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Security and privacy in electronic health records: a systematic literature review.
Open accessAbstract
Objective To report the results of a systematic literature review concerning the security and privacy of electronic health record (EHR) systems.Data sources Original articles written in English found in MEDLINE, ACM Digital Library, Wiley InterScience, IEEE Digital Library, Science@Direct, MetaPress, ERIC, CINAHL and Trip Database.Study selection Only those articles dealing with the security and privacy of EHR systems.Data extraction The extraction of 775 articles using a predefined search string, the outcome of which was reviewed by three authors and checked by a fourth.Results A total of 49 articles were selected, of which 26 used standards or regulations related to the privacy and security of EHR data. The most widely used regulations are the Health Insurance Portability and Accountability Act (HIPAA) and the European Data Protection Directive 95/46/EC. We found 23 articles that used symmetric key and/or asymmetric key schemes and 13 articles that employed the pseudo anonymity technique in EHR systems. A total of 11 articles propose the use of a digital signature scheme based on PKI (Public Key Infrastructure) and 13 articles propose a login/password (seven of them combined with a digital certificate or PIN) for authentication. The preferred access control model appears to be Role-Based Access Control (RBAC), since it is used in 27 studies. Ten of these studies discuss who should define the EHR systems' roles. Eleven studies discuss who should provide access to EHR data: patients or health entities. Sixteen of the articles reviewed indicate that it is necessary to override defined access policies in the case of an emergency. In 25 articles an audit-log of the system is produced. Only four studies mention that system users and/or health staff should be trained in security and privacy.Conclusions Recent years have witnessed the design of standards and the promulgation of directives concerning security and privacy in EHR systems. However, more work should be done to adopt these regulations and to deploy secure EHR systems.
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“Integrating Artificial Intelligence (AI) and robotics in healthcare heralds a new era of medical innovation, promising enhanced diagnostics, streamlined processes, and improved patient care.”
From Ethical implications of AI and robotics in healthcare: A review (2023) · cites this paper as [1]
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Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000100 · Cited by 28,164
Shamir, A. (1979) · Communications of the ACM · doi:10.1145/359168.359176 · Cited by 13,756
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.06.006 · Cited by 10,578
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
SWEENEY, L. (2002) · International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems · doi:10.1142/s0218488502001648 · Cited by 8,571
Ciphertext-Policy Attribute-Based Encryption
Bethencourt, J., Sahai, A., & Waters, B. (2007) · 2007 IEEE Symposium on Security and Privacy (SP '07) · doi:10.1109/sp.2007.11 · Cited by 5,131
Proposed NIST standard for role-based access control
Ferraiolo, D. F., Sandhu, R. S., Gavrila, S. I., Kuhn, D. R., & Chandramouli, R. (2001) · ACM Transactions on Information and System Security · doi:10.1145/501978.501980 · Cited by 2,553
Certificateless Public Key Cryptography
Al-Riyami, S. S., & Paterson, K. G. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-40061-5_29 · Cited by 2,218
Role of Computerized Physician Order Entry Systems in Facilitating Medication Errors
Koppel, R. (2005) · JAMA · doi:10.1001/jama.293.10.1197 · Cited by 2,126
Westin, A. F. (1967) · Cited by 1,908
Westin, A. F. (1970) · CERN Document Server (European Organization for Nuclear Research) · Cited by 1,861
Flagged first, then by citations
4 of the 127 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- Sainz-Abajo, 2010, Evolución, beneficios y obstáculos en la implantación del Historial Clínico Electrónico en el sistema sanitario, RevistaeSalud.com, 6, 1
- ISI Journal Citation Reports (JCR); 2011. <http://www.accesowok.fecyt.es/jcr/> [accessed 07.12.12].
- SCImago Journal Rank (SJR); 2010. <http://www.scimagojr.com/journalrank.php/> [accessed 07.12.12].
- CORE. COmputing Research and Education; 2010. <http://core.edu.au/index.php/categories/conference/%20rankings/1/> [accessed 07.12.12].
Cited by
Sorted by citations
Items 401–500 of 674
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Hilowle, M., Yeoh, W., Grobler, M. M., Pye, G., & Jiang, F. (2023) · Journal of Computer Information Systems · doi:10.1080/08874417.2023.2251452 · Cited by 5
“36 The research findings highlighted that the security of their health information significantly influenced their willingness to adopt and use digital health systems.”
InfluentialLi, S., Li, R., Zhu, B., Zhang, B., Li, J., Liu, F., & Wei, Y. (2023) · Digital Health · doi:10.1177/20552076231219444 · Cited by 4
“6,7 Recent research has been dedicated to harnessing computational techniques to assess the repercussions of healthcare data breaches.”
BackgroundImplementing Blockchain Based Security in EHR Using Ganache
Satyam, K., Sharma, A., & Devi, R. (2023) · International Conference on Contemporary Computing and Informatics (IC3I) · doi:10.1109/ic3i59117.2023.10397841 · Cited by 4
Enhancing Privacy in Healthcare: A Multilevel Approach to (Pseudo)Anonymization
Emerick, P. H. R., Sampaio, S., Dalmazo, B. L., Riker, A., Neto, A., & Immich, R. (2024) · International Wireless Communications and Mobile Computing Conference (IWCMC) · doi:10.1109/iwcmc61514.2024.10592397 · Cited by 4
“With the expansion of data aggregators into sectors previously less related to technology, such as healthcare and finance, the ethical and legal issues surrounding data ownership and access have become even more pressing [6].”
BackgroundAccess Control Policy Combination from Similarity Analysis for Secure Privacy-Preserved EHR Systems
Rezaeibagha, F., & Mu, Y. (2017) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · doi:10.1109/trustcom/bigdatase/icess.2017.262 · Cited by 4
“RBAC is the most common access control model in healthcare systems [12], however, ABAC has been a desired option due to its flexibility in the policy descriptions.”
BackgroundCleaning up the paper trail – our clinical notes in open view
Lambe, G., Linnane, N., Callanan, I., & Butler, M. W. (2018) · International Journal of Health Care Quality Assurance · doi:10.1108/ijhcqa-09-2016-0126 · Cited by 4
Multi-Level Security in Healthcare Using a Lattice-Based Access Control Model
Demurjian, S. A., Sanzi, E., Agresta, T. P., & Yasnoff, W. A. (2018) · International Journal of Privacy and Health Information Management · doi:10.4018/ijphim.2019010105 · Cited by 4
The Current State of Electronic Consent Systems in e-Health for Privacy Preservation
Zazaza, L., Venter, H. S., & Sibiya, G. (2019) · Communications in computer and information science · doi:10.1007/978-3-030-11407-7_6 · Cited by 4
Towards controlled-privacy in e-health: A comparative study
Sadki, S., & Bakkali, H. E. (2014) · doi:10.1109/icmcs.2014.6911323 · Cited by 4
Singh, A., Dutta, M. K., Přinosil, J., & Říha, K. (2016) · International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) · doi:10.1109/icumt.2016.7765394 · Cited by 4
“[1]-[2].”
EMR Access and Confidentiality Based on Patient and Hospital Staff Perspectives
Dhillon, K., Tan, E., Akseer, R., Alhosani, M. S., Ho, G. F., Lim, S. H. E., & Jamaludin, A. N. S. J. (2018) · The Open Public Health Journal · doi:10.2174/1874944501811010533 · Cited by 5
“Hence, staff’s compliance with the policy and their upholding of ethical values are also essential in maintaining the confidentiality of patient’s information [61].”
BackgroundDesign and Development of Case Studies in Security and Privacy for Health Informatics Education
Amro, B., Al-Jabari, M., Jabareen, H. M., Khader, Y. S., & Taweel, A. (2018) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa.2018.8612876 · Cited by 4
“The transition process from paper-based model to an electronic health record model in health informatics raised many challenges including privacy, and security [4].”
A Secure and Energy Efficient Resource Allocation Scheme for Wireless Body Area Network
Abiramy, N. V., Smilarubavathy, G., Nidhya, R., & Kumar, D. A. (2018) · International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · doi:10.1109/i-smac.2018.8653789 · Cited by 4
Entity Resolution for Maintaining Electronic Medical Record Using OYSTER
Gupta, T., & Deshpande, V. (2019) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-19562-5_5 · Cited by 4
Electronic Medical Record Implementation Challenges for the National Health System in Greece
Katehakis, D. G. (2019) · IGI Global eBooks · doi:10.4018/978-1-7998-1204-3.ch072 · Cited by 4
Automation and Robotics in Pharmaceutical Industry
Ullangula, L. (2025) · Journal of Modern Techniques in Biology and Allied Sciences · doi:10.70604/jmtbas.v2i1.51 · Cited by 3
Evaluating IoT Data Security Metrics and Emerging Trends
Taherdoost, H., Mohamed, N. A., & Farhaoui, Y. (2025) · International Journal of Service Science Management Engineering and Technology · doi:10.4018/ijssmet.388708 · Cited by 3
Blockchain for security and privacy in the smart healthcare
Chowdhury, S., Ranaweera, P. S., & Jurcut, A. D. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-30300-5.00025-7 · Cited by 3
Villa, L. B., Cabezas, I., & Cruz, J. (2015) · Computing Colombian Conference · doi:10.1109/columbiancc.2015.7333471 · Cited by 3
Challenges in Designing Software Architectures for Web-Based Biomedical Signal Analysis
Jović, A., Jozić, K., Kukolja, D., Friganović, K., & Cifrek, M. (2018) · CRC Press eBooks · doi:10.1201/9781351030380-4 · Cited by 3
“User roles are the usual mechanism used to prevent unauthorized user to access confidential data and to prevent damage to a database [90].”
BackgroundMisra, S. C., Kumar, A., & Munnangi, A. K. (2019) · Security and Privacy · doi:10.1002/spy2.63 · Cited by 4
“60 Fernandez et al, Khalil et al, and Zineddine 17 , 30 , 64 have discussed the effects of such concerns on the adoption rate of cloud services in the healthcare domain.”
BackgroundUser Authentication Model for Securing E-Health System using Fingerprint Biometrics
Kwao, L., Ativi, W. X., Hayfron-Acquah, J. B., & Panford, J. K. (2019) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2019.11046 · Cited by 3
Cellier, L., & Ghernaouti, S. (2019) · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/healthcom46333.2019.9009588 · Cited by 3
“…of medical information and the importance of its protection, we recommend that each national data protection authority should, as long as the law allows, carry out audits to observe the reality of the protection of patient information and monitor the work of the data protection officers [19].”
BackgroundA Survey on Security & Privacy Design in e-Health
Ozkar, M., & Sandıkkaya, M. T. (2020) · doi:10.1109/ubmk50275.2020.9219372 · Cited by 3
An Ontology-based Compliance Audit Framework for Medical Data Sharing Across Europe
Rahmouni, H. B., & Munir, K. (2021) · The International Arab Journal of Information Technology · doi:10.34028/iajit/18/2/4 · Cited by 3
“This could be linked to the usage of exception-based access to data, which allow users to bypass system controls due to emergency cases and other unforeseen reasons [12], [39], and [23].”
BackgroundA Strategic Data Protection Plan for the Healthcare Industry-A Review
Mitra, A., Gochhait, S., Obaid, A. J., & Alkhafaji, M. A. (2023) · International Conference on Communication and Electronics Systems (ICCES) · doi:10.1109/icces57224.2023.10192830 · Cited by 4
“State-ofthe-art innovations are being introduced in the healthcare industry [1].”
BackgroundMchale, S., Murr, L., & Zhang, P. (2023) · International Conference on Medical and Health Informatics (ICMHI) · doi:10.1145/3608298.3608325 · Cited by 3
Privacy-Compliant Software Reuse in Early Development Phases: A Systematic Literature Review
Guber, J., & Reinhartz-Berger, I. (2023) · Information and Software Technology · doi:10.1016/j.infsof.2023.107351 · Cited by 5
Review of Qualitative Research Methods in Health Information System Studies
Park, K. J., & Moon, W. (2024) · Healthcare Informatics Research · doi:10.4258/hir.2024.30.1.16 · Cited by 4
“This has raised new ethical, pri-Table vacy, and trust issues [25,26].”
BackgroundAlhammad, N. J., Alajlani, M., Abd-Alrazaq, A. A., Arvanitis, T. N., & Epiphaniou, G. (2024) · JMIR Research Protocols · doi:10.2196/54933 · Cited by 4
“Fernández-Alemán et al [20] evaluated the psychosociocultural framework along with several sociodemographic features such as gender, age, and experience in their research.”
BackgroundSAFE-HEALTH: A Secure Framework for Advancing Edge-Based Health 5.0
Farhadighalati, N., Ghalaty, N. F., Nikghadam-Hojjati, S., Marchetti, E., & Barata, J. (2023) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot58464.2023.10539418 · Cited by 3
“Security and privacy concerns are one of the healthcare challenges that several academics have made a contribution to address [2], [5].”
BackgroundArtificial intelligence in diabetes management
Thomas, A., Gopi, V. P., & Francis, B. (2024) · Advances in Artificial Intelligence · doi:10.1016/b978-0-443-19073-5.00002-1 · Cited by 3
Adoption Factors for Crowdsourcing Based Medical Information Platforms
Blesik, T., & Bick, M. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-47650-6_14 · Cited by 3
A Qualitative Analysis of Information Privacy Concerns among Healthcare Employees
Rahim, F. A., Muruti, G., Ismail, Z., & Samy, G. N. (2018) · International Journal of Security and Its Applications · doi:10.14257/ijsia.2018.12.1.06 · Cited by 3
A survey of issues and solutions of health data management systems
Mondal, A., Neogy, S., Mukherjee, N., & Chattopadhyay, S. (2019) · Innovations in Systems and Software Engineering · doi:10.1007/s11334-019-00336-4 · Cited by 3
Quincozes, S. E., & Kazienko, J. F. (2019) · International Journal of E-Health and Medical Communications · doi:10.4018/ijehmc.2019100104 · Cited by 3
Sharma, R., & Hossain, M. M. (2019) · Indian Journal of Community Medicine · doi:10.4103/ijcm.ijcm_110_19 · Cited by 3
“Moreover, the entire world is moving toward a digital revolution where patient data and much confidential information can be manipulated, breaching the medical and legal boundaries, which can result in varying problems in coming days.[17]”
BackgroundNandikove, P., Mwaura, T. W., & Njuguna, S. (2018) · doi:10.9790/1959-0702073139 · Cited by 3
Secure eHealth‐Care Service on Self‐Organizing Software Platform
Jung, I. Y., Jang, G., & Kang, S.-J. (2014) · Mathematical Problems in Engineering · doi:10.1155/2014/350876 · Cited by 3
“The goal is to overcome Internet security risks [20, 21].”
BackgroundRossi, E. G., Fontelo, P. A., Ackerman, M. J., Pozzi, G., & Marceglia, S. R. F. (2015) · IEEE International Conference on Healthcare Informatics (ICHI) · doi:10.1109/ichi.2015.44 · Cited by 3
Electronic Health Record Architecture: A Systematic Review
Maryam, J., Rabiei, R., Asadi, F., & Moghaddasi, H. (2016) · Archives of Advances in Biosciences · doi:10.22037/jps.v7i3.13126 · Cited by 3
A secure architecture based on ubiquitous computing for medical records retrieval
Quincozes, S. E., & Kazienko, J. F. (2016) · Euro American Conference on Telematics and Information Systems · doi:10.1109/eatis.2016.7520106 · Cited by 3
“978-1-5090-2436-0/16/$31.00”
InfluentialTrust Profiling to Enable Adaptive Trust Negotiation in Mobile Devices
Sanzi, E., Demurjian, S. A., Agresta, T. P., & Murphy, A. (2016) · Advances in multimedia and interactive technologies book series · doi:10.4018/978-1-5225-0945-5.ch005 · Cited by 3
Sánchez, Y. K. R., Demurjian, S. A., & Gnirke, L. (2018) · Lecture notes in business information processing · doi:10.1007/978-3-319-93527-0_11 · Cited by 3
My Health Record and Emerging Cybersecurity Challenges in the Australian Digital Environment
Medhekar, A. (2021) · Advances in information security, privacy, and ethics book series · doi:10.4018/978-1-7998-6975-7.ch005 · Cited by 3
De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective
Anjum, M. M., Mohammed, N., & Jiang, X. (2021) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/3460120.3485354 · Cited by 4
The Performance of Educational Institutions Through the Electronic Records Management Systems
Mukred, M., & Yusof, Z. M. (2020) · Data Analytics in Medicine · doi:10.4018/978-1-7998-1204-3.ch079 · Cited by 1
Yi, X., Yang, X., Kelarev, A. V., Lam, K., & Tari, Z. (2022) · SpringerBriefs in applied sciences and technology · doi:10.1007/978-3-031-09670-9_5 · Cited by 3
Mjolnir: Breaking the Glass in a Publicly Verifiable Yet Private Manner
AlTawy, R., Galal, H. S., & Youssef, A. (2023) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2023.3244506 · Cited by 3
“Debates highlighting the discrepancy between privacy acts, consent provisions, and EHR access policies, either condone the current malleable system citing the critical nature of the information which often require unauthorized access [5], or argue that the EHR system serves government financial policies and a major re…”
BackgroundDaglis, T. (2023) · Healthcare Analytics · doi:10.1016/j.health.2023.100226 · Cited by 3
The Trend and Intellectual Structure of Digital Archives Research
Hsu, F., Lin, C.-M., & Fang, C.-T. (2015) · Journal of the Association for Information Systems · Cited by 3
Suominen, H., Müller, H., Lucila Ohno-machado, A., Salanterä, S., Schreier, G., & Hanlen, L. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1612.04902 · Cited by 3
“The most widely used legal frameworks in EHR information exchanges are the EC and US frameworks from 1995 and 2002, respectively [10].”
MethodElectronic Health Record (EHR) Diffusion and an Examination of Physician Resistance
MacIver, K., & Ngafeeson, M. N. (2017) · IGI Global eBooks · doi:10.4018/978-1-5225-2255-3.ch319 · Cited by 3
Mabaso, T. M. (2020) · Unisa Institutional Repository (University of South Africa) · Cited by 3
Siddiqui, M. U. H., & Majeed, F. (2023) · Preprints.org · doi:10.20944/preprints202310.0866.v1 · Cited by 2
Exploring Blockchain Solutions in Healthcare Data Management and Patient Data Privacy
Taherdoost, H. (2024) · Wiley eBooks · doi:10.1002/9781394287970.ch1 · Cited by 4
Landazábal, D. C., Vargas, Í., & Vázquez, M. L. (2024) · Digital Health · doi:10.1177/20552076241271854 · Cited by 4
“29 There are also assessments of the impact of EHR 30 and decision support systems 14 on patient safety and privacy.”
BackgroundThe rationality and morality of connecting quantum computers
Possati, L. M., & Vermaas, P. E. (2025) · Ethics and Information Technology · doi:10.1007/s10676-025-09840-7 · Cited by 2
“…over collection and use of health information are related to withholding of health information from healthcare providers (see Agaku et al., 2014; Gunter & Terry, 2005; Li et al., 2013; Fernández-Alemán et al., 2013; Narayanan & Shma-tikov, 2008; Shams et al., 2023; Pruski, 2023; Hull, 2023).”
Anitha, C., Celia, B., Karunkuzhali, D., Sujatha, S. N. N., Karkuzhali, S., & Parthiban, S. (2025) · International Conference on Communication, Security and Artificial Intelligence (ICCSAI) · doi:10.1109/iccsai64074.2025.11064576 · Cited by 2
“DDoS attacks, unauthorised access, and data tampering are common concerns in healthcare IoT systems, according to Fernández-Alemán et al. [13].”
Advancing context-specific urban indicators for African cities: a systematic review
Afinowi, T. A., & Monkam, N. (2025) · npj Urban Sustainability · doi:10.1038/s42949-025-00292-y · Cited by 2
“SLR “ attempts to collect all empirical evidence in a particular fi eld, to assess it critically and to obtain conclusions that summarise the research ” 101 (104 p.542).”
An Approach Towards Privacy and Security in Pervasive Healthcare System
Siddiqui, N., & Abbas, S. H. (2021) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-77746-3_6 · Cited by 2
A Framework for Project Risk Assessment in Telehealth
Sulis, E., Cordero, A., Donetti, S., Ferrero, P., & Violato, A. (2021) · IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies · doi:10.1109/chase52844.2021.00043 · Cited by 2
Reviewing the features and functionalities of contraception mPHRs
Kharbouch, M., Idri, A., Fernández‐Alemán, J. L., Redman, L. M., Toval, A., & Stelate, Y. (2022) · Health Policy and Technology · doi:10.1016/j.hlpt.2022.100633 · Cited by 2
Self-citationAski, V. J., Dhaka, V. S., Kumar, S., & Parashar, A. (2022) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-981-16-7610-9_72 · Cited by 2
A Comprehensive Consent Management System for Electronic Health Records in the Healthcare Ecosystem
Shrivastava, S., & Srikanth, T. K. (2023) · Advances in information security, privacy, and ethics book series · doi:10.4018/978-1-6684-5991-1.ch007 · Cited by 2
A Survey on Risks Involved in Wearable Devices
Pattanashetty, V. B., Badiger, P. B., Kulkarni, P. N., Joshi, A. A., & Suneeta, V. B. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-99-3250-4_53 · Cited by 2
Securable Personal Healthcare Record in Cloud Storage
Sandeep, D., Bhuvana, G., Aishwarya, T., Vivek, C., & Manikanta, K. (2023) · Asian Conference on Innovation in Technology (ASIANCON) · doi:10.1109/asiancon58793.2023.10270484 · Cited by 2
Hirschprung, R. S. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2262611 · Cited by 2
“…1998); security and privacy risks in e-commerce (Yazdanifard et al. 2011); security and privacy in the (IoT) internet of things (Maple 2017); purchasing technology (Ho-Sam-Sooi, Pieters, and Kroesen 2021); and the security and privacy of electronic health records (Fernández-Alemán et al. 2013).”
Current Status and Prospects of Physical Therapy Services Using Telerehabilitation
Yoo, K.-T. (2024) · Journal of the Korean Society of Physical Medicine · doi:10.13066/kspm.2024.19.2.47 · Cited by 3
Rotem, R., Galvin, D. M., Daykan, Y., Mi, Y., Tabirca, S., & O’Reilly, B. (2024) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/j.ejogrb.2024.07.009 · Cited by 2
Introduction to Blockchain Technology for Securing Healthcare
Murugeswari, K., Ganesan, G., & Ga, S. K. (2024) · Advances in healthcare information systems and administration book series · doi:10.4018/979-8-3693-7457-3.ch009 · Cited by 2
Discursive framework for a multi-disease digital health passport in Africa: a perspective
Towett, G., Snead, R. S., Marczika, J., & y Nogueira, I. P. (2024) · Globalization and Health · doi:10.1186/s12992-024-01067-3 · Cited by 2
“This granularity allows health-care providers, patients, and other stakeholders to access only specific health-related information or services they are authorized to view or modify based on their roles and responsibilities, [50] thereby minimizing unauthorized exposure of sensitive information.”
BackgroundSneha, & Raza, S. (2024) · The Springer series in applied machine learning · doi:10.1007/978-3-031-63821-3_9 · Cited by 2
Babu, C. V. S., V., G. M. A., Lokesh, S., Niranjan, A. K., & Manivannan, Y. (2024) · Advances in IT standards and standardization research (AISSR) book series/Advances in IT standards and standardization research series · doi:10.4018/979-8-3693-1686-3.ch008 · Cited by 2
Lebredo, H., & Gayo, J. E. L. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-30168-1.00023-2 · Cited by 2
Smart MedDB chain—An intelligent approach for data sharing in medical systems
Devi, M. P., Govindasamy, B. R., Thandavan, S., Gowrishankar, V., & Savarimuthu, N. (2025) · Innovation and Emerging Technologies · doi:10.1142/s2737599425400018 · Cited by 2
Exploring the current and future role of ICTS in HIV/AIDS intervention programs in South Africa
Osunyomi, B. D., & Grobbelaar, S. S. S. (2014) · Portland International Conference on Management of Engineering and Technology (PICMET) · Cited by 2
Kamoun, F., & Nicho, M. (2018) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-5225-5460-8.ch004 · Cited by 2
“Health information is considered among the most confidential of all types of personal information (Fernández-Alemán et al, 2013).”
BackgroundAn improved electronic medical record system (IEMRS) using oblivious transfer
Liu, Y., & Yan-ping, W. (2019) · Journal of the Chinese Institute of Engineers · doi:10.1080/02533839.2018.1537754 · Cited by 2
“In 2010, the Member States of the European Union also announced their EMRS project (Fernández-Alemán et al. 2013).”
Background[Continuity of nutritional care at discharge in the era of ICT].
Olmos, M. Á. M. (2015) · PubMed · doi:10.3305/nh.2015.31.sup5.9129 · Cited by 2
Seacat: an sdn end-to-end containment architecture
Kano, M. (2016) · doi:10.26053/0h-gp35-j800 · Cited by 2
Privacy provision in eHealth using external services
Jaime, D., & Silvia, L. (2015) · Studies in health technology and informatics · doi:10.3233/978-1-61499-512-8-823 · Cited by 2
A Framework for Evaluating the Tension between Sharing and Protecting Health Information
Anderson, C. S., Baskerville, R., & Kaul, M. (2017) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2017.440 · Cited by 3
“Fundamental goals for information security include the confidentiality, availability, and integrity of data and the development of controls to support those goals [14, 3].”
BackgroundHow Do Users of Activity Tracking Technologies Perceive the Data Privacy Environment in the EU?
Fietkiewicz, K. J., & Ilhan, A. (2020) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) · doi:10.5281/zenodo.3726809 · Cited by 2
Wearable Devices and Measurement Data: An Empirical Study on eHealth and Data Sharing
Alaqra, A. S., & Kane, B. T. (2020) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms49503.2020.00090 · Cited by 2
“Having health data, such as PHRs, present in cloud portals, there are privacy risks and concerns to be addressed [16], [19], [24], [25].”
BackgroundAliyu, F., Wimmer, H., Powell, L. M., & Rebman, C. M. (2021) · Journal of Information Systems Applied Research and Analytics · doi:10.62273/ioal3342 · Cited by 2
A Hybrid Approach for Protecting Clinical and Genomic Data Using Lossless Stego-DNA Compression
Farahat, M. A., Abdo, A., & Kassim, S. K. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-90318-3_48 · Cited by 2
Das, A., Anand, R. K., Dash, A., & Buddala, R. (2021) · Innovations in Power and Advanced Computing Technologies (i-PACT) · doi:10.1109/i-pact52855.2021.9696982 · Cited by 2
Role-Based Access Control for Mobile Computing and Applications
Sánchez, Y. K. R., Demurjian, S. A., Conover, J. C., Agresta, T. P., Shao, X., & Diamond, M. (2019) · IGI Global eBooks · doi:10.4018/978-1-7998-0417-8.ch013 · Cited by 2
Nursing Cadre Skill Development for AI-Enabled Hospitals
Aggarwal, D., Bansal, P., & Goyal, A. (2024) · Advances in healthcare information systems and administration book series · doi:10.4018/979-8-3693-5523-7.ch012 · Cited by 2
A Secured Hybrid Cloud Architecture for mHealth Care
Nagaty, K. (2015) · Springer series in bio-/neuroinformatics · doi:10.1007/978-3-319-12817-7_24 · Cited by 2
“Security also involves auditing, where an independent third party systematically examines medical records activities, unauthorized accesses, modifications and performance [22].”
BackgroundMattson, D. C., & Yang, J. (2013) · The Arts in Psychotherapy · doi:10.1016/j.aip.2013.08.002 · Cited by 2
De-Identification of Electronic Health Records Data
Borowik, P., Brylicki, P., Dzieciątko, M., Jęda, W., Leszewski, Ł., & Zając, P. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-23762-2_29 · Cited by 2
Privacy Preserving Machine Learning and Deep Learning Techniques
Asok, D., Chitra, P., & Muthurajan, B. (2019) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-5225-9902-9.ch012 · Cited by 2
Sá-Correia, L., Cruz-Correia, R. J., & Rodrigues, P. P. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.12.229 · Cited by 2
Iyamu, T., & Shaanika, I. N. (2020) · Information Resources Management Journal · doi:10.4018/irmj.2020070104 · Cited by 2
Alanezi, M. A. (2021) · International Journal of Online and Biomedical Engineering (iJOE) · doi:10.3991/ijoe.v17i11.25347 · Cited by 2
Methodological support to develop interoperable applications for pervasive healthcare
de Moraes, J. L. C. (2014) · doi:10.3990/1.9789036537292 · Cited by 2
Privacy in the Internet of Things: Where do We Stand? A Systematic Literature ReviewPreprint
Gupta, S., & Ghanavati, S. (2022) · doi:10.36227/techrxiv.19874329 · Cited by 2
Privacy in the Internet of Things: Where do We Stand? A Systematic Literature ReviewPreprint
Gupta, S., & Ghanavati, S. (2022) · doi:10.36227/techrxiv.19874329.v1 · Cited by 2
Metadata
- Authors
- Fernández-Alemán, J. L., Señor, I. C., Lozoya, P. Á. O., & Toval, A.
- Affiliations
- Universidad de Murcia (ES)
- Corresponding author
- Señor, Inmaculada Carrión
- ORCID
- Toval, Ambrosio
- Venue
- Journal of Biomedical Informatics
- Publisher
- Elsevier BV
- Published
- 2013-06
- Volume
- 46
- Issue
- 3
- Pages
- 541-562
- ISSN
- 1532-0464 (ISSN-L)
- OpenAlex
- W2128232860
- Cited by
- 675
- References
- 127
- Citations by year
- 2026: 23 · 2025: 39 · 2024: 72 · 2023: 59 · 2022: 46 · 2021: 59 · 2020: 57 · 2019: 82 · 2018: 57 · 2017: 48 · 2016: 56 · 2015: 38 · 2014: 29 · 2013: 10
- FWCI
- 7.79
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Biomedical Informatics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Spanish Ministry of Science and Technology (TIN2009-13718-C02-01, TIN2009-13718-C02-02)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Physical Sciences › Computer Science › Computer Networks and Communications › Access Control and Trust
- Health Sciences › Health Professions › Health Information Management › Thoreau and American Literature
- Keywords
- electronic health records, health information security, privacy, HIPAA, Data Protection Directive 95/46/EC, public key infrastructure, digital signatures, pseudo-anonymity, role-based access control, access control, audit logging, user authentication
- MeSH terms
- Europe, United States, Computer Security, Privacy, Health Insurance Portability and Accountability Act, Electronic Health Records
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