A Robust Predictive Resource Planning under Demand Uncertainty to Improve Waiting Times in Outpatient Clinics-Reference-Cited by-同舟云学术

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A Robust Predictive Resource Planning under Demand Uncertainty to Improve Waiting Times in Outpatient Clinics

Published:2017-10-09 Issue:4 Volume:19 Page:563-583
ISSN:0972-0634
Container-title:Journal of Health Management
language:en
Short-container-title:Journal of Health Management

Author:

Munavalli Jyoti R.¹,Rao Shyam Vasudeva²,Srinivasan Aravind³,Manjunath Usha⁴,van Merode G. G.⁵

Affiliation:

1. Research Associate, Maastricht University Medical Centre, Maastricht, The Netherlands

2. Cofounder, President and CTO, Forus Health, Bangalore, Technical Director, Maastricht University Medical Centre, Maastricht, The Netherlands

3. Administrator, Aravind Eye Care, Madurai, Tamil Nadu, India

4. Professor, Institute of Health Management Research, Bangalore, Karnataka, India

5. Professor of Logistics and Operations Management in Health Care, Maastricht University Medical Centre, Maastricht, The Netherlands

Publisher

SAGE Publications

Subject

Health Policy

Link

http://journals.sagepub.com/doi/pdf/10.1177/0972063417727627

Reference39 articles.

1. Takt-time: conceitos e contextualização dentro do Sistema Toyota de Produção

2. Beyond Strategy

3. Aravind: Partner and Social Science Innovator (Innovations Case Discussion: Aravind Eye Care System)

4. OUTPATIENT SCHEDULING IN HEALTH CARE: A REVIEW OF LITERATURE

5. Lean techniques for the improvement of patients' flow in emergency department

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1. How to adjust the expected waiting time to improve patient’s satisfaction?;BMC Health Services Research;2023-05-08

2. Introduction to Brain–Computer Interface;Brain‐Computer Interface;2023-02-10

3. Managing Outpatient Cycle Times in Hospitals Using Integrated Closed-Loop Approaches;Health Services Insights;2023-01

4. Influence of Takt Time Planning on Construction Efficiency;IOP Conference Series: Materials Science and Engineering;2022-09-01

5. Creating Coherence-Based Nurse Planning in the Perinatology Care System;Healthcare;2022-05-17

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