Towards a Blockchain Assisted Patient Owned System for Electronic Health Records

Security and privacy of patients’ data is a major concern in the healthcare industry. In this paper, we propose a system that activates robust security and privacy of patients’ medical records as well as enables interoperability and data exchange between the different healthcare providers. The work proposes the shift from patient’s electronic health records being managed and controlled by the healthcare industry to a patient-centric application where patients are in control of their data. The aim of this research is to build an Electronic Healthcare Record (EHR) system that is layered on the Ethereum blockchain platform and smart contract in order to eliminate the need for third-party systems. With this system, the healthcare provider can search for patient’s data and request the patients’ consent to access it. Patients manage their data which enables an expedited data exchange across EHR systems. Each patient’s data are stored on the peer-to-peer node ledger. The proposed patient-centric EHR platform is cross-platform compliant, as it can be accessed via personal computers and mobile devices and facilitates interoperability across healthcare providers as patients’ medical records are gathered from different healthcare providers and stored in a unified format. The proposed framework is tested on a private Ethereum network using Ganache. The results show the effectiveness of the system with respect to security, privacy, performance and interoperability

Patient Trust and Resistance towards Patient Portals

Health information technologies (HITs) as facilitators of chronic disease self-management remains an ongoing topic for information system researchers. This research addresses a gap in knowledge surrounding patient trust and resistance towards using these technologies, specifically patient portals. The method used to accomplish this study is through the dispersion of a quantitative survey to participants in Ontario, Canada. This survey focused on questions related to the four variables that have been identified through the literature to be important in determining patient resistance of HITs. The results indicate the importance of patient trust in mitigating their resistance to using these technologies

Towards a design of E-Health systems to improving healthcare service delivery

Patients’ medical records are critical to services, it helps to prevent errors in prescriptions and medications. Despite the understanding of these consequential risks to patients, medical errors remain prevalence in South Africa and many parts of the world. Empirically, this study reports medical errors and their consequences to patients. Qualitative and quantitative data relating to healthcare services delivery were used. The interpretation of the data reveals that medical errors manifest wrong medications, misrepresentations in prescriptions and mismanagement by facility. Also, patients’ lack of access to medical records and the use of incomplete medical records were other factors identified. This study lays justification and motivation for patients’ unique identifier, which contributes to improving the quality of healthcare service delivery

Developing and testing a framework for using Social Enterprise, Digital Health, and Citizen Engagement to deliver Integrated People-Centered Health Services

To achieve Universal Health Coverage and the United Nations’ Sustainable Development Goals’ by 2030, the World Health Organisation recommended the use of social enterprise, digital technology, and citizen engagement in the delivery of Integrated People-Centered Health Services (IPCHS). We aimed to develop and test a framework for using social enterprise, digital health, and citizen engagement to deliver IPCHS and achieve the WHO strategic vision for 21st-century primary care. We conducted a hermeneutic review of frameworks, models, and theories on social enterprise, digital health, citizen engagement, and IPCHS. This involved multiple iterative cycles of (i) searching and acquisition, followed by (ii) critical analysis and interpretation of literature to assemble arguments and evidence for conceptual relationships. This process identified a set of constructs that we synthesized into a conceptual framework to provide theoretical grounding for an empirical inquiry into how social enterprises use digital technology to engage citizens in co-creating IPCHS. We tested this preliminary framework with two community health alliances (CHAs) in South Western Sydney (SWS), namely the Wollondilly Health Alliance and the Fairfield City Health Alliance (FCHA). Each CHA comprised the local council of the local government area (LGA), the SWS Local Health District, and the SWS Primary Health Network who collaborated to address the health challenges faced by local communities. We developed comparative case studies using a combination of documentary analysis and semi-structured interviews with stakeholders from both CHAs. The reassignment of CHA staff to address the COVID-19 pandemic limited CHA operations and prevented many CHA stakeholders from participating in the case study, possibly introducing selection bias. Nonetheless, findings from the case studies yielded evidence for several of the conceptual relationships between social enterprise, digital health citizen engagement, and IPCHS identified in our initial framework; but also suggested that greater organizational maturity was required for the CHAs to operate as social enterprises. Considering these findings, we revised our initial framework, and then used it to develop a maturity model to suggest how health organizations like CHAs can achieve greater organizational maturity to operate as social enterprises that use digital technology to engage citizens in co-creating IPCHS

DICOM metadata: a useful resource for big data analytics

Postprint (published version

Using Foresight to develop eHealth intervention implementation strategy

One of the key focus areas of the National Dementia Strategy, released by the Canadian government in 2019, is improving informal caregivers' quality of life through better support. While an array of services are available to support them, it’s usually up to caregivers to find them and navigating through a fragmented health and social support system can be challenging, time-consuming, frustrating, and often ineffective. Innovative approaches and eHealth interventions that can provide easy, timely, and need-based access to knowledge resources, enhances and safeguards care capacity among informal caregivers, reducing stress and depression levels, delaying nursing home placements, improving mood and their quality of life (Brodaty & Donkin, 2009). Innovations in technology are becoming a crucial element in improving support for and the well-being of family caregivers but a number of social, cultural, ethical, and technical issues complicate the rapid emergence of new technologies which affects its adoption, implementation, and scalability. Using a participatory foresight approach, this research project speculates futures, 15 years from now, to explore and envision an implementation model for eHealth services for informal Dementia caregivers in Ontario. At a time when technology innovations present significant challenges and opportunities, the purpose is to identify leverage points that will inspire and inform organizations, developers, researchers, healthcare providers, and innovators interested in translating knowledge into practice by designing sustainable and resilient eHealth interventions. This has been accomplished by understanding the needs of informal caregivers, implications of emerging technologies, and factors affecting implementation of eHealth solutions that support informal caregivers

Designing Data Spaces

This open access book provides a comprehensive view on data ecosystems and platform economics from methodical and technological foundations up to reports from practical implementations and applications in various industries. To this end, the book is structured in four parts: Part I “Foundations and Contexts” provides a general overview about building, running, and governing data spaces and an introduction to the IDS and GAIA-X projects. Part II “Data Space Technologies” subsequently details various implementation aspects of IDS and GAIA-X, including eg data usage control, the usage of blockchain technologies, or semantic data integration and interoperability. Next, Part III describes various “Use Cases and Data Ecosystems” from various application areas such as agriculture, healthcare, industry, energy, and mobility. Part IV eventually offers an overview of several “Solutions and Applications”, eg including products and experiences from companies like Google, SAP, Huawei, T-Systems, Innopay and many more. Overall, the book provides professionals in industry with an encompassing overview of the technological and economic aspects of data spaces, based on the International Data Spaces and Gaia-X initiatives. It presents implementations and business cases and gives an outlook to future developments. In doing so, it aims at proliferating the vision of a social data market economy based on data spaces which embrace trust and data sovereignty