Using voice and speech data in healthcare: a scoping review of the ethical, legal and social implications

This scoping review analyzes ethical, legal, and social implications of healthcare voice biomarkers, highlighting privacy, consent, bias, regulation gaps, and the need for inclusive datasets and responsible governance frameworks.

Educational Objectives

Educational Aim:

After reading this article, participants should be able to identify and discuss the key ethical, legal, and social implications of using voice and speech biomarkers in healthcare and apply principles of responsible data governance in clinical and research settings.

Educational Outcomes:
Upon completion of this module practitioners should have a clear understanding of:

1. How to describe voice and speech data used as digital biomarkers in healthcare and the technologies that enable their analysis.
2. The methodology of a scoping review and the outline of the phases used to evaluate literature on healthcare voice biomarkers.
3. The major ethical concerns associated with voice data, including privacy risks, informed consent challenges, and data validation requirements.
4. Social implications such as bias, underrepresentation, and discrimination arising from non-diverse voice datasets.
5. Current legal and regulatory limitations affecting voice biomarker governance and the need for adapted frameworks.

Instructions for this Module

• Read the supplied reading material and complete the quiz that follows;
• You have three attempts to pass the quiz;
• The pass grade is 70%;
• You need to pass the quiz to claim your CPD certificate;
• Please click on the CPD certificate link below to claim your CPD certificate and to update your CPD Manager.

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