Health data security and privacy: Challenges and solutions for the future

Yigzaw, Kassaye Yitbarek; Olabarriaga, Sílvia D.; Michalas, Antonis; Marco-Ruiz, Luis; Hillen, Christiaan; Verginadis, Yiannis; Oliveira, Marcela T. de; Krefting, Dagmar; Penzel, Thomas; Bowden, James; Bellika, Johan Gustav; Chomutare, Taridzo

doi:10.1016/b978-0-12-823413-6.00014-8

Cited by 7 publications

(3 citation statements)

References 44 publications

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“…Another works showing health data security challenges and solutions, focusing on access control, cryptography, data de-identification, and privacy-preserving distributed data mining. Realistic use cases illustrate implementation, guiding healthcare institutions in crafting cybersecurity policies to meet GDPR, HIPAA, and other regulations [27]. The mHealth applications act as telemedicine platforms, enabling remote consultations and prescription deliveries, particularly beneficial in underserved or rural regions.…”

Section: Cryptography For Healthcarementioning

confidence: 99%

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Secure and portable health monitoring system for cyber physical systems in internet of things

Sarkar,

Jhamb

2024

Eng. Res. Express

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The incorporation of Internet of Things (IoT) technology into healthcare has introduced vulnerabilities within medical devices, thereby posing noteworthy risks to both patient safety and the inclusive integrity of healthcare systems. This contribution addresses the security concern of health care monitoring system. The STM32BL-475E IoT node along with its sensors provides a greener way to monitor health remotely with data privacy, along with this many such applications can be containerized to enable multiuser application in virtual set up. This Paper proposes a methodology of dynamic key generation highlighting the potential for transformative healthcare advancements. The proposed work provides an improved avalanche effect of 51.6%, minimal RAM utilization of 3.49% and a randomness of 2^128 times which is very unpredictable to detect. This paper aims to integrate these technologies to create a resilient health monitoring framework with greater data indemnity. The integration of artificial intelligence with the proposed design is reserved as future work

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Section: Cryptography For Healthcarementioning

confidence: 99%

“…Literature study [27] Access control, cryptography along with data de-identification and privacypreserving, distributed data mining.…”

Section: [23]mentioning

confidence: 99%

Secure and portable health monitoring system for cyber physical systems in internet of things

Sarkar,

Jhamb

2024

Eng. Res. Express

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“…However, security and privacy challenges impede the widespread adoption of cloud services because they are susceptible to privacy and security threats [ 7 ]. Patients and health care organizations are afraid of losing control over the EMR when storing it on untrusted third-party clouds [ 8 ]. Finally, besides handling the privacy and security threats in cloud environments, cloud-based EMR applications must comply with the legal requirements regarding privacy and security imposed by the General Data Protection Regulation (GDPR) [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Perceptions of a Secure Cloud-Based Solution for Data Sharing During Acute Stroke Care: Qualitative Interview Study

Oliveira¹,

Reis²,

Marquering³

et al. 2022

JMIR Form Res

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Background Acute stroke care demands fast procedures performed through the collaboration of multiple professionals across multiple organizations. Cloud computing and the wide adoption of electronic medical records (EMRs) enable health care systems to improve data availability and facilitate sharing among professionals. However, designing a secure and privacy-preserving EMR cloud-based application is challenging because it must dynamically control the access to the patient’s EMR according to the needs for data during treatment. Objective We developed a prototype of a secure EMR cloud-based application. The application explores the security features offered by the eHealth cloud-based framework created by the Advanced Secure Cloud Encrypted Platform for Internationally Orchestrated Solutions in Health Care Horizon 2020 project. This study aimed to collect impressions, challenges, and improvements for the prototype when applied to the use case of secure data sharing among acute care teams during emergency treatment in the Netherlands. Methods We conducted 14 semistructured interviews with medical professionals with 4 prominent roles in acute care: emergency call centers, ambulance services, emergency hospitals, and general practitioner clinics. We used in-depth interviews to capture their perspectives about the application’s design and functions and its use in a simulated acute care event. We used thematic analysis of interview transcripts. Participants were recruited until the collected data reached thematic saturation. Results The participants’ perceptions and feedback are presented as 5 themes identified from the interviews: current challenges (theme 1), quality of the shared EMR data (theme 2), integrity and auditability of the EMR data (theme 3), usefulness and functionality of the application (theme 4), and trust and acceptance of the technology (theme 5). The results reinforced the current challenges in patient data sharing during acute stroke care. Moreover, from the user point of view, we expressed the challenges of adopting the Advanced Secure Cloud Encrypted Platform for Internationally Orchestrated Solutions in Health Care Acute Stroke Care application in a real scenario and provided suggestions for improving the proposed technology’s acceptability. Conclusions This study has endorsed a system that supports data sharing among acute care professionals with efficiency, but without compromising the security and privacy of the patient. This explorative study identified several significant barriers to and improvement opportunities for the future acceptance and adoption of the proposed system. Moreover, the study results highlight that the desired digital transformation should consider integrating the already existing systems instead of requesting migration to a new centralized system.

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