Using Technology for Evaluation and Support of Patients’ Emotional States in Healthcare
Wilson, Andrew and Prescott, J. and Krasniewicz, Jan (2016) Using Technology for Evaluation and Support of Patients’ Emotional States in Healthcare. In: Emotions, Technology and Health. Elsevier, pp. 3-21. ISBN 9780128017371
Full text not available from this repository. (Request a copy)Abstract
People who are diagnosed with an illness may experience negative emotions which impact their lives; anxiety and depression being common. Doctors need to be able to relate to their patients as this has been shown to improve satisfaction with their care. To assist with identifying levels of anxiety and depression, a range of scales have been established. There has also been a shift from traditional pen and paper approaches of collecting data to more technical solutions. Biofeedback sensors including heart rate monitors, electroencephalograms, and facial recognition have also been investigated as ways of detecting emotions in healthcare settings. Incorporating these into computer games has helped teach people self-management skills as well as training doctors how to respond to their patients. This work will illustrate how technology can help doctors understand how their patients are feeling; supporting the collection of assessment data and how computerized tools can be used to assist in the management of a person's emotional state.
| Item Type: | Book Section | ||||
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| Uncontrolled Keywords: | Emotions; Anxiety; Depression; Healthcare; Technology; Biofeedback; AI; Games | ||||
| Subjects: | CAH02 - subjects allied to medicine > CAH02-05 - medical sciences > CAH02-05-01 - medical technology CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science |
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| Divisions: | Faculty of Computing, Engineering and the Built Environment Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology |
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| Depositing User: | Ian Mcdonald | ||||
| Date Deposited: | 27 Feb 2017 12:27 | ||||
| Last Modified: | 22 Mar 2023 12:01 | ||||
| URI: | https://www.open-access.bcu.ac.uk/id/eprint/3938 |
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