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Advances in Biomedical Informatics pp 5–34Cite as

Digital Health Research Methods and Tools: Suggestions and Selected Resources for Researchers

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 137))

Abstract

This chapter provides an overview of digital health research, aimed at people new to conducting investigations in this field who seek to engage seriously with patients, clients and consumers. Digital health is not a scientific discipline. This chapter argues that health and biomedical informatics offers a strong scholarly basis for research in this field, and it outlines the theoretical and conceptual frameworks, ethical considerations, research methods, and examples of tools applicable for studies of digital health interventions. Researchers from clinical, IT, engineering and similar domains who plan to undertake studies involving digital health applications will be introduced to methodologies such as using guidelines and standards, performance indicators, validated input models and outcome measures, and evaluation resources. In the specific area of consumer health informatics research, an increasing array of tools and methods exist to investigate the interaction between consumers and their health data. In addition this chapter discusses research methods with health apps, patient-generated health data, social media and wearable self-tracking devices. Practical advice is given on techniques such as critically appraising digital health research literature, primary data collection from devices and services, study reporting and publishing results.

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  1. Health and Biomedical Informatics Centre, The University of Melbourne, Parkville, VIC 3010, Australia

    Kathleen Gray & Cecily Gilbert

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    Dawn E. Holmes

  2. KES International , Adelaide, South Australia, Australia

    Lakhmi C. Jain

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Gray, K., Gilbert, C. (2018). Digital Health Research Methods and Tools: Suggestions and Selected Resources for Researchers. In: Holmes, D., Jain, L. (eds) Advances in Biomedical Informatics. Intelligent Systems Reference Library, vol 137. Springer, Cham. https://doi.org/10.1007/978-3-319-67513-8_2

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