The Issues with Using Artificial Intelligence in Mobile Health Applications

Karaca U.

3. International Congress on Medical Informatics, İstanbul, Türkiye, 28 Ağustos - 30 Eylül 2023, ss.34-35

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.34-35
  • İstanbul Üniversitesi Adresli: Evet

Özet

With technological advancements, the healthcare sector, like all other fields, is also undergoing digital transformation. Diagnosis, treatment, and monitoring services in the healthcare sector are being transferred to the digital environment, and electronic health applications are becoming increasingly widespread. One of the prominent innovations in this context is mobile health applications. Thanks to the developed mobile health applications, individuals can access personal health services wherever and whenever they want. Along with the benefits, mobile health applications also bring some risks. The foremost risk is the potential breaches related to the personal health data processed multiple times within the operational cycle of mobile health applications.

Thanks to artificial intelligence's high connectivity detection capacity, it becomes possible to associate data that may not appear as personal data at first glance with a real individual, even including data sets that have undergone special anonymization techniques, making re-identification possible. Considering the high capacity of modern artificial intelligence systems in processing a large volume of personal data, there is a risk that the regulations for protecting personal data may become insufficient in the face of current developments. Considering these reasons, the processing of personal data by artificial intelligence in mobile health applications increases concerns about data security. Various regulations and principles have been envisaged to address these concerns and ensure the legal security of data processing.

The adequacy of existing legal safeguards in the face of current developments in mobile health applications needs to be evaluated. In this context, our study will first focus on the conditions for processing personal data in our legal framework and the exceptional regulations concerning special categories of personal data. Then, we will try to highlight the risks that may arise from the processing of data by artificial intelligence and present potential solutions to address these issues.