Dataset Information

Tamper-Resistant Mobile Health Using Blockchain Technology.

ABSTRACT: BACKGROUND:Digital health technologies, including telemedicine, mobile health (mHealth), and remote monitoring, are playing a greater role in medical practice. Safe and accurate management of medical information leads to the advancement of digital health, which in turn results in a number of beneficial effects. Furthermore, mHealth can help lower costs by facilitating the delivery of care and connecting people to their health care providers. Mobile apps help empower patients and health care providers to proactively address medical conditions through near real-time monitoring and treatment, regardless of the location of the patient or the health care provider. Additionally, mHealth data are stored in servers, and consequently, data management that prevents all forms of manipulation is crucial for both medical practice and clinical trials. OBJECTIVE:The aim of this study was to develop and evaluate a tamper-resistant mHealth system using blockchain technology, which enables trusted and auditable computing using a decentralized network. METHODS:We developed an mHealth system for cognitive behavioral therapy for insomnia using a smartphone app. The volunteer data collected with the app were stored in JavaScript Object Notation format and sent to the blockchain network. Thereafter, we evaluated the tamper resistance of the data against the inconsistencies caused by artificial faults. RESULTS:Electronic medical records collected using smartphones were successfully sent to a private Hyperledger Fabric blockchain network. We verified the data update process under conditions where all the validating peers were running normally. The mHealth data were successfully updated under network faults. We further ensured that any electronic health record registered to the blockchain network was resistant to tampering and revision. The mHealth data update was compatible with tamper resistance in the blockchain network. CONCLUSIONS:Blockchain serves as a tamperproof system for mHealth. Combining mHealth with blockchain technology may provide a novel solution that enables both accessibility and data transparency without a third party such as a contract research organization.

SUBMITTER: Ichikawa D

PROVIDER: S-EPMC5550736 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Tamper-Resistant Mobile Health Using Blockchain Technology.

Ichikawa Daisuke D Kashiyama Makiko M Ueno Taro T

JMIR mHealth and uHealth 20170726 7

<h4>Background</h4>Digital health technologies, including telemedicine, mobile health (mHealth), and remote monitoring, are playing a greater role in medical practice. Safe and accurate management of medical information leads to the advancement of digital health, which in turn results in a number of beneficial effects. Furthermore, mHealth can help lower costs by facilitating the delivery of care and connecting people to their health care providers. Mobile apps help empower patients and health c ...[more]

PMID: 28747296

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Project description:BackgroundBlockchain technology is a part of Industry 4.0's new Internet of Things applications: decentralized systems, distributed ledgers, and immutable and cryptographically secure technology. This technology entails a series of transaction lists with identical copies shared and retained by different groups or parties. One field where blockchain technology has tremendous potential is health care, due to the more patient-centric approach to the health care system as well as blockchain's ability to connect disparate systems and increase the accuracy of electronic health records.ObjectiveThe aim of this study was to systematically review studies on the use of blockchain technology in health care and to analyze the characteristics of the studies that have implemented blockchain technology.MethodsThis study used a systematic review methodology to find literature related to the implementation aspect of blockchain technology in health care. Relevant papers were searched for using PubMed, SpringerLink, IEEE Xplore, Embase, Scopus, and EBSCOhost. A quality assessment of literature was performed on the 22 selected papers by assessing their trustworthiness and relevance.ResultsAfter full screening, 22 papers were included. A table of evidence was constructed, and the results of the selected papers were interpreted. The results of scoring for measuring the quality of the publications were obtained and interpreted. Out of 22 papers, a total of 3 (14%) high-quality papers, 9 (41%) moderate-quality papers, and 10 (45%) low-quality papers were identified.ConclusionsBlockchain technology was found to be useful in real health care environments, including for the management of electronic medical records, biomedical research and education, remote patient monitoring, pharmaceutical supply chains, health insurance claims, health data analytics, and other potential areas. The main reasons for the implementation of blockchain technology in the health care sector were identified as data integrity, access control, data logging, data versioning, and nonrepudiation. The findings could help the scientific community to understand the implementation aspect of blockchain technology. The results from this study help in recognizing the accessibility and use of blockchain technology in the health care sector.

Project description:OBJECTIVE:To check if mobile health (m-Health) short message service (SMS) can improve the knowledge and practice of the American Diabetic Association preventive care guidelines (ADA guidelines) recommendations among physicians. METHODOLOGY:Quasi-experimental pre-post study design with a control group. PARTICIPANTS:The participants of the study were 62 medical officers/medical postgraduate trainees from two hospitals in Lahore, Pakistan. Pretested questionnaire was used to collect baseline information about physicians' knowledge and adherence according to the ADA guidelines. All the respondents attended 1-day workshop about the guidelines. The intervention group received regular reminders by SMS about the ADA guidelines for the next 5 months. Postintervention knowledge and practice scores of 13 variables were checked again using the same questionnaire. Statistical analysis included χ2 and McNemar's tests for categorical variables and t-test for continuous variables. Pearson's correlation analysis was done to check correlation between knowledge and practice scores in the intervention group. P values of <0.05 were considered statistically significant. RESULTS:The total number of participating physicians was 62. Fifty-three (85.5%) respondents completed the study. Composite scores within the intervention group showed statistically significant improvement in knowledge (p<0.001) and practice (p<0.001) postintervention. The overall composite scores preintervention and postintervention also showed statistically significant difference of improvement in knowledge (p=0.002) and practice (p=0.001) between non-intervention and intervention groups. Adherence to individual 13 ADA preventive care guidelines level was noted to be suboptimal at baseline. Statistically significant improvement in the intervention group was seen in the following individual variables: review of symptoms of hypoglycaemia and hyperglycaemia, eye examination, neurological examination, lipid examination, referral to ophthalmologist, and counselling about non-smoking. CONCLUSION:m-Health technology can be a useful educational tool to help with improving knowledge and practice of diabetic guidelines. Future multicentre trials will help to scale this intervention for wider use in resource-limited countries.

Project description:BackgroundNowadays, a number of mechanisms and tools are being used by health care organizations and physicians to electronically exchange the personal health information of patients. The main objectives of different methods of health information exchange (HIE) are to reduce health care costs, minimize medical errors, and improve the coordination of interorganizational information exchange across health care entities. The main challenges associated with the common HIE systems are privacy concerns, security risks, low visibility of system transparency, and lack of patient control. Blockchain technology is likely to disrupt the current information exchange models utilized in the health care industry.ObjectiveLittle is known about patients' perceptions and attitudes toward the implementation of blockchain-enabled HIE networks, and it is still not clear if patients (as one of the main HIE stakeholders) are likely to opt in to the applications of this technology in HIE initiatives. Thus, this study aimed at exploring the core value of blockchain technology in the health care industry from health care consumers' views.MethodsTo recognize the potential applications of blockchain technology in health care practices, we designed 16 information exchange scenarios for controlled Web-based experiments. Overall, 2013 respondents participated in 16 Web-based experiments. Each experiment described an information exchange condition characterized by 4 exchange mechanisms (ie, direct, lookup, patient-centered, and blockchain), 2 types of health information (ie, sensitive vs nonsensitive), and 2 types of privacy policy (weak vs strong).ResultsThe findings show that there are significant differences in patients' perceptions of various exchange mechanisms with regard to patient privacy concern, trust in competency and integrity, opt-in intention, and willingness to share information. Interestingly, participants hold a favorable attitude toward the implementation of blockchain-based exchange mechanisms for privacy protection, coordination, and information exchange purposes. This study proposed the potentials and limitations of a blockchain-based attempt in the HIE context.ConclusionsThe results of this research should be of interest to both academics and practitioners. The findings propose potential limitations of a blockchain-based HIE that should be addressed by health care organizations to exchange personal health information in a secure and private manner. This study can contribute to the research in the blockchain area and enrich the literature on the use of blockchain in HIE efforts. Practitioners can also identify how to leverage the benefit of blockchain to promote HIE initiatives nationwide.

Project description:Background: Telehealth affords rehabilitation professionals opportunities to expand access to intervention for people in rural areas. Complex interventions have not been adapted for remote delivery using mobile health technologies. Strategy training is a complex intervention that teaches clients skills for identifying barriers and solutions to engagement in meaningful activities. Our goal was to adapt the delivery of strategy training for remote delivery using mobile health technology.Methods: We conducted a sequential descriptive case series study (n = 5) in which community-dwelling participants with chronic stroke and prior exposure to strategy training used the iADAPTS mobile health application for 5 weeks. Expert practitioners advised revisions to the intervention process. Safety was assessed via monitoring occurrence of adverse events and risk for adverse events. Acceptability was assessed via the Client Satisfaction Questionnaire-8 (CSQ-8) and the Patient-Provider Connection Short Form of the Healing Encounters and Attitudes Lists (HEAL PPC).Results: Revisions to the intervention process supported the delivery of strategy training using mobile health technology after stroke. No adverse events occurred and risk for adverse events was managed through the intervention process. Acceptability was high (CSQ-8, 25 to 32; HEAL PPC, 59.9 to 72.5).Conclusions: Strategy training can be adapted for delivery using mobile health technology, with careful consideration to methods for training participants on new technology and the intervention delivery. Future research should establish the efficacy and effectiveness of integrating mobile health in delivery of interventions that promote engagement in client-selected activities and community participation.Implications for rehabilitationTranslating the strategy training intervention from face-to-face to remote delivery required thoughtful adaptation of the intervention protocol.Strategies for training clients to use mobile health technology during intervention may be important when designing remotely delivered mHealth intervention protocols.Client safety should be considered within the design of the intervention protocol for a complex intervention designed to be delivered remotely.Future studies should examine the efficacy of complex rehabilitation interventions such as strategy training on clinical outcomes (e.g., community participation).

Project description:ObjectiveThis scoping review aims to characterize the current literature on electronic patient-reported outcome measures (ePROMs) in rheumatology and assess the feasibility and utility of ePROMs and mobile health technology in the management of rheumatic disease.IntroductionPatient-reported outcome measures (PROMs) are commonly used in rheumatology as they are important markers of disease activity and overall function, encourage shared decision-making, and are associated with high rates of patient satisfaction. With the widespread use of mobile devices, there is increasing interest in the use of mobile health technology to collect electronic PROMs (ePROM).Inclusion criteriaAll primary studies that involve the collection of ePROMs using mobile devices by individuals with a rheumatic disease were included. Articles were excluded if ePROMs were measured during clinic appointments.MethodsA scoping review was performed using Medline, Embase, PsycINFO, and CINAHL with index terms and key words related to "patient-reported outcome measures", "rheumatic diseases", and "mobile health technology".ResultsA total of 462 records were identified after duplicates were removed. Of the 70 studies selected for review, 43% were conference proceedings and 57% were journal articles, with the majority published in 2016 or later. Inflammatory arthritis was the most common rheumatic disease studied. Generic ePROMs were used over three times more often than disease-specific ePROMs. A total of 39 (56%) studies directly evaluated the feasibility of ePROMs in clinical practice, 19 (27%) were clinical trials that used ePROMs as study endpoints, 9 (13%) were focus groups or surveys on smartphone application development, and 3 (4%) did not fit into one defined category.ConclusionThe use of ePROMs in rheumatology is a growing area of research and shows significant utility in clinical practice, particularly in inflammatory arthritis. Further research is needed to better characterize the feasibility of ePROMs in rheumatology and their impact on patient outcomes.

Dataset Information

Tamper-Resistant Mobile Health Using Blockchain Technology.

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Tamper-Resistant Mobile Health Using Blockchain Technology.

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