1,842 research outputs found

    Analysis of the Adherence of mHealth Applications to HIPAA Technical Safeguards

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    The proliferation of mobile health technology, or mHealth apps, has made it essential to protect individual health details. People now have easy access to digital platforms that allow them to save, share, and access their medical data and treatment information as well as easily monitor and manage health-related issues. It is crucial to make sure that protected health information (PHI) is effectively and securely transmitted, received, created, and maintained in accordance with the rules outlined by the Health Insurance Portability and Accountability Act (HIPAA), as the use of mHealth apps increases. Unfortunately, many mobile app developers, particularly those of mHealth apps, do not completely understand the HIPAA security and privacy requirements. This offers a unique opportunity for research to create an analytical framework that can help programmers maintain safe and HIPAA-compliant source code while also educating users about the security and privacy of private health information. The plan is to develop a framework which will serve as the foundation for developing an integrated development environment (IDE) plugin for mHealth app developers and a web-based interface for mHealth app consumers. This will help developers identify and address HIPAA compliance issues during the development process and provide consumers with a tool to evaluate the privacy and security of mHealth apps before downloading and using them. The goal is to encourage the development of secure and compliant mHealth apps that safeguard personal health information

    An All-in-One mHealth Application: #Beats – Your health mate

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    Màster en Gestió de Continguts Digitals, Facultat d'Informació i Mitjans Audiovisuals, Universitat de Barcelona i UPF, curs 2019-2020. Tutor: Dr. Cristóbal Urbano. UBBy exploring the current situation of the mHealth market in Spain, and the feasibility of the open-source framework, this article looks forward to developing an all-in-one mHealth application with the concept of Mini Programs/ Instant App. It can integrate the healthcare resources and provide users with more experience of instant services without a complicated installation process. It also strengthens the protection of personal information and privacy. In the meanwhile, by applying the methodology of Rapid Prototyping, a user interface of this app, Beats, will be presented to visualize the above concepts. It may be a revolution for medical providers, doctor-patient relationships, public health care systems, and even the entire healthcare system

    Mobile Health Applications: Background Research and Best Practices

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    This capstone was developed with the Patient Experience Department at Maine Medical Center (MMC) and an interdisciplinary MMC Tools and Technologies group. This research and analysis explores and outlines the foundations and best practices for mobile health (mHealth) applications (apps) across the spectrum of healthcare. mHealth apps used at some of the top rated hospitals in the country were selected and studied as possible templates for a similar initiative at MMC

    Developing mHealth Apps with researchers: multi-stakeholder design considerations

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    The authors have been involved with developing a number of mHealth smartphone Apps for use in health or wellness research in collaboration with researchers, clinicians and patient groups for clinical areas including Sickle Cell Disease, Attention Deficit Hyperactivity Disorder, asthma and infertility treatment. In these types of applications, end-users self-report their symptoms and quality of life or conduct psychometric tests. Physiological data may also be captured using sensors that are internal or external to the device. Following a discussion of the multiple stakeholders that are typically involved in small scale research projects involving end-user data collection, four Apps are used as case studies to explore the issue of non-functional requirements

    No Risk, More Fun! Automating Breach of Confidentiality Risk Assessment for Android Mobile Health Applications

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    With the rapidly rising number of mobile health (mHealth) applications (apps), it is unfeasible to manually review mHealth apps for information privacy risks. One salient information privacy risk of mHealth apps are confidentiality breaches. We explore whether and how static code analysis is a feasible technology for app review automation. Evaluation of our research prototype shows that, on average, our prototype detected one breach of confidentiality risk more than human reviewers. Contributions are the demonstration that static code analysis is a feasible technology for detection of confidentiality breaches in mHealth apps, the derivation of eight generic design patterns for confidentiality breach risk assessments, and the identification of architectural challenges that need to be resolved for wide-spread dissemination of breach of confidentiality risk assessment tools. In terms of effectiveness, humans still outperform computers. However, we build a foundation for leveraging computation power to scale up breach of confidentiality risk assessments

    Using mobile technology to engage sexual and gender minorities in clinical research.

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    IntroductionHistorical and current stigmatizing and discriminatory experiences drive sexual and gender minority (SGM) people away from health care and clinical research. Being medically underserved, they face numerous disparities that make them vulnerable to poor health outcomes. Effective methods to engage and recruit SGM people into clinical research studies are needed.ObjectivesTo promote health equity and understand SGM health needs, we sought to design an online, national, longitudinal cohort study entitled The PRIDE (Population Research in Identity and Disparities for Equality) Study that enabled SGM people to safely participate, provide demographic and health data, and generate SGM health-related research ideas.MethodsWe developed an iPhone mobile application ("app") to engage and recruit SGM people to The PRIDE Study-Phase 1. Participants completed demographic and health surveys and joined in asynchronous discussions about SGM health-related topics important to them for future study.ResultsThe PRIDE Study-Phase 1 consented 18,099 participants. Of them, 16,394 provided data. More than 98% identified as a sexual minority, and more than 15% identified as a gender minority. The sample was diverse in terms of sexual orientation, gender identity, age, race, ethnicity, geographic location, education, and individual income. Participants completed 24,022 surveys, provided 3,544 health topics important to them, and cast 60,522 votes indicating their opinion of a particular health topic.ConclusionsWe developed an iPhone app that recruited SGM adults and collected demographic and health data for a new national online cohort study. Digital engagement features empowered participants to become committed stakeholders in the research development process. We believe this is the first time that a mobile app has been used to specifically engage and recruit large numbers of an underrepresented population for clinical research. Similar approaches may be successful, convenient, and cost-effective at engaging and recruiting other vulnerable populations into clinical research studies
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