Logo des Repositoriums

Auflistung nach Autor:in "Zakreuskaya, Anastasiya"

1 - 3 von 3
  • Konferenzbeitrag
    From Text to Treatment: How Medical Discharge Letters Are Used as a Key Artifact for Managing Patient Care
    (Proceedings of Mensch und Computer 2024, 2024) Zakreuskaya, Anastasiya; Buschek, Daniel; Mackay, Wendy E.; Avellino, Ignacio; Dove, Graham; Eskofier, Bjoern M
    Hospital physicians must navigate through vast quantities of patient information represented in text-based reports. Although intended to improve patient care, their effectiveness hinges on each physician’s ability to successfully handle and interpret fragmented information from diverse sources. The increasing automation of text interactions are a potential support but are still at the early phase of implementation in real-world scenarios. We observed 144 hours of clinical shifts in a German internal medicine hospital and collected structured field notes on physicians’ current practices with text-based reports to enrich existing understanding of the requirements for including automation to clinical text. We identified medical discharge letters as most frequently consulted text document and a qualitative analysis of the field notes revealed that this document acts as a key artifact that serves different roles and purposes in the hospitalization of a patient. Based on our findings we discuss possible loss of these nuanced uses through automation and propose design implications for medical text reports.
  • Workshop
    Workshop on Generative Artificial Intelligence in Interactive Systems: Experiences from the Community
    (Mensch und Computer 2024 - Workshopband, 2024) Zakreuskaya, Anastasiya; Münch, Tobias; Detjen, Henrik; Mayer, Sven; Elagroudy, Passant; Pfleging, Bastian; Draxler, Fiona; Weyers, Benjamin; Gruenefeld, Uwe; Auda, Jonas; Titov, Waldemar; Mackay, Wendy E.; Buschek, Daniel; Kosch, Thomas
    Generative Artificial Intelligence (GenAI) is establishing itself in academia and industry through accessible implementations like ChatGPT and Stable Diffusion. Subsequently, GenAI is changing the interaction paradigms between users and computers. Currently, many individual approaches exist to leverage these tools, creating various strategies and agendas for using them in HCI research. Thus, we expect this will change how researchers design and create interactive interfaces. This workshop facilitates a common understanding of GenAI concerning HCI in which participants will share and discuss their experiences using GenAI and Large Language Models (LLMs) in HCI research. In this workshop, the potential of GenAI for Human-Computer Interaction will be explored and discussed with the research community through position papers, research statements, and opinions, thereby creating comprehensive practical insights synthesizing collective experience and strategies with real-world examples.
  • Workshopbeitrag
    Your Health, Your Data: Combining Interdisciplinary Views, Concepts, and Practices to Empower Patients in Their Engagement With Personal Health Data
    (Mensch und Computer 2023 - Workshopband, 2023) Flaucher, Madeleine; Zakreuskaya, Anastasiya; Jaeger, Katharina; Richer, Robert; Smeddinck, Jan David; Kumar, Devender; Grimme, Sophie; Klein, Julia; Hrynyschyn, Robert; Eskofier, Bjoern; Leutheuser, Heike
    The collection and use of personal data is increasing and new developments in Big Data Analytics allow for innovative applications. Recent developments in healthcare such as the proposal of the European Health Data Space point towards a more data-driven future of diagnostics and therapy. These developments lead to new challenges, especially in how to design interaction between individuals and their personal health data. With this proposed workshop we want to stimulate discussion about these challenges from the interaction perspective and critically ask, where our health data should lie in the future and who will be owning it.