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Enhancing Nursing Informatics Education Through Homeless Population CQI Projects

Discover how nursing informatics students utilize archived data to create quality improvement projects for the homeless community. Learn how to incorporate real-world data into coursework and enhance problem-solving skills. Explore the Data-to-Decision model and its impact on student learning. Join us at the AMIA 2018 Informatics Educators Forum for an enlightening session.

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Enhancing Nursing Informatics Education Through Homeless Population CQI Projects

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  1. Utilizing Nursing Informatics Students to Identify Continuous Quality Improvement • Projects Based on Archived Data for the Homeless Population • Session05 Amy Campbell, DNP, RN ClistaClanton, MSLS University of South Alabama Twitter: #IEF2018

  2. Disclosure • I and my spouse/partner have no relevant relationships with commercial interests to disclose. AMIA 2018 Informatics Educators Forum | amia.org

  3. Learning Objectives • After participating in this session the learner should be better able to: • Enhance current course work with realistic (not idealistic) data and community needs • Involve a higher level of thinking and problem solving of their students by looking at the data first • Utilize the Data-to-Decision model to actively enhance their course AMIA 2018 Informatics Educators Forum | amia.org

  4. Introduction • USA Health and Wellness Center • Health and psychological screening for the homeless community once a year. • Data has been gathered at each of these events devoid of PHI- eliminating the ability to track patients from year to year. • All participants are volunteer based and roles change yearly. AMIA 2018 Informatics Educators Forum | amia.org

  5. Introduction • Masters Level Nursing Informatic Students: • Study theory, models, frameworks and EBPs • Have just started first of two 120 clinical hours • No Data Analysis course provide at the MSN level- only DNP • Students lack experience with raw data AMIA 2018 Informatics Educators Forum | amia.org

  6. Methodology • Data-to-Decision Model AMIA 2018 Informatics Educators Forum | amia.org

  7. Methodology • Data-to-Decision Model • Decision–Created CQI project on how to address need and improve care based on findings and how to maintain these changes • Wisdom–Students recommended changes to care and screening provided based on the Homeless Community needs and academic process • Knowledge–Combined theorists/framework with research to guide topic • Information– Students created graphs to ID visual patterns • Data– Students were given access to raw data in a secure database AMIA 2018 Informatics Educators Forum | amia.org

  8. Discussion and Conclusion • This course was focused heavily on CQI Theory and Processes within Nursing Informatics and course/learning objectives remained the same. • The main difficulty in the design of this course is that students have yet to have any clinical experience in the role of a NI. • Students have basic understanding of data collection (structured versus unstructured data), and that it should be used to determine interventions/outcomes, but do not know how to work with data to direct changes. • As a result each assignment was a mixture of theory and process with a focus on the Homeless Population. AMIA 2018 Informatics Educators Forum | amia.org

  9. AMIA is the professional home for more than 5,400 informatics professionals, representing frontline clinicians, researchers, public health experts and educators who bring meaning to data, manage information and generate new knowledge across the research and healthcare enterprise. AMIA 2018 Informatics Educators Forum | amia.org

  10. Thank you! Email me at: amycampbell@southalabama.edu

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