Toward patient-centered personal health records systems to promote evidence-based decision-making and information sharing

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DF2017Alyami_Redacted.pdf (2.96 MB)

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http://library.towson.edu/digital/collection/etd/id/64513

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Towson University Graduate Theses and Dissertations

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2018-03-16

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dissertations
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Towson University. Department of Computer and Information Sciences

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Abstract

We started out by exploring the barriers in adopting PHRs and proposed a few approaches that can promote the adoption of PHRS by the general public so it is possible to implement continuity of care in community settings, evidence-based care, and also prevent potential medical errors. To uncover the barriers in adopting PHR, we have surveyed articles related to PHRS from 2008 to 2017 and categorized them into 6 different categories: motivation, usability, ownerships, interoperability, privacy, and security and portability. We incorporated the survey results into our proposed PHRS, so it can help overcome some of the barriers and motivate people to adopt PHRS. In Our proposed PHRS, we aimed to manage personal health data by utilizing metadata for organizing and retrieval of clinical data. Cloud storage was chosen for easy access and sharing of health data with relevant caregivers to implement the continuity of care and evidence-based treatment. In our study, we have used Dropbox as storage for testing purposes. However, for practical use, secure cloud storage services that are Health Insurance Portability and Accountability Act (HIPAA) complaint can be used for privacy and security purposes, such as Dropbox (Business), Box, Google Drive,Microsoft OneDrive, and Carbonite. In case of emergency, we make critical medical information such as current medication and allergies available to relevant caregivers with valid license numbers only. In addition, to standardize PHR and improve health knowledge, we provide semantic guidance for using SNOMED CT to describe patient problems and for mapping SNOMED CT codes to ICD-10-CM to uncover potential diseases. As a proof of concept, we have developed two systems (prototypes): first, my clinical record system (MCRS) for organizing, managing, storing, sharing and retrieving personal health records in a timely manner; second, a health decision support system (HDSS) that can help users to use SNOMED CT codes and potential disease(s) as a diagnosis result.