Accepted for/Published in: JMIR Formative Research
Date Submitted: Oct 2, 2020
Date Accepted: Feb 12, 2021
The Personal Health Library (PHL): Enabling an mHealth Recommender System for Self-Management of Diabetes among Underserved Population with Multiple Chronic Conditions
ABSTRACT
Background:
Traditionally, health data management has been EMR-based and mostly handled by health care providers. Mechanisms are needed to give patients more control over their health conditions. Personal Health Libraries (PHLs) provide a single point of secure access to patients' digital health information that can help empower patients to make better-informed decisions about their health.
Objective:
This article reports our efforts on leveraging tools and methods from artificial intelligence and knowledge representation to construct a private, decentralized PHL that supports interoperability and, ultimately, true care integration. Also, it describes the technological infrastructures required to build Hybrid Recommendation Systems that query the PHL to deliver tailored push notification interventions focused on improving self-care behaviors in diabetic and cancer adults from underserved communities.
Methods:
For the construction and management of the PHL, we leverage several technological infrastructures, including the Social Linked Data (Solid) platform, which builds on the W3C protocol standard and vocabularies as well as the Linked Open Data Stack. Solid enriches the Linked Data stack with modern development tools including JavaScript-based frameworks (e.g., React), which makes both integration tasks using APIs and building Solid enabled applications a seamless experience.
Results:
To showcase the framework functionalities we present a prototype design and demonstrate the main features through two use case scenarios motivated both by requirements identified in the literature and by recommendations from Physicians from both Hematology and Preventive medicine fields at two children’s hospitals in Memphis, TN.
Conclusions:
The proposed platform incorporates social determinants of health (SDoH) and ODLs in addition to digital health information to provide insights for informing both therapeutic and preventive interventions in chronic disease management. The PHL helps patients and their caregivers take a central role in making decisions regarding their health and equips health care providers with informatics tools to support the collection and interpretation of the collected knowledge
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.