Publications by authors named "Sonja Cassidy"

Background: Cross-organizational access to shared electronic health records can enhance integrated, people-centered health services. However, a gap remains between these potential benefits and the limited support currently offered by electronic health records. The Valkyrie research project aims to bridge this gap by developing a technical prototype of an architecture to promote healthcare service coordination.

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Background: Despite the recognized benefits of integrating patient perspectives into healthcare design and clinical decision support, theoretical approaches and standardized methods are lacking. Various strategies, such as developing pathways, have evolved to address these challenges. Previous research emphasized the need for a framework for care pathways that includes theoretical principles, extensive user involvement, and data from electronic health records to bridge the gap between different fields and disciplines.

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The Valkyrie project aims to develop a demonstration Federated Electronic Health Record for the use of mental health practitioners in Norway. Information for the record is drawn from existing records in Source Systems operating across primary and secondary care. Recording of information in any such system, in response to a healthcare event, triggers the generation of an Encrypted Token, containing summary metadata about the event, clinical coding indicating its clinical context and a locator that can be used to retrieve the full record of the event from the original Source System.

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Despite learning health systems' focus on including the patients in improving healthcare services, research shows they are still considered participants, not partners. This article aims to provide practical guidance for recognizing and including the Voice of the Patient (VoP) as data in a continuous LHS by describing how the VoP can present itself, how it can be incorporated into the LHS and the barriers and enablers for doing so. Five key domains were identified to consider when including the patient perspective.

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Learning Health System (LHS) and integrated care are challenged due to a fragmented health data landscape. An information model is agnostic to the underlying data structures and can potentially contribute to mitigating some of the gaps. In a research project, Valkyrie, we are exploring how metadata can be organized and used to promote service coordination and interoperability across levels of care.

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Learning Health Systems (LHS) are challenged by fragmented health data. In Valkyrie, information models (IM) are explored as translators for the underlying, fragmented data structures and can potentially extend to support a future LHS. In this paper, a literature review was performed to search for property requirements for semantic interoperable IMs in the context of an LHS.

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