Abstract
In order to have tools supportive of DSM 5, we first need to start with an understanding of the validity and reliability of psychiatric diagnoses. Inherent to the success of what can be built is the ability to maintain both the face validity and test validity of the diagnostic schema. The authors begin this chapter with a discussion regarding the development of DSM 5. They consider how technology can support accurate diagnosis and treatment planning. In the planning of the DSM-5 revision, attention was given to address concerns regarding previous editions. Research into the validity and reliability of the DSM-IV diagnostic constructs revealed problems regarding test-retest reliability. There was also the logistical challenge of accurate data collection across thousands of patients and multiple centers, compilation and analysis of that data in an expedient fashion, and the application of the most current advances in statistical measures of reliability and validity. In summary, the logistical challenges around creating and coordinating a multi-site system for surveying and collecting data across thousands of patients and hundreds of providers, research coordinators, and analysts was solved with the involvement of REDCap. The technological tool to assist with data collection and a central data management function elevated psychiatry beyond the ancient system of one provider to one patient, and created a wealth of possibilities for how to use this data beyond the research for DSM 5.
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Clark, N., Herman, T., Halverson, J., Trivedi, H.K. (2015). Technology Tools Supportive of DSM-5: An Overview. In: Dewan, N., Luo, J., Lorenzi, N. (eds) Mental Health Practice in a Digital World. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-319-14109-1_10
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DOI: https://doi.org/10.1007/978-3-319-14109-1_10
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