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Decision Intelligence for Healthcare Decarbonization

Selvaprabu Nadarajah & Sylvia Dziemian

Foundations and Trends in Technology, Information and Operations Management2025https://doi.org/10.1561/0200000116-4article
AJG 1
Weight
0.50

What the paper says

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.

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https://doi.org/https://doi.org/10.1561/0200000116-4

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@article{selvaprabu2025,
  title        = {{Decision Intelligence for Healthcare Decarbonization}},
  author       = {Selvaprabu Nadarajah & Sylvia Dziemian},
  journal      = {Foundations and Trends in Technology, Information and Operations Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1561/0200000116-4},
}

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Decision Intelligence for Healthcare Decarbonization

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.