scholarly journals A Vendor-Independent Mobile Health Monitoring Platform for Digital Health Studies: Development and Usability Study (Preprint)

2018 ◽  
Author(s):  
Thijs Vandenberk ◽  
Valerie Storms ◽  
Dorien Lanssens ◽  
Hélène De Cannière ◽  
Christophe JP Smeets ◽  
...  
Keyword(s):  
Mobile Health ◽  
Remote Monitoring ◽  
Health Research ◽  
User Authentication ◽  
Digital Health ◽  
Real Life ◽  
Building Blocks ◽  
Third Party ◽  
Technological Advances ◽  
Research Platform

BACKGROUND Medical smartphone apps and mobile health devices are rapidly entering mainstream use because of the rising number of smartphone users. Consequently, a large amount of consumer-generated data is being collected. Technological advances in innovative sensory systems have enabled data connectivity and aggregation to become cornerstones in developing workable solutions for remote monitoring systems in clinical practice. However, few systems are currently available to handle such data, especially for clinical use. OBJECTIVE The aim of this study was to develop and implement the digital health research platform for mobile health (DHARMA) that combines data saved in different formats from a variety of sources into a single integrated digital platform suitable for mobile remote monitoring studies. METHODS DHARMA comprises a smartphone app, a Web-based platform, and custom middleware and has been developed to collect, store, process, and visualize data from different vendor-specific sensors. The middleware is a component-based system with independent building blocks for user authentication, study and patient administration, data handling, questionnaire management, patient files, and reporting. RESULTS A prototype version of the research platform has been tested and deployed in multiple clinical studies. In this study, we used the platform for the follow-up of pregnant women at risk of developing pre-eclampsia. The patients’ blood pressure, weight, and activity were semi-automatically captured at home using different devices. DHARMA automatically collected and stored data from each source and enabled data processing for the end users in terms of study-specific parameters, thresholds, and visualization. CONCLUSIONS The increasing use of mobile health apps and connected medical devices is leading to a large amount of data for collection. There has been limited investment in handling and aggregating data from different sources for use in academic and clinical research focusing on remote monitoring studies. In this study, we created a modular mobile health research platform to collect and integrate data from a variety of third-party devices in several patient populations. The functionality of the platform was demonstrated in a real-life setting among women with high-risk pregnancies.

scholarly journals A Vendor-Independent Mobile Health Monitoring Platform for Digital Health Studies: Development and Usability Study

10.2196/12586 ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. e12586 ◽  
Author(s):  
Thijs Vandenberk ◽  
Valerie Storms ◽  
Dorien Lanssens ◽  
Hélène De Cannière ◽  
Christophe JP Smeets ◽  
...  
Keyword(s):  
Mobile Health ◽  
Remote Monitoring ◽  
Health Research ◽  
User Authentication ◽  
Digital Health ◽  
Real Life ◽  
Building Blocks ◽  
Third Party ◽  
Technological Advances ◽  
Research Platform

Background Medical smartphone apps and mobile health devices are rapidly entering mainstream use because of the rising number of smartphone users. Consequently, a large amount of consumer-generated data is being collected. Technological advances in innovative sensory systems have enabled data connectivity and aggregation to become cornerstones in developing workable solutions for remote monitoring systems in clinical practice. However, few systems are currently available to handle such data, especially for clinical use. Objective The aim of this study was to develop and implement the digital health research platform for mobile health (DHARMA) that combines data saved in different formats from a variety of sources into a single integrated digital platform suitable for mobile remote monitoring studies. Methods DHARMA comprises a smartphone app, a Web-based platform, and custom middleware and has been developed to collect, store, process, and visualize data from different vendor-specific sensors. The middleware is a component-based system with independent building blocks for user authentication, study and patient administration, data handling, questionnaire management, patient files, and reporting. Results A prototype version of the research platform has been tested and deployed in multiple clinical studies. In this study, we used the platform for the follow-up of pregnant women at risk of developing pre-eclampsia. The patients’ blood pressure, weight, and activity were semi-automatically captured at home using different devices. DHARMA automatically collected and stored data from each source and enabled data processing for the end users in terms of study-specific parameters, thresholds, and visualization. Conclusions The increasing use of mobile health apps and connected medical devices is leading to a large amount of data for collection. There has been limited investment in handling and aggregating data from different sources for use in academic and clinical research focusing on remote monitoring studies. In this study, we created a modular mobile health research platform to collect and integrate data from a variety of third-party devices in several patient populations. The functionality of the platform was demonstrated in a real-life setting among women with high-risk pregnancies.

scholarly journals A digital health research platform for community engagement, recruitment, and retention of sexual and gender minority adults in a national longitudinal cohort study–—The PRIDE Study

2019 ◽  
Vol 26 (8-9) ◽  
pp. 737-748 ◽  
Author(s):  
Mitchell R Lunn ◽  
Micah Lubensky ◽  
Carolyn Hunt ◽  
Annesa Flentje ◽  
Matthew R Capriotti ◽  
...  
Keyword(s):  
Cohort Study ◽  
Health Research ◽  
Digital Health ◽  
Longitudinal Cohort ◽  
Gender Minority ◽  
Research Platform ◽  
Sexual And Gender Minority ◽  
And Gender ◽  
Pride Study ◽  
Digital Research

Abstract Objective Sexual and gender minority (SGM) people are underrepresented in research. We sought to create a digital research platform to engage, recruit, and retain SGM people in a national, longitudinal, dynamic, cohort study (The PRIDE Study) of SGM health. Materials and Methods We partnered with design and development firms and engaged SGM community members to build a secure, cloud-based, containerized, microservices-based, feature-rich, research platform. We created PRIDEnet, a national network of individuals and organizations that actively engaged SGM communities in all stages of health research. The PRIDE Study participants were recruited via in-person outreach, communications to PRIDEnet constituents, social media advertising, and word-of-mouth. Participants completed surveys to report demographic as well as physical, mental, and social health data. Results We built a secure digital research platform with engaging functionality that engaged SGM people and recruited and retained 13 731 diverse individuals in 2 years. A sizeable sample of 3813 gender minority people (32.8% of cohort) were recruited despite representing only approximately 0.6% of the population. Participants engaged with the platform and completed comprehensive annual surveys— including questions about sensitive and stigmatizing topics— to create a data resource and join a cohort for ongoing SGM health research. Discussion With an appealing digital platform, recruitment and engagement in online-only longitudinal cohort studies are possible. Participant engagement with meaningful, bidirectional relationships creates stakeholders and enables study cocreation. Research about effective tactics to engage, recruit, and maintain active participation from all communities is needed. Conclusion This digital research platform successfully recruited and engaged diverse SGM participants in The PRIDE Study. A similar approach may be successful in partnership with other underrepresented and vulnerable populations.

Mobile-Friendly Dashboards to Display Associations Between Cited-by and Similar Journals on Mobile Health Research: A Bibliometric Study (Preprint)

2018 ◽  
Author(s):  
Tsair-Wei Chien ◽  
Hsien-Yi Wang ◽  
Yang Shao ◽  
Willy Chou
Keyword(s):  
Social Network ◽  
Mobile Health ◽  
Health Research ◽  
Similarity Criteria ◽  
Network Density ◽  
Deep Insight ◽  
Density Indices ◽  
The Subject ◽  
The Given ◽  
Insight Into

BACKGROUND Researchers often spend a great deal of time and effort retrieving related journals for their studies and submissions. Authors often designate one article and then retrieve other articles that are related to the given one using PubMed’s service for finding cited-by or similar articles. However, to date, none present the association between cited-by and similar journals related to a given journal. Authors need one effective and efficient way to find related journals on the topic of mobile health research. OBJECTIVE This study aims (1) to show the related journals for a given journal by both cited-by and similarity criteria; (2) to present the association between cited-by and similarity journals related to a given journal; (3) to inspect the patterns of network density indices among clusters classified by social network analysis (SNA); (4) to investigate the feature of Kendall's coefficient(W) of concordance. METHODS We obtained 676 abstracts since 2013 from Medline based on the keywords of ("JMIR mHealth and uHealth"[Journal]) on June 30, 2018, and plotted the clusters of related journals on Google Maps by using MS Excel modules. The features of network density indices were examined. The Kendall coefficient (W) was used to assess the concordance of clusters across indices. RESULTS This study found that (1) the journals related to JMIR mHealth and uHealth are easily presented on dashboards; (2) a mild association(=0.14) exists between cited-by and similar journals related to JMIR mHealth and uHealth; (3) the median Impact Factor were 3.37 and 2.183 based on the representatives of top ten clusters grouped by the cited-by and similar journals, respectively; (4) all Kendall’s coefficients(i.e., 0.82, 0.89, 0.92, and 0.75) for the four sets of density centrality have a statistically significant concordance (p < 0.05). CONCLUSIONS SNA provides deep insight into the relationships of related journals to a given journal. The results of this research can provide readers with a knowledge and concept diagram to use with future submissions to a given journal in the subject category of Mobile Health Research. CLINICALTRIAL Not available

The Building Blocks of Formulas to Measure Expectation Damages; the Indifference Principle

2018 ◽  
Author(s):  
Melvin A. Eisenberg
Keyword(s):  
Market Price ◽  
Building Blocks ◽  
Third Party ◽  
Replacement Cost ◽  
Contract Price ◽  
Resale Price ◽  
The Difference ◽  
Lost Profit

Chapter 13 concerns the building blocks of formulas to measure expectation damages: replacement cost, market price, resale price, diminished value, and lost profits. Replacement-cost damages are based on the difference between the contract price and the actual or imputed cost of a replacement transaction. Resale-price damages are based on the difference between the contract price payable by a breaching buyer and the price the seller received on resale to a third party. Diminished-value damages are based on the difference between the value of the performance that a breaching seller rendered and the value of the performance that she promised to render. Lost-profit damages are based on the difference between the price a breaching buyer agreed to pay and the seller’s variable costs.

scholarly journals Assessing and piloting interoperability for population health research

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
F Estupiñán-Romero ◽  
J Gonzalez-García ◽  
E Bernal-Delgado
Keyword(s):  
Case Studies ◽  
Population Health ◽  
Health Research ◽  
Network Architecture ◽  
Digital Health ◽  
Data Extraction ◽  
Health Data ◽  
Research Network ◽  
Technical Solution ◽  
Privacy And Security

Abstract Issue/problem Interoperability is paramount when reusing health data from multiple data sources and becomes vital when the scope is cross-national. We aimed at piloting interoperability solutions building on three case studies relevant to population health research. Interoperability lies on four pillars; so: a) Legal frame (i.e., compliance with the GDPR, privacy- and security-by-design, and ethical standards); b) Organizational structure (e.g., availability and access to digital health data and governance of health information systems); c) Semantic developments (e.g., existence of metadata, availability of standards, data quality issues, coherence between data models and research purposes); and, d) Technical environment (e.g., how well documented are data processes, which are the dependencies linked to software components or alignment to standards). Results We have developed a federated research network architecture with 10 hubs each from a different country. This architecture has implied: a) the design of the data model that address the research questions; b) developing, distributing and deploying scripts for data extraction, transformation and analysis; and, c) retrieving the shared results for comparison or pooled meta-analysis. Lessons The development of a federated architecture for population health research is a technical solution that allows full compliance with interoperability pillars. The deployment of this type of solution where data remain in house under the governance and legal requirements of the data owners, and scripts for data extraction and analysis are shared across hubs, requires the implementation of capacity building measures. Key messages Population health research will benefit from the development of federated architectures that provide solutions to interoperability challenges. Case studies conducted within InfAct are providing valuable lessons to advance the design of a future pan-European research infrastructure.

scholarly journals Lattice-based remote user authentication from reusable fuzzy signature

2021 ◽  
pp. 1-26
Author(s):  
Yangguang Tian ◽  
Yingjiu Li ◽  
Robert H. Deng ◽  
Binanda Sengupta ◽  
Guomin Yang
Keyword(s):  
Communication Channel ◽  
User Authentication ◽  
Third Party ◽  
Quantum Computers ◽  
User Privacy ◽  
Remote User Authentication ◽  
Security Models ◽  
Authentication Server ◽  
New Construction ◽  
Remote User

In this paper, we introduce a new construction of reusable fuzzy signature based remote user authentication that is secure against quantum computers. We investigate the reusability of fuzzy signature, and we prove that the fuzzy signature schemes provide biometrics reusability (aka. reusable fuzzy signature). We define formal security models for the proposed construction, and we prove that it achieves user authenticity and user privacy. The proposed construction ensures: 1) a user’s biometrics can be securely reused in remote user authentication; 2) a third party having access to the communication channel between a user and the authentication server cannot identify the user.

scholarly journals Mobile health messaging service and helpdesk for South African mothers (MomConnect): history, successes and challenges

2018 ◽  
Vol 3 (Suppl 2) ◽  
pp. e000559 ◽  
Author(s):  
Peter Barron ◽  
Joanne Peter ◽  
Amnesty E LeFevre ◽  
Jane Sebidi ◽  
Marcha Bekker ◽  
...  
Keyword(s):  
Pregnant Women ◽  
South African ◽  
Mobile Health ◽  
Health Workers ◽  
Digital Health ◽  
Universal Coverage ◽  
Text Messages ◽  
Time Data ◽  
Department Of Health ◽  
Early Decision

MomConnect is a flagship programme of the South African National Department of Health that has reached over 1.5 million pregnant women. Using mobile technology, MomConnect provides pregnant and postpartum women with twice-weekly health information text messages as well as access to a helpdesk for patient queries and feedback. In just 3 years, MomConnect has been taken to scale to reach over 95% of public health facilities and has reached 63% of all pregnant women attending their first antenatal appointment. The helpdesk has received over 300 000 queries at an average of 250 per day from 6% of MomConnect users. The service is entirely free to its users. The rapid deployment of MomConnect has been facilitated by strong government leadership, and an ecosystem of mobile health implementers who had experience of much of the content and technology required. An early decision to design MomConnect for universal coverage has required the use of text-based technologies (short messaging service and Unstructured Supplementary Service Data) that are accessible via even the most basic mobile phones, but cumbersome to use and costly at scale. Unlike previous mobile messaging services in South Africa, MomConnect collects the user’s identification number and facility code during registration, enabling future linkages with other health and population databases and geolocated feedback. MomConnect has catalysed additional efforts to strengthen South Africa’s digital health architecture. The rapid growth in smartphone penetration presents new opportunities to reduce costs, increase real-time data collection and expand the reach and scope of MomConnect to serve health workers and other patient groups.

scholarly journals Diabetes clinic reinvented: will technology change the future of diabetes care?

2021 ◽  
Vol 12 ◽  
pp. 204201882199536
Author(s):  
Marwa Al-Badri ◽  
Osama Hamdy
Keyword(s):  
Mobile Health ◽  
Diabetes Care ◽  
Rural Areas ◽  
Patient Monitoring ◽  
Diabetes Management ◽  
Digital Health ◽  
Future Application ◽  
Diabetes Clinic ◽  
Digital Ecosystem ◽  
Morbid Conditions

Diabetes is a chronic disease that affects nearly 463 million people globally and involves multiple co-morbid conditions that require effective treatment and continuous management. These include lifestyle and behavioral modifications, compliance to diabetes medications and close patient monitoring, all of which can be efficiently conducted via telehealth. Integrating digital technology of telehealth and mobile health into diabetes care may improve diabetes management and increase its efficiency. In this review, we examine recent advances in healthcare technology of diabetes. Moreover, we present an example of a comprehensive virtual diabetes clinic, the “Joslin HOME,” as an innovative digital ecosystem for future application in diabetes care. This model utilizes digital health technology and comprises frequent short visits with easy two-way scheduling, focused documentation and simple billing methods. In this new model, a multidisciplinary team is connected with their patients using telehealth and mobile health to overcome the barriers of distance and location. It may possibly extend quality diabetes care to remote, underserved or rural areas.

Exclusion by Design: Lack of Information about Community Participation in COVID-19-related Mobile Apps and its Relationship to Digital Health Disparities (Preprint)

2021 ◽  
Author(s):  
Muhammed Yassin Idris ◽  
Maya Korin ◽  
Faven Araya ◽  
Sayeeda Chowdhury ◽  
Humberto Brown ◽  
...  
Keyword(s):  
Community Participation ◽  
Mobile Health ◽  
Medical Information ◽  
Mobile Apps ◽  
Digital Health ◽  
Community Based ◽  
Health Technologies ◽  
Community Needs ◽  
App Development ◽  
Communities Of Color

UNSTRUCTURED The rate and scale of transmission of COVID-19 overwhelmed healthcare systems worldwide, particularly in under-resourced communities of color that already faced a high prevalence of pre-existing health conditions. One way the health ecosystem has tried to address the pandemic is by creating mobile apps for telemedicine, dissemination of medical information, and disease tracking. As these new mobile health tools continue to be a primary format for healthcare, more attention needs to be given to their equitable distribution, usage, and accessibility. In this viewpoint collaboratively written by a community-based organization and a health app development research team, we present results of our systematic search and analysis of community engagement in mobile apps released between February and December 2020 to address the COVID-19 pandemic. We provide an overview of apps’ features and functionalities but could not find any publicly available information regarding whether these apps incorporated participation from communities of color disproportionately impacted by the pandemic. We argue that while mobile health technologies are a form of intellectual property, app developers should make public the steps taken to include community participation in app development. These steps could include community needs assessment, community feedback solicited and incorporated, and community participation in evaluation. These are factors that community-based organizations look for when assessing whether to promote digital health tools among the communities they serve. Transparency about the participation of community organizations in the process of app development would increase buy-in, trust, and usage of mobile health apps in communities where they are needed most.

Sign in / Sign up

Export Citation Format

Share Document