Browsing by Author "King, Zachary"

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    A Novel Conceptual Architecture for Person-Centered Health Records
    (American Medical Informatics Association, 2017-02-10) Schleyer, Titus; King, Zachary; Miled, Zina Ben; Department of Medicine, IU School of Medicine
    Personal health records available to patients today suffer from multiple limitations, such as information fragmentation, a one-size-fits-all approach and a focus on data gathered over time and by institution rather than health conditions. This makes it difficult for patients to effectively manage their health, for these data to be enriched with relevant information from external sources and for clinicians to support them in that endeavor. We propose a novel conceptual architecture for person-centered health record information systems that transcends many of these limitations and capitalizes on the emerging trend of socially-driven information systems. Our proposed personal health record system is personalized on demand to the conditions of each individual patient; organized to facilitate the tracking and review of the patient's conditions; and able to support patient-community interactions, thereby promoting community engagement in scientific studies, facilitating preventive medicine, and accelerating the translation of research findings.
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    P2HR, a personalized condition-driven person health record
    (2017) King, Zachary; Ben-Miled, Zina
    Health IT has recently seen a significant progress with the nationwide migration of several hospitals from legacy patient records to standardized Electronic Health Record (EHR) and the establishment of various Health Information Exchanges that facilitate access to patient health data across multiple networks. While this progress is a major enabler of improved health care services, it is unable to deliver the continuum of the patient's current and historical health data needed by emerging trends in medicine. Fields such as precision and preventive medicine require longitudinal health data in addition to complementary data such as social, demographic and family history. This thesis introduces a person health record (PHR) which overcomes the above gap through a personalized framework that organizes health data according to the patient’s disease condition. The proposed personalized person health record (P2HR) represents a departure from the standardized one-size-fits-all model of currently available PHRs. It also relies on a hybrid peer-to-peer model to facilitate patient provider communication. One of the core challenges of the proposed framework is the mapping between the event-based data model used by current EHRs and PHRs and the proposed condition-based data model. Effectively mapping symptoms and measurements to disease conditions is challenging given that each symptom or measurement may be associated with multiple disease conditions. To alleviate these problems the proposed framework allows users and their health care providers to establish the relationships between events and disease conditions on a case-by-case basis. This organization provides both the patient and the provider with a better view of each disease condition and its progression.
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    Person-Centered Health Records
    (Office of the Vice Chancellor for Research, 2016-04-08) King, Zachary
    Current Personal Health Records (PHRs) have been in existence for more than a decade. However, to date, they have not been able to attract the attention of mainstream patients. This limited widespread adoption may possibly be due to a lack of support of the users in efficiently and effectively managing their health records. The exiting PHRs seem to be even less useful to health care providers in support of their decision-making process. Most PHRs include an emergency profile which is entered by the user and can be accessed by emergency care providers. This information is useful and in critical situation may be the only information available to health care providers. However, the PHRs also often rely on the user to enter other health-related information instead of facilitating a user-friendly automated and personalized data integration model with external data sources. User-entered data can make health records lack reliability and render the underlying application difficult to manage for layman users. Furthermore, current PHRs are organized to facilitate data acquisition rather than based on ease of access and of management by mainstream users. In this paper, we propose a new architecture for PHRs that we believe can overcome the lack of personalization and data integration in current systems thereby leading to a more user-friendly PHR model that may be able to gain active mainstream engagement. The architecture of the proposed PHR is patient-centric and socially-driven. It allows the users to customize their health records and make these records more available to health care providers for tracking, review, and editing. The proposed system will also encourage large scale community engagement and participation in health related research.