Development and Validation of a Machine Learning Model to Aid Discharge Processes for Inpatient Surgical Care-Reference-Cited by-同舟云学术

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Development and Validation of a Machine Learning Model to Aid Discharge Processes for Inpatient Surgical Care

Published:2019-12-11 Issue:12 Volume:2 Page:e1917221
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Safavi Kyan C.¹,Khaniyev Taghi²,Copenhaver Martin³,Seelen Mark³,Zenteno Langle Ana Cecilia³,Zanger Jonathan²,Daily Bethany³,Levi Retsef²,Dunn Peter³

Affiliation:

1. Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston

2. MIT Sloan School of Management, Massachusetts Institute of Technology, Cambridge

3. Department of Perioperative Services, Massachusetts General Hospital, Boston

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2757372/safavi_2019_oi_190651.pdf

Reference19 articles.

1. Working with capacity limitations: operations management in critical care.;Terwiesch;Crit Care,2011

2. The transition from excess capacity to strained capacity in US hospitals.;Bazzoli;Milbank Q,2006

3. Managing hospital inpatient bed capacity through partitioning care into focused wings.;Best;Manufacturer Services Oper Management,2015

4. Does US hospital capacity need to be expanded?;Bazzoli;Health Aff (Millwood),2003

5. Understanding and overcoming barriers to timely discharge from the pediatric units.;Mustafa;BMJ Qual Improv Rep,2016

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