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Updated: Aug 15, 2025

Improving IV Insulin Administration in a Community Hospital
Published on: June 11, 2012
Propositional Inference for IoT Based Dosage Calibration System Using Private Patient-Specific Prescription against
Karthikeyan Gopalakrishnan1, Arunkumar Balakrishnan2, Kousalya Govardhanan1
1Department of Computer Science and Engineering, Coimbatore Institute of Technology, Coimbatore 641014, India.
This study introduces a secure blockchain system for Internet of Things (IoT)-based insulin pumps, preventing fatal dosage errors from cyberattacks. The method ensures accurate insulin delivery through verified, immutable records.
Area of Science:
- Biomedical Engineering
- Cybersecurity
- Blockchain Technology
Background:
- Internet of Things (IoT)-based insulin pumps offer real-time monitoring and controlled insulin delivery for diabetes management.
- Security vulnerabilities in IoT insulin pumps pose risks of fatal dosage errors due to external software and hardware attacks.
- Existing systems face rejection due to the potential for manipulation and external threats.
Purpose of the Study:
- To propose a novel blockchain-based security framework for IoT insulin pumps.
- To enhance the safety and reliability of insulin delivery systems against cyber threats.
- To ensure accurate and secure insulin dosage administration for diabetic patients.
Main Methods:
- Development of a patient-specific private blockchain for secure storage of insulin dosage information.
- Implementation of an approval system involving doctors, nurses, and caretakers as authorized blockchain miners.
- Secure transfer of prescription data to the IoT insulin pump with immutable ledger verification.
- Utilization of a state-behavior-based anomaly detection system for temporal data analysis.
Main Results:
- The proposed system creates an immutable ledger of insulin dosage information, approved by authorized personnel.
- Secure data transfer prevents modification of prescription details during transit to the insulin pump.
- Anomaly detection identifies and halts potentially fatal dosages, ensuring patient safety.
- The system operates on a binary outcome: verify and deliver or halt, eliminating exploitable loopholes.
Conclusions:
- The blockchain-based approach significantly enhances the security and reliability of IoT insulin pumps.
- This method mitigates risks associated with external attacks, preventing erroneous insulin dosages.
- The system ensures accountability and patient safety in diabetes management through secure, verified insulin delivery.
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