A Preliminary Exploration of Energy Consumption in Blockchain Applications for Thai Healthcare Networks

##plugins.themes.bootstrap3.article.main##

Supakit Prueksaaroon
Supakrit Nithikethkul

摘要

Thailand’s fragmented healthcare information systems limit interoperability, seamless
data exchange, and nationwide analytics. The Thai Health Data Center uses the “43 -files standard” to aggregate hospital data through 13 regional centers before reaching the central database. However, this centralized model struggles with availability and resilience—critical for sensitive, time-critical healthcare data tied to legal and insurance processes. Ensuring data security, accessibility, and protection against loss is vital, especially as expectations for disaster recovery grow amid risks like outages and natural disasters. Blockchain offers a secure and scalable alternative for managing healthcare data. In national systems where trust exists among participants, permissioned blockchain is suitable, providing controlled access,
stronger security, and greater availability. To limit energy use, the proposed design employs Proof of Authority (PoA), a consensus mechanism optimized for trusted environments. Using CloudSim Plus, the study simulates and compares energy consumption between classical and blockchain-based systems. The architecture comprises 23 authorized nodes—including regional health offices, zoning divisions, insurance agencies, and the Ministry of Public Health. Transactions are modeled as cloudlets executed on Dell PowerEdge XR11 servers, with volume estimated via regression from 2018–2023 data at about 75 million monthly transactions. Results show annual energy use of 15,827.62 kWh for classical systems and 29,410.02 kWh
for blockchain, reflecting a 1.86-fold increase due to added resilience and continuity

##plugins.themes.bootstrap3.article.details##

栏目
Articles

参考

NHSO Regional Office [Internet]. Nhso.go.th. 2024 [cited 2025 Apr 21]. Available from:

https://eng.nhso.go.th/view/1/NHSO_Regional_Office/EN-US

Lertpitakpong C. Strengthening health information system on hypertension: 43 folders. PH.PL [Internet]. 2021 Nov 19 [cited 2025 Apr 21];7(3):573-82. Available from: https://so05.tcithaijo.org/index.php/journal_law/article/-view/255699

Quattrocchi G, Scaramuzza F, Tamburri D. The Blockchain Trilemma: An Evaluation Framework. IEEE Software. 2024;PP:1–8.

Bashir I. Mastering blockchain: distributed ledgers, decentralization and smart contracts explained. Birmingham (UK); Mumbai (India): Packt; 2017.

Solat S, Calvez P, Nait-Abdesselam F. Permissioned vs. permissionless blockchain: how and why there is only one right choice. J Softw. 2020;16:95–106.

Cole R, Cheng L. Modeling the energy consumption of blockchain consensus algorithms. In: Proceedings of the 2018 IEEE International Conference on Internet of Things (iThings), IEEE GreenCom, IEEE CPSCom, and IEEE Smart Data; 2018 Jul 30–Aug 3; Halifax, Canada. Piscataway (NJ): IEEE; 2018. p. 1691–6.

Sedlmeir J, Buhl HU, Fridgen G, Keller R. The energy consumption of blockchain technology: beyond myth. Bus Inf Syst Eng. 2020;62(6):599–608.

Kohli V, Chakravarty S, Chamola V, Sangwan KS, Zeadally S. An analysis of energy consumption and carbon footprints of cryptocurrencies and possible solutions. Digit Commun Netw. 2022;9(1):79–89.

Bada AO, Damianou A, Angelopoulos CM, Katos V. Towards a green blockchain: a review of consensus mechanisms and their energy consumption. In: Proceedings of the 2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS); 2021Jun 7–9; Pafos, Cyprus. Piscataway (NJ): IEEE; 2021. p. 503–11.

Silva Filho MC, Oliveira RL, Monteiro CC, Inacio PRM, Freire MM. Cloud Sim Plus: a cloud computing simulation framework pursuing software engineering principles for improved modularity, extensibility and correctness. In: Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM); 2017 May 8–12; Lisbon, Portugal. Piscataway (NJ): IEEE; 2017. p. 400–6.