Foundations and Trends® in Technology, Information and Operations Management > Vol 19 > Issue 2–3

Decision Intelligence for Healthcare Decarbonization

By Selvaprabu Nadarajah, Information and Decision Sciences, University of Illinois Chicago, USA, selvan@uic.edu | Sylvia Dziemian, Bureau of Syndemic Infectious Diseases, Chicago Department of Public Health, USA, sylvia.dziemian@cityofchicago.org

 
Suggested Citation
Selvaprabu Nadarajah and Sylvia Dziemian (2025), "Decision Intelligence for Healthcare Decarbonization", Foundations and Trends® in Technology, Information and Operations Management: Vol. 19: No. 2–3, pp 229-251. http://dx.doi.org/10.1561/0200000116-4

Publication Date: 12 Mar 2025
© 2025 S. Nadarajah and S. Dziemian
 
Subjects
Optimization,  Reinforcement learning,  Energy risk management, instruments and trading
 

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In this article:
1. Introduction
2. Risk Aware Investment in Onsite Renewables
3. Tuberculosis Care Management
4. Conclusions
References

Abstract

Decarbonization goals in healthcare have increased significantly. Their achievement requires aligning environmental objectives with improvements in financial performance and health outcomes. Among a wide range of options, the healthcare sector can (i) adopt successful decarbonization strategies from other energy intensive sectors, and (ii) enhance its patient-focused activities with decarbonization potential. This work provides examples of this adopt-and-enhance approach, spotlighting the enabling role of decision intelligence (DI), that is, the decision-centered use of data and technology. First, we discuss DI for managing risks in adopting renewables on site in a hospital. Second, we highlight the challenge posed by access inequity in decarbonizing tuberculosis care delivery and propose a DI research framework to study this challenge. These examples highlight the potential for DI to accelerate decarbonization.

DOI:10.1561/0200000116-4
ISBN: 978-1-63828-464-2
372 pp. $99.00
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ISBN: 978-1-63828-465-9
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Table of contents:
Preface
1. #ThisisPublicHealth—The Seed of an Idea That Has Grown Into a Forest of Possibilities
2. Budget Allocations for Public Health Procurement
3. A Data-Driven Approach to Optimize Surgical Instrument Trays
4. Decision Intelligence for Healthcare Decarbonization
5. Unveiling the Data Potential - Navigating the Data Revolution for Improved Patient Care
6. Revolutionizing Healthcare: A Comprehensive Examination of Telemedicine’s Journey, Hurdles, and Future Frontiers
7. Leveraging Social Media for COVID-19 Response: Insights from a Data Competition
8. Key Lessons from the COVID-19 Pandemic
9. Barriers to Seeking Mental Health Care in Rural Communities: An Empirical Exploration in Minnesota and Wisconsin
10. Testing as a Control Mechanism for Emerging Epidemics
11. Changes in Consumers’ Shopping Channel Preferences Impacted by COVID-19 Pandemic

Lessons from the Pandemic for Healthcare Operations

Lessons from the Pandemic for Healthcare Operations delves into the lessons learned from the COVID-19 pandemic that can be applied to the post-pandemic world to enhance efficiency, equity, and fairness in healthcare operations. It emphasizes the importance of preparedness in combating future pandemics or public health disasters, regardless of when or where they may occur. This work offers a unique perspective through which to view the evolving outlines of healthcare delivery, policy, and research. This is illustrated using several real-world experiences, empirical studies, and forward-looking insights. The contributions fall under three broad themes: the management of policies and funding in healthcare, the role of data and data-driven research, and accessible healthcare services during and after the pandemic.

 
TOM-116-4

Companion

Foundations and Trends® in Technology, Information and Operations Management, Volume 19, Issue 2-3 Special Issue: Lessons from the Pandemic for Healthcare Operations
See the other articles that are also part of this special issue.