; Department of Information Services, Northwell Health, New Hyde Park, New York, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hofstra University, Hempstead, New York, USA., Meytlis M; Department of Information Services, Northwell Health, New Hyde Park, New York, USA.

Publikováno v: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2020 Dec 09; Vol. 27 (12), pp. 1834-1843.

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Akademický článek

Let Sleeping Patients Lie, avoiding unnecessary overnight vitals monitoring using a clinically based deep-learning model.

Autor: Tóth V; Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA., Meytlis M; Department of Information Services, Northwell Health, New Hyde Park, NY, USA., Barnaby DP; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.; Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA., Bock KR; Department of Information Services, Northwell Health, New Hyde Park, NY, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA., Oppenheim MI; Department of Information Services, Northwell Health, New Hyde Park, NY, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA., Al-Abed Y; Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA., McGinn T; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.; Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA., Davidson KW; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.; Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA., Becker LB; Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA., Hirsch JS; Department of Information Services, Northwell Health, New Hyde Park, NY, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.; Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA., Zanos TP; Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA. tzanos@northwell.edu.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA. tzanos@northwell.edu.

Publikováno v: NPJ digital medicine [NPJ Digit Med] 2020 Nov 13; Vol. 3 (1), pp. 149. Date of Electronic Publication: 2020 Nov 13.

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