Interdisciplinary Collaborations in Digital Health Research: Mixed Methods Case Study

BackgroundDigital innovations in medicine are disruptive technologies that can change the way diagnostic procedures and treatments are delivered. Such innovations are typically designed in teams with different disciplinary backgrounds. This paper concentrates on 2 interdiscip...

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Main Authors: Grit Krause-Jüttler, Jürgen Weitz, Ulrich Bork
Format: Article
Language:English
Published: JMIR Publications 2022-05-01
Series:JMIR Human Factors
Online Access:https://humanfactors.jmir.org/2022/2/e36579
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author Grit Krause-Jüttler
Jürgen Weitz
Ulrich Bork
author_facet Grit Krause-Jüttler
Jürgen Weitz
Ulrich Bork
author_sort Grit Krause-Jüttler
collection DOAJ
description BackgroundDigital innovations in medicine are disruptive technologies that can change the way diagnostic procedures and treatments are delivered. Such innovations are typically designed in teams with different disciplinary backgrounds. This paper concentrates on 2 interdisciplinary research teams with 20 members from the medicine and engineering sciences working jointly on digital health solutions. ObjectiveThe aim of this paper was to identify factors on the individual, team, and organizational levels that influence the implementation of interdisciplinary research projects elaborating on digital applications for medicine and, based on the results, to draw conclusions for the proactive design of the interdisciplinary research process to make these projects successful. MethodsTo achieve this aim, 2 interdisciplinary research teams were observed, and a small case study (response rate: 15/20, 75%) was conducted using a web-based questionnaire containing both closed and open self-report questions. The Spearman rank correlation coefficient was calculated to analyze the quantitative data. The answers to the open-ended questions were subjected to qualitative content analysis. ResultsWith regard to the interdisciplinary research projects investigated, the influencing factors of the three levels presented (individual, team, and organization) have proven to be relevant for interdisciplinary research cooperation. ConclusionsWith regard to recommendations for the future design of interdisciplinary cooperation, management aspects are addressed, that is, the installation of a coordinator, systematic definition of goals, required resources, and necessary efforts on the part of the involved interdisciplinary research partners. As only small groups were investigated, further research in this field is necessary to derive more general recommendations for interdisciplinary research teams. Trial RegistrationGerman Clinical Trials Register, DRKS00023909, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00023909 ; German Clinical Trials Register, DRKS00025077, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00025077
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spelling doaj.art-43c1428e4d3143d2a512e055a4a156882023-08-28T21:42:50ZengJMIR PublicationsJMIR Human Factors2292-94952022-05-0192e3657910.2196/36579Interdisciplinary Collaborations in Digital Health Research: Mixed Methods Case StudyGrit Krause-Jüttlerhttps://orcid.org/0000-0002-3741-0391Jürgen Weitzhttps://orcid.org/0000-0002-5760-6391Ulrich Borkhttps://orcid.org/0000-0003-0813-0136 BackgroundDigital innovations in medicine are disruptive technologies that can change the way diagnostic procedures and treatments are delivered. Such innovations are typically designed in teams with different disciplinary backgrounds. This paper concentrates on 2 interdisciplinary research teams with 20 members from the medicine and engineering sciences working jointly on digital health solutions. ObjectiveThe aim of this paper was to identify factors on the individual, team, and organizational levels that influence the implementation of interdisciplinary research projects elaborating on digital applications for medicine and, based on the results, to draw conclusions for the proactive design of the interdisciplinary research process to make these projects successful. MethodsTo achieve this aim, 2 interdisciplinary research teams were observed, and a small case study (response rate: 15/20, 75%) was conducted using a web-based questionnaire containing both closed and open self-report questions. The Spearman rank correlation coefficient was calculated to analyze the quantitative data. The answers to the open-ended questions were subjected to qualitative content analysis. ResultsWith regard to the interdisciplinary research projects investigated, the influencing factors of the three levels presented (individual, team, and organization) have proven to be relevant for interdisciplinary research cooperation. ConclusionsWith regard to recommendations for the future design of interdisciplinary cooperation, management aspects are addressed, that is, the installation of a coordinator, systematic definition of goals, required resources, and necessary efforts on the part of the involved interdisciplinary research partners. As only small groups were investigated, further research in this field is necessary to derive more general recommendations for interdisciplinary research teams. Trial RegistrationGerman Clinical Trials Register, DRKS00023909, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00023909 ; German Clinical Trials Register, DRKS00025077, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00025077https://humanfactors.jmir.org/2022/2/e36579
spellingShingle Grit Krause-Jüttler
Jürgen Weitz
Ulrich Bork
Interdisciplinary Collaborations in Digital Health Research: Mixed Methods Case Study
JMIR Human Factors
title Interdisciplinary Collaborations in Digital Health Research: Mixed Methods Case Study
title_full Interdisciplinary Collaborations in Digital Health Research: Mixed Methods Case Study
title_fullStr Interdisciplinary Collaborations in Digital Health Research: Mixed Methods Case Study
title_full_unstemmed Interdisciplinary Collaborations in Digital Health Research: Mixed Methods Case Study
title_short Interdisciplinary Collaborations in Digital Health Research: Mixed Methods Case Study
title_sort interdisciplinary collaborations in digital health research mixed methods case study
url https://humanfactors.jmir.org/2022/2/e36579
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