Privacy Preserving in Digital Health

2021 ◽  
pp. 1503-1526
Author(s):  
Zakariae El Ouazzani ◽  
Hanan El Bakkali ◽  
Souad Sadki
Keyword(s):  
Information And Communication Technologies ◽  
Digital Health ◽  
Health Sector ◽  
Privacy Preserving ◽  
Health Data ◽  
Patient Privacy ◽  
Healthcare Organizations ◽  
Related Data ◽  
Healthcare Data ◽  
Privacy Violation

Recently, digital health solutions are taking advantage of recent advances in information and communication technologies. In this context, patients' health data are shared with other stakeholders. Moreover, it's now easier to collect massive health data due to the rising use of connected sensors in the health sector. However, the sensitivity of this shared healthcare data related to patients may increase the risks of privacy violation. Therefore, healthcare-related data need robust security measurements to prevent its disclosure and preserve patients' privacy. However, in order to make well-informed decisions, it is often necessary to allow more permissive security policies for healthcare organizations even without the consent of patients or against their preferences. The authors of this chapter concentrate on highlighting these challenging issues related to patient privacy and presenting some of the most significant privacy preserving approaches in the context of digital health.

Privacy Preserving in Digital Health

2020 ◽  
pp. 253-276
Author(s):  
Zakariae El Ouazzani ◽  
Hanan El Bakkali ◽  
Souad Sadki
Keyword(s):  
Information And Communication Technologies ◽  
Digital Health ◽  
Health Sector ◽  
Privacy Preserving ◽  
Health Data ◽  
Patient Privacy ◽  
Healthcare Organizations ◽  
Related Data ◽  
Healthcare Data ◽  
Privacy Violation

Recently, digital health solutions are taking advantage of recent advances in information and communication technologies. In this context, patients' health data are shared with other stakeholders. Moreover, it's now easier to collect massive health data due to the rising use of connected sensors in the health sector. However, the sensitivity of this shared healthcare data related to patients may increase the risks of privacy violation. Therefore, healthcare-related data need robust security measurements to prevent its disclosure and preserve patients' privacy. However, in order to make well-informed decisions, it is often necessary to allow more permissive security policies for healthcare organizations even without the consent of patients or against their preferences. The authors of this chapter concentrate on highlighting these challenging issues related to patient privacy and presenting some of the most significant privacy preserving approaches in the context of digital health.

Framework Design and Case Study for Privacy-Preserving Medical Data Publishing

2013 ◽  
Vol 4 (4) ◽  
pp. 48-65 ◽  
Author(s):  
Yu Niu ◽  
Ji-Jiang Yang ◽  
Qing Wang
Keyword(s):  
Data Sharing ◽  
Personal Information ◽  
Real Life ◽  
Privacy Preserving ◽  
Medical Data ◽  
Data Publishing ◽  
Free Text ◽  
Patient Privacy ◽  
Healthcare Data

With the pervasive using of Electronic Medical Records (EMR) and telemedicine technologies, more and more digital healthcare data are accumulated from multiple sources. As healthcare data is valuable for both commercial and scientific research, the demand of sharing healthcare data has been growing rapidly. Nevertheless, health care data normally contains a large amount of personal information, and sharing them directly would bring huge threaten to the patient privacy. This paper proposes a privacy preserving framework for medical data sharing with the view of practical application. The framework focuses on three key issues of privacy protection during the data sharing, which are privacy definition/detection, privacy policy management, and privacy preserving data publishing. A case study for Chinese Electronic Medical Record (ERM) publishing with privacy preserving is implemented based on the proposed framework. Specific Chinese free text EMR segmentation, Protected Health Information (PHI) extraction, and K-anonymity PHI anonymous algorithms are proposed in each component. The real-life data from hospitals are used to evaluate the performance of the proposed framework and system.

Towards Clinical and Operational Efficiency through Healthcare Process Analytics

2016 ◽  
Vol 1 (1) ◽  
pp. 1-17
Author(s):  
Vassiliki Koufi ◽  
Flora Malamateniou ◽  
George Vassilacopoulos
Keyword(s):  
New Technologies ◽  
Cost Effective ◽  
Patient Privacy ◽  
Healthcare Organizations ◽  
Data Infrastructure ◽  
Quality Healthcare ◽  
Related Data ◽  
Strategic Role ◽  
Healthcare Processes ◽  
And Performance

In the rapidly changing healthcare industry, keeping up with new technologies and innovations has become less of a desire and more of a requirement. Currently, business intelligence and analytics technologies are becoming breakthrough business drivers. In the face of the demand for provision of high-quality healthcare in a cost-effective way, healthcare organizations are recognizing the strategic role that advanced analytics can play in optimizing their processes. The ability to use data analytics in real time in order to evaluate the efficiency and effectiveness of healthcare processes can lead to better financial and budgetary performance, deeper citizen/patient-centric relationships and significant improvement in the way health care is conceived and delivered. This paper presents a framework for optimizing healthcare processes by analyzing process-related data in order to ensure that processes meet the stated operational and performance objectives. The framework is built on top of a data infrastructure that integrates process-related data from various sources into a structured view, suitable for analytics and decision support. Emphasis is also placed on security and patient privacy during execution of the optimized healthcare processes.

scholarly journals Patient Privacy Violation Detection in Healthcare Critical Infrastructures: An Investigation Using Density-Based Benchmarking

2020 ◽  
Vol 12 (6) ◽  
pp. 100
Author(s):  
William Hurst ◽  
Aaron Boddy ◽  
Madjid Merabti ◽  
Nathan Shone
Keyword(s):  
Spatial Clustering ◽  
Electronic Devices ◽  
Critical Infrastructures ◽  
Patient Privacy ◽  
Legacy Software ◽  
Healthcare Data ◽  
Malicious Activity ◽  
Privacy Violation ◽  
The Many ◽  
The Uk

Hospital critical infrastructures have a distinct threat vector, due to (i) a dependence on legacy software; (ii) the vast levels of interconnected medical devices; (iii) the use of multiple bespoke software and that (iv) electronic devices (e.g., laptops and PCs) are often shared by multiple users. In the UK, hospitals are currently upgrading towards the use of electronic patient record (EPR) systems. EPR systems and their data are replacing traditional paper records, providing access to patients’ test results and details of their overall care more efficiently. Paper records are no-longer stored at patients’ bedsides, but instead are accessible via electronic devices for the direct insertion of data. With over 83% of hospitals in the UK moving towards EPRs, access to this healthcare data needs to be monitored proactively for malicious activity. It is paramount that hospitals maintain patient trust and ensure that the information security principles of integrity, availability and confidentiality are upheld when deploying EPR systems. In this paper, an investigation methodology is presented towards the identification of anomalous behaviours within EPR datasets. Many security solutions focus on a perimeter-based approach; however, this approach alone is not enough to guarantee security, as can be seen from the many examples of breaches. Our proposed system can be complementary to existing security perimeter solutions. The system outlined in this research employs an internal-focused methodology for anomaly detection by using the Local Outlier Factor (LOF) and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithms for benchmarking behaviour, for assisting healthcare data analysts. Out of 90,385 unique IDs, DBSCAN finds 102 anomalies, whereas 358 are detected using LOF.

Framework Design and Case Study for Privacy-Preserving Medical Data Publishing

2015 ◽  
pp. 1115-1130
Author(s):  
Yu Niu ◽  
Ji-Jiang Yang ◽  
Qing Wang
Keyword(s):  
Data Sharing ◽  
Personal Information ◽  
Real Life ◽  
Privacy Preserving ◽  
Medical Data ◽  
Data Publishing ◽  
Patient Privacy ◽  
Multiple Sources ◽  
Healthcare Data

With the pervasive using of Electronic Medical Records (EMR) and telemedicine technologies, more and more digital healthcare data are accumulated from multiple sources. As healthcare data is valuable for both commercial and scientific research, the demand of sharing healthcare data has been growing rapidly. Nevertheless, health care data normally contains a large amount of personal information, and sharing them directly would bring huge threaten to the patient privacy. This paper proposes a privacy preserving framework for medical data sharing with the view of practical application. The framework focuses on three key issues of privacy protection during the data sharing, which are privacy definition/detection, privacy policy management, and privacy preserving data publishing. A case study for Chinese Electronic Medical Record (ERM) publishing with privacy preserving is implemented based on the proposed framework. Specific Chinese free text EMR segmentation, Protected Health Information (PHI) extraction, and K-anonymity PHI anonymous algorithms are proposed in each component. The real-life data from hospitals are used to evaluate the performance of the proposed framework and system.

Health data sharing and use explored

Impact ◽  
2021 ◽  
Vol 2021 (8) ◽  
pp. 4-5
Author(s):  
Lucy Annette
Keyword(s):  
Data Sharing ◽  
Data Protection ◽  
Positive Impact ◽  
Digital Health ◽  
Health Data ◽  
Full Potential ◽  
Health And Wellness ◽  
Related Data ◽  
Health Related ◽  
The Right

Three expert roundtables took place as part of DigitalHealthEurope (DHE), with discussions surrounding health data sharing and use. In the first roundtable, the implementation of GDPR was explored and the experts delved into possible remaining challenges associated with understanding the way in which health related data may be used. Legal issues and the importance of data protection and citizen protection were discussed, as was the need for more human resources regarding data protection, which could be rectified by the provision of education in this area. The introduction of a new EU body responsible for data legislative needs was an idea that was put forward. Next, the law as an enabler of data use was discussed, along with the protection of citizens and data. It was highlighted that in order for the full potential of digital health to be realised, data literacy and skills are paramount. The experts also discussed how data can be used to protect citizens, without compromising a right to privacy, as well as the importance of generating the right data to ensure that it can be used to protect citizens' health and wellness. A further topic of discussion was how the development of a range of skills among data stakeholders would lead to the better use of data and that this would have a positive impact on health and wellness.

scholarly journals Digital health in the Americas: advances and challenges in connected health

2018 ◽  
Vol 4 (3) ◽  
pp. 123-127 ◽  
Author(s):  
David Novillo-Ortiz ◽  
Elsy Maria Dumit ◽  
Marcelo D’Agostino ◽  
Francisco Becerra-Posada ◽  
Edward Talbott Kelley ◽  
...  
Keyword(s):  
Information And Communication Technologies ◽  
Mobile Health ◽  
Low Income ◽  
Digital Health ◽  
Health Sector ◽  
Developed Countries ◽  
High Income ◽  
Low Income Countries ◽  
Health Coverage ◽  
Middle Income

In 2005, all WHO Member States pledged to fight for universal health coverage (UHC). The availability of financial, human and technological resources seems to be necessary to develop efficient health policies and also to offer UHC. One of the main challenges facing the health sector comes from the need to innovate efficiently. The intense use of information and communication technologies (ICTs) in the health field evidences a notable improvement in results obtained by institutions, health professionals and patients, principally in developed countries. In the Americas, the relationship between economic development and health innovation is not particularly evident. Data from 19 of 35 countries surveyed in the 2015 Third Global Survey on eHealth for the region of the Americas were analysed. 52.6% of the countries of the Americas have a national policy or strategy for UHC. 57.9% of the countries in the sample indicate that they have a national eHealth policy or strategy, but only 26.3% have an entity that supervises the quality, safety and reliability regulations for mobile health applications. The survey data indicate that high-income and low-income to middle-income countries show higher percentages in relation to the existence of entities that promote innovation. These countries also exceed 60%—compared with 40% and 50% in lower-income countries—in all cases regarding the use of eHealth practices, such as mobile health, remote patient monitoring or telehealth. 100% of low-income countries report offering ICT training to healthcare professionals, compared with 83% of wealthy countries and 81% of middle-income to high-income countries.

A Systematic Review of Privacy Preserving Healthcare Data Sharing on Blockchain

2020 ◽  
pp. 31-37
Author(s):  
Mustafa Tanriverdi ◽  
Keyword(s):  
Data Sharing ◽  
Data Privacy ◽  
Privacy Preserving ◽  
Health Data ◽  
Health Records ◽  
Healthcare Data ◽  
Shared Data ◽  
Quality Of Health Services ◽  
Electronic Health

Sharing the electronic health data helps to increase the accuracy of the diagnoses and to improve the quality of health services. This shared data can also be used in medical research and can reduce medical costs. However, health data are fragmented across decentralized hospitals, this prevents data sharing and puts patients’ privacy at risks. In recent years, blockchain has revealed solutions that make life easier in many areas thanks to its distributed, safe and immutable structure. There are many blockchain-based studies in the literature on providing data privacy and sharing in different areas. In some studies, blockchain has been used with technologies such as cloud computing and cryptology. In the field of healthcare blockchain-based solutions are offered for the management and sharing of Electronic health records. In these solutions, private and consortium blockchain types are generally preferred and Public Key Infrastructure (PKI) and encryption are used for data privacy. Within the scope of this study, blockchain-based studies on the privacy preserving data sharing of health data were examined. In this paper, information about the studies in the literature and potential issues that can be studied in the future were discussed. In addition, information about current blockchain technologies such as smart contracts and PKI is also given.

scholarly journals A Secure Protocol for Managing and Sharing Personal Healthcare Data

2020 ◽  
Author(s):  
Athanasios Kiourtis ◽  
Argyro Mavrogiorgou ◽  
Sofia-Anna Menesidou ◽  
Panagiotis Gouvas ◽  
Dimosthenis Kyriazis
Keyword(s):  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Health Data ◽  
Care Quality ◽  
Healthcare Organizations ◽  
Health Records ◽  
Healthcare Data ◽  
Software Applications ◽  
Secure Protocol

Current technologies provide the ability to healthcare practitioners and citizens, to share and analyse healthcare information, thus improving the patient care quality. Nevertheless, European Union (EU) citizens have very limited control over their own health data, despite that several countries are using national or regional Electronic Health Records (EHRs) for realizing virtual or centralized national repositories of citizens’ health records. Health Information Exchange (HIE) can greatly improve the completeness of patients’ records. However, most of the current researches deal with exchanging health information among healthcare organizations, without giving the ability to the citizens on accessing, managing or exchanging healthcare data with healthcare organizations and thus being able to handle their own data, mainly due to lack of standardization and security protocols. Towards this challenge, in this paper a secure Device-to-Device (D2D) protocol is specified that can be used by software applications, aiming on facilitating the exchange of health data among citizens and healthcare professionals, on top of Bluetooth technologies.

Survey of Cloud Computing in Healthcare Sector

2017 ◽  
Vol 7 (7) ◽  
pp. 337
Author(s):  
S. Karthiga Devi ◽  
B. Arputhamary
Keyword(s):  
Cloud Computing ◽  
Healthcare Providers ◽  
High Volume ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Cloud Infrastructure ◽  
Healthcare Organizations ◽  
Privacy And Security ◽  
Healthcare Data ◽  
Number Of Patients

Today the volume of healthcare data generated increased rapidly because of the number of patients in each hospital increasing.  These data are most important for decision making and delivering the best care for patients. Healthcare providers are now faced with collecting, managing, storing and securing huge amounts of sensitive protected health information. As a result, an increasing number of healthcare organizations are turning to cloud based services. Cloud computing offers a viable, secure alternative to premise based healthcare solutions. The infrastructure of Cloud is characterized by a high volume storage and a high throughput. The privacy and security are the two most important concerns in cloud-based healthcare services. Healthcare organization should have electronic medical records in order to use the cloud infrastructure. This paper surveys the challenges of cloud in healthcare and benefits of cloud techniques in health care industries.

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