Healthsheet: Development of a Transparency Artifact for Health Datasets

Understand

Machine learning (ML) approaches have demonstrated promising results in a wide range of healthcare applications.

• Data plays a crucial role in developing ML-based healthcare systems that directly affect people's lives.
• Many of the ethical issues surrounding the use of ML in healthcare stem from structural inequalities underlying the way we collect, use, and handle data.
• Developing guidelines to improve documentation practices regarding the creation, use, and maintenance of ML healthcare datasets is therefore of critical importance.