Predicting Daily Surgical Volumes Using Probabilistic Estimates of Providers’ Future Availability-Reference-Cited by-同舟云学术

Predicting Daily Surgical Volumes Using Probabilistic Estimates of Providers’ Future Availability

Published:2020-08-07 Issue: Volume: Page:
ISSN:0011-7315
Container-title:Decision Sciences
language:en
Short-container-title:Decision Sciences

Author:

Eun Joonyup¹,Tiwari Vikram²³^ORCID,Sandberg Warren S.⁴

Affiliation:

1. Graduate School of Management of TechnologyKorea University Seoul 02841 South Korea

2. Departments of Anesthesiology, Biomedical Informatics, and Biostatistics, School of MedicineVanderbilt University Medical Center Nashville TN 37212 USA

3. Owen Graduate School of ManagementVanderbilt University Nashville TN 37212 USA

4. Departments of Anesthesiology, Surgery, and Biomedical Informatics, School of MedicineVanderbilt University Medical Center Nashville TN 37212 USA

Publisher

Wiley

Subject

Management of Technology and Innovation,Information Systems and Management,Strategy and Management,General Business, Management and Accounting

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/deci.12478

Reference28 articles.

1. Prediction of Emergency Department Visits for Respiratory Symptoms Using an Artificial Neural Network

2. Forecasting the number of outpatient visits using a new fuzzy time series based on weighted-transitional matrix

3. Forecasting Surgical Groups’ Total Hours of Elective Cases for Allocation of Block Time

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