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1.
BMC Med Inform Decis Mak ; 24(1): 153, 2024 Jun 04.
Artigo em Inglês | MEDLINE | ID: mdl-38831390

RESUMO

BACKGROUND: The increased application of Internet of Things (IoT) in healthcare, has fueled concerns regarding the security and privacy of patient data. Lightweight Cryptography (LWC) algorithms can be seen as a potential solution to address this concern. Due to the high variation of LWC, the primary objective of this study was to identify a suitable yet effective algorithm for securing sensitive patient information on IoT devices. METHODS: This study evaluates the performance of eight LWC algorithms-AES, PRESENT, MSEA, LEA, XTEA, SIMON, PRINCE, and RECTANGLE-using machine learning models. Experiments were conducted on a Raspberry Pi 3 microcontroller using 16 KB to 2048 KB files. Machine learning models were trained and tested for each LWC algorithm and their performance was evaluated based using precision, recall, F1-score, and accuracy metrics. RESULTS: The study analyzed the encryption/decryption execution time, energy consumption, memory usage, and throughput of eight LWC algorithms. The RECTANGLE algorithm was identified as the most suitable and efficient LWC algorithm for IoT in healthcare due to its speed, efficiency, simplicity, and flexibility. CONCLUSIONS: This research addresses security and privacy concerns in IoT healthcare and identifies key performance factors of LWC algorithms utilizing the SLR research methodology. Furthermore, the study provides insights into the optimal choice of LWC algorithm for enhancing privacy and security in IoT healthcare environments.


Assuntos
Segurança Computacional , Internet das Coisas , Aprendizado de Máquina , Humanos , Segurança Computacional/normas , Algoritmos , Confidencialidade/normas
2.
Sensors (Basel) ; 24(11)2024 May 24.
Artigo em Inglês | MEDLINE | ID: mdl-38894166

RESUMO

The healthcare industry went through reformation by integrating the Internet of Medical Things (IoMT) to enable data harnessing by transmission mediums from different devices, about patients to healthcare staff devices, for further analysis through cloud-based servers for proper diagnosis of patients, yielding efficient and accurate results. However, IoMT technology is accompanied by a set of drawbacks in terms of security risks and vulnerabilities, such as violating and exposing patients' sensitive and confidential data. Further, the network traffic data is prone to interception attacks caused by a wireless type of communication and alteration of data, which could cause unwanted outcomes. The advocated scheme provides insight into a robust Intrusion Detection System (IDS) for IoMT networks. It leverages a honeypot to divert attackers away from critical systems, reducing the attack surface. Additionally, the IDS employs an ensemble method combining Logistic Regression and K-Nearest Neighbor algorithms. This approach harnesses the strengths of both algorithms to improve attack detection accuracy and robustness. This work analyzes the impact, performance, accuracy, and precision outcomes of the used model on two IoMT-related datasets which contain multiple attack types such as Man-In-The-Middle (MITM), Data Injection, and Distributed Denial of Services (DDOS). The yielded results showed that the proposed ensemble method was effective in detecting intrusion attempts and classifying them as attacks or normal network traffic, with a high accuracy of 92.5% for the first dataset and 99.54% for the second dataset and a precision of 96.74% for the first dataset and 99.228% for the second dataset.


Assuntos
Algoritmos , Segurança Computacional , Atenção à Saúde , Internet das Coisas , Humanos , Tecnologia sem Fio , Computação em Nuvem , Confidencialidade
3.
Cien Saude Colet ; 29(6): e02102023, 2024 Jun.
Artigo em Português | MEDLINE | ID: mdl-38896666

RESUMO

This article analyzes practices of care and the HIV diagnosis disclosure process to children and adolescents living with HIV/AIDS. A case study was conducted in an outpatient clinic located in a public hospital in Rio de Janeiro through participant observation, semi-structured interviews with health professionals, and the consultation of documents produced by the professionals. The analysis, based on the sociology of Simmel and Goffman, points to the revelation of the diagnosis as a hallmark that accompanies all the care established with users and sheds light on issues such as secrecy, stigma and the possible understandings about the health condition established. As a result, institutionalized relationships contribute to a progressive contact with the condition of bearing a stigma and enable phases of a patient's life protected by information to exist.


O artigo analisa as práticas de cuidado e o processo de revelação do diagnóstico a crianças e adolescentes vivendo com HIV/Aids. Foi realizado um estudo de caso em um ambulatório localizado em um hospital público do Rio de Janeiro (RJ), através de observação participante, entrevistas semiestruturadas com profissionais de saúde e consulta a documentos produzidos pelos profissionais. A análise, baseada na sociologia de Simmel e Goffman, aponta a revelação do diagnóstico como uma marca que acompanha todo o cuidado estabelecido com os usuários e dá luz a questões como o segredo, o estigma e as possíveis compreensões acerca da condição de saúde estabelecidas. Com isso, as relações institucionalizadas contribuem para um progressivo contato com a condição de portador de um estigma e fazem existir fases de uma carreira de doente protegido pela informação.


Assuntos
Síndrome da Imunodeficiência Adquirida , Confidencialidade , Infecções por HIV , Estigma Social , Humanos , Adolescente , Infecções por HIV/psicologia , Infecções por HIV/terapia , Criança , Síndrome da Imunodeficiência Adquirida/psicologia , Síndrome da Imunodeficiência Adquirida/terapia , Masculino , Feminino , Revelação da Verdade
4.
BMC Med Inform Decis Mak ; 24(1): 170, 2024 Jun 17.
Artigo em Inglês | MEDLINE | ID: mdl-38886772

RESUMO

BACKGROUND: Artificial intelligence (AI) has become a pivotal tool in advancing contemporary personalised medicine, with the goal of tailoring treatments to individual patient conditions. This has heightened the demand for access to diverse data from clinical practice and daily life for research, posing challenges due to the sensitive nature of medical information, including genetics and health conditions. Regulations like the Health Insurance Portability and Accountability Act (HIPAA) in the U.S. and the General Data Protection Regulation (GDPR) in Europe aim to strike a balance between data security, privacy, and the imperative for access. RESULTS: We present the Gemelli Generator - Real World Data (GEN-RWD) Sandbox, a modular multi-agent platform designed for distributed analytics in healthcare. Its primary objective is to empower external researchers to leverage hospital data while upholding privacy and ownership, obviating the need for direct data sharing. Docker compatibility adds an extra layer of flexibility, and scalability is assured through modular design, facilitating combinations of Proxy and Processor modules with various graphical interfaces. Security and reliability are reinforced through components like Identity and Access Management (IAM) agent, and a Blockchain-based notarisation module. Certification processes verify the identities of information senders and receivers. CONCLUSIONS: The GEN-RWD Sandbox architecture achieves a good level of usability while ensuring a blend of flexibility, scalability, and security. Featuring a user-friendly graphical interface catering to diverse technical expertise, its external accessibility enables personnel outside the hospital to use the platform. Overall, the GEN-RWD Sandbox emerges as a comprehensive solution for healthcare distributed analytics, maintaining a delicate equilibrium between accessibility, scalability, and security.


Assuntos
Segurança Computacional , Confidencialidade , Humanos , Segurança Computacional/normas , Confidencialidade/normas , Inteligência Artificial , Hospitais
5.
BMC Med Inform Decis Mak ; 24(1): 167, 2024 Jun 14.
Artigo em Inglês | MEDLINE | ID: mdl-38877563

RESUMO

BACKGROUND: Consider a setting where multiple parties holding sensitive data aim to collaboratively learn population level statistics, but pooling the sensitive data sets is not possible due to privacy concerns and parties are unable to engage in centrally coordinated joint computation. We study the feasibility of combining privacy preserving synthetic data sets in place of the original data for collaborative learning on real-world health data from the UK Biobank. METHODS: We perform an empirical evaluation based on an existing prospective cohort study from the literature. Multiple parties were simulated by splitting the UK Biobank cohort along assessment centers, for which we generate synthetic data using differentially private generative modelling techniques. We then apply the original study's Poisson regression analysis on the combined synthetic data sets and evaluate the effects of 1) the size of local data set, 2) the number of participating parties, and 3) local shifts in distributions, on the obtained likelihood scores. RESULTS: We discover that parties engaging in the collaborative learning via shared synthetic data obtain more accurate estimates of the regression parameters compared to using only their local data. This finding extends to the difficult case of small heterogeneous data sets. Furthermore, the more parties participate, the larger and more consistent the improvements become up to a certain limit. Finally, we find that data sharing can especially help parties whose data contain underrepresented groups to perform better-adjusted analysis for said groups. CONCLUSIONS: Based on our results we conclude that sharing of synthetic data is a viable method for enabling learning from sensitive data without violating privacy constraints even if individual data sets are small or do not represent the overall population well. Lack of access to distributed sensitive data is often a bottleneck in biomedical research, which our study shows can be alleviated with privacy-preserving collaborative learning methods.


Assuntos
Disseminação de Informação , Humanos , Reino Unido , Comportamento Cooperativo , Confidencialidade/normas , Privacidade , Bancos de Espécimes Biológicos , Estudos Prospectivos
6.
JMIR Mhealth Uhealth ; 12: e55061, 2024 Jun 21.
Artigo em Inglês | MEDLINE | ID: mdl-38904994

RESUMO

BACKGROUND: Hospital apps are increasingly being adopted in many countries, especially since the start of the COVID-19 pandemic. Web-based hospitals can provide valuable medical services and enhanced accessibility. However, increasing concerns about personal information (PI) and strict legal compliance requirements necessitate privacy assessments for these platforms. Guided by the theory of contextual integrity, this study investigates the regulatory compliance of privacy policies for internet hospital apps in the mainland of China. OBJECTIVE: In this paper, we aim to evaluate the regulatory compliance of privacy policies of internet hospital apps in the mainland of China and offer recommendations for improvement. METHODS: We obtained 59 internet hospital apps on November 7, 2023, and reviewed 52 privacy policies available between November 8 and 23, 2023. We developed a 3-level indicator scale based on the information processing activities, as stipulated in relevant regulations. The scale comprised 7 level-1 indicators, 26 level-2 indicators, and 70 level-3 indicators. RESULTS: The mean compliance score of the 52 assessed apps was 73/100 (SD 22.4%), revealing a varied spectrum of compliance. Sensitive PI protection compliance (mean 73.9%, SD 24.2%) lagged behind general PI protection (mean 90.4%, SD 14.7%), with only 12 apps requiring separate consent for processing sensitive PI (mean 73.9%, SD 24.2%). Although most apps (n=41, 79%) committed to supervising subcontractors, only a quarter (n=13, 25%) required users' explicit consent for subcontracting activities. Concerning PI storage security (mean 71.2%, SD 29.3%) and incident management (mean 71.8%, SD 36.6%), half of the assessed apps (n=27, 52%) committed to bear corresponding legal responsibility, whereas fewer than half (n=24, 46%) specified the security level obtained. Most privacy policies stated the PI retention period (n=40, 77%) and instances of PI deletion or anonymization (n=41, 79%), but fewer (n=20, 38.5%) committed to prompt third-party PI deletion. Most apps delineated various individual rights, but only a fraction addressed the rights to obtain copies (n=22, 42%) or to refuse advertisement based on automated decision-making (n=13, 25%). Significant deficiencies remained in regular compliance audits (mean 11.5%, SD 37.8%), impact assessments (mean 13.5%, SD 15.2%), and PI officer disclosure (mean 48.1%, SD 49.3%). CONCLUSIONS: Our analysis revealed both strengths and significant shortcomings in the compliance of internet hospital apps' privacy policies with relevant regulations. As China continues to implement internet hospital apps, it should ensure the informed consent of users for PI processing activities, enhance compliance levels of relevant privacy policies, and fortify PI protection enforcement across the information processing stages.


Assuntos
Aplicativos Móveis , China , Humanos , Aplicativos Móveis/normas , Aplicativos Móveis/estatística & dados numéricos , Aplicativos Móveis/legislação & jurisprudência , Segurança Computacional/normas , Segurança Computacional/legislação & jurisprudência , COVID-19/prevenção & controle , COVID-19/epidemiologia , Confidencialidade/normas , Confidencialidade/legislação & jurisprudência , Internet , Pandemias/prevenção & controle
7.
J Law Health ; 37(3): 249-363, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38833606

RESUMO

Attorney-client privilege was held by the Supreme Court to extend beyond death in 1996, albeit only ratifying centuries of accepted practice in the lower courts and England before them. But with the lawyer's client dead, the natural outcome of such a rule is that privilege--the legal enforcement of secrecy--will persist forever, for only the dead client could ever have waived and thus end it. Perpetuity is not traditionally favored by the law for good reason, and yet a long and broad line of precedent endorses its application to privilege. The recent emergence of a novel species of privilege for psychotherapy, however, affords an opportunity to take a fresh look at the long-tolerated enigma of eternity and the imprudence of thoughtlessly importing it to the newest addition to the family of privileges. Frankly, humanity has always deserved better than legalisms arrogating to the inscrutability of the infinite.


Assuntos
Confidencialidade , Humanos , Confidencialidade/legislação & jurisprudência , Psicoterapia/legislação & jurisprudência , Psicoterapeutas , Estados Unidos , Privilégios do Corpo Clínico/legislação & jurisprudência
8.
Addict Sci Clin Pract ; 19(1): 48, 2024 Jun 07.
Artigo em Inglês | MEDLINE | ID: mdl-38849888

RESUMO

BACKGROUND: Regulations put in place to protect the privacy of individuals receiving substance use disorder (SUD) treatment have resulted in an unintended consequence of siloed SUD treatment and referral information outside of the integrated electronic health record (EHR). Recent revisions to these regulations have opened the door to data integration, which creates opportunities for enhanced patient care and more efficient workflows. We report on the experience of one safety-net hospital system integrating SUD treatment data into the EHR. METHODS: SUD treatment and referral information was integrated from siloed systems into the EHR through the implementation of a referral order, treatment episode definition, and referral and episode-related tools for addiction therapists and other clinicians. Integration was evaluated by monitoring SUD treatment episode characteristics, patient characteristics, referral linkage, and treatment episode retention before and after integration. Satisfaction of end-users with the new tools was evaluated through a survey of addiction therapists. RESULTS: After integration, three more SUD treatment programs were represented in the EHR. This increased the number of patients that could be tracked as initiating SUD treatment by 250%, from 562 before to 1,411 after integration. After integration, overall referral linkage declined (74% vs. 48%) and treatment episode retention at 90-days was higher (45% vs. 74%). Addiction therapists appreciated the efficiency of having all SUD treatment information in the EHR but did not find that the tools provided a large time savings shortly after integration. CONCLUSIONS: Integration of SUD treatment program data into the EHR facilitated both care coordination in patient treatment and quality improvement initiatives for treatment programs. Referral linkage and retention rates were likely modified by a broader capture of patients and changed outcome definition criteria. Greater preparatory workflow analysis may decrease initial end-user burden. Integration of siloed data, made possible given revised regulations, is essential to an efficient hub-and-spoke model of care, which must standardize and coordinate patient care across multiple clinics and departments.


Assuntos
Registros Eletrônicos de Saúde , Encaminhamento e Consulta , Provedores de Redes de Segurança , Transtornos Relacionados ao Uso de Substâncias , Humanos , Transtornos Relacionados ao Uso de Substâncias/terapia , Provedores de Redes de Segurança/organização & administração , Encaminhamento e Consulta/organização & administração , Masculino , Feminino , Adulto , Confidencialidade
9.
J Med Internet Res ; 26: e50715, 2024 May 31.
Artigo em Inglês | MEDLINE | ID: mdl-38820572

RESUMO

BACKGROUND: Mobile health (mHealth) apps have the potential to enhance health care service delivery. However, concerns regarding patients' confidentiality, privacy, and security consistently affect the adoption of mHealth apps. Despite this, no review has comprehensively summarized the findings of studies on this subject matter. OBJECTIVE: This systematic review aims to investigate patients' perspectives and awareness of the confidentiality, privacy, and security of the data collected through mHealth apps. METHODS: Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a comprehensive literature search was conducted in 3 electronic databases: PubMed, Ovid, and ScienceDirect. All the retrieved articles were screened according to specific inclusion criteria to select relevant articles published between 2014 and 2022. RESULTS: A total of 33 articles exploring mHealth patients' perspectives and awareness of data privacy, security, and confidentiality issues and the associated factors were included in this systematic review. Thematic analyses of the retrieved data led to the synthesis of 4 themes: concerns about data privacy, confidentiality, and security; awareness; facilitators and enablers; and associated factors. Patients showed discordant and concordant perspectives regarding data privacy, security, and confidentiality, as well as suggesting approaches to improve the use of mHealth apps (facilitators), such as protection of personal data, ensuring that health status or medical conditions are not mentioned, brief training or education on data security, and assuring data confidentiality and privacy. Similarly, awareness of the subject matter differed across the studies, suggesting the need to improve patients' awareness of data security and privacy. Older patients, those with a history of experiencing data breaches, and those belonging to the higher-income class were more likely to raise concerns about the data security and privacy of mHealth apps. These concerns were not frequent among patients with higher satisfaction levels and those who perceived the data type to be less sensitive. CONCLUSIONS: Patients expressed diverse views on mHealth apps' privacy, security, and confidentiality, with some of the issues raised affecting technology use. These findings may assist mHealth app developers and other stakeholders in improving patients' awareness and adjusting current privacy and security features in mHealth apps to enhance their adoption and use. TRIAL REGISTRATION: PROSPERO CRD42023456658; https://tinyurl.com/ytnjtmca.


Assuntos
Segurança Computacional , Confidencialidade , Aplicativos Móveis , Telemedicina , Humanos , Privacidade
10.
JAMA ; 331(21): 1801-1802, 2024 06 04.
Artigo em Inglês | MEDLINE | ID: mdl-38717760

RESUMO

This Viewpoint discusses the importance of researcher access to federal health care data following a CMS decision to limit the use of physical data and proposes solutions to maintain access and security.


Assuntos
Seguro Saúde , Humanos , Confidencialidade , Estados Unidos
13.
PLoS One ; 19(5): e0303802, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38768189

RESUMO

The innovative performance of manufacturing and service companies can be impacted by the existing relationship between open innovation (OI) and the generation of confidentiality agreements (NDAs) as a tool for the protection of intellectual property. Based on the analysis of a cross-sectional sample of 6,798 industrial companies (2019-2020) and 9,304 companies in the service sector (2017-2019) that are part of the directory of the National Administrative Department of Statistics (DANE) in its Technological Innovation and Development Survey (EDIT and EDITS), it can be suggested that the interaction of these two variables (OI and NDAs) generate positive effects for the manufacturing industry but negative ones for the service sector. It could be deduced that the positive effect is due to the greater tradition of OI in the manufacturing industry and the negative effect to the caution that the service sector presents when collaborating with external actors.


Assuntos
Confidencialidade , Humanos , Estudos Transversais , Indústria Manufatureira , Invenções , Propriedade Intelectual , Indústrias , Inquéritos e Questionários
14.
BMC Med Inform Decis Mak ; 24(1): 133, 2024 May 23.
Artigo em Inglês | MEDLINE | ID: mdl-38783250

RESUMO

The Australian healthcare sector is a complex mix of government departments, associations, providers, professionals, and consumers. Cybersecurity attacks, which have recently increased, challenge the sector in many ways; however, the best approaches for the sector to manage the threat are unclear. This study will report on a semi-structured focus group conducted with five representatives from the Australian healthcare and computer security sectors. An analysis of this focus group transcript yielded four themes: 1) the challenge of securing the Australian healthcare landscape; 2) the financial challenges of cybersecurity in healthcare; 3) balancing privacy and transparency; 4) education and regulation. The results indicate the need for sector-specific tools to empower the healthcare sector to mitigate cybersecurity threats, most notably using a self-evaluation tool so stakeholders can proactively prepare for incidents. Despite the vast amount of research into cybersecurity, little has been conducted on proactive cybersecurity approaches where security weaknesses are identified weaknesses before they occur.


Assuntos
Segurança Computacional , Segurança Computacional/normas , Humanos , Austrália , Grupos Focais , Atenção à Saúde/normas , Confidencialidade/normas
15.
Medicine (Baltimore) ; 103(21): e38330, 2024 May 24.
Artigo em Inglês | MEDLINE | ID: mdl-38788002

RESUMO

This paper examines the legal challenges associated with medical robots, including their legal status, liability in cases of malpractice, and concerns over patient data privacy and security. And this paper scrutinizes China's nuanced response to these dilemmas. An analysis of Chinese judicial practices and legislative actions reveals that current denial of legal personality to AI at this stage is commendable. To effectively control the financial risks associated with medical robots, there is an urgent need for clear guidelines on responsibility allocation for medical accidents involving medical robots, the implementation of strict data protection laws, and the strengthening of industry standards and regulations.


Assuntos
Responsabilidade Legal , Robótica , Humanos , China , Robótica/legislação & jurisprudência , Imperícia/legislação & jurisprudência , Segurança Computacional/legislação & jurisprudência , Confidencialidade/legislação & jurisprudência
16.
Trials ; 25(1): 310, 2024 May 08.
Artigo em Inglês | MEDLINE | ID: mdl-38720375

RESUMO

BACKGROUND: Use of electronic methods to support informed consent ('eConsent') is increasingly popular in clinical research. This commentary reports the approach taken to implement electronic consent methods and subsequent experiences from a range of studies at the Leeds Clinical Trials Research Unit (CTRU), a large clinical trials unit in the UK. MAIN TEXT: We implemented a remote eConsent process using the REDCap platform. The process can be used in trials of investigational medicinal products and other intervention types or research designs. Our standard eConsent system focuses on documenting informed consent, with other aspects of consent (e.g. providing information to potential participants and a recruiter discussing the study with each potential participant) occurring outside the system, though trial teams can use electronic methods for these activities where they have ethical approval. Our overall process includes a verbal consent step prior to confidential information being entered onto REDCap and an identity verification step in line with regulator guidance. We considered the regulatory requirements around the system's generation of source documents, how to ensure data protection standards were upheld and how to monitor informed consent within the system. We present four eConsent case studies from the CTRU: two randomised clinical trials and two other health research studies. These illustrate the ways eConsent can be implemented, and lessons learned, including about differences in uptake. CONCLUSIONS: We successfully implemented a remote eConsent process at the CTRU across multiple studies. Our case studies highlight benefits of study participants being able to give consent without having to be present at the study site. This may better align with patient preferences and trial site needs and therefore improve recruitment and resilience against external shocks (such as pandemics). Variation in uptake of eConsent may be influenced more by site-level factors than patient preferences, which may not align well with the aspiration towards patient-centred research. Our current process has some limitations, including the provision of all consent-related text in more than one language, and scalability of implementing more than one consent form version at a time. We consider how enhancements in CTRU processes, or external developments, might affect our approach.


Assuntos
Termos de Consentimento , Consentimento Livre e Esclarecido , Humanos , Confidencialidade , Ensaios Clínicos como Assunto/ética , Ensaios Clínicos como Assunto/métodos , Ensaios Clínicos Controlados Aleatórios como Assunto/ética , Ensaios Clínicos Controlados Aleatórios como Assunto/métodos , Sujeitos da Pesquisa/psicologia , Inglaterra , Projetos de Pesquisa
18.
J Clin Ethics ; 35(2): 85-92, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38728697

RESUMO

AbstractDespite broad ethical consensus supporting developmentally appropriate disclosure of health information to older children and adolescents, cases in which parents and caregivers request nondisclosure continue to pose moral dilemmas for clinicians. State laws vary considerably regarding adolescents' rights to autonomy, privacy, and confidentiality, with many states not specifically addressing adolescents' right to their own healthcare information. The requirements of the 21st Century Cures Act have raised important ethical concerns for pediatricians and adolescent healthcare professionals regarding the protection of adolescent privacy and confidentiality, given requirements that chart notes and results be made readily available to patients via electronic portals. Less addressed have been the implications of the act for adolescents' access to their health information, since many healthcare systems' electronic portals are available to patients beginning at age 12, sometimes requiring that the patients themselves authorize their parents' access to the same information. In this article, we present a challenging case of protracted disagreement about an adolescent's right to honest information regarding his devastating prognosis. We then review the legal framework governing adolescents' rights to their own healthcare information, the limitations of ethics consultation to resolve such disputes, and the potential for the Cures Act's impact on electronic medical record systems to provide one form of resolution. We conclude that although parents in cases like the one presented here have the legal right to consent to medical treatment on their children's behalf, they do not have a corresponding right to direct the withholding of medical information from the patient.


Assuntos
Confidencialidade , Pais , Humanos , Adolescente , Confidencialidade/legislação & jurisprudência , Confidencialidade/ética , Masculino , Estados Unidos , Revelação/legislação & jurisprudência , Revelação/ética , Autonomia Pessoal , Consentimento dos Pais/legislação & jurisprudência , Consentimento dos Pais/ética , Direitos do Paciente/legislação & jurisprudência , Criança , Privacidade/legislação & jurisprudência , Registros Eletrônicos de Saúde/ética , Registros Eletrônicos de Saúde/legislação & jurisprudência , Acesso à Informação/legislação & jurisprudência , Acesso à Informação/ética
19.
Stud Health Technol Inform ; 314: 147-148, 2024 May 23.
Artigo em Inglês | MEDLINE | ID: mdl-38785021

RESUMO

This paper explores the security, privacy, and ethical implications of e-health data in Iran's healthcare network. A framework is proposed to ensure security and privacy in electronic health information processing across various institutions. The framework addresses aspects such as software/hardware, communication networks, patient safety, privacy, confidentiality, online health service regulations, commercial and judicial exploitation, and education/research. The study categorizes these requirements into seven main categories to safeguard health-oriented service recipients' security and privacy.


Assuntos
Segurança Computacional , Confidencialidade , Registros Eletrônicos de Saúde , Irã (Geográfico) , Segurança Computacional/ética , Confidencialidade/ética , Registros Eletrônicos de Saúde/ética , Telemedicina/ética , Humanos
20.
Sci Rep ; 14(1): 11746, 2024 05 23.
Artigo em Inglês | MEDLINE | ID: mdl-38778050

RESUMO

With the rapid development of modern medical technology and the dramatic increase in the amount of medical data, traditional centralized medical information management is facing many challenges. In recent years blockchain, which is a peer-to-peer distributed database, has been increasingly accepted and adopted by different industries and use cases. Key areas of healthcare blockchain applications include electronic medical record (EMR) management, medical device supply chain management, remote condition monitoring, insurance claims and personal health data (PHD) management, among others. Even so, there are a number of challenges in applying blockchain concepts to healthcare and its data, including interoperability, data security privacy, scalability, TPS and so on. While these challenges may hinder the development of blockchain in healthcare scenarios, they can be improved with existing technologies In this paper, we propose a blockchain-based healthcare operations management framework that is combined with the Interplanetary File System (IPFS) for managing EMRs, protects data privacy through a distributed approach while ensuring that this medical ledger is tamper-proof. Doctors act as full nodes, patients can participate in network maintenance either as light nodes or as full nodes, and the hospital acts as the endpoint database of data, i.e., the IPFS node, which saves the arithmetic power of nodes and allows the data stored in the hospitals and departments to be shared with the other organizations that have uploaded the data. Therefore, the integration of blockchain and zero-knowledge proof proposed in this paper helps to protect data privacy and is efficient, better scalable, and more throughput.


Assuntos
Blockchain , Segurança Computacional , Confidencialidade , Registros Eletrônicos de Saúde , Humanos , Privacidade
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