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Hintergrund: Sozial benachteiligte Schwangere sind in besonderem Maße vulnerabel. Sie befinden sich wie alle Schwangeren in einer biographischen Übergangssituation und tragen zusätzlich die mit ihrem sozialen Status assoziierten Gesundheitsrisiken. In diesem Zusammenhang stellt insbesondere die Geburtsvorbereitung als gesundheitsfördernde Maßnahme ein wichtiges niedrigschwelliges Angebot der Gesundheitsförderung dar. Denn durch diese kann bereits vor der Geburt die Unterstützung, Beratung und Vernetzung der betroffenen Mädchen und Frauen erfolgen. Die Verbesserung der Inanspruchnahme von Unterstützungsangeboten wie der Hebammenbetreuung setzt Detailwissen um die Bedürfnisse der angesprochenen Personengruppe voraus. Deren Erfassung ist daher ein wesentlicher Schwerpunkt dieser Studie.
Methode: In der qualitativen Studie werden sowohl Frauen und Mädchen in schwierigen Lebenssituationen (n=19) zu ihren Bedürfnissen und Erfahrungen in der Schwangerschaft als auch Expertinnen, Familienhebammen und ein Sozialpädagoge retrospektiv teilstrukturiert befragt (n=7). Ergänzt werden die Aussagen durch Angebotsanalysen aus ausgewählten Städten und Gemeinden (n=7). Die Auswertung der Studie ist angelehnt an die Technik der Grounded Theory.
Ergebnisse: Die Bedürfnisse der befragten Frauen und Mädchen in der Schwangerschaft sind komplex und weisen in ihren speziellen Ausprägungen besondere thematische Schwerpunkte auf. Durch die meist prekären Lebensverhältnisse stehen Sicherheitsbedürfnisse im Vordergrund. Soziale Beziehungen und die Rollenfindung als Mutter sind gleichfalls wichtige Themen, weil die Frauen von Diskriminierung betroffen sind oder diese befürchten. Das Informationsbedürfnis bezieht sich schwerpunktmäßig auf gegenwärtige Phänomene und Erfahrungen. Viele der geäußerten Bedürfnisse werden sowohl an die Menschen des sozialen Umfelds als auch an Mitarbeiter der Beratungsstellen oder Akteure des Gesundheitswesens adressiert. Hebammen bieten sich durch ihre spezielle Arbeitsstruktur insbesondere dann als Ansprechpartner an, wenn die Kontakte zu Familienmitgliedern oder den Menschen des direkten sozialen Umfelds unsicher sind. Übliche Geburtsvorbereitungskurse treffen nur bedingt die Interessen der Befragten und bringen das Risiko einer Ausgrenzung durch die Gruppe mit sich. Die Interviews mit den Expertinnen sowie die Angebotsanalysen zeigen außerdem, dass die Vernetzung der Professionen des Gesundheits- und Sozialwesens und eine Überweisung zu passgenauen Angeboten nur unzureichend realisiert sind.
Ausgewählte Empfehlungen: Die speziellen Bedürfnisse der schwangeren Frauen und Mädchen in besonderen Lebenssituationen bedürfen einer inhaltlich abgestimmten Vernetzung von Ärzten, Hebammen und Beratern. Geburtsvorbereitungskurse sollten neben den üblichen curricularen Inhalten die Chance berücksichtigen, dass Frauen eine neue soziale Rolle im unkomplizierten Beisammensein mit anderen neu definieren und erproben können. Die thematischen Schwerpunkte sollten das Wachstum des Kindes und zeitnahe Erfahrungen in den Vordergrund stellen.
In this paper, we evaluate the application of Bayesian Optimization (BO) to discrete event simulation (DES) models. In a first step, we create a simple model, for which we know the optimal set of parameter values in advance. We implement the model in SimPy, a framework for DES written in Python. We then interpret the simulation model as a black box function subject to optimization. We show that it is possible to find the optimal set of parameter values using the open source library GPyOpt. To enhance our evaluation, we create a second and more complex model. To better handle the complexity of the model, and to add a visual component, we build the second model in Simio, a commercial off-the-shelf simulation modeling tool. To apply BO to a model in Simio, we use the Simio API to write an extension for optimization plug-ins. This extension encapsulates the logic of the BO algorithm, which we deployed as a web service in the cloud.
The fact that simulation models are black box functions with regard to their behavior and the influence of their input parameters makes them an apparent candidate for Bayesian Optimization (BO). Simulation models are multivariable and stochastic, and their behavior is to a large extent unpredictable. In particular, we do not know for sure which input parameters to adjust to maximize (or minimize) the model’s outcome. In addition, the complex models can take a substantial amount of time to run.
Bayesian Optimization is a sequential and self-learning algorithm to optimize black box functions similar to as we find them in simulation models: they contain a set of parameters for which we want to identify the optimal set, they are expensive to evaluate, and they exhibit stochastic noise. BO has proven to efficiently optimize black box functions from varius disciplines. Among those, and most notably, it is successfully applied in machine learning algorithms to optimize hyperparameters.
SimBO is a flexible framework for optimizing discrete event-driven simulations (DES) using sequential optimization algorithms. While specifically designed for Bayesian Optimization (BO) in the context of DES, SimBO can be applied to any black-box problem with other optimization algorithms. The framework consists of four encapsulated components - the black-box problem, the sequential optimization algorithm, a database for experiment configuration and results, and a web-based graphical user interface - that communicate via well-defined interfaces. Each component can be run in different environments, allowing for cooperation between different hardware- and software configurations. In our research context, SimBO’s architecture enabled BO algorithms to be run on a high-performance cluster with GPU support, while the simulation is executed on a local Windows machine using the Simio simulation software. The framework’s flexibility also makes it suitable for evolving from a research-focused tool to a production-ready, cloud-based optimization tool for modern algorithms.
Rationale: Three-dimensional (3D) motion analysis has proved helpful in the diagnosis of different musculoskeletal syndromes and identifying injurious movement patterns in high string players. Furthermore, an optoelectronic 3D motion capture system allows an accurate and objective assessment of upper body posture and motion during violin and viola performance. However, no reference upper body model of high string players has been proposed as yet. Moreover, a more physiological shoulder model that separates the joints of the shoulder complex has not been reported. Especially in view of given the role of the scapula in the normal movement of the humerus, it cannot be disregarded when evaluating musculoskeletal strain in the shoulder.
The International Society of Biomechanics recommends definitions of joint coordinate systems for the report of upper body joint motion using anatomical landmarks as reference for the placement of surface markers. Using markers on the skin for some of the proposed locations is, however, inappropriate when an instrument is being played. There are skin movement artifacts, e. g. caused by the movement of the scapula underneath the skin, whereas some markers interfere with the instrument on the shoulder or might be occluded by the bowing arm in motion.
Purpose: The aim of this study was to develop a marker-based method for quantifying 3D upper body kinematics of high string players and to demonstrate its clinical feasibility in violin and viola performance. The method is intended to provide an objective evaluation of high string players’ motor strategies, especially in the shoulder complex, while minimizing skin movement artifacts, marker occlusions and limitations in instrument placement.
Methods: A custom marker set was developed consisting of thirty-one single markers to define the anatomical coordinate systems of sixteen upper body segments including the pelvis, thorax, spine and head, as well as both scapulae, upper arms, forearms and hands. Twenty-one of these markers as well as two pre-built and four custom-made rigid marker clusters were used for tracking the segment motions.
Twelve professional violinists without history of musculoskeletal or neurological problems were recruited for assessing the clinical feasibility of the method. They were asked to perform a single sequence of two consecutive musical notes on each of two adjacent strings (G- and D-string) in real time, played at 50 bpm with tempo audibly regulated by a metronome, and using a standardized violin and bow. The participants played up- and down-bow alternately using the whole length of the bow.
A custom biomechanical model was applied to the motion capture data and the rotation angles of fifteen joints were calculated. The location of each glenohumeral joint rotation center was computed by upper arm movements with respect to the scapula based on a functional method. For a description of the motion patterns, minimum, maximum and range of angular motion were averaged across participants for each string and rotation. Inter-subject variability was assessed by calculating the standard deviation (SD) at each sample of the angle-time series between participants for each rotation and for both strings. Then SD was averaged over sequences for each rotation and string. For comparing mean rotation angles between strings over time, random effect models were used.
Results: The highest range of motion was observed in the right elbow flexion and right wrist flexion/extension. Also, high ranges of motion (> 10°) were found in all right glenohumeral rotations and right wrist deviation and pronation/supination. In conclusion, lumbar and thoracic spine, thorax, neck, and left upper limb were quite static, while large motion occurred in the right upper limb during up and down bowing.
Most rotation angles showed a reasonable inter-subject variability except for left and right glenohumeral plane of elevation as well as left glenohumeral internal/external rotation, and left and right wrist pronation/supination (> 10°).
Significant differences in the rotation angles between G- and D-string bowing were detected especially in the left wrist and right shoulder joints.
Conclusions: This is the first study that used quantitative 3D analysis to explore the upper body kinematics of high string players during performance, providing a detailed view of the motor control in the shoulder as well as in the lumbar and thoracic spine. The biggest advantage over previously published methods is the more physiological shoulder and spine models while providing a simple application.
The method was found to give consistent motion patterns across participants and to be sensitive to differences between adjacent strings. Although the method appears to be valid, more rigorous validation is necessary. Since there is no gold standard with which we could compare results, we were only able to assess the clinical feasibility. We believe that our method represents a good compromise between accuracy and practicability for clinical application.
Due to the inclusion of multi-segmented shoulder and spine models, it will improve understanding of the motor strategies adopted by high string players and may contribute to injury prevention, diagnosis and treatment.
Rationale:
Instrumentalists often suffer from playing-related (neuro-)musculoskeletal disorders (PRMDs). Most common PRMDs in string players are related to upper-body regions. Motion analysis has proven to be helpful in the evaluation of functional disorders. It was already shown that it is a valid and clinically feasible tool for accurate, repeatable, and objective assessments of functional movement in string players. Thus, it may guide clinicians to improvements in injury prevention, diagnosis, and treatment. Nevertheless, its application in clinical consultation is still very uncommon. For this reason, there is a lack of well-established motion analysis protocols for the examination of PRMDs in string players using advanced biomechanical instruments in clinical settings.
Purpose:
To demonstrate the development and application of a motion analysis protocol for the evaluation of functional upper-body movements in violinists, violists, and cellists in a clinical setting for the investigation of PRMDs.
Approach:
The protocol was to be integrated into a clinical reasoning process for testing clinical hypotheses and evaluating treatment outcomes in physiotherapy. As a starting point, a primary clinical question was defined, and then, specific upper-body symptom regions as well as measurement parameters (relative rotation angles and muscle activities over time) were identified. Subsequently, involved segments, joints, and muscles were assorted. For quantification of upper-body kinematics a novel, marker-based method was used which provides multi-segmented shoulder and spine models while providing simple application. Based on that, a comprehensive mechanical model of the upper body as well as the associated coordinate systems and rotation sequences were specified. This further guided both, the definition of a custom-made marker set as well as the selection and placement of surface electrodes. Furthermore, required static and functional calibration trials as well as movement tasks for functional assessment were specified. Finally, advanced approaches, such as a comprehensive kinematic model and functional determination of joint centers and axes were established for extraction. Then, outcome parameters and their form of representation were determined for further analysis and interpretation.
The application of the method first includes the selection of segments, joints, and muscles to examine – originating from one or more clinical (working) hypotheses or symptom regions. This drives the configuration and placement of required surface markers and electrodes. Then, the required calibration and functional movement trials are executed. After measurement, the outcome parameters get extracted and analyzed. Based on the results the hypothesis is discarded or verified.
Content:
The method was applied to a violinist (female; 18 years old; 13 years of experience; practicing 2 to 3 hours per day, 7 days per week) with playing-related demands in the left cervical-shoulder-arm region.
Subjective findings indicated that the pain regularly occurred after 30 minutes of playing fast or difficult musical pieces. Physical examination showed that strength testing of left serratus anterior muscle caused pain, lower trapezius muscles seemed weak, forearm muscles were sensitive to pressure, movement of the cervical spine to the left was reduced, and upper limb neural tension test was noticeable.
This led to the following working hypothesis: Neck-related arm pain with neurodynamic component and motor control problem in the scapulothoracic region. Thus, left-sided cervical-shoulder-arm region was selected for functional examination.
Optoelectronic motion capture system and surface electromyography were used for data collection. Static and function calibration trials as well as functional assessment trials (chromatic scale with different tempi) were conducted. Afterwards, data was further processed, and outcome parameters were extracted.
Results showed that greater tempo and pain had an impact on the rotation angles and muscle activities. They led to less overall joint movement and range of motion, to less muscle activity in the forearm muscles, and to greater activity inputs in the scapulothoracic muscles. Overall, greater tempo and pain led to a different motor program which verified the working hypothesis.
The procedure was repeated after treatment (four appointments over one week) with manual therapy, training, and education. The pre-/post-interventional comparison showed changes in the motor program. There was noticeable higher mean activity in upper trapezius and deltoid muscles and simultaneously less in the remaining ones. In addition, only marginal differences in ranges of motion and muscle activity inputs were found between tempi. The playing style appeared to be more stable now. Overall, it appeared that nearly the same motor program was used for each tempo.
Clinical Implications:
Potential applications are intraindividual evaluations of simultaneously joint and muscular function in string players during clinical consultation. It is intended to contribute to the diagnosis of PRMDs in terms of an objective, comprehensive and yet clinically feasible diagnostic assessment as well as pre-post-intervention outcome evaluation.
Nonetheless, motion analysis must be used with care in clinical decision making. Motion data is subject to both, intraindividual variations, and measurement errors. In addition, the smallest clinically relevant changes are not clear yet. Therefore, results should only be interpreted together with other clinical findings.
Hintergrund: Instrumentalisten leiden häufig unter spielbedingten (neuro-) muskuloskelettalen Erkrankungen. Diese zeigen sich bei Streichern, wie Violinisten, Bratschisten und Cellisten, am häufigsten in Form von Beschwerden im Oberkörper – insbesondere im Schulter-Nacken-Bereich. Die apparative Bewegungsanalyse hat sich bereits als hilfreich bei der Beurteilung von muskuloskelettalen Erkrankungen und schädlichen Bewegungsmustern erwiesen und wird für die Diagnostik bei funktionellen Störungen empfohlen. Es wurde bereits gezeigt, dass die apparative biomechanische Bewegungsanalyse ein valides und klinisch praktikables Werkzeug für die genaue und objektive Untersuchung von Bewegungen bei Streichern ist, jedoch ist ihr Einsatz in der klinischen Konsultation immer noch sehr unüblich. Aus diesem Grund existiert ein Mangel an gut etablierten Bewegungsanalyse-Protokollen zur Untersuchung funktioneller Störungen bei Streichern unter Einsatz biomechanischer Instrumente in einem klinischen Umfeld wie der Physiotherapie.
Ziel ist es daher, die Entwicklung und Anwendung eines solchen Protokolls vorzustellen für die Beurteilung der funktionellen Spielbewegungen des Oberkörpers bei sowohl hohen als auch tiefen Streichern in einem physiotherapeutischen Umfeld.
Methode: Zunächst wurden auf Basis einer klinischen Fragestellung relevante Symptombereiche und Messparameter bestimmt. Anschließend wurden beteiligte Segmente, Gelenke und Muskeln selektiert. Darauf basierend wurde ein umfassendes (mechanisches) Modell des Oberkörpers sowie die dazugehörigen Koordinatensysteme und Rotationssequenzen definiert. Dies lenkte sowohl die Spezifikation eines speziell angefertigten Marker-Sets sowie fortgeschrittener Ansätze wie zur funktionellen Bestimmung von Gelenkzentren und -achsen, als auch die Auswahl und Platzierung von Oberflächenelektroden. Schließlich wurden Aktivitäten zur Kalibrierung und Untersuchung der Bewegungsfunktion sowie relevante Analyseparameter und deren Darstellungsformen festgelegt.
Die Protokolldurchführung beinhaltet zunächst die Auswahl der zu untersuchenden Segmente, Gelenke und Muskeln ausgehend von einer oder mehreren klinischen (Arbeits-)Hypothesen bzw. von den spezifischen Symptombereichen. Darauf basierend werden die benötigten Marker und Oberflächenelektroden konfiguriert und platziert. Anschließend werden die festgelegten Kalibrierungsmessungen und Bewegungsaufgaben durchgeführt. Schließlich werden die relevanten Ergebnisparameter zur Überprüfung der Hypothesen extrahiert.
Der klinische Einsatz der Methode wird exemplarisch anhand einer Violinistin mit spielbedingten Schmerzen erläutert.
Klinische Implikationen: Die potenzielle Anwendung des vorgestellten Vorgehens ist die intra-individuelle Evaluation von gleichzeitig der Gelenk- als auch der Muskelfunktion bei hohen und tiefen Streichern während der physiotherapeutischen Konsultation. Dies soll sowohl zur Diagnose funktioneller Erkrankungen des Bewegungsapparates in Form einer objektiven, umfassenden und dennoch klinisch praktikablen diagnostischen Untersuchung als auch zum prä-post-interventionellen Vergleich beitragen.
Fütterung von Zuchtstuten
(2023)
Fütterung von Jungpferden
(2023)
Fütterung von Zuchtstuten
(2022)
Fütterung von Jungpferden
(2022)
Climate change is the biggest social challenge facing the globalised world. The aim of this paper is to investigate the requirements for governance structures in regional sustainability programmes against climate change.
The study is an explorative case study. It is based on a literature review and expert interviews. It also involves the participatory observation of working groups meetings, and a design thinking workshop.
In spite of their enormous importance, little is known about the institutional conditions of the regional governance of climate change projects in Germany.
For this reason, the research project focuses on the important aspect of networking and governance structures. Consequently, the investigation will contribute to answering the question of which institutional framework conditions can raise the likelihood of climate change projects having a sustainable effect.
The outcomes of the application
This research has not only practical implications for the single case. The exploration of the critical factors of success also offers other regions important food for thought in shaping their governance structures. In particular, the design thinking process and the business network in the District of Steinfurt offer valuable points of reference.
Purpose
Attracting skilled students is an important aim of many cities in a knowledge-based society. This paper focuses on urban factors of attractiveness from a student's perspective and analyses their influence on locational choices of students. The criteria found were also used to evaluate how the City of Osnabrück, Germany, is rated in terms of these criteria and to reveal the greatest discrepancies.
Design / Methodology / Approach
The paper is based on a multi-level empirical research concept, including qualitative and quantitative approaches. A survey of 2,300 students was conducted in Osnabrück on the basis of focus group discussions with students and interviews with various experts such as a neighbourhood manager, an urban planner, a district mayor, a college president, a real estate manager.
Originality/value
To date, little research has been undertaken to empirically examine the specific requirements that German students look for in a place to live and study. According to the author’s present state of knowledge (January 2018), a comparable study has not been done.
The main contribution of this paper is the empirical analysis of what makes cities attractive to students. In contrast to the findings of Richard Florida about the Creative Class, the cleanliness of a city, beautiful city scenery, and attractive apartments are more important to students than cultural offers, interesting job opportunities, or a multicultural population.
Practical Implications
Insights from the empirical survey can both help to analyse important factors in students' decision-making process and provide possible measures that the city stakeholders can take.
Keywords
1. Knowledge-based urban development
2. Mobility decisions by students and skilled professionals
3. Location factors
4. Place branding
Proposed paper: Academic Research Paper
Iron deficiency is a global issue and can lead to a variety of clinical pictures. The biofor-tification of vegetables with iron could complement the existing portfolio of iron-rich products, thus improving iron supply in the long term. In order to determine whether the iron-biofortified vegetables could meet this demand and would address appropriate target groups, a quantitative online survey was conducted in Germany. Based on 1000 consumer responses, a cluster analysis was performed. The results showed a four-cluster solution. The first cluster was holistically engaged, the second was fitness-affine but health unconcerned, the third cluster consists frugal eaters with a focus on medical prevention, and the fourth cluster are hedonists. No cluster focused its consumption on iron-enriched products, but instead all developed an individual mix of the three product groups.
Perceptions of German consumers regarding methods for fortifying foods with iodine (Abstract)
(2022)
Die Verbreitung von Informationstechnologien (IT) im Gesundheitswesen sowie deren Einflussgrößen sind Betrachtungsobjekt der Adoptions- und Diffusionsforschung. Neues Wissen aus diesen Studien wird dabei häufig als summative Umfrageergebnisse disseminiert. Mit dem in diesem Beitrag vorgestellten Web-Portal werden die individuellen Umfrageergebnisse im Vergleich zu einer Referenzgruppe präsentiert. Das erfolgt in flexibler Form unter Verwendung von reliablen und validen Kennzahlen der IT-Prozessunterstützung, die in einer hierarchischen Struktur angeordnet sind. Es werden die Entwicklung des Web-Portals als Benchmarking Instrument, seine Anwendung und eine initiale Evaluation vorgestellt. Es zeigte sich, dass das Web-Portal anhand aktueller Benchmarking-Ergebnisse von 197 Krankenhäusern einsetzbar ist, seine Anwendung als nützlich und die Indikatoren als verständlich eingeschätzt werden.
Health IT adoption research is rooted in Rogers' Diffusion of Innovation theory, which is based on longitudinal analyses. However, many studies in this field use cross-sectional designs. The aim of this study therefore was to design and implement a system to (i) consolidate survey data sets originating from different years (ii) integrate additional secondary data and (iii) query and statistically analyse these longitudinal data. Our system design comprises a 5-tier-architecture that embraces tiers for data capture, data representation, logics, presentation and integration. In order to historicize data properly and to separate data storage from data analytics a data vault schema was implemented. This approach allows the flexible integration of heterogeneous data sets and the selection of comparable items. Data analysis is prepared by compiling data in data marts and performed by R and related tools. IT Report Healthcare data from 2011, 2013 and 2017 could be loaded, analysed and combined with secondary longitudinal data.
The usage of high-level synthesis (HLS) tools for FPGAs has increased significantly over the last years since they matured and allow software programmers to take advantage of reconfigurable hardware technology.
Most HLS tools employ methods to optimize for loops, e. g. by unrolling or pipelining them. But there is hardly any work on the optimization of while loops. This comes at no surprise since most while loops have loop-carried dependences involving the loop condition which result in large recurrence cycles in the dataflow graphs. Therefore typical while loops cannot be parallelized or pipelined.
We propose a novel transformation which allows to optimize while loops nested within a for loop. By interchanging the two loops, it is possible to pipeline (and thereby parallelize) the inner loop, resulting in a reduced execution time. We present two case studies on different hardware platforms and show the speedup factors - compared to a host processor and to an unoptimized hardware implementation - achieved by our while loop optimization method.
Artificial intelligence (AI) promises transformative impacts on society, industry, and agriculture, while being heavily reliant on diverse, quality data. The resource-intensive "data
problem" has initialized a shift to synthetic data. One downside of synthetic data is known as the "reality gap", a lack of realism. Hybrid data, combining synthetic and real data, addresses this. The paper examines terminological inconsistencies and proposes a unified taxonomy for real, synthetic, augmented, and hybrid data. It aims to enhance AI training datasets in smart agriculture, addressing the challenges in the agricultural data landscape. Utilizing hybrid data in AI models offers improved prediction performance and adaptability.
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.
This paper introduces and empirically illustrates a pedagogical approach to teaching Public Relations (PR) in higher education. The approach is based on the Communities of Practice theory (Wenger, 1998). Based on this theory and for the purposes of this paper, learning is perceived as (1) a participation in a practice of (2) a social community and (3) the understanding of this practice. The pedagogical approach to teaching PR entails the facilitation of these three elements. The approach is illustrated through a case study. The authors conducted an international undergraduate course to teach students how to conduct a social media campaign to raise engagement for social issues. Twenty students from Netherlands and Germany enrolled. The paper offers an integrated understanding of theory and practice (see Wenger, 1998, p. 48). It contrasts many current approaches in PR education, which tend to differentiate between PR theory and practice. PR educators are encouraged to facilitate an equal negotiation between theory and practice and to enable students to match whatever is theorised with practice and whatever is practiced with theory.
This paper presents an optimized algorithm for estimating static and dynamic gait parameters. We use a marker- and contact-less motion capture system that identifies 20 joints of a person walking along a corridor.
Based on the proposed gait cycle detection basic metrics as walking frequency, step/stride length, and support phases are estimated automatically. Applying a rigid body model, we are capable to calculate static and dynamic gait stability metrics. We conclude with initial results of a clinical study evaluating orthopaedic technical support.
he development of context-aware applications is a difficult and error-prone task. The dynamics of the environmental context combined with the complexity of the applications poses a vast number of possibilities for mistakes during the creation of new applications. Therefore it is important to test applications before they are deployed in a life system. For this reason, this paper proposes a testing tool, which will allow for automatic generation of various test cases from application description documents. Semantic annotations are used to create specific test data for context-aware applications. A test case reduction methodology based on test case diversity investigations ensures scalability of the proposed automated testing approach.
Besides yield reduction weeds have positive effects, like enhancing biodiversity or reducing soil erosion. The aim of the work is to enhance biodiversity without yield losses. In growing season 2021/22 a field experiment with winter triticale was conducted to experience the impact of mechanical weed control, sowing date and sowing rate. Especially hoeing had a positive impact on vegetative growth and grain yield while weed growth was inhibited but weed biodiversity stayed equal or increased. A lower seed rate or an earlier sowing date made in general no difference at flowering or harvesting stage.
Due to the emerging evidence of health IT as opportunity and risk for clinical workflows, health IT must undergo a continuous measurement of its efficacy and efficiency. IT-benchmarks are a proven means for providing this information. The aim of this study was to enhance the methodology of an existing benchmarking procedure by including, in particular, new indicators of clinical workflows and by proposing new types of visualisation. Drawing on the concept of information logistics, we propose four workflow descriptors that were applied to four clinical processes. General and specific indicators were derived from these descriptors and processes. 199 chief information officers (CIOs) took part in the benchmarking. These hospitals were assigned to reference groups of a similar size and ownership from a total of 259 hospitals. Stepwise and comprehensive feedback was given to the CIOs. Most participants who evaluated the benchmark rated the procedure as very good, good, or rather good (98.4%). Benchmark information was used by CIOs for getting a general overview, advancing IT, preparing negotiations with board members, and arguing for a new IT project.
As health IT supports processes along the entire patient trajectory and involves different types of professional groups, eHealth is inter-professional by nature. The aim of this study, therefore, is to investigate which competencies are at the intersection of the individual groups of health professionals. 718 international experts provided relevance ratings of eHealth competencies for different professional roles in an online survey. Communication and leadership proved to be important competencies across all professions, not only for executives. None or very little differences between professions were found between physicians and nurses, between IT experts at different levels and between IT experts and executives. However, there were a number of competencies rated differently when contrasting direct patient care specialists with executives. These findings should encourage organisations issuing educational recommendations to specify areas of shared competencies more extensively.
Background: IT is getting an increasing importance in hospitals. In this
context, major IT decisions are often made by CEOs who are not necessarily IT
experts. Objectives: Therefore, this study aimed at a) exploring different types of IT
decision makers at CEO level, b) identifying hypotheses if trust exists between these
different types of CEOs and their CIOs and c) building hypotheses on potential
consequences regarding risk taking and innovation. Methods: To this end, 14
qualitative interviews with German hospital CEOs were conducted to explore the
research questions. Results: The study revealed three major types: IT savvy CEOs,
IT enthusiastic CEOs and IT indifferent CEOs. Depending on these types, their
relationship with the CIO varied in terms of trust and common language. In case of
IT indifferent CEOs, a potential vicious circle of lack of IT knowledge, missing trust,
low willingness to take risks and low innovation power could be identified.
Conclusion: In order to break of this circle, CEOs seem to need more IT knowledge
and / or greater trust in their CIO.
Health IT and communication systems are indispensable in German hospitals for clinical as well as administrative process support. However, IT is often regarded as a “black box” for hospital CEOs. Thus, the question arises how can CEOs decide if they do not know what is in the box? In order to answer this question, half-structured interviews with 14 German hospital CEOs were conducted. They revealed three principle decision processes: the supported decision, the joint decision and the corporate level decision. In all cases, the hospital CEO and the CIO interacted to reach the final decision, most strongly in the joint decision mode and least strongly in the corporate decision mode. Only the joint decision mode definitely forced the CEO to open the “black box” of IT. In the era of digitalisation, however, CEOs must develop better competencies to decide over complex matters.