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      Ökonomische Aspekte der Digitalisierung in Orthopädie und Unfallchirurgie Translated title: Economic aspects of digitalization in orthopedics and trauma surgery

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          Abstract

          Einleitung

          Das Fortschreiten der Digitalisierung wird neben Vorteilen für Patienten und Ärzte auch ökonomische Implikationen für das Gesundheitswesen in toto weltweit haben. Die Integration digitaler Innovationen ermöglicht es Gesundheitsunternehmen, ihre bisherigen Aktivitäten und Prozesse zu transformieren und eine neue Form der Patientenversorgung zu schaffen.

          Wichtige ökonomische Themenfelder der Digitalisierung

          Mithilfe digitaler Anwendungen können eine Prozessoptimierung durch Effizienzsteigerung und damit eine Kostensenkung im Gesundheitswesen erreicht werden. Verbesserte Prozesse können wiederum eine Qualitätssteigerung bei der Behandlung von Patienten erreichen. Gleichzeitig kann durch digitale Schnittstellen eine Doppelung von Untersuchungen vermieden und die Kommunikation unter beteiligten Gesundheitsprofessionen verbessert werden, was eine Ressourcenschonung zur Folge hätte. Letztlich können diese Einflüsse zu einer Präzisierung der Medizin führen, Heilungsabläufe beschleunigen und für alle Beteiligten einen Vorteil darstellen.

          Ausblick

          Ökonomische Umverteilungen durch die Digitalisierung der Medizin werden sich erst in der Zukunft klar zeigen. Ethische Überlegungen und auch der Datenschutz werden wichtige Themen sein. Gleichzeitig müssen Investitionen und digitale Innovationen von staatlicher und unternehmerischer Seite gefördert werden. Wissenschaftliche Studien können auch in der Orthopädie und Unfallchirurgie helfen, die nötige Evidenz neuer Methoden für die Praxis zu sichern.

          Translated abstract

          Introduction

          In addition to the advantages for patients and physicians, the progression of digitalization will also have economic implications for healthcare systems in toto worldwide. The integration of digital innovations enables healthcare institutions to transform their current activities and processes and to create a new form of patient care.

          Important economic topics of digitalization

          Using digital applications process optimization can be achieved by increased efficiency and therefore a reduction in costs in the healthcare system. Improved processes can in turn achieve an increase in quality in the treatment of patients. Simultaneously, a duplication of investigations can be avoided through digital interfaces and the communication among the healthcare professions involved can be improved, which would result in a conservation of resources. Finally, these influences can lead to more precision in medicine, acceleration of healing processes and represent an advantage for all parties involved.

          Perspectives

          Economic redistribution due to digitalization of medicine will become increasingly apparent in the future. Ethical considerations as well as data protection will be important topics. At the same time investments and digital innovations must be sponsored by the government and industry. Scientific studies are necessary to secure the evidence of new methods for practice in orthopedics and trauma surgery.

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          Most cited references26

          • Record: found
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          Can electronic medical record systems transform health care? Potential health benefits, savings, and costs.

          To broadly examine the potential health and financial benefits of health information technology (HIT), this paper compares health care with the use of IT in other industries. It estimates potential savings and costs of widespread adoption of electronic medical record (EMR) systems, models important health and safety benefits, and concludes that effective EMR implementation and networking could eventually save more than $81 billion annually--by improving health care efficiency and safety--and that HIT-enabled prevention and management of chronic disease could eventually double those savings while increasing health and other social benefits. However, this is unlikely to be realized without related changes to the health care system.
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            Is Open Access

            Deep neural network improves fracture detection by clinicians

            Significance Historically, computer-assisted detection (CAD) in radiology has failed to achieve improvements in diagnostic accuracy, decreasing clinician sensitivity and leading to unnecessary further diagnostic tests. With the advent of deep learning approaches to CAD, there is great excitement about its application to medicine, yet there is little evidence demonstrating improved diagnostic accuracy in clinically-relevant applications. We trained a deep learning model to detect fractures on radiographs with a diagnostic accuracy similar to that of senior subspecialized orthopedic surgeons. We demonstrate that when emergency medicine clinicians are provided with the assistance of the trained model, their ability to accurately detect fractures significantly improves.
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              • Record: found
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              Big data in health care: using analytics to identify and manage high-risk and high-cost patients.

              The US health care system is rapidly adopting electronic health records, which will dramatically increase the quantity of clinical data that are available electronically. Simultaneously, rapid progress has been made in clinical analytics--techniques for analyzing large quantities of data and gleaning new insights from that analysis--which is part of what is known as big data. As a result, there are unprecedented opportunities to use big data to reduce the costs of health care in the United States. We present six use cases--that is, key examples--where some of the clearest opportunities exist to reduce costs through the use of big data: high-cost patients, readmissions, triage, decompensation (when a patient's condition worsens), adverse events, and treatment optimization for diseases affecting multiple organ systems. We discuss the types of insights that are likely to emerge from clinical analytics, the types of data needed to obtain such insights, and the infrastructure--analytics, algorithms, registries, assessment scores, monitoring devices, and so forth--that organizations will need to perform the necessary analyses and to implement changes that will improve care while reducing costs. Our findings have policy implications for regulatory oversight, ways to address privacy concerns, and the support of research on analytics.
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                Author and article information

                Contributors
                dominik.pfoerringer@mri.tum.de
                Journal
                Unfallchirurg
                Unfallchirurg
                Der Unfallchirurg
                Springer Medizin (Heidelberg )
                0177-5537
                1433-044X
                20 October 2020
                : 1-6
                Affiliations
                [1 ]GRID grid.6936.a, ISNI 0000000123222966, Klinik und Poliklinik für Unfallchirurgie, Klinikum rechts der Isar, , Technische Universität München, ; Ismaninger Str. 22, 81675 München, Deutschland
                [2 ]GRID grid.448793.5, ISNI 0000 0004 0382 2632, Institut für Gesundheit und Soziales (ifgs), , FOM Hochschule für Oekonomie und Management, ; Essen, Deutschland
                [3 ]GRID grid.6363.0, ISNI 0000 0001 2218 4662, Centrum für Muskuloskeletale Chirurgie, , Charité – Universitätsmedizin Berlin, ; Berlin, Deutschland
                [4 ]Klinik für Unfallchirurgie und Orthopädie, Bundeswehrkrankenhaus Berlin, Berlin, Deutschland
                Author notes
                [Redaktion]

                D. A. Back, Berlin

                D. Pförringer, München

                Article
                891
                10.1007/s00113-020-00891-7
                7574668
                33079219
                41b63a78-a9a7-40a7-be8c-fc27d652b8fc
                © Springer Medizin Verlag GmbH, ein Teil von Springer Nature 2020

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                Categories
                Leitthema

                prozessoptimierung,gesundheitsressourcen,präzisionsmedizin,qualität der gesundheitsversorgung,wirtschaftliche entwicklung,process optimization,health resources,precision medicine,quality of health care,economic development

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