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Paper Type
Complete
Description
The use of electronic health records (EHRs) offers many benefits, but users are also critical of them because of concerns about privacy and the sensitivity of health data. Given the ambiguity of data sensitivity, we examine which characteristics of health data influence users' upload behavior, and which are perceived as sensitive. A semi-structured interview (N=30) was conducted to locate characteristics of health data, which influence the user's upload behavior. These characteristics were then empirically evaluated in a user study (N=50). The complexity of diseases and their stigmatization potential are characteristics which influence the uploading behavior. We verify empirically that the uploading of health data is rejected when there is a high potential for stigmatization, while it is accepted when the complexity of the disease increases. Health data are considered by users to have different sensitivities, relative to stigmatization potential. Privacy Calculus regarding EHRs should consider these characteristics of health data.
Paper Number
1143
Recommended Citation
von Kalckreuth, Niklas; Prümper, Alina Marie; and Feufel, Markus A., "The Influence of Health Data on the Use of the Electronic Health Record (EHR) – a Mixed Methods Approach" (2023). AMCIS 2023 Proceedings. 2.
https://aisel.aisnet.org/amcis2023/sig_health/sig_health/2
The Influence of Health Data on the Use of the Electronic Health Record (EHR) – a Mixed Methods Approach
The use of electronic health records (EHRs) offers many benefits, but users are also critical of them because of concerns about privacy and the sensitivity of health data. Given the ambiguity of data sensitivity, we examine which characteristics of health data influence users' upload behavior, and which are perceived as sensitive. A semi-structured interview (N=30) was conducted to locate characteristics of health data, which influence the user's upload behavior. These characteristics were then empirically evaluated in a user study (N=50). The complexity of diseases and their stigmatization potential are characteristics which influence the uploading behavior. We verify empirically that the uploading of health data is rejected when there is a high potential for stigmatization, while it is accepted when the complexity of the disease increases. Health data are considered by users to have different sensitivities, relative to stigmatization potential. Privacy Calculus regarding EHRs should consider these characteristics of health data.
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SIG Health