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Die Gesundheitswirtschaft ist im hohen Maße von Technisierung und Digitalisierung betroffen, welche neue Kompetenzen bei den verantwortlichen Akteur:innen erfordert. Die Fähigkeiten, die für den professionellen Umgang mit diesen Entwicklungspro zessen relevant sind, werden in der Literatur mit verschiedenen Begriffen umschrieben: Inhalte wie Technik, Digitalität, Medien, Informatik, Computer oder Informations- und Kommunikationstechnologien (IKT) werden mit Fähigkeiten und Fertigkeiten re präsentierenden Begriffen wie Kompetenzen, Literacy oder Skills verknüpft. Deutlich wird bisher jedoch nicht, welche spezifi schen Fähigkeiten die im Diskurs geforderten Konstrukte jeweils adressieren, worin sie sich unterscheiden und welchen Beitrag sie zum Ziel beruflicher Handlungskompetenz leisten.
This study investigates the impact of generative AI systems like ChatGPT on semi-structured decision-making, specifically in evaluating undergraduate dissertations. We propose using Davis’ technology acceptance model (TAM) and Schulz von Thun’s four-sides communication model to understand human–AI interaction and necessary adaptations for acceptance in dissertation grading. Utilizing an inductive research design, we conducted ten interviews with respondents having varying levels of AI and management expertise, employing four escalating-consequence scenarios mirroring higher education dissertation grading. In all scenarios, the AI functioned as a sender, based on the four-sides model. Findings reveal that technology acceptance for human–AI interaction is adaptive but requires modifications, particularly regarding AI’s transparency. Testing the four-sides model showed support for three sides, with the appeal side receiving negative feedback for AI acceptance as a sender. Respondents struggled to accept the idea of AI, suggesting a grading decision through an appeal. Consequently, transparency about AI’s role emerged as vital. When AI supports instructors transparently, acceptance levels are higher. These results encourage further research on AI as a receiver and the impartiality of AI decision-making without instructor influence. This study emphasizes communication modes in learning-ecosystems, especially in semi-structured decision-making situations with AI as a sender, while highlighting the potential to enhance AI-based decision-making acceptance.
Exploring stakeholder perspectives: Enhancing robot acceptance for sustainable healthcare solutions
(2023)
The pandemic has highlighted the fact that healthcare systems around the world are under pressure. Demographic change is leading to an increasing shortage of care workers in most countries, and the demographic challenge is only just beginning in most societies. While robots are widely used in industry, robotic support in healthcare is still limited to very specialized robots in the operating theatre. The question of what type of deployment is likely to be successful in a healthcare scenario is not only a technological or economical question but also one of technology acceptance. The answer to this question supports entrepreneurial opportunities to develop sustainable healthcare solutions.
In this paper, we analyze the acceptance of robots in elderly care from the perspective of patients, patient families, and geriatric care professionals. To understand the various positions and to identify the suitability of existing acceptance models, we applied stakeholder mapping to conduct qualitative interviews with 14 people with different knowledge backgrounds and levels of involvement in care situations, based on 9 videos showing different robots and application scenarios.
The results confirmed that existing technology acceptance models need to be extended by factors such as robot appearance. We found that the background knowledge of the respondents influences the results of the questions about e.g. safety concerns. In addition, we found that the contribution to patients' self-determination and independence is an important factor that is not included in existing technology acceptance models. Finally, the discovery of a significant discrepancy between the self-perception and the external perception of the different stakeholders regarding the acceptance of a service robot can be explained by the stakeholder positions involved in caring for the benefit of a specific patient.
These findings encourage further research, especially with the underlying assumption that technology acceptance in healthcare is not just a patient issue, but a stakeholder issue. Stakeholder mapping is a valid tool to analyze the interdependencies for the acceptance of robots. Therefore, we suggest using a tool such as stakeholder mapping to further analyze these issues.
Background
The admission to a nursing home is a critical life-event for affected persons as well as their families. Admission related processes are lacking adequate participation of older people and their families. To improve transitions to nursing homes, context- and country-specific knowledge about the current practice is needed. Hence, our aim was to summarize available evidence on challenges and care strategies associated with the admission to nursing homes in Germany.
Methods
We conducted a scoping review and searched eight major international and German-specific electronic databases for journal articles and grey literature published in German or English language since 1995. Further inclusion criteria were focus on challenges or care strategies in the context of nursing home admissions of older persons and comprehensive and replicable information on methods and results. Posters, only-abstract publications and articles dealing with mixed populations including younger adults were excluded. Challenges and care strategies were identified and analysed by structured content analysis using the TRANSCIT model.
Results
Twelve studies of 1,384 records were finally included. Among those, seven were qualitative studies, three quantitative observational studies and two mixed methods studies. As major challenges neglected participation of older people, psychosocial burden among family caregivers, inadequate professional cooperation and a lack of shared decision-making and evidence-based practice were identified. Identified care strategies included strengthening shared decision-making and evidence-based practice, improvement in professional cooperation, introduction of specialized transitional care staff and enabling participation for older people.
Conclusion
Although the process of nursing home admission is considered challenging and tends to neglect the needs of older people, little research is available for the German health care system. The perspective of the older people seems to be underrepresented, as most of the studies focused on caregivers and health professionals. Reported care strategies addressed important challenges, however, these were not developed and evaluated in a comprehensive and systematic way. Future research is needed to examine perspectives of all the involved groups to gain a comprehensive picture of the needs and challenges. Interventions based on existing care strategies should be systematically developed and evaluated to provide the basis of adequate support for older persons and their informal caregivers.
Background:
3D gait analysis (3DGA) is a common assessment in Cerebral Palsy (CP) to quantify the extent of movement abnormalities. Yet, 3DGA is performed in laboratories and may thus be of debatable significance to everyday life.
Aim
The aim was to assess the relationship between kinematic gait abnormality and everyday mobility in ambulatory children and youth with spastic CP.
Methods:
73 paediatric and juvenile patients with uni- or bilateral spastic CP (N = 21 USCP, N = 52, BSCP, age: 4–20 y, GMFCS I-III) underwent a 3DGA, while the MobQues47 Questionnaire quantified caregiver-reported mobility. We calculated the Gait Profile Score (GPS), a metric that summarizes how far the lower limb joint angles during walking deviate from those of matched controls.
Results:
The GPS correlated well with indoor and outdoor mobility (rho = −0.69 and −0.70, both p < 0.001) and the relationships were not significantly different for USCP and BSCP. Still, mobility was lower in BSCP (p < 0.001) and more compromised outdoors (p = 0.002). Indoor mobility could be predicted by walking speed, GPS and age (adj. R2 = 0.62). Outdoor mobility was best predicted by walking speed and GPS (adj. R2 = 0.60). The additive explained variance by the GPS was even higher outdoors than indoors (17.1% vs. 11.4%).
Conclusions:
Measuring movement deviations with 3DGA seems equally meaningful in uni- and bilaterally affected children and has considerable relevance for real-life ambulation, particurlarly outdoors, where children with spastic CP typically face greater difficulties. Therapeutic strategies that achieve faster walking and reduction of kinematic deviations may increase outdoor mobility.
Die Pflegewissenschaft in Deutschland steht vor der Herausforderung, wissenschaftliche Strukturen und Karrierewege auszubilden. Erschwert wird dies durch einen Mangel an wissenschaftlichem Nachwuchs, der das Potential hat, pflegewissenschaftliche Professuren mit wissenschaftlicher Exzellenz und praktischer Erfahrung zu füllen.
Ziel dieses Beitrags ist es, darzustellen, was auslösende Momente für wissenschaftliche Karrieren sind, die in Professuren pflegebezogener Studiengänge münden, und welche Kontextbedingungen diese Karrieren beeinflussen. Es soll auch aufgezeigt werden, wie wissenschaftliche Nachwuchskräfte vorgehen, um ihre Ziele zu erreichen und welche Konsequenzen sich daraus für sie und für die Pflegewissenschaft ergeben. Auf dieser Grundlage sollen Empfehlungen für die Nachwuchsförderung entwickelt werden, um mehr geeignete Personen für Professuren in pflegebezogenen Studiengängen zu gewinnen.
Vorhandene Daten teilnarrativer Interviews mit ProfessorInnen (n=11) und Masterstudierenden (n=11) sowie Promovierenden (n=10) pflegebezogener Studiengänge wurden im Rahmen einer retrospektiven Datenanalyse mit dem dreistufigen Codierverfahren der Grounded Theory Methodologie ausgewertet.
Die Ergebnisse zeigen, dass in der Pflegepraxis gewonnene Erfahrungen auslösende Momente wissenschaftlicher Karrieren sind. Diese lösen den Drang aus, die dort herrschende Situation zu verändern, wobei sich vier Karrieretypen unterscheiden lassen: Typ A forscht, weil er erlebt hat, dass es für pflegerische Phänomene keine geeigneten Pflegeinterventionen gab. Typ B lehrt, um dazu beizutragen, dass Pflegende zukünftig besser ausgebildet werden. Typ C ist als Pflegeperson von ÄrztInnen nicht ausreichend anerkannt worden und absolviert eine wissenschaftliche Qualifikation, um mit ihnen auf Augenhöhe zu gelangen. Typ D wollte in der Praxis bleiben, ist aber bei Weiterentwicklungsprozessen blockiert worden und nimmt als Kompromiss eine Professur an.
Identifizierte Kontextfaktoren sind u.a. mangelnde Wertschätzung für wissenschaftliches Handeln in der Pflege und das Fehlen von Stellen für hochschulisch qualifizierte Pflegepersonen in der Praxis. Angesichts der bestehenden Bedingungen können hochschulisch qualifizierte Pflegende in der Praxis nicht Fuß fassen. Als Konsequenz für die Pflegewissenschaft als Disziplin zeigt sich, dass in der Pflegepraxis Vorbilder fehlen, die zukünftige Generationen Pflegender dazu anregen könnten, selbst eine wissenschaftliche Karriere in der Pflege einzuschlagen. Dadurch besteht die Gefahr einer Verkümmerung der Pflegewissenschaft.
Auf Grundlage der Ergebnisse wird die durchgängige Implementierung geeigneter Stellen für hochschulisch qualifizierte Pflegepersonen in der Pflegepraxis als Ausgangsbasis wissenschaftlicher Nachwuchsförderung betrachtet. Als Konzept werden Hochschul-Praxis-Partnerschaften skizziert, die beginnend auf Bachelorniveau bis zur Post-doc-Phase Strukturen zu einem systematischen praxisbezogenen wissenschaftlichen Kompetenzauf- und -ausbau für akademisch qualifizierte Pflegende etablieren.
Usability is considered a major success factor for current and future decision support systems. Such systems are increasingly used to assist human decision-makers in high-stakes tasks in complex domains such as health care, jurisdiction or finance. Yet, many if not most expert systems—especially in health care—fail to deliver the degree of quality in terms of usability that its expert users are used to from their personal digital consumer products. In this article, we focus on clinical decision support systems (CDSS) as an example for how important a human-centered design approach is when designing complex software in complex contexts. We provide an overview of CDSS classes, discuss the importance of systematically exploring mental models of users, and formulate challenges and opportunities of future design work on CDSS. We further provide a case study from a current research project to illustrate how we used codesign as a practical approach to produce usable software in a real-world context.
Practical Relevance: We make a point for usability to be considered a major success factor and non-negotiable characteristic of expert software. With software evolving into virtual coworkers in terms of supporting human decision-making in complex, high-risk domains, the necessity of and demand for systems that are unambiguously understandable and interpretable for their expert users have never been higher. We show that this is a real-world problem with high practical relevance by describing our work in the domain of clinical decision support systems (CDSS) as an example. We introduce the topic and a classification of CDSS. Thus, we highlight a conceptual framework of how to approach complex domains from a technology designer’s point of view. We continue by explaining why usability must be regarded as a major goal in software development. We derive challenges and opportunities that may well be transferred to other domains. Finally, be including a real-world example from our own professional work we propose a practical approach towards taking the challenges and exploiting the associated opportunities.
Background
To date, targeted tyrosine kinase inhibitors have been approved for FGFR2 and FGFR3 fusions (pemigatinib and erdafitinib, respectively), but the importance of FGFR2 mutations for transformation activity and as a druggable gene variant with response to different FGFR inhibitors is poorly understood. FGFR2 inhibitors present a mainstay of treatment for locally advanced or metastatic intrahepatic cholangiocellular carcinoma (iCCA).
Methods
A 74-year-old male was diagnosed with iCCA in liver segments seven and eight with infiltration of the hepatic veins and inferior vena cava revealed a C382R mutation of the intramembrane domain of FGRR2 receptor. We performed an in-silico study to understand the potential mode-of-action of the mutant FGFR2 targets. Based on experimentally determined structures we then used a structure generated by AlphaFold2 as the variation in question is located at a position not determined well in the experiments. This revealed that the C382R mutation is located in the trans-membranal domain at a position crucial for signal transduction, both for activation and inhibition of downstream-signaling. The Molecular Tumor Board decided to start the treatment with 13.5 mg pemigatinib once daily for 14 days, followed by 7 days of free therapy interval resulting in a sustained partial response. The patient continues to be treated of 13.5 mg as described above.
Results
In our case report, we were able to show that the patient in whom an C382R mutation was detected responded to the therapy with pemigatinib. This shows that real-world scenarios differ from the data of the approval studies, thereby illustrating how complex data on patients with FGFR mutations is. One of the main problems of large approval studies is that the functionality of the respective alterations is often disregarded.
Conclusions
Our results suggest that respective mutation may be successfully targeted by FGFR-selective tyrosine-kinase inhibitors, demonstrating the importance of the functional characterization of mutations.
no conflicts of interest.
Point mutations of the fibroblast growth factor receptor (FGFR)2 receptor in intrahepatic cholangiocarcinoma (iCC) are mainly of unknown functional significance compared to FGFR2 fusions. Pemigatinib, a tyrosine kinase inhibitor, is approved for the treatment of cholangiocarcinoma with FGFR2 fusion/rearrangement. Although it is hypothesized that FGFR2 mutations may cause uncontrolled activation of the signaling pathway, the data for targeted therapies for FGFR2 mutations remain unclear. In vitro analyses demonstrated the importance of the p.C382R mutation for ligand-independent constitutive activation of FGFR2 with transforming potential. The following report describes the clinical case of a patient diagnosed with an iCC carrying a FGFR2 p.C382R point mutation which was detected in liquid, as well as in tissue-based biopsies. The patient was treated with pemigatinib, resulting in a sustained complete functional remission in fluorodeoxyglucose-positron emission tomography/computed tomography over 10 months to date. The reported case is the first description of a complete functional remission under the treatment with pemigatinib in a patient with p.C383R mutation.
Background:
Data on SARS-CoV-2 infections in oncological patients in the outpatient settings are scarce.
Methods:
During the spread of the delta variant between April 2021 and September 2021, a total of 10.677 patients were tested for SARS-CoV-2 infection by RT-qPCR in seven outpatient clinics in Bavaria, Germany.
Results:
Within the tested patient cohort, 4.960 patients (46.5%) suffered from a malignant disease (74% solid tumors and 26% malignant hematological diseases). This group was compared with 5.717 patients (53.5%) without a malignant disease (33.1% with other hematological diseases and 66.9% patients without a hematological or oncological disease). During the observation period, 119 (2.4%) patients with malignancies were tested positive (88 patients with solid tumors; 31 patients with malignant hematological diseases) compared to 115 positive patients (2.0%) in the control group. 32 of 119 positively tested patients (26.9%) suffering from malignant disease required hospitalization and 9/32 patients (28.1%) died during the clinical course.
Conclusions:
These observations are in clear contrast to data from patients we evaluated during the pre-delta variants period between 15 and 26 April 2020 in the same seven outpatient clinics. In this period, a total of 1.227 patients were tested for SARS-CoV-2 by RT-qPCR. 78/1227 patients (6.3%) were tested positive in RT-qPCR and most showed mild symptoms of infection. None of the SARS-CoV-2 infected patients died. These data were analyzed when no vaccination was available. These data were evaluated during a period where no vaccine was available. Vaccination of patients with malignancies with BiontechPfizer's mRNA vaccines was started in April 2021. The response to the vaccine was tested by an antibody assay (Elecsys Anti-SARS-CoV-2 S-immunoassay, Roche) at the earliest four weeks after the second vaccination. To assess the response, we compared five patient cohorts: Patients who received (i) B cell depleting antibodies, (ii) checkpoint inhibitors (ICI), (iii) chemotherapy, or (iv) tyrosin kinase inhibitors (TKIs), and (v) healthy controls. The patients treated with ICI or TKI showed a comparable vaccination response to the healthy patients, while patients receiving Rituximab/Obinutuzumab showed no significant humoral vaccination response at all. The more severe disease course of patients infected by the SARS-CoV-2 delta variant compared to the initial waves of infections strongly underline the importance of vaccination in cancer patients.