scholarly journals Blockchain-based Electronic Health Records Management: A Comprehensive Review and Future Research Direction

IEEE Access ◽  
2022 ◽  
pp. 1-1
Author(s):  
Abdullah Al Mamun ◽  
Sami Azam ◽  
Clementine Gritti
2021 ◽  
Author(s):  
Xinyu Yang ◽  
Dongmei Mu ◽  
Hao Peng ◽  
Hua Li ◽  
Ying Wang ◽  
...  

BACKGROUND With the accumulation of electronic health records data and the development of artificial intelligence, patients with cancer urgently need new evidence of more personalized clinical and demographic characteristics and more sophisticated treatment and prevention strategies. However, no research has systematically analyzed the application and significance of electronic health records and artificial intelligence in cancer care. OBJECTIVE In this study, we reviewed the literature on the application of AI based on EHR data from patients with cancer, hoping to provide reference for subsequent researchers, and help accelerate the application of EHR data and AI technology in the field of cancer, so as to help patients get more scientific and accurate treatment. METHODS Three databases were systematically searched to retrieve potentially relevant articles published from January 2009 to October 2020. A combination of terms related to "electronic health records", "artificial intelligence" and "cancer" was used to search for these publications. RESULTS Of the 1034 articles considered, 148 met the inclusion criteria. The review has shown that ensemble methods and deep learning were on the rise. It presented the representative literatures on the subfield of cancer diagnosis, treatment and care. In addition, the vast majority of studies in this area were based on private institutional databases, resulting in poor portability of the proposed methodology process. CONCLUSIONS The use of new methods and electronic health records data sharing and fusion were recommended for future research. With the help of specialists, artificial intelligence and the mining of massive electronic medical records could provide great opportunities for improving cancer management.


2020 ◽  
Author(s):  
P. Moreno ◽  
G. Bastidas ◽  
P. Moreno

El avance de las tecnologías de la información ha permitido un cambio sustancial en el desarrollo de la Salud, por lo que el uso de estándares de telemedicina como el HL7 y CEN TC 251-13606 permiten que los sistemas de información médica se comuniquen vía mensajes estandarizados facilitando el uso de los mismos. El propósito de este estudio es crear una guía metodológica de intercambio electrónico de información clínica basada en el análisis de los estándares de telemedicina HL7 y CEN TC 251- 13606 para mejorar la eficiencia de la gestión de Historias Clínicas de los pacientes. La metodología consta de 2 fases, la primera plantea el diseño e implementación del modelo de referencia de la Historia Clínica Electrónica, el mismo que define entidades necesarias en la construcción de una Historia Clínica Electrónica, en la fase 2 se define la arquitectura de la historia clínica especificando la estructura y semántica del documento mediante el lenguaje XML, el cual se utiliza en los procesos de gestión de las historias clínicas electrónicas dentro del sistema médico desarrollado. Este sistema permite control clínico a distancia facilitando la interacción médico-paciente. El sistema posee una aplicación web, una aplicación de escritorio y una plataforma hardware e- Salud. La aplicación de la metodología planteada mejora la eficiencia de la gestión de historias clínicas, puesto que el 83.32% de los médicos de la clínica consideran que se agiliza el proceso de acceso, creación e ingreso de historias clínicas y reduce recursos en el proceso de control de pacientes domiciliarios. The advance of Information and Communication Technologies has improved Health Care in last years; by providing new ways of accessing medical information. In particular, the use of telemedicine standards such as HL7 and CENTC 251-13606 allows standard communication, integration, and retrieval of electronic health records among medical systems. This article aims to create a methodological guide for the electronic exchange of clinical information based on telemedicine standards in order to improve the efficiency of electronic health records management. The proposed methodology consists of two phases: The first one states the design and implementation of the reference model of an electronic health records, which defines entities of the electronic health record. In phase 2, this methodology describes electronic health records architecture. The architecture is defined by the structure and semantics of the document using XML. In order to test the proposed methodology, a medical system was implemented that consists of a web application, desktop application, and hardware platform e- Health. This system allows the electronic exchange of clinical information to ease patient-doctor interaction. The results show 83,32% of doctors at the clinic where the system was tested agree the proposed methodology for electronic exchange improves the efficiency of electronic health records management since it speeds up the process of creation and retrieval of an electronic health records. Moreover, the system reduces resources in the control of home patients. Palabras clave: Telemedicina, HCE, HL7, CENTC 251-13606, e-Salud. Keywords: Telemedicine, EHR, HL7, CENTC 251-13606, e-Health.


10.2196/13585 ◽  
2019 ◽  
Vol 21 (10) ◽  
pp. e13585 ◽  
Author(s):  
Jan Heinrich Beinke ◽  
Christian Fitte ◽  
Frank Teuteberg

Background Data security issues still constitute the main reason for the sluggish dissemination of electronic health records (EHRs). Given that blockchain technology offers the possibility to verify transactions through a decentralized network, it may serve as a solution to secure health-related data. Therefore, we have identified stakeholder-specific requirements and propose a blockchain-based architecture for EHRs, while referring to the already existing scientific discussions on the potential of blockchain for use in EHRs. Objective This study aimed to introduce blockchain technology for EHRs, based on identifying stakeholders and systematically eliciting their requirements, and to discuss the key benefits (KBs) and key challenges (KCs) of blockchain technology in the context of EHRs. Methods The blockchain-based architecture was developed in the framework of the design science research paradigm. The requirements were identified using a structured literature review and interviews with nine health care experts. Subsequently, the proposed architecture was evaluated using 4 workshops with 15 participants. Results We identified three major EHR stakeholder groups and 34 respective requirements. On this basis, we developed a five-layer architecture. The subsequent evaluation of the artifact was followed by the discussion of 12 KBs and 12 KCs of a blockchain-based architecture for EHRs. To address the KCs, we derived five recommendations for action for science and practice. Conclusions Our findings indicate that blockchain technology offers considerable potential to advance EHRs. Improvements to currently available EHR solutions are expected, for instance, in the areas of data security, traceability, and automation by smart contracts. Future research could examine the patient’s acceptance of blockchain-based EHRs and cost-benefit analyses.


2019 ◽  
Author(s):  
Jan Heinrich Beinke ◽  
Christian Fitte ◽  
Frank Teuteberg

BACKGROUND Data security issues still constitute the main reason for the sluggish dissemination of electronic health records (EHRs). Given that blockchain technology offers the possibility to verify transactions through a decentralized network, it may serve as a solution to secure health-related data. Therefore, we have identified stakeholder-specific requirements and propose a blockchain-based architecture for EHRs, while referring to the already existing scientific discussions on the potential of blockchain for use in EHRs. OBJECTIVE This study aimed to introduce blockchain technology for EHRs, based on identifying stakeholders and systematically eliciting their requirements, and to discuss the key benefits (KBs) and key challenges (KCs) of blockchain technology in the context of EHRs. METHODS The blockchain-based architecture was developed in the framework of the design science research paradigm. The requirements were identified using a structured literature review and interviews with nine health care experts. Subsequently, the proposed architecture was evaluated using 4 workshops with 15 participants. RESULTS We identified three major EHR stakeholder groups and 34 respective requirements. On this basis, we developed a five-layer architecture. The subsequent evaluation of the artifact was followed by the discussion of 12 KBs and 12 KCs of a blockchain-based architecture for EHRs. To address the KCs, we derived five recommendations for action for science and practice. CONCLUSIONS Our findings indicate that blockchain technology offers considerable potential to advance EHRs. Improvements to currently available EHR solutions are expected, for instance, in the areas of data security, traceability, and automation by smart contracts. Future research could examine the patient’s acceptance of blockchain-based EHRs and cost-benefit analyses.


Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5843
Author(s):  
Ilias Papastratis ◽  
Christos Chatzikonstantinou ◽  
Dimitrios Konstantinidis ◽  
Kosmas Dimitropoulos ◽  
Petros Daras

AI technologies can play an important role in breaking down the communication barriers of deaf or hearing-impaired people with other communities, contributing significantly to their social inclusion. Recent advances in both sensing technologies and AI algorithms have paved the way for the development of various applications aiming at fulfilling the needs of deaf and hearing-impaired communities. To this end, this survey aims to provide a comprehensive review of state-of-the-art methods in sign language capturing, recognition, translation and representation, pinpointing their advantages and limitations. In addition, the survey presents a number of applications, while it discusses the main challenges in the field of sign language technologies. Future research direction are also proposed in order to assist prospective researchers towards further advancing the field.


2017 ◽  
Vol 132 (4) ◽  
pp. 463-470 ◽  
Author(s):  
Maxwell J. Richardson ◽  
Stephen K. Van Den Eeden ◽  
Eric Roberts ◽  
Assiamira Ferrara ◽  
Susan Paulukonis ◽  
...  

Objectives: Electronic health records (EHRs) and electronic laboratory records (ELRs) are increasingly seen as a rich source of data for performing public health surveillance activities and monitoring community health status. Their potential for surveillance of chronic illness, however, may be underused. Our objectives were to (1) evaluate the use of EHRs and ELRs for diabetes surveillance in 2 California counties and (2) examine disparities in diabetes prevalence by geography, income, and race/ethnicity. Methods: We obtained data on a clinical diagnosis of diabetes and hemoglobin A1c (HbA1c) test results for adult members of Kaiser Permanente Northern California living in Contra Costa County or Solano County at any time during 2010-2014. We evaluated the validity of using HbA1c test results to determine diabetes prevalence, using clinical diagnoses as a gold standard. We estimated disparities in diabetes prevalence by combining HbA1c test results with US Census data on income, race, and ethnicity. Results: When compared with a clinical diagnosis of diabetes, data on a patient’s 5-year maximum HbA1c value ≥6.5% yielded the best combination of sensitivity (87.4%) and specificity (99.2%). The prevalence of 5-year maximum HbA1c ≥6.5% decreased with increasing median family income and increased with greater proportions of residents who were either non-Hispanic black or Hispanic. Conclusions: Timely diabetes surveillance data from ELRs can be used to document disparities, target interventions, and evaluate changes in population health. ELR data may be easier to access than a patient’s entire EHR, but outcome metric validation with diabetes diagnoses would need to be ongoing. Future research should validate ELR and EHR data across multiple providers.


BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e025965 ◽  
Author(s):  
Wikum Jayatunga ◽  
Philip Stone ◽  
Robert W Aldridge ◽  
Jennifer K Quint ◽  
Julie George

IntroductionAsthma and chronic obstructive pulmonary disease (COPD) are common respiratory conditions, which result in significant morbidity worldwide. These conditions are associated with a range of non-specific symptoms, which in themselves are a target for health research. Such research is increasingly being conducted using electronic health records (EHRs), but computable phenotype definitions, in the form of code sets or code lists, are required to extract structured data from these large routine databases in a systematic and reproducible way. The aim of this protocol is to specify a systematic review to identify code sets for respiratory symptoms in EHRs research.Methods and analysisMEDLINE and Embase databases will be searched using terms relating to EHRs, respiratory symptoms and use of code sets. The search will cover all English-language studies in these databases between January 1990 and December 2017. Two reviewers will independently screen identified studies for inclusion, and key data will be extracted into a uniform table, facilitating cross-comparison of codes used. Disagreements between the reviewers will be adjudicated by a third reviewer. This protocol has been produced in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol guidelines.Ethics and disseminationAs a review of previously published studies, no ethical approval is required. The results of this review will be submitted to a peer-reviewed journal for publication and can be used in future research into respiratory symptoms that uses electronic healthcare databases.PROSPERO registration numberCRD42018100830.


Author(s):  
Serena Luchenski ◽  
Sharon Clint ◽  
Rob Aldridge ◽  
Andrew Hayward ◽  
Nick Maguire ◽  
...  

ABSTRACTObjectivesWe held a public engagement workshop to involve people with lived experiences of homelessness and social exclusion, experts by experience (EBE), in our research. The purpose of the workshop was to provide context to the findings of a review series on Inclusion Health and to inform future research using electronic health records (EHRs) of homeless and socially excluded people. ApproachParticipants included 16 volunteers and one staff member from Groundswell (a registered charity that promotes inclusive solutions to homelessness), four academics, one clinical provider, and two note-takers/photographers. The full-day workshop was held at University College London. We used innovative participatory activities specifically designed for use with hidden and marginalised populations to stimulate open dialogue. Methods included general discussion, conceptual mapping, modelling, electronic voting, brainstorming, ranking, graphing, stakeholder analysis, and evaluation surveys. Activities were fast-paced and conducted in small groups, as the whole group, individually, or in pairs. The meaning of Inclusion Health, barriers that lead to exclusion, and values and actions that promote inclusion were discussed. Health statistics on homeless and other socially excluded groups were presented and informed conversations about EHR research, including data collection (new data versus collation of administrative data), data linkage, consent, anonymisation, data security, and ‘the surveillance society.’ ResultsNotes from the workshop and the evaluation surveys indicated that the workshop was engaging, inclusive, and successful. When clearly explained, EBE were positive towards research using EHRs to improve Inclusion Health, including data linkage of sensitive health and social data. EBE expressed that housing, advocacy, and psychosocial therapies were the most important interventions for improving health of people who are homeless; however, we found limited evidence for these interventions in our review. Overall, findings demonstrate the value of involving the people who have been socially excluded to develop research priorities and to interpret findings. ConclusionUsing a participatory and dynamic approach to involve people with lived experience of homelessness and exclusion is an effective public engagement methodology for complex topics such as EHR research and data linkage. Information provided in the workshop was useful for interpreting findings, identifying strengths and gaps in health and social services, and developing research and practice recommendations.


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