This chapter discusses the potential of digital phenotyping to ameliorate epistemic injustice in mental health. Digital phenotyping, which analyses behavioural patterns from user data or smart devices, shows promise in improving mental health care. While concerns exist that it may exacerbate epistemic injustice by overshadowing individual experiences, the chapter presents a different viewpoint. Through a fictional case study, digital phenotyping is portrayed as aiding individuals seeking help by offering more accurate evidence and supporting shared decision-making. The objection that digital technology overrides personal claims is countered by arguing against absolute epistemic priority for any diagnostic tool in medicine. The chapter acknowledges the need for technological advancements and ethical considerations but maintains a positive outlook on the future of digital phenotyping in mental health care.
Elisabetta Lalumera (2024). Ameliorating epistemic injustice with digital health technologies. London : Palgrave Macmillan [10.1007/978-3-031-68881-2_8].
Ameliorating epistemic injustice with digital health technologies
Elisabetta Lalumera
Primo
2024
Abstract
This chapter discusses the potential of digital phenotyping to ameliorate epistemic injustice in mental health. Digital phenotyping, which analyses behavioural patterns from user data or smart devices, shows promise in improving mental health care. While concerns exist that it may exacerbate epistemic injustice by overshadowing individual experiences, the chapter presents a different viewpoint. Through a fictional case study, digital phenotyping is portrayed as aiding individuals seeking help by offering more accurate evidence and supporting shared decision-making. The objection that digital technology overrides personal claims is countered by arguing against absolute epistemic priority for any diagnostic tool in medicine. The chapter acknowledges the need for technological advancements and ethical considerations but maintains a positive outlook on the future of digital phenotyping in mental health care.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.