Estimating the workload of a multi-disciplinary care team using patient-level encounter histories-Reference-Cited by-同舟云学术

Estimating the workload of a multi-disciplinary care team using patient-level encounter histories

Published:2023-06-12 Issue: Volume: Page:1-21
ISSN:2047-6965
Container-title:Health Systems
language:en
Short-container-title:Health Systems

Author:

Koker Ekin¹,Balasubramanian Hari²,Castonguay Rebecca³,Bottali Aliecia⁴,Truchil Aaron⁵

Affiliation:

1. Independent Data Scientist, formerly PhD student at the University of Massachusetts, Amherst, USA

2. Mechanical and Industrial Engineering, University of Massachusetts, Amherst, USA

3. Repair Engineer at General Electric (GE) Renewable Energy, formerly an undergraduate research assistant at the University of Massachusetts, Amherst, USA

4. Global Sourcing Analyst at Hologic, Inc, formerly an undergraduate research assistant at the University of Massachusetts, Amherst, USA

5. Director of Strategy and Analytics, Camden Coalition of Healthcare Providers, Camden, NJ, USA

Funder

National Science Foundation

Publisher

Informa UK Limited

Subject

Health Informatics,Health Policy,Management Science and Operations Research,Information Systems,Human-Computer Interaction

Link

https://www.tandfonline.com/doi/pdf/10.1080/20476965.2023.2215848

Reference23 articles.

1. Agency for Healthcare Research and Quality (AHRQ). Multiple Chronic Conditions Chartbook. (2010). Medical expenditure panel survey data. Retrieved July 20, 2018, from https://www.ahrq.gov/sites/default/files/wysiwyg/professionals/prevention-chronic-care/decision/mcc/mccchartbook.pdf

2. Outpatient appointment systems in healthcare: A review of optimization studies

3. Optimal Inventory Policy

4. Elective Patient Admission and Scheduling under Multiple Resource Constraints

5. Innovation and Best Practices in Health Care Scheduling