[{"user_id":"116246","_id":"59716","language":[{"iso":"eng"}],"type":"journal_article","publication":"Big Data &amp; Society","status":"public","abstract":[{"text":"Against the background of the increasing importance of digitization in health care, the paper examines how medical practitioners who are involved in the development of digital health technologies legitimate and criticize the implementation and use of digital health technologies. Adopting an institutional logics perspective, the study is based on qualitative interviews with persons working at the interface of medicine and digital technologies development in Switzerland. The findings indicate that the developers believe that digital health technologies could harmonize current conflicts between an increasing economization of the health care system and professional–ethical demands. At the same time, however, they show that digital technologies can undermine the demand for medical autonomy, a central element of the medical ethos. </jats:p>","lang":"eng"}],"author":[{"full_name":"Lenz, Sarah","last_name":"Lenz","first_name":"Sarah"}],"date_created":"2025-04-29T12:51:21Z","volume":8,"publisher":"SAGE Publications","date_updated":"2025-04-29T12:57:42Z","doi":"10.1177/2053951721996733","title":"“More like a support tool”: Ambivalences around digital health from medical developers’ perspective","issue":"1","publication_status":"published","publication_identifier":{"issn":["2053-9517","2053-9517"]},"citation":{"apa":"Lenz, S. (2021). “More like a support tool”: Ambivalences around digital health from medical developers’ perspective. <i>Big Data &#38;amp; Society</i>, <i>8</i>(1). <a href=\"https://doi.org/10.1177/2053951721996733\">https://doi.org/10.1177/2053951721996733</a>","mla":"Lenz, Sarah. “‘More like a Support Tool’: Ambivalences around Digital Health from Medical Developers’ Perspective.” <i>Big Data &#38;amp; Society</i>, vol. 8, no. 1, SAGE Publications, 2021, doi:<a href=\"https://doi.org/10.1177/2053951721996733\">10.1177/2053951721996733</a>.","short":"S. Lenz, Big Data &#38;amp; Society 8 (2021).","bibtex":"@article{Lenz_2021, title={“More like a support tool”: Ambivalences around digital health from medical developers’ perspective}, volume={8}, DOI={<a href=\"https://doi.org/10.1177/2053951721996733\">10.1177/2053951721996733</a>}, number={1}, journal={Big Data &#38;amp; Society}, publisher={SAGE Publications}, author={Lenz, Sarah}, year={2021} }","ama":"Lenz S. “More like a support tool”: Ambivalences around digital health from medical developers’ perspective. <i>Big Data &#38;amp; Society</i>. 2021;8(1). doi:<a href=\"https://doi.org/10.1177/2053951721996733\">10.1177/2053951721996733</a>","chicago":"Lenz, Sarah. “‘More like a Support Tool’: Ambivalences around Digital Health from Medical Developers’ Perspective.” <i>Big Data &#38;amp; Society</i> 8, no. 1 (2021). <a href=\"https://doi.org/10.1177/2053951721996733\">https://doi.org/10.1177/2053951721996733</a>.","ieee":"S. Lenz, “‘More like a support tool’: Ambivalences around digital health from medical developers’ perspective,” <i>Big Data &#38;amp; Society</i>, vol. 8, no. 1, 2021, doi: <a href=\"https://doi.org/10.1177/2053951721996733\">10.1177/2053951721996733</a>."},"intvolume":"         8","year":"2021"},{"status":"public","abstract":[{"text":"<jats:p> The potential for biases being built into algorithms has been known for some time (e.g., Friedman and Nissenbaum, 1996), yet literature has only recently demonstrated the ways algorithmic profiling can result in social sorting and harm marginalised groups (e.g., Browne, 2015; Eubanks, 2018; Noble, 2018). We contend that with increased algorithmic complexity, biases will become more sophisticated and difficult to identify, control for, or contest. Our argument has four steps: first, we show how harnessing algorithms means that data gathered at a particular place and time relating to specific persons, can be used to build group models applied in different contexts to different persons. Thus, privacy and data protection rights, with their focus on individuals (Coll, 2014; Parsons, 2015), do not protect from the discriminatory potential of algorithmic profiling. Second, we explore the idea that anti-discrimination regulation may be more promising, but acknowledge limitations. Third, we argue that in order to harness anti-discrimination regulation, it needs to confront emergent forms of discrimination or risk creating new invisibilities, including invisibility from existing safeguards. Finally, we outline suggestions to address emergent forms of discrimination and exclusionary invisibilities via intersectional and post-colonial analysis. </jats:p>","lang":"eng"}],"publication":"Big Data & Society","type":"journal_article","language":[{"iso":"eng"}],"article_number":"205395171989580","department":[{"_id":"757"}],"user_id":"49063","_id":"28148","intvolume":"         6","citation":{"apa":"Mann, M., &#38; Matzner, T. (2019). Challenging algorithmic profiling: The limits of data protection and anti-discrimination in responding to emergent discrimination. <i>Big Data &#38; Society</i>, <i>6</i>(2), Article 205395171989580. <a href=\"https://doi.org/10.1177/2053951719895805\">https://doi.org/10.1177/2053951719895805</a>","mla":"Mann, Monique, and Tobias Matzner. “Challenging Algorithmic Profiling: The Limits of Data Protection and Anti-Discrimination in Responding to Emergent Discrimination.” <i>Big Data &#38; Society</i>, vol. 6, no. 2, 205395171989580, 2019, doi:<a href=\"https://doi.org/10.1177/2053951719895805\">https://doi.org/10.1177/2053951719895805</a>.","short":"M. Mann, T. Matzner, Big Data &#38; Society 6 (2019).","bibtex":"@article{Mann_Matzner_2019, title={Challenging algorithmic profiling: The limits of data protection and anti-discrimination in responding to emergent discrimination}, volume={6}, DOI={<a href=\"https://doi.org/10.1177/2053951719895805\">https://doi.org/10.1177/2053951719895805</a>}, number={2205395171989580}, journal={Big Data &#38; Society}, author={Mann, Monique and Matzner, Tobias}, year={2019} }","ieee":"M. Mann and T. Matzner, “Challenging algorithmic profiling: The limits of data protection and anti-discrimination in responding to emergent discrimination,” <i>Big Data &#38; Society</i>, vol. 6, no. 2, Art. no. 205395171989580, 2019, doi: <a href=\"https://doi.org/10.1177/2053951719895805\">https://doi.org/10.1177/2053951719895805</a>.","chicago":"Mann, Monique, and Tobias Matzner. “Challenging Algorithmic Profiling: The Limits of Data Protection and Anti-Discrimination in Responding to Emergent Discrimination.” <i>Big Data &#38; Society</i> 6, no. 2 (2019). <a href=\"https://doi.org/10.1177/2053951719895805\">https://doi.org/10.1177/2053951719895805</a>.","ama":"Mann M, Matzner T. Challenging algorithmic profiling: The limits of data protection and anti-discrimination in responding to emergent discrimination. <i>Big Data &#38; Society</i>. 2019;6(2). doi:<a href=\"https://doi.org/10.1177/2053951719895805\">https://doi.org/10.1177/2053951719895805</a>"},"year":"2019","issue":"2","publication_identifier":{"issn":["2053-9517","2053-9517"]},"publication_status":"published","doi":"https://doi.org/10.1177/2053951719895805","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1177/2053951719895805"}],"title":"Challenging algorithmic profiling: The limits of data protection and anti-discrimination in responding to emergent discrimination","volume":6,"date_created":"2021-11-30T16:25:46Z","author":[{"last_name":"Mann","full_name":"Mann, Monique","first_name":"Monique"},{"first_name":"Tobias","last_name":"Matzner","full_name":"Matzner, Tobias","id":"65695"}],"date_updated":"2023-03-17T10:30:05Z","oa":"1"}]