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Case-Based Learning in Public Health Informatics

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Book cover Public Health Informatics and Information Systems

Part of the book series: Health Informatics ((HI))

Abstract

The public health landscape is undergoing profound changes, including rapid advances in technology, increasing use of electronic health records, and health reform. Improving population health requires knowledge and skills in managing and working within the adaptive complexity of underlying societal structures and functions. These advances in technology, and profound changes within these structures and functions, introduce enormous opportunities for creating efficiencies and economies of scale, not simply for improving public health practice, but for learning as well. Finding informatics solutions to cross-cutting information needs, while solving complex health problems, requires cross-disciplinary education, research, and practice.

Approaches to overcoming these challenges should address the complexity of problems within both the work and learning environments. These problem-based approachevs build skills in collaborative problem solving, critical thinking, systems thinking and lifelong learning. This chapter discusses case-based learning (CBL) as one of the methods for problem-based learning (PBL) and is aimed at the student of public health informatics (PHI) exploring this topic for the first time. The chapter concludes with a student exercise developed for fellows in the CDC Public Health Informatics Fellowship Program.

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Author information

Authors and Affiliations

  1. Public Health Informatics Fellowship Program, Scientific Education and Professional Development Program Office, Centers for Disease Control and Prevention (CDC), 1600 Clifton Rd NE, Mailstop E-92, Atlanta, GA, 30333, USA

    Herman Tolentino MD

  2. Public Health Informatics Fellowship program, Centers for Disease Control and Prevention, 1600 Clifton Road, MSE-92, Atlanta, GA, 30333, USA

    Sridhar R. Papagari Sangareddy MS (EECS), MS (MIS)

  3. Medical Sciences Library, Texas A&M University, 3950 North A.W. Grimes Blvd, Round Rock, TX, 78665, USA

    Catherine Pepper MLIS, MPH

  4. Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, 5th Floor or Biomedical Information Communication Center (BICC), 3181 S.W. Sam Jackson Park Rd., Portland, OR, 97239, USA

    J. A. Magnuson PhD

Authors
  1. Herman Tolentino MD
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  2. Sridhar R. Papagari Sangareddy MS (EECS), MS (MIS)
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  3. Catherine Pepper MLIS, MPH
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  4. J. A. Magnuson PhD
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Corresponding author

Correspondence to Herman Tolentino MD .

Editor information

Editors and Affiliations

  1. Department of Medical Informatics, Oregon Health & Science University, Portland, Oregon, USA

    J.A. Magnuson

  2. Harbor-UCLA Medical Center, Torrance, California, USA

    Paul C. Fu, Jr.

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© 2014 Springer-Verlag London

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Tolentino, H., Sangareddy, S.R.P., Pepper, C., Magnuson, J.A. (2014). Case-Based Learning in Public Health Informatics. In: Magnuson, J., Fu, Jr., P. (eds) Public Health Informatics and Information Systems. Health Informatics. Springer, London. https://doi.org/10.1007/978-1-4471-4237-9_25

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  • DOI: https://doi.org/10.1007/978-1-4471-4237-9_25

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4236-2

  • Online ISBN: 978-1-4471-4237-9

  • eBook Packages: MedicineMedicine (R0)

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