Life-Logging Data Aggregation Solution for Interdisciplinary Healthcare Research and Collaboration

The wide-spread use of wearable devices and mobile apps in the Internet of Things (IoT) environments makes effectively capture of life-logging personal health data come true. A long-term collection of these health data will benefit to interdisciplinary healthcare research and collaboration. But most wearable devices and mobile apps in the market focus on personal fitness plan and lack of compatibility and extensibility to each other. Existing IoT based platforms rarely achieve a successful heterogeneous life-logging data aggregation. Also, the demand on high security increases difficulties of designing reliable platform for integrating and managing multi-resource life-logging health data. This paper investigates the possibility of collecting and aggregating life-logging data with the use of wearable devices, mobile apps and social media. It compares existing personal health data collection solutions and identifies essential needs of designing a life-logging data aggregator in the IoT environments. An integrated data collection solution with high secure standard is proposed and deployed on a state-of-the-art interdisciplinary healthcare platform: MHA [15] by integrating five life-logging resources: Fitbit, Moves, Facbook, Twitter, etc. The preliminary experiment demonstrates that it successfully record, store and reuse the unified and structured personal health information in a long term, including activities, location, exercise, sleep, food, heat rate and mood

Designing privacy for scalable electronic healthcare linkage

A unified electronic health record (EHR) has potentially immeasurable benefits to society, and the current healthcare industry drive to create a single EHR reflects this. However, adoption is slow due to two major factors: the disparate nature of data and storage facilities of current healthcare systems and the security ramifications of accessing and using that data and concerns about potential misuse of that data. To attempt to address these issues this paper presents the VANGUARD (Virtual ANonymisation Grid for Unified Access of Remote Data) system which supports adaptive security-oriented linkage of disparate clinical data-sets to support a variety of virtual EHRs avoiding the need for a single schematic standard and natural concerns of data owners and other stakeholders on data access and usage. VANGUARD has been designed explicit with security in mind and supports clear delineation of roles for data linkage and usage

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Integrated, reliable and cloud-based personal health record: a scoping review.

Personal Health Records (PHR) emerge as an alternative to integrate patient’s health information to give a global view of patients' status. However, integration is not a trivial feature when dealing with a variety electronic health systems from healthcare centers. Access to PHR sensitive information must comply with privacy policies defined by the patient. Architecture PHR design should be in accordance to these, and take advantage of nowadays technology. Cloud computing is a current technology that provides scalability, ubiquity, and elasticity features. This paper presents a scoping review related to PHR systems that achieve three characteristics: integrated, reliable and cloud-based. We found 101 articles that addressed thosecharacteristics. We identified four main research topics: proposal/developed systems, PHR recommendations for development, system integration and standards, and security and privacy. Integration is tackled with HL7 CDA standard. Information reliability is based in ABE security-privacy mechanism. Cloud-based technology access is achieved via SOA.CONACYT - Consejo Nacional de Ciencia y TecnologíaPROCIENCI

Self-Tracking, Social Media and Personal Health Records for Patient Empowered Self-Care

Objectives: This paper explores the range of self-tracking devices and social media platforms used by the self-tracking community, and examines the implications of widespread adoption of these tools for scientific progress in health informatics. Methods: A literature review was performed to investigate the use of social media and self-tracking technologies in the health sector. An environmental scan identified a range of products and services which were used to exemplify three levels of self-tracking: self-experi- mentation, social sharing of data and patient controlled electronic health records. Results: There appears to be an increase in the use of self-tracking tools, particularly in the health and fitness sector, but also used in the management of chronic diseases. Evidence of efficacy and effectiveness is limited to date, primarily due to the health and fitness focus of current solutions as opposed to their use in dis- ease management. Conclusions: Several key technologies are converging to produce a trend of increased personal health surveillance and monitoring, so- cial connectedness and sharing, and integration of regional and national health information systems. These trends are enabling new applications of scientific techniques, from personal experimentation to e-epidemiology, as data gathered by individuals are aggregated and shared across increasingly connected healthcare networks. These trends also raise significant new ethical and scientific issues that will need to be addressed, both by health informatics researchers and the communities of self-trackers themselves

An Integrated Cloud-based Healthcare Infrastructure

Abstract—We present a cloud-based healthcare system that integrates a formal care system (DACAR) with an informal care system (Microsoft HealthVault). The system provides high levels of security and privacy within a cloud environment, enabling sharing of both health records and the access rights, along the patient pathway. We also define a case study that can help in evaluating and in demonstrating the usefulness of a cloud-based integrated health care system

Heart Fail Clin

Heart failure management requires intensive care coordination. Guideline-directed medical therapies have been shown to save lives but are practically challenging to implement because of the fragmented care that heart failure patients experience. Electronic health record adoption has transformed the collection and storage of clinical data, but accessing these data often remains prohibitively difficult. Current legislation aims to increase the interoperability of software systems so that providers and patients can easily access the clinical information they desire. Novel heart failure devices and technologies leverage patient-generated data to manage heart failure patients, whereas new data standards make it possible for this information to guide clinical decision-making.R18 HS023921/HS/AHRQ HHSUnited States/U18 DP006120/DP/NCCDPHP CDC HHSUnited States/2021-10-01T00:00:00Z32888641PMC82963611036

Lifelong personal health data and application software via virtual machines in the cloud

Personal Health Records (PHRs) should remain the lifelong property of patients, who should be able to show them conveniently and securely to selected caregivers and institutions. In this paper, we present MyPHRMachines, a cloud-based PHR system taking a radically new architectural solution to health record portability. In MyPHRMachines, health-related data and the application software to view and/or analyze it are separately deployed in the PHR system. After uploading their medical data to MyPHRMachines, patients can access them again from remote virtual machines that contain the right software to visualize and analyze them without any need for conversion. Patients can share their remote virtual machine session with selected caregivers, who will need only a Web browser to access the pre-loaded fragments of their lifelong PHR. We discuss a prototype of MyPHRMachines applied to two use cases, i.e., radiology image sharing and personalized medicine

Balancing patient control and practical access policy for electronic health records via blockchain technology

Electronic health records (EHRs) have revolutionized the health information technology domain, as patient data can be easily stored and accessed within and among medical institutions. However, in working towards nationwide patient engagement and interoperability goals, recent literature adopts a very patient-centric model---patients own their universal, holistic medical records and control exactly who can access their health data. I contend that this approach is largely impractical for healthcare workflows, where many separate providers require access to health records for care delivery. My work investigates the potential of a blockchain network to balance patient control and provider accessibility with a two-fold approach. First, I conduct a survey investigation to identify patient concerns and determine the level of control patients would like over their health information. Second, I implement a blockchain network prototype to address the spectrum of patient control preferences and automate practical access policy. There are conflicting demands amongst patients and providers for EHR access---privacy versus flexibility. Yet, I find blockchain technology, when manipulated to model access states, automate an organizational role-based access scheme, and provide an immutable history of behavior in the network, to be a very plausible solution for balancing patient desires and provider needs. My approach is, to my knowledge, the first example of blockchain\u27s use for less patient-centric, nudge theory-based EHR access control, an idea that could align access control interests as academics, the government, and the healthcare industry make strides towards interoperable, universal patient records