Programpunkter

Separate registration required: https://www.mie2023.org/tutorials, Transitioning from data to a clinical decision support system able tobenefit patients involves a plethora of perspectives within the following domains:clinical, legal, technical, managerial, and system development. This requires multiplepartners such as healthcare providers, universities, authorities and technologyproviders to join forces. In this tutorial the partners Region Halland, SahlgrenskaUniversity Hospital, Swedish Authority for Privacy Protection, Halmstad University,AI Sweden, HallandiaV, and the Netherlands eScience Center will give theirperspectives and deep-dive into several of the challenges and possibilities of the realizationof Clinical Decisions Support Systems (CDSS), for the specific use-caseof heart failure readmission prediction.

Digital health innovations are designed to help save time, boost accuracy and efficiency, and combine technologies in ways that will revolutionize the new digital healthcare era. By optimizing the right tools and open system platforms increases the innovation for healthcare - which has created tangible benefits for the entire healthcare-chain from the profession to patient with real-time access to patient information and improving care processes. Finland is the frontrunner in implementing open data in ecosystem platforms, learn how the CIO Toni Suihko from Kanta-Häme Hospital District (KHSHP) has increased the speed of healthcare innovations.

This presentation is about our work on a brain tumor detection using clustering methods. The ultimate goal is to use this process in a Digital Twin prototype

Lets talk about interoperable order set creation than can be used by any EMR