Enhancing Transparency and Trustworthiness of Healthcare IoT Data with AWS: A Proposed Model

The growing adoption of healthcare Internet of Things (IoT) devices has led to an exponential increase in the generation and sharing of sensitive patient data. However, ensuring transparency and trustworthiness of healthcare IoT data remains a critical concern. This research paper presents a novel approach to address these challenges by proposing a model that leverages Amazon Web Services (AWS). The model integrates various AWS services to establish secure data storage, encryption, access controls, audit logs, compliance, and data analytics, all while prioritizing data privacy through anonymization techniques. A comprehensive literature review underscores the significance of transparency and trust in healthcare IoT data, highlighting the need for robust mechanisms. The model encompasses AWS S3 and Glacier for encrypted, scalable data storage, AWS KMS for data encryption and key management, AWS IAM for access controls, and AWS CloudTrail and CloudWatch for monitoring and auditing. Additionally, AWS Lambda and Amazon Redshift are employed for data analytics. The paper outlines implementation and deployment considerations, including integration with existing healthcare IoT infrastructure, offering practical steps for implementation. Through case studies and comparative analysis, the advantages of the proposed model are demonstrated. The evaluation metrics and methods outlined enable the assessment of transparency and trustworthiness of healthcare IoT data facilitated by the proposed model. This research contributes a valuable framework for healthcare IoT stakeholders to enhance transparency and trustworthiness in their data management utilizing AWS services, while also identifying future research directions for continuous improvement in healthcare IoT data governance and trust-building mechanisms.