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Article

PatientDataChain: A Blockchain-Based Approach to Integrate Personal Health Records

1
Faculty of Automatic Control and Computers, University Politehnica of Bucharest, 060042 Bucharest, Romania
2
Faculty of Entrepreneurship, Business Engineering and Management, University Politehnica of Bucharest, 060042 Bucharest, Romania
3
Setrio Soft SRL, 062204 Bucharest, Romania
4
Modex Ltd., 031625 Bucharest, Romania
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(22), 6538; https://doi.org/10.3390/s20226538
Received: 23 October 2020 / Revised: 3 November 2020 / Accepted: 12 November 2020 / Published: 16 November 2020
(This article belongs to the Special Issue Fractional Sensor Fusion and Its Applications)
Currently there is not a single trusted infrastructure used for the exchange and storage of medical data along the healthcare value chain and, thus, there is no platform used for monitoring patients’ traceability within the entire healthcare chain. This situation leads to difficult communication and increased procedural costs, and thus it limits healthcare players from developing a better understanding and know-how of patients’ traceability that could further boost innovation and development of the best-fitted health services. PatientDataChain blockchain-based technology is a novel approach, based on a decentralized healthcare infrastructure that incorporates a trust layer in the healthcare value chain. Our aim was to provide an integrated vision based on interoperability principles, that relies on the usage of specific sensors from various wearable devices, allowing us to collect specific data from patients’ medical records. Interconnecting different healthcare providers, the collected data is integrated into a unitary personal health records (PHR) system, where the patient is the owner of his/her data. The decentralized nature of PatientDataChain, based on blockchain technology, leveraged the proper context to create a novel and improved data-sharing and exchange system, which is secure, flexible, and reliable. This approach brings increased benefits to data confidentiality and privacy, while providing secure access to patient medical records. This paper presents the design, implementation, and experimental validation of our proposed system, called PatientDataChain. The original contributions of our paper include the definition of the concept of unifying the entire healthcare value chain, the design of the architectural model of the system, the development of the system components, as well as the validation through a proof of concept (PoC) conducted with a medical clinic from Bucharest, using a dataset of 100 patients and over 1000 transactions. The proof of concept demonstrated the feasibility of the model in integrating the personal health records from heterogeneous sources (healthcare systems and sensors) in a unified, decentralized PHR system, with enhanced data exchange among healthcare players. View Full-Text
Keywords: electronic health records (EHR); personal health records (PHR); blockchain; Modex blockchain database (BCDB); healthcare sensors electronic health records (EHR); personal health records (PHR); blockchain; Modex blockchain database (BCDB); healthcare sensors
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MDPI and ACS Style

Cernian, A.; Tiganoaia, B.; Sacala, I.; Pavel, A.; Iftemi, A. PatientDataChain: A Blockchain-Based Approach to Integrate Personal Health Records. Sensors 2020, 20, 6538. https://doi.org/10.3390/s20226538

AMA Style

Cernian A, Tiganoaia B, Sacala I, Pavel A, Iftemi A. PatientDataChain: A Blockchain-Based Approach to Integrate Personal Health Records. Sensors. 2020; 20(22):6538. https://doi.org/10.3390/s20226538

Chicago/Turabian Style

Cernian, Alexandra, Bogdan Tiganoaia, Ioan Sacala, Adrian Pavel, and Alin Iftemi. 2020. "PatientDataChain: A Blockchain-Based Approach to Integrate Personal Health Records" Sensors 20, no. 22: 6538. https://doi.org/10.3390/s20226538

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