To Predict or Not to Predict: The Case of the Emergency Department-Reference-Cited by-同舟云学术

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To Predict or Not to Predict: The Case of the Emergency Department

Published:2021-11 Issue: Volume: Page:
ISSN:1059-1478
Container-title:Production and Operations Management
language:en
Short-container-title:Production & Oper Manag

Author:

Somanchi Sriram¹^ORCID,Adjerid Idris²,Gross Ralph³

Affiliation:

1. Department of IT, Analytics, and Operations Mendoza College of Business University of Notre Dame Notre Dame Indiana 46556 USA

2. Business Information Technology Pamplin College of Business Virginia Tech 880 West Campus Drive Blacksburg Virginia 24061 USA

3. Blue Panda 2740 Smallman Street Suite 555 Pittsburgh Pennsylvania 15222 USA

Publisher

Wiley

Subject

Management of Technology and Innovation,Industrial and Manufacturing Engineering,Management Science and Operations Research

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/poms.13580

Reference61 articles.

1. Big healthcare data: preserving security and privacy

2. Adjerid I. M.Ayvaci Ö.Özer.2019.Saving lives with algorithm‐enabled process innovation for sepsis care. Available at SSRN 3456870.

3. Privacy-preserving data mining

4. Sensitivity of Optimal Capacity to Customer Impatience in an Unobservable M/M/S Queue (Why You Shouldn't Shout at the DMV)

5. The Impact of Health Information Exchanges on Emergency Department Length of Stay

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room;Journal of the American Medical Informatics Association;2024-05-21

2. Health analytics in business research: a literature review;Journal of Management Analytics;2023-05-24

3. Using Hospital Admission Predictions at Triage for Improving Patient Length of Stay in Emergency Departments;Operations Research;2022-11-29

4. Nurse practitioners' involvement and experience with AI-based health technologies: A systematic review;Applied Nursing Research;2022-08

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