dha723 | Graduate

Executive Information Systems

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This course focuses on the use of financial systems, decision modeling programs, and advanced clinical information systems in formulating the strategic direction of modern health care systems. Practical experience using the University's information technology partners introduces students to the richness of modern data systems. Simulations include quality improvement applications, including statistical process control methodology. Competency A: Evaluate evidenced based ramifications of evolving e-health applications. Competency B: Analyze effectiveness of security mechanisms in a healthcare provider organization. Competency C: Assess the challenges associated with integrating e-health applications. Competency D: Assess the influence of e-health and telemedicine trends. Competency E: Analyze the quality cost paradigm related to the transition from legacy systems to e-health applications. Competency F: Utilize current and future challenges in healthcare analytics to monitor implementation, adoption, and unanticipated outcomes.

This graduate-level course is 8 weeks To enroll, speak with an Enrollment Representative.

Course details:

Credits: 3
Continuing education units: XX
Professional development units: XX
Duration: 8 weeks

topic title goes here

    Data Collection, Data Mining, and Electronic Data Interchange (EDI)

    • Competency C: Assess the challenges associated with integrating e-health applications. [Wk 4]
    • Competency D: Assess the influence of e-health and telemedicine trends. [Wk 4]
    • Competency E: Analyze the quality cost paradigm related to the transition from legacy systems to e-health applications. [Wk 4]
    • Competency F: Utilize current and future challenges in healthcare analytics to monitor implementation, adoption, and unanticipated outcomes. [Wk 4]
    • Competency A: Evaluate evidenced based ramifications of evolving e-health applications. [Wk 4]
    • Competency B: Analyze effectiveness of security mechanisms in a healthcare provider organization. [Wk 4]

    Government, Legislative, and Regulatory Influences on Information Systems

    • Competency A: Evaluate evidenced based ramifications of evolving e-health applications. [Wk 5]
    • Competency B: Analyze effectiveness of security mechanisms in a healthcare provider organization. [Wk 5]
    • Competency C: Assess the challenges associated with integrating e-health applications. [Wk 5]
    • Competency D: Assess the influence of e-health and telemedicine trends. [Wk 5]
    • Competency E: Analyze the quality cost paradigm related to the transition from legacy systems to e-health applications. [Wk 5]
    • Competency F: Utilize current and future challenges in healthcare analytics to monitor implementation, adoption, and unanticipated outcomes. [Wk 5]

    Telemedicine, Smart Devices, and e-Health Applications

    • Competency C: Assess the challenges associated with integrating e-health applications. [Wk 7]
    • Competency A: Evaluate evidenced based ramifications of evolving e-health applications. [Wk 7]
    • Competency B: Analyze effectiveness of security mechanisms in a healthcare provider organization. [Wk 7]
    • Competency D: Assess the influence of e-health and telemedicine trends. [Wk 7]
    • Competency E: Analyze the quality cost paradigm related to the transition from legacy systems to e-health applications. [Wk 7]
    • Competency F: Utilize current and future challenges in healthcare analytics to monitor implementation, adoption, and unanticipated outcomes. [Wk 7]

    Reading Week

    • Competency B: Analyze effectiveness of security mechanisms in a healthcare provider organization. [Wk 2]
    • Competency C: Assess the challenges associated with integrating e-health applications. [Wk 2]
    • Competency D: Assess the influence of e-health and telemedicine trends. [Wk 2]
    • Competency A: Evaluate evidenced based ramifications of evolving e-health applications. [Wk 2]
    • Competency F: Utilize current and future challenges in healthcare analytics to monitor implementation, adoption, and unanticipated outcomes. [Wk 2]
    • Competency E: Analyze the quality cost paradigm related to the transition from legacy systems to e-health applications. [Wk 2]

    Electronic Medical Records, Data Analytics, and Decision-Making Software

    • Competency A: Evaluate evidenced based ramifications of evolving e-health applications. [Wk 6]
    • Competency B: Analyze effectiveness of security mechanisms in a healthcare provider organization. [Wk 6]
    • Competency C: Assess the challenges associated with integrating e-health applications. [Wk 6]
    • Competency D: Assess the influence of e-health and telemedicine trends. [Wk 6]
    • Competency E: Analyze the quality cost paradigm related to the transition from legacy systems to e-health applications. [Wk 6]
    • Competency F: Utilize current and future challenges in healthcare analytics to monitor implementation, adoption, and unanticipated outcomes. [Wk 6]

    Implementation and Adoption

    • Competency A: Evaluate evidenced based ramifications of evolving e-health applications. [Wk 8]
    • Competency B: Analyze effectiveness of security mechanisms in a healthcare provider organization. [Wk 8]
    • Competency C: Assess the challenges associated with integrating e-health applications. [Wk 8]
    • Competency D: Assess the influence of e-health and telemedicine trends. [Wk 8]
    • Competency E: Analyze the quality cost paradigm related to the transition from legacy systems to e-health applications. [Wk 8]
    • Competency F: Utilize current and future challenges in healthcare analytics to monitor implementation, adoption, and unanticipated outcomes. [Wk 8]

    Perspectives on the Components of Electronic Data Systems

    • Competency A: Evaluate evidenced based ramifications of evolving e-health applications. [Wk 3]
    • Competency B: Analyze effectiveness of security mechanisms in a healthcare provider organization. [Wk 3]
    • Competency C: Assess the challenges associated with integrating e-health applications. [Wk 3]
    • Competency D: Assess the influence of e-health and telemedicine trends. [Wk 3]
    • Competency E: Analyze the quality cost paradigm related to the transition from legacy systems to e-health applications. [Wk 3]
    • Competency F: Utilize current and future challenges in healthcare analytics to monitor implementation, adoption, and unanticipated outcomes. [Wk 3]
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