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October 30, 2022
Journal Article
Title

Accelerating the Front End of Medicine: Three Digital Use Cases and HCI Implications

Abstract
Digital applications in health care are a concurrent research and management question, where implementation experiences are a core field of information systems research. It also contributes to fighting pandemic crises like COVID-19 because contactless information flow and speed of diagnostics are improved. This paper presents three digital application case studies from emergency medicine, administration management, and cancer diagnosis with AI support from the University Medical Centers of Münster and Göttingen in Germany. All cases highlight the potential of digitalization to increase speed and efficiency within the front end of medicine as the crucial phase before patient treatment starts. General challenges for health care project implementations and human-computer interaction (HCI) concepts in health care are derived and discussed, including the importance of specific processes together with user analysis and adaption. A derived concept for HCI includes the criteria speed, accuracy, modularity, and individuality to achieve sustainable improvements within the front end of medicine.
Author(s)
Klumpp, Matthias  
Fraunhofer-Institut für Materialfluss und Logistik IML  
Hanelt, André
Universität Kassel  
Greve, Maike
Universität Göttingen
Kolbe, Lutz M.
Universität Göttingen
Tofangchi, Schahin
Soramitsu Co.
Böhrnsen, Florian
Universität Göttingen
Jakob, Jens
Universität Göttingen
Kaczmarek, Sylvia  
Fraunhofer-Institut für Materialfluss und Logistik IML  
Börsting, Ingo
Universität Duisburg-Essen  
Ehmke, Christopher
Univ. Duisburg-Essen  
Düsing, Helena
Westfälische Wilhelms-Universität Münster  
Juhra, Christina
Westfälische Wilhelms-Universität Münster  
Journal
Healthcare. Online-Ressource  
Open Access
DOI
10.3390/healthcare10112176
10.24406/publica-1302
File(s)
Accelerating_the_Front_End_of_Medicine_Klumpp_Matthias.pdf (2.97 MB)
Rights
CC BY 4.0: Creative Commons Attribution
Language
English
Fraunhofer-Institut für Materialfluss und Logistik IML  
Keyword(s)
  • digital health care

  • human-centered computing

  • emergency medicine

  • inpatient data management

  • cancer diagnosis

  • front end

  • artificial intelligence

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