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Venous leg ulcers and diabetic foot ulcers are the most common chronic wounds. Their prevalence has been increasing significantly over the last years, consuming scarce care resources. This study aimed to explore the performance of detection and classification algorithms for these types of wounds in images. To this end, algorithms of the YoloV5 family of pre-trained models were applied to 885 images containing at least one of the two wound types. The YoloV5m6 model provided the highest precision (0.942) and a high recall value (0.837). Its mAP_0.5:0.95 was 0.642. While the latter value is comparable to the ones reported in the literature, precision and recall were considerably higher. In conclusion, our results on good wound detection and classification may reveal a path towards (semi-) automated entry of wound information in patient records. To strengthen the trust of clinicians, we are currently incorporating a dashboard where clinicians can check the validity of the predictions against their expertise.
Diabetic foot ulcer (DFU) is a chronic wound and a common diabetic complication as 2% – 6% of diabetic patients witness the onset thereof. The DFU can lead to severe health threats such as infection and lower leg amputations, Coordination of interdisciplinary wound care requires well-written but time-consuming wound documentation. Artificial intelligence (AI) systems lend themselves to be tested to extract information from wound images, e.g. maceration, to fill the wound documentation. A convolutional neural network was therefore trained on 326 augmented DFU images to distinguish macerated from unmacerated wounds. The system was validated on 108 unaugmented images. The classification system achieved a recall of 0.69 and a precision of 0.67. The overall accuracy was 0.69. The results show that AI systems can classify DFU images for macerations and that those systems could support clinicians with data entry. However, the validation statistics should be further improved for use in real clinical settings. In summary, this paper can contribute to the development of methods to automatic wound documentation.
Background: Clinical handovers at changes of shifts are typical scenarios of time restricted and information intensive communication, which are highly cognitively demanding. The currently available applications supporting handovers typically present complex information in a textual checklist-like manner. This presentation style has been criticised for not meeting the specific user requirements.
Objectives: We, therefore, aimed at developing a concept for visualising the overview of a clinical case that serves as an alternative way to checklist-like presentations in clinical handovers. We also aimed at implementing this concept in a handoverEHR in order to support the pre-handover phase, the actual handover, and the post-handover phase as well as at evaluating its usability and attractiveness.
Results: We developed and implemented a concept that draws on Tolman's pioneering work on cognitive maps that we designed in accordance with Gestalt principles. These maps provide a pictorial overview of a clinical case. The application to build, manipulate, and store the cognitive maps was integrated into an openEHR based handover record that extends conventional records with handover specific information. Usability (n = 28) and attractiveness (n = 26) testing with experienced clinicians resulted in good ratings for suitability for the task as well as for attractiveness and pragmatism.
Conclusion: We propose cognitive maps to represent and visualise the clinical case in situations where there is limited time to present complex information.
Patient handovers are cognitively demanding, crucial for information continuity and patient safety, but error prone. This study investigated the effect of an electronic handover tool, i.e. the handoverEHR, on the memory and care planning performance of nurse students (n=32) in a randomised, controlled cross-over design with the factors handover task and handover role. On a descriptive level, handover recipients could improve their memory performance with electronic support, handover givers their performance of writing care plans. Statistically meaningful differences occurred, however, only when the participants were givers. Without handover experience and with low fluency to word problems, givers performed badly in the most demanding of the handover tasks. Final recommendations, however, can only be made after replicating this study in a clinical setting with mixed groups.
Hintergrund
Demografisch bedingt wird sich die Anzahl pflegebedürftiger Menschen weiter erhöhen. Tragende Säule der pflegerischen Versorgung sind ihre Angehörigen, die den Großteil der Pflegeaufgaben übernehmen. Dies hat jedoch oftmals Auswirkungen auf ihre eigene Gesundheit und ihr Wohlbefinden.
Methodisches Vorgehen
Mit dem Fragebogen zur Angehörigenresilienz und -belastung (FARBE) liegt ein Instrument vor, um sowohl die Resilienz als auch Belastung pflegender Angehöriger zu ermitteln. Der Fragebogen wurde im Rahmen der Pflegestudie des VdK-Sozialverbands genutzt und von 12.475 Angehörigen komplett ausgefüllt. Durch eine multiple lineare Regression wurden Einflüsse und ihre Wirkstärke auf die Resilienz und Belastung analysiert.
Ergebnisse
Angehörige von Menschen mit Demenz, Depression oder hohem Pflegegrad weisen eine stärkere Belastung auf. Demenz und Depression mindern zudem die Resilienz. Positiv wirkt sich die soziale Unterstützung aus. Ebenso bedingt ein höheres Alter eine stärkere Resilienz.
Schlussfolgerungen
Im Ergebnis dieser Arbeit gelang eine Identifikation von relevanten Einflussfaktoren. Dies ermöglicht, Unterstützungs- und Entlastungsangebote auf ihre Anwendung und Wirksamkeit zu überprüfen. Besondere Bedeutung haben Unterstützungsangebote für Angehörige von Menschen mit Demenz, Depression und/oder höheren Pflegegraden. Stressreduzierende Maßnahmen und das Bilden sozialer Netzwerke für Angehörige können weitere Maßnahmen zur Stärkung der Resilienz und Abschwächung von Belastung sein.
Angehörige der Gesundheitsberufe sehen sich vermehrt mit komplexen und neuen Aufgaben sowie einem veränderten Arbeitsumfeld konfrontiert. Gleichzeitig ist das Gesundheitswesen durch ein hohes Maß an Arbeitsteilung gekennzeichnet, die das nahtlose Zusammenwirken unterschiedlichster Gesundheitsberufe voraussetzt. Daher kommt der Entwicklung interdisziplinärer Kompetenzen eine hohe Bedeutung zu.
An der Hochschule Osnabrück werden im Rahmen des BMBF-geförderten Forschungsverbundprojekts „Kompetenzentwicklung von Gesundheitsfachpersonal im Kontext des Lebenslangen Lernens“ (KeGL) berufsbegleitende wissenschaftliche Zertifikatsangebote in den Bereichen Patientensicherheitsmanagement und Gesundheitsinformatik entwickelt und in interdisziplinär zusammengesetzten Gruppen erprobt. Im Mittelpunkt dieser Handreichung stehen die Ergebnisse und Erfahrungen aus der ersten Förderphase, in welcher neben einer Analyse von Kompetenzbedarfen, die Erarbeitung eines Lehr-Lern-Konzepts und die Erprobung zweier Pilotmodule erfolgt sind.
The PosiThera project focuses on the management of chronic wounds, which is multi-professional and multi-disciplinary. For this context, a software prototype was developed in the project, which is intended to support medical and nursing staff with the assistance of artificial intelligence. In accordance with the user-centred design, national workshops were held at the beginning of the project with the involvement of domain experts in wound care in order to identify requirements and use cases of IT systems in wound care, with a focus on AI. In this study, the focus was on involving nursing and nursing science staff in testing the software prototype to gain insights into its functionality and usability. The overarching goal of the iterative testing and adaptation process is to further develop the prototype in a way that is close to care.
Lückenlose Versorgung
(2020)
IT-Standard für das pflegerische Entlassmanagement.
Der von der Hochschule Osnabrück entwickelte „ePflegebericht“ kann die bisherigen unterschiedlichen papierbasierten Überleitungen ablösen, indem die entsprechenden IT-Systeme interoperabel Dokumente austauschen. Die Pflege erhält mit diesem IT-Standard erstmals einen möglichen Zugang zur Telematikinfrastruktur, um zwischen Einrichtungen und über Sektorengrenzen hinweg pflegerisch relevante Informationen schnell und sicher zu übermitteln.
Health IT systems are employed to support continuity of care via information continuity, while management continuity is often neglected. This study aims at investigating issues of management continuity when developing a collaborative decision support system for chronic wounds. Thirty-three experts from a variety of professions and disciplines discussed problems and possible solutions in four workshops. The following topics emerged from the discussion: existing networks involving payers, responsibilities as well as good discharge management. These topics clearly address management continuity and are also relevant for the scenario of inter-professional wound care across different settings.