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Verfasst von:Görtz, Magdalena [VerfasserIn]   i
 Byczkowski, Michael [VerfasserIn]   i
 Rath, Mathias [VerfasserIn]   i
 Schütz, Viktoria [VerfasserIn]   i
 Reimold, Philipp [VerfasserIn]   i
 Gasch, Claudia [VerfasserIn]   i
 Simpfendörfer, Tobias [VerfasserIn]   i
 März, Keno [VerfasserIn]   i
 Seitel, Alexander [VerfasserIn]   i
 Nolden, Marco [VerfasserIn]   i
 Roß, Tobias [VerfasserIn]   i
 Mindroc-Filimon, Diana [VerfasserIn]   i
 Michael, Dominik [VerfasserIn]   i
 Metzger, Jasmin [VerfasserIn]   i
 Onogur, Sinan [VerfasserIn]   i
 Speidel, Stefanie [VerfasserIn]   i
 Mündermann, Lars [VerfasserIn]   i
 Fallert, Johannes [VerfasserIn]   i
 Müller, Michael [VerfasserIn]   i
 Knebel Doeberitz, Magnus von [VerfasserIn]   i
 Teber, Dogu [VerfasserIn]   i
 Seitz, Peter [VerfasserIn]   i
 Maier-Hein, Lena [VerfasserIn]   i
 Duensing, Stefan [VerfasserIn]   i
 Hohenfellner, Markus [VerfasserIn]   i
Titel:A platform and multisided market for translational, software-defined medical procedures in the operating room (OP 4.1)
Titelzusatz:proof-of-concept study
Verf.angabe:Magdalena Görtz, MD, Dr med; Michael Byczkowski, Dipl-Math; Mathias Rath, MD; Viktoria Schütz, MD, Dr med; Philipp Reimold, MD, Dr med; Claudia Gasch, MD, Dr med; Tobias Simpfendörfer, MD, Dr med; Keno März, PhD; Alexander Seitel, PhD; Marco Nolden, PhD; Tobias Ross; Diana Mindroc-Filimon; Dominik Michael; Jasmin Metzger; Sinan Onogur; Stefanie Speidel, Prof Dr; Lars Mündermann; Johannes Fallert, PhD; Michael Müller, PhD; Magnus von Knebel Doeberitz, Prof Dr; Dogu Teber, Prof Dr; Peter Seitz; Lena Maier-Hein, Prof Dr; Stefan Duensing, Prof Dr; Markus Hohenfellner, Prof Dr
E-Jahr:2022
Jahr:20.01.2022
Umfang:18 S.
Fussnoten:Gesehen am 20.12.2022
Titel Quelle:Enthalten in: JMIR medical informatics
Ort Quelle:Toronto : [Verlag nicht ermittelbar], 2013
Jahr Quelle:2022
Band/Heft Quelle:10(2022), 1, Artikel-ID e27743, Seite 1-18
ISSN Quelle:2291-9694
Abstract:Background: Although digital and data-based technologies are widespread in various industries in the context of Industry 4.0, the use of smart connected devices in health care is still in its infancy. Innovative solutions for the medical environment are affected by difficult access to medical device data and high barriers to market entry because of proprietary systems. Objective: In the proof-of-concept project OP 4.1, we show the business viability of connecting and augmenting medical devices and data through software add-ons by giving companies a technical and commercial platform for the development, implementation, distribution, and billing of innovative software solutions. Methods: The creation of a central platform prototype requires the collaboration of several independent market contenders, including medical users, software developers, medical device manufacturers, and platform providers. A dedicated consortium of clinical and scientific partners as well as industry partners was set up. Results: We demonstrate the successful development of the prototype of a user-centric, open, and extensible platform for the intelligent support of processes starting with the operating room. By connecting heterogeneous data sources and medical devices from different manufacturers and making them accessible for software developers and medical users, the cloud-based platform OP 4.1 enables the augmentation of medical devices and procedures through software-based solutions. The platform also allows for the demand-oriented billing of apps and medical devices, thus permitting software-based solutions to fast-track their economic development and become commercially successful. Conclusions: The technology and business platform OP 4.1 creates a multisided market for the successful development, implementation, distribution, and billing of new software solutions in the operating room and in the health care sector in general. Consequently, software-based medical innovation can be translated into clinical routine quickly, efficiently, and cost-effectively, optimizing the treatment of patients through smartly assisted procedures.
DOI:doi:10.2196/27743
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext: https://doi.org/10.2196/27743
 kostenfrei: Volltext: https://medinform.jmir.org/2022/1/e27743
 DOI: https://doi.org/10.2196/27743
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:care
 cloud-based platform
 data
 eHealth
 Internet of Medical Things
 IoT
 medical apps
 multisided market
 perioperative medicine
 robust
 software-defined healthcare
 translational research
K10plus-PPN:1828116688
Verknüpfungen:→ Zeitschrift

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