scholarly journals PatientDataChain: A Blockchain-Based Approach to Integrate Personal Health Records

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6538
Author(s):  
Alexandra Cernian ◽  
Bogdan Tiganoaia ◽  
Ioan Sacala ◽  
Adrian Pavel ◽  
Alin Iftemi
Keyword(s):  
Value Chain ◽  
Medical Records ◽  
Data Exchange ◽  
Healthcare Providers ◽  
Personal Health Records ◽  
Personal Health ◽  
Proof Of Concept ◽  
Health Records ◽  
Blockchain Technology ◽  
Novel Approach

Currently there is not a single trusted infrastructure used for the exchange and storage of medical data along the healthcare value chain and, thus, there is no platform used for monitoring patients’ traceability within the entire healthcare chain. This situation leads to difficult communication and increased procedural costs, and thus it limits healthcare players from developing a better understanding and know-how of patients’ traceability that could further boost innovation and development of the best-fitted health services. PatientDataChain blockchain-based technology is a novel approach, based on a decentralized healthcare infrastructure that incorporates a trust layer in the healthcare value chain. Our aim was to provide an integrated vision based on interoperability principles, that relies on the usage of specific sensors from various wearable devices, allowing us to collect specific data from patients’ medical records. Interconnecting different healthcare providers, the collected data is integrated into a unitary personal health records (PHR) system, where the patient is the owner of his/her data. The decentralized nature of PatientDataChain, based on blockchain technology, leveraged the proper context to create a novel and improved data-sharing and exchange system, which is secure, flexible, and reliable. This approach brings increased benefits to data confidentiality and privacy, while providing secure access to patient medical records. This paper presents the design, implementation, and experimental validation of our proposed system, called PatientDataChain. The original contributions of our paper include the definition of the concept of unifying the entire healthcare value chain, the design of the architectural model of the system, the development of the system components, as well as the validation through a proof of concept (PoC) conducted with a medical clinic from Bucharest, using a dataset of 100 patients and over 1000 transactions. The proof of concept demonstrated the feasibility of the model in integrating the personal health records from heterogeneous sources (healthcare systems and sensors) in a unified, decentralized PHR system, with enhanced data exchange among healthcare players.

scholarly journals Section 1: Health and Clinical Management: Leveraging Information Technology to Improve Quality and Safety

2007 ◽  
Vol 16 (01) ◽  
pp. 22-29
Author(s):  
D. W. Bates ◽  
J. S. Einbinder
Keyword(s):  
Information Technology ◽  
Patient Safety ◽  
Clinical Data ◽  
Data Exchange ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records ◽  
Provider Behavior ◽  
Published Research ◽  
Improve Patient

SummaryTo examine five areas that we will be central to informatics research in the years to come: changing provider behavior and improving outcomes, secondary uses of clinical data, using health information technology to improve patient safety, personal health records, and clinical data exchange.Potential articles were identified through Medline and Internet searches and were selected for inclusion in this review by the authors.We review highlights from the literature in these areas over the past year, drawing attention to key points and opportunities for future work.Informatics may be a key tool for helping to improve patient care quality, safety, and efficiency. However, questions remain about how best to use existing technologies, deploy new ones, and to evaluate the effects. A great deal of research has been done on changing provider behavior, but most work to date has shown that process benefits are easier to achieve than outcomes benefits, especially for chronic diseases. Use of secondary data (data warehouses and disease registries) has enormous potential, though published research is scarce. It is now clear in most nations that one of the key tools for improving patient safety will be information technology— many more studies of different approaches are needed in this area. Finally, both personal health records and clinical data exchange appear to be potentially transformative developments, but much of the published research to date on these topics appears to be taking place in the U.S.— more research from other nations is needed.

scholarly journals The Association of Mobile Health Applications with Self-Management Behaviors among Adults with Chronic Conditions in the United States

2021 ◽  
Vol 18 (19) ◽  
pp. 10351
Author(s):  
Hao Wang ◽  
Amy F. Ho ◽  
R. Constance Wiener ◽  
Usha Sambamoorthi
Keyword(s):  
United States ◽  
Chronic Conditions ◽  
Healthcare Providers ◽  
The United States ◽  
Personal Health Records ◽  
Self Management ◽  
Personal Health ◽  
Health Records ◽  
Mhealth Apps ◽  
Management Behaviors

Background: Mobile applications related to health and wellness (mHealth apps) are widely used to self-manage chronic conditions. However, research on whether mHealth apps facilitate self-management behaviors of individuals with chronic conditions is sparse. We aimed to evaluate the association of mHealth apps with different types of self-management behaviors among patients with chronic diseases in the United States. Methods: This is a cross-sectional observational study. We used data from adult participants (unweighted n = 2340) of the Health Information National Trends Survey in 2018 and 2019. We identified three self-management behaviors: (1) resource utilization using electronic personal health records; (2) treatment discussions with healthcare providers; and (3) making healthcare decisions. We analyzed the association of mHealth apps to self-management behaviors with multivariable logistic and ordinal regressions. Results: Overall, 59.8% of adults (unweighted number = 1327) used mHealth apps. Adults using mHealth apps were more likely to use personal health records (AOR = 3.11, 95% CI 2.26–4.28), contact healthcare providers using technology (AOR = 2.70, 95% CI 1.93–3.78), and make decisions on chronic disease management (AOR = 2.59, 95% CI 1.93–3.49). The mHealth apps were associated with higher levels of self-management involvement (AOR = 3.53, 95% CI 2.63–4.72). Conclusion: Among individuals with chronic conditions, having mHealth apps was associated with positive self-management behaviors.

scholarly journals Health Observation App for COVID-19 Symptom Tracking Integrated With Personal Health Records: Proof of Concept and Practical Use Study (Preprint)

2020 ◽  
Author(s):  
Keiichi Yamamoto ◽  
Tsubasa Takahashi ◽  
Miwa Urasaki ◽  
Yoichi Nagayasu ◽  
Tomonari Shimamoto ◽  
...  
Keyword(s):  
Public Health ◽  
Health Center ◽  
Health Management ◽  
Personal Health Records ◽  
Personal Health ◽  
Proof Of Concept ◽  
Epidemiological Investigation ◽  
Health Records ◽  
Public Health Center ◽  
The Public

BACKGROUND As a counter-cluster measure to prevent the spread of the infectious novel coronavirus disease (COVID-19), an efficient system for health observation outside the hospital is urgently required. Personal health records (PHRs) are suitable for the daily management of physical conditions. Importantly, there are no major differences between the items collected by daily health observation via PHR and the observation of items related to COVID-19. Until now, observations related to COVID-19 have been performed exclusively based on disease-specific items. Therefore, we hypothesize that PHRs would be suitable as a symptom-tracking tool for COVID-19. To this end, we integrated health observation items specific to COVID-19 with an existing PHR-based app. OBJECTIVE This study is conducted as a proof-of-concept study in a real-world setting to develop a PHR-based COVID-19 symptom-tracking app and to demonstrate the practical use of health observations for COVID-19 using a smartphone or tablet app integrated with PHRs. METHODS We applied the PHR-based health observation app within an active epidemiological investigation conducted by Wakayama City Public Health Center. At the public health center, a list is made of individuals who have been in close contact with known infected cases (health observers). Email addresses are used by the app when a health observer sends data to the public health center. Each health observer downloads the app and installs it on their smartphone. Self-observed health data are entered daily into the app. These data are then sent via the app by email at a designated time. Localized epidemiological officers can visualize the collected data using a spreadsheet macro and, thus, monitor the health condition of all health observers. RESULTS We used the app as part of an active epidemiological investigation executed at a public health center. During the investigation, 72 close contacts were discovered. Among them, 57 had adopted the use of the health observation app. Before the introduction of the app, all health observers would have been interviewed by telephone, a slow process that took four epidemiological officers more than 2 hours. After the introduction of the app, a single epidemiological officer can carry out health observations. The app was distributed for free beginning in early March, and by mid-May, it had been used by more than 20,280 users and 400 facilities and organizations across Japan. Currently, health observation of COVID-19 is socially recognized and has become one of the requirements for resuming social activities. CONCLUSIONS Health observation by PHRs for the purpose of improving health management can also be effectively applied as a measure against large-scale infectious diseases. Individual habits of improving awareness of personal health and the use of PHRs for daily health management are powerful armaments against the rapid spread of infectious diseases. Ultimately, similar actions may help to prevent the spread of COVID-19.

scholarly journals Blockchain and mortgage lending process: A study of people, process, and technology involved

2019 ◽  
Vol 7 (1) ◽  
pp. 53-66
Author(s):  
Azad Ali ◽  
David Smith
Keyword(s):  
Customer Relationship Management ◽  
Relationship Management ◽  
Mortgage Lending ◽  
Personal Health Records ◽  
Global Supply Chain ◽  
Customer Relationship ◽  
Personal Health ◽  
Health Records ◽  
Blockchain Technology ◽  
Mortgage Origination

Blockchain technology is on the rise and considered to be a revolutionary technology. It has been applied to many domains including personal health records, regulatory investigation, and global supply chain. Applications that may potentially benefit from blockchain technology are those, which involve multiple parties across the different organization, each performing a subset of many steps needed to complete a given transaction and involve different technologies. In addition, security and trust is a major concern. Given this, a good candidate for blockchain technology is mortgage lending. The purpose of this paper is to prepare a model that identifies different elements that are needed when applying blockchain technology in the mortgage origination process. This paper uses a popular framework used in customer relationship management (CRM) that combines three constructs: People, Process and Technology to develop the intended model.

Development of Personal Health Records (PHR) for Patiets with Malignancies Using Interactive Internet Service: Experience at National Center for Hematology in Moscow.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 1407-1407
Author(s):  
Nikita E Shklovskiy-Kordi ◽  
Boris V Zingerman ◽  
Lyuba Varticovski ◽  
Alexandra Kremenetskya ◽  
Andrei Vorobjov
Keyword(s):  
Medical Records ◽  
Medical Information ◽  
Conflicts Of Interest ◽  
Meaningful Use ◽  
Personal Health Records ◽  
National Standard ◽  
The Internet ◽  
Personal Health ◽  
Health Records ◽  
Internet Service

Abstract Abstract 1407 Poster Board I-429 Purpose. To compare the requirements of physicians and patients for the Internet interactive service which allows patients to manage their own medical records and communicate with physician via the Internet. Background. USA federal rule defining “the Meaningful Use of Electronic Health Records” is similar to that of the National Standard of Russian Federation “The Electronic Case History (EHR)”, operating since 2008. This National Standard was developed based on experience of EHR system at the National Center for Hematology in Moscow (NCH). In 2009, we started the Personal Health Records service (PHR service) that allows patients to manage their own medical records and have internet-based communication with physicians. Simple interface for patients which blocks the full capacity of the PHR service is similar to that of EHR system of NCH. It permits integrated data presentations on a uniform axis of time and access to additional information (reported to ASH in 2001). The PHR service raises question of “meaningful use” requirements not only for EHR provider organization, but for the service users - patients and doctors. Methods. Using questionnaires and interviews, we compared expectations and acceptance of the PHR service by doctors and their patients. Results and Discussion. Preliminary results indicate that doctors are more likely to use the PHR service than the System of HER. Although the entire format of PHR service is familiar to physicians at NCH, they mostly use its information capabilities (viewing the results of the analysis, making appointments for research and planning patient's visits). The patients use PHR service with great enthusiasm (increasing with younger age and higher level of education). The complexity of integration interfaces, which we leave for the patients in the second term, gives them more inspiration than that the physicians. However, few patients take seriously the responsibilities that exist in relation to the accurate maintenance of their records. Conclusion. PHR can be widely used if integration of sources for medical information and unification format can simplify the “manual” work of PHR management. Key Words: Telemedicine, PHR, EHR Disclosures: No relevant conflicts of interest to declare.

scholarly journals OpenPharma Blockchain on FHIR: An Interoperable Solution for Read-Only Health Records Exchange through Blockchain and Biometrics

2020 ◽  
Author(s):  
Gracie Carter ◽  
Ben Chevellereau ◽  
Hossain Shahriar ◽  
Sweta Sneha
Keyword(s):  
Information Exchange ◽  
Data Exchange ◽  
Identity Management ◽  
The United States ◽  
Distributed Applications ◽  
Proof Of Concept ◽  
Data Interoperability ◽  
Health Records ◽  
Blockchain Technology ◽  
Share Data

The healthcare system in the United States is unique. From payor to provider, patients have the freedom of choice. This creates a complicated and profitable paradigm of care. Legislation defines government expectations of data exchange; however, the methods are left to the discretion of the stakeholders. Today, devices and programs are not built to unified standards, thus they do not share data easily. This communication between software is known as interoperability. We address the health data interoperability by leveraging Fast Health Interoperable Resource (FHIR) standard, a viewer of FHIR called OpenPharma, and Blockchain technology. Our proof of concept, called “OpenPharma Blockchain on FHIR” (OBF), is interoperable by design and grants clinicians access to patient records using a combination of data standards, distributed applications, patient-driven identity management, and the Ethereum blockchain. OBF is a trustless, secure, decentralized, and vendor-independent method for information exchange. It is easy to implement and places the control of records with the patients.

scholarly journals Blockchain Personal Health Records: A Systematic Review (Preprint)

2020 ◽  
Author(s):  
Hao Sen Andrew Fang ◽  
Teng Hwee Tan ◽  
Yan Fang Cheryl Tan ◽  
Marcus Tan
Keyword(s):  
Systematic Review ◽  
Grey Literature ◽  
Data Access ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records ◽  
Blockchain Technology ◽  
Data Access Control ◽  
Collection Form ◽  
Permissioned Blockchains

BACKGROUND Blockchain technology has the potential to enable more secure, transparent and equitable data management. In the healthcare domain, it has been most frequently applied to electronic health records (EHRs). Apart from securely managing data, blockchain also has a significant advantage of distributing data access, control and ownership to the end-users. This attribute, among others, makes it especially appealing when used to power personal health records (PHRs). OBJECTIVE In this review, we aim to examine the current landscape, design choices and limitations of blockchain-based PHRs. METHODS Adopting the PRISMA guidelines, a cross-discipline systematic review was performed in July 2020 on all eligible articles, including grey literature, from the following eight databases: ACM, IEEE Xplore, MEDLINE, ScienceDirect, Scopus, SpringerLink, Web of Science and Google Scholar. Three reviewers independently performed a full-text review and data abstraction using a standardized data collection form. RESULTS 58 articles fulfilled the inclusion criteria. The review found that the blockchain PHR space has been maturing over the past five years, from purely conceptual ideas initially to an increasing trend of publications describing prototypes and even implementations. Although the eventual PHR application is purposed for the healthcare industry, majority of the articles came from Engineering or Computer Science publications. Among the blockchain PHRs described, permissioned blockchains and off-chain storage were the more common design choices. While eighteen articles described a tethered blockchain PHR, all of these were at the conceptual stage. CONCLUSIONS This review revealed that research interest in using blockchain for PHRs is increasing and that the space is maturing. With further experimentation, this trend will very likely lead to breakthroughs to address existing limitations which could ultimately accelerate the adoption of blockchain PHRs.

The Future of Oncology Care with Personal Health Records

2012 ◽  
pp. e66-e69 ◽  
Author(s):  
Henry Feldman ◽  
Elizabeth S. Rodriguez
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Medical Records ◽  
Clinical Information ◽  
Personal Health Records ◽  
Personal Health ◽  
Patient Portal ◽  
Care Providers ◽  
Health Records ◽  
Improve Patient

Overview: Personal health records (PHRs) and patients' access to their own clinical information through a patient portal are changing the patient-physician relationship. Historically, health care providers have been gatekeepers of patients' medical records. Now, these portals provide patients access to clinical information, electronic messaging with the clinical team, and appointment and billing information. This type of access supports patient empowerment by engaging patients in their own care. Patients desire online access to information. The health care industry, like any other, must respond to the needs of its consumers. Oncology practices face unique challenges to meeting this need because of the complex nature of medical records of patients with cancer. Health care providers worry about the consequences of patients receiving “bad news” online, thereby increasing patient anxiety. This anxiety may, in turn, increase providers' workload by creating additional calls or visits to the office. These valid concerns require careful consideration when implementing a PHR or patient portal into a practice. Providers will benefit from a clear understanding of actual compared with potential risks and benefits. Much of the concerns about the negative effect on providers' workload and the potential increase in patients' anxiety have not been borne out. On the other hand, the implementation strategy, governance structure, and end-user education are crucial components to ensuring success. Successful implementation of a PHR or patient portal affords the opportunity to improve patient satisfaction and increase efficiency in provider workflow. The possibility exists to improve patient outcomes by engaging the patient in decision making and follow through.

scholarly journals Assessing commercially available personal health records for home health

2016 ◽  
Vol 07 (02) ◽  
pp. 355-367 ◽  
Author(s):  
Yong Choi ◽  
George Demiris ◽  
Laura Kneale
Keyword(s):  
Information Needs ◽  
Medical Information ◽  
Healthcare Providers ◽  
Study Data ◽  
Home Health ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records ◽  
Home Health Nurses

SummaryHome health nurses and clients experience unmet information needs when transitioning from hospital to home health. Personal health records (PHRs) support consumer-centered information management activities. Previous work has assessed PHRs associated with healthcare providers, but these systems leave home health nurses unable to access necessary information.To evaluate the ability of publically available PHRs to accept, manage, and share information from a home health case study.Two researchers accessed the publically available PHRs on myPHR.com, and attempted to enter, manage, and share the case study data. We qualitatively described the PHR features, and identified gaps between the case study information and PHR functionality.Eighteen PHRs were identified in our initial search. Seven systems met our inclusion criteria, and are included in this review. The PHRs were able to accept basic medical information. Gaps occurred when entering, managing, and/or sharing data from the acute care and home health episodes. The PHRs that were reviewed were unable to effectively manage the case study information. Therefore, increasing consumer health literacy through these systems may be difficult. The PHRs that we reviewed were also unable to electronically share their data.The gap between the existing functionality and the information needs from the case study may make these PHRs difficult to use for home health environments. Additional work is needed to increase the functionality of the PHR systems to better fit the data needs of home health clients.

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