Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
The traditional top-down approach to hospital location decision-making often leads to inefficiencies and fails to address communities’ evolving needs. This paper proposes a novel smart ecosystem planning model that leverages advanced technologies, including blockchain and smart contracts, to enhance hospital site selection processes. We propose a model based on the Decentralized Autonomous Organization (DAO) concept to manage healthcare location decisions. Our study focuses on implementing this model in New Zealand (NZ), by analyzing long-term healthcare needs and optimize resource allocation for new healthcare facilities. The proposed smart ecosystem empowers many stakeholders to participate actively in decision-making. This collaborative approach ensures hospital locations are chosen based on comprehensive, data-driven insights, leading to improved healthcare delivery, operational efficiency, and equitable service access. Our findings provide valuable managerial insights for healthcare administrators and policymakers and offer a scalable model that other regions and countries can adopt to enhance healthcare infrastructure planning.
Recommended Citation
Aakanksha, Aakanksha and Sundaram, David, "Optimizing Smart Ecosystems Using DAO: Collaborative Hospital Location Decision-Making" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 2.
https://aisel.aisnet.org/hicss-58/da/blockchain/2
Optimizing Smart Ecosystems Using DAO: Collaborative Hospital Location Decision-Making
Hilton Waikoloa Village, Hawaii
The traditional top-down approach to hospital location decision-making often leads to inefficiencies and fails to address communities’ evolving needs. This paper proposes a novel smart ecosystem planning model that leverages advanced technologies, including blockchain and smart contracts, to enhance hospital site selection processes. We propose a model based on the Decentralized Autonomous Organization (DAO) concept to manage healthcare location decisions. Our study focuses on implementing this model in New Zealand (NZ), by analyzing long-term healthcare needs and optimize resource allocation for new healthcare facilities. The proposed smart ecosystem empowers many stakeholders to participate actively in decision-making. This collaborative approach ensures hospital locations are chosen based on comprehensive, data-driven insights, leading to improved healthcare delivery, operational efficiency, and equitable service access. Our findings provide valuable managerial insights for healthcare administrators and policymakers and offer a scalable model that other regions and countries can adopt to enhance healthcare infrastructure planning.
https://aisel.aisnet.org/hicss-58/da/blockchain/2