This Practice Note examines data protection considerations in relation to digital health. It first explains the general concept of digital health, which encompasses mHealth, mobile apps, telemedicine, machine learning, etc, and provides some background on the increasing use of digital health solutions in the life sciences sector. It also provides an overview of the regulatory authorities and key stakeholders in different jurisdictions: EU, UK, France and Germany. This Practice Note then analyses the data protection challenges posed by digital health through three different case studies, covering a wide range of digital health technology applications: wearables (ie devices that remotely monitor patients in real time in non-clinical environments to improve patient care and medical diagnosis), artificial intelligence (AI) diagnostic tools (ie AI tool which analyses mammograms and radiology images to predict diagnosis) and digital health records (ie medical software). Key concepts of applicable data protection laws, including the General Data Protection Regulation (GDPR), are examined through these case studies: role of the relevant parties (controller, processor or joint controller of personal data), applicable legal basis, transparency, accuracy, anonymisation, special category data, secondary use of personal data, security, data transfers, data hosting, data subject rights, and cookies.