Browsing by Subject "Systems Integration"

Now showing 1 - 4 of 4
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    Bridging the integration gap between patient-generated blood glucose data and electronic health records.
    (Journal of the American Medical Informatics Association : JAMIA, 2019-07) Lewinski, Allison A; Drake, Connor; Shaw, Ryan J; Jackson, George L; Bosworth, Hayden B; Oakes, Megan; Gonzales, Sarah; Jelesoff, Nicole E; Crowley, Matthew J
    Telemedicine can facilitate population health management by extending the reach of providers to efficiently care for high-risk, high-utilization populations. However, for telemedicine to be maximally useful, data collected using telemedicine technologies must be reliable and readily available to healthcare providers. To address current gaps in integration of patient-generated health data into the electronic health record (EHR), we examined 2 patient-facing platforms, Epic MyChart and Apple HealthKit, both of which facilitated the uploading of blood glucose data into the EHR as part of a diabetes telemedicine intervention. All patients were offered use of the MyChart platform; we subsequently invited a purposive sample of patients who used the MyChart platform effectively (n = 5) to also use the Apple HealthKit platform. Patients reported both platforms helped with diabetes self-management, and providers appreciated the convenience of the processes for obtaining patient data. Providers stated that the EHR data presentation format for Apple HealthKit was challenging to interpret; however, they also valued the greater perceived accuracy the Apple HealthKit data. Our findings indicate that patient-facing platforms can feasibly facilitate transmission of patient-generated health data into the EHR and support telemedicine-based care.
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    Defining core issues in utilizing information technology to improve access: evaluation and research agenda.
    (Journal of general internal medicine, 2011-11) Jackson, George L; Krein, Sarah L; Alverson, Dale C; Darkins, Adam W; Gunnar, William; Harada, Nancy D; Helfrich, Christian D; Houston, Thomas K; Klobucar, Thomas F; Nazi, Kim M; Poropatich, Ronald K; Ralston, James D; Bosworth, Hayden B
    The Department of Veterans Affairs (VA) has been at the vanguard of information technology (IT) and use of comprehensive electronic health records. Despite the widespread use of health IT in the VA, there are still a variety of key questions that need to be answered in order to maximize the utility of IT to improve patient access to quality services. This paper summarizes the potential of IT to enhance healthcare access, key gaps in current evidence linking IT and access, and methodologic challenges for related research. We also highlight four key issues to be addressed when implementing and evaluating the impact of IT interventions on improving access to quality care: 1) Understanding broader needs/perceptions of the Veteran population and their caregivers regarding use of IT to access healthcare services and related information. 2) Understanding individual provider/clinician needs/perceptions regarding use of IT for patient access to healthcare. 3) System/Organizational issues within the VA and other organizations related to the use of IT to improve access. 4) IT integration and information flow with non-VA entities. While the VA is used as an example, the issues are salient for healthcare systems that are beginning to take advantage of IT solutions.
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    Opening the Duke electronic health record to apps: Implementing SMART on FHIR.
    (International journal of medical informatics, 2017-03) Bloomfield, Richard A; Polo-Wood, Felipe; Mandel, Joshua C; Mandl, Kenneth D
    Recognizing a need for our EHR to be highly interoperable, our team at Duke Health enabled our Epic-based electronic health record to be compatible with the Boston Children's project called Substitutable Medical Apps and Reusable Technologies (SMART), which employed Health Level Seven International's (HL7) Fast Healthcare Interoperability Resources (FHIR), commonly known as SMART on FHIR.We created a custom SMART on FHIR-compatible server infrastructure written in Node.js that served two primary functions. First, it handled API management activities such rate-limiting, authorization, auditing, logging, and analytics. Second, it retrieved the EHR data and made it available in a FHIR-compatible format. Finally, we made required changes to the EHR user interface to allow us to integrate several compatible apps into the provider- and patient-facing EHR workflows.After integrating SMART on FHIR into our Epic-based EHR, we demonstrated several types of apps running on the infrastructure. This included both provider- and patient-facing apps as well as apps that are closed source, open source and internally-developed. We integrated the apps into the testing environment of our desktop EHR as well as our patient portal. We also demonstrated the integration of a native iOS app.In this paper, we demonstrate the successful implementation of the SMART and FHIR technologies on our Epic-based EHR and subsequent integration of several compatible provider- and patient-facing apps.
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    Renal systems biology of patients with systemic inflammatory response syndrome.
    (Kidney Int, 2015-10) Tsalik, Ephraim L; Willig, Laurel K; Rice, Brandon J; van Velkinburgh, Jennifer C; Mohney, Robert P; McDunn, Jonathan E; Dinwiddie, Darrell L; Miller, Neil A; Mayer, Eric S; Glickman, Seth W; Jaehne, Anja K; Glew, Robert H; Sopori, Mohan L; Otero, Ronny M; Harrod, Kevin S; Cairns, Charles B; Fowler, Vance G; Rivers, Emanuel P; Woods, Christopher W; Kingsmore, Stephen F; Langley, Raymond J
    A systems biology approach was used to comprehensively examine the impact of renal disease and hemodialysis (HD) on patient response during critical illness. To achieve this, we examined the metabolome, proteome, and transcriptome of 150 patients with critical illness, stratified by renal function. Quantification of plasma metabolites indicated greater change as renal function declined, with the greatest derangements in patients receiving chronic HD. Specifically, 6 uremic retention molecules, 17 other protein catabolites, 7 modified nucleosides, and 7 pentose phosphate sugars increased as renal function declined, consistent with decreased excretion or increased catabolism of amino acids and ribonucleotides. Similarly, the proteome showed increased levels of low-molecular-weight proteins and acute-phase reactants. The transcriptome revealed a broad-based decrease in mRNA levels among patients on HD. Systems integration revealed an unrecognized association between plasma RNASE1 and several RNA catabolites and modified nucleosides. Further, allantoin, N1-methyl-4-pyridone-3-carboxamide, and N-acetylaspartate were inversely correlated with the majority of significantly downregulated genes. Thus, renal function broadly affected the plasma metabolome, proteome, and peripheral blood transcriptome during critical illness; changes were not effectively mitigated by hemodialysis. These studies allude to several novel mechanisms whereby renal dysfunction contributes to critical illness.