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

Matthias Klumpp; André Hanelt; Maike Greve; Lutz M. Kolbe; Schahin Tofangchi; Florian Böhrnsen; Jens Jakob; Sylvia Kaczmarek; Ingo Börsting; Christopher Ehmke; Helena Düsing; Christian Juhra

doi:10.3390/healthcare10112176

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

Matthias Klumpp^*, André Hanelt, Maike Greve, Lutz M. Kolbe, Schahin Tofangchi, Florian Böhrnsen, Jens Jakob, Sylvia Kaczmarek, Ingo Börsting, Christopher Ehmke, Helena Düsing, Christian Juhra

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

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.

Original language	English
Article number	2176
Journal	Healthcare (Switzerland)
Volume	10
Issue number	11
Number of pages	26
ISSN	2227-9032
DOIs	https://doi.org/10.3390/healthcare10112176
Publication status	Published - Nov 2022
Externally published	Yes

Keywords

Artificial intelligence
Cancer diagnosis
Digital health care
Emergency medicine
Front end
Human-centered computing
Inpatient data management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3390/healthcare10112176Licence: CC BY

Handle.net

Persistent link

Cite this

@article{71f0216c96c44283b60a6ca1361e0315,

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 M{\"u}nster and G{\"o}ttingen 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.",

keywords = "Artificial intelligence, Cancer diagnosis, Digital health care, Emergency medicine, Front end, Human-centered computing, Inpatient data management, Digital health care, Human-centered computing, Emergency medicine, Inpatient data management, Cancer diagnosi, Front end, Artificial intelligence",

author = "Matthias Klumpp and Andr{\'e} Hanelt and Maike Greve and Kolbe, {Lutz M.} and Schahin Tofangchi and Florian B{\"o}hrnsen and Jens Jakob and Sylvia Kaczmarek and Ingo B{\"o}rsting and Christopher Ehmke and Helena D{\"u}sing and Christian Juhra",

year = "2022",

month = nov,

doi = "10.3390/healthcare10112176",

language = "English",

volume = "10",

journal = "Healthcare (Switzerland)",

issn = "2227-9032",

publisher = "MDPI",

number = "11",

}

TY - JOUR

T1 - Accelerating the Front End of Medicine

T2 - Three Digital Use Cases and HCI Implications

AU - Klumpp, Matthias

AU - Hanelt, André

AU - Greve, Maike

AU - Kolbe, Lutz M.

AU - Tofangchi, Schahin

AU - Böhrnsen, Florian

AU - Jakob, Jens

AU - Kaczmarek, Sylvia

AU - Börsting, Ingo

AU - Ehmke, Christopher

AU - Düsing, Helena

AU - Juhra, Christian

PY - 2022/11

Y1 - 2022/11

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - Cancer diagnosis

KW - Digital health care

KW - Emergency medicine

KW - Front end

KW - Human-centered computing

KW - Inpatient data management

KW - Digital health care

KW - Human-centered computing

KW - Emergency medicine

KW - Inpatient data management

KW - Cancer diagnosi

KW - Front end

KW - Artificial intelligence

U2 - 10.3390/healthcare10112176

DO - 10.3390/healthcare10112176

M3 - Journal article

AN - SCOPUS:85149474989

SN - 2227-9032

VL - 10

JO - Healthcare (Switzerland)

JF - Healthcare (Switzerland)

IS - 11

M1 - 2176

ER -