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The aim of this European interprofessional Health Informatics (HI) Summer School was (i) to make advanced healthcare students familiar with what HI can offer in terms of knowledge development for patient care and (ii) to give them an idea about the underlying technical and legal mechanisms. According to the students’ evaluation, interprofessional education was very well received, problem-based learning focussing on cases was rated positively and the learning goals were met. However, it was criticised that the online material provided was rather detailed and comprehensive and could have been a bit overcharging for beginners. These drawbacks were obviously compensated by the positive experience of working in international and interprofessional groups and a generally welcoming environment.
In September 2022, the interprofessional European Summer School on the topic “Information in Healthcare – From Data to Knowledge” was held at the University of Porto. This Summer School included the topics Interoperability, Data Protection and Security and Data Analytics and consisted of an online preparation phase and an attendance phase in Porto. The didactic concept involved problem-based learning using a case study. A variety of course materials were developed and used to achieve the learning objectives. There are plans to continue the Summer School concept at participating institutions in the future, starting with a Spring School 2023 in Osnabrück.
IO6 is a report of the evaluation of the online courses and Summer School. The project plan of eHealth4all@EU guides the evaluation. The aim of the evaluation is to present the strengths and developing parts of the project. The main evaluation themes are eHealth, inter-professional education, and problem-based learning. For the funder’s perspective, evaluation focusing themes of digital support, lifelong learning, an active citizen, and the future. Evaluation of the project assign around all these themes and will find out students’ and teachers’ feelings of satisfaction, efficiency, and quality of the learning experience.
Interoperability, Data Protection and Security and Data Analytics are of high relevance for the future of eHealth and interprofessional care. Three online courses were therefore designed and delivered for these topics, all of which followed the same structure. A variety of materials were developed and different tools for knowledge transfer, communication and collaboration were used.
The University of Eastern Finland was the responsible partner of IO1: European eHealth Education: Policy and Practice Review. The aim of this intellectual output was to customize and validate the already existing international health informatics recom-mendations. Based on that the aim was also to describe the priorities of core compe-tencies and learning outcomes particularly in the fields addressed by this project. The methods used were a scoping review and focus group interviews. The aim of the scoping review was to explore how education in health informatics (HI) has been taught by evaluating the existing international frameworks and reported ed-ucations in HI. The scoping review was conducted based on the instructions of Joanna Briggs Institute to find English language publications published between 2016 and 2020. All publications found in the bibliographical database MEDLINE via PubMed, Scopus and Web of Sciences were included. The results indicated that education in HI is essential to everyone, and everyone needs skills and knowledge in both technical and non-technical skills in HI. Education in HI should be introduced already in the first year of the education and with time increase the knowledge to a more advanced level. The teaching methods can vary between lectures in class to a more hybrid method. The aim of the online focus group interview was to investigate the needs of HI compe-tencies in health care. To achieve the answers, two main questions were used as a base of the interview. The first question focused on how knowledge and competencies in health informatics could contribute to improving health care. The second question focused on which HI competencies are seen as important to learn and how to achieve them. Online focus group interviews were conducted in each of the three countries. The interviews were done the own languages (German, Portuguese, and Finnish) and later summarized and translated to English. The focus group interviews concluded that there are challenges and possibilities in health informatics. It also highlighted the com-petencies seen as important to have in daily working life. For example, skills in appli-cations in patient care, knowledge in IT-background and IT related management are considered important.
Problem-based learning (PBL) has become established as a successful didactic approach far beyond the field of medicine. Although there is no single concept of PBL, there is agreement on its objectives and implementation. Of central importance is the case that supports autonomous and reflective learning. Even before COVID-19, digital methods were used in traditional PBL. These served to support, for example, the provision of learning materials. As a result of university closures during the COVID-19 pandemic, technical solutions were made available at an unprecedented speed, which made it possible to implement the different requirements of traditional PBL in a digital PBL (DPBL). The present study results based on two scoping reviews demonstrated that PBL can be implemented digitally and that different digital methods, both asynchronous and synchronous, are available for the different steps. They show that DPBL not only leads to comparable student performance, but can also develop further competences, e.g. digital communication. With the findings, a concept for the implementation of DPBL as well as recommendations for the further development of DPBL are available.
This report summarizes and discusses the development, main achievements and overall progress of The Interprofessional European eHealth Programme in Higher Education (eHealth4all@EU) project. The project evolved through a strong partnership between members of the consortium, grounding its activities on previous initiatives like TIGER and taking them one step further while looking into the digital health competencies required by graduate students working in health and care and providing teaching approaches and other initiatives to extend further a set of core competencies: Health Information Systems Interoperability, Data Security and Privacy and Data Analytics. Although the project activities underwent during the pandemic period, a condition that forced reorganization and adaptation of the workplan, the main initiatives like the identification of significant areas of interest for digital health competencies and related relevant teaching methods that foster active learning paved the way for the construction of learning content structured around a syllabus aimed at distance learning and faceto- face learning moments developed with the intent for reuse and fostering the development of these set of competences in future Health Professionals. To this purpose, we are convinced that grounding steps have been taken with these eHealth4All@EU activities and initiatives.
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.
The diabetic foot ulcer, which 2% – 6% of diabetes patients experience, is a severe health threat. It is closely linked to the risk of lower extremity amputation (LEA). When a DFU is present, the chief imperative is to initiate tertiary preventive actions to avoid amputation. In this light, clinical decision support systems (CDSS) can guide clinicians to identify DFU patients early. In this study, the PEDIS classification and a Bayesian logistic regression model are utilised to develop and evaluate a decision method for patient stratification. Therefore, we conducted a Bayesian cutpoint analysis. The CDSS revealed an optimal cutpoint for the amputation risk of 0.28. Sensitivity and specificity were 0.83 and 0.66. These results show that although the specificity is low, the decision method includes most actual patients at risk, which is a desirable feature in monitoring patients at risk for major amputation. This study shows that the PEDIS classification promises to provide a valid basis for a DFU risk stratification in CDSS.
Apps have been attested to empower patients regarding disease self-management through numerous studies. However, it is still unclear what factors determine the perception of patients whether an app is a useful tool for this purpose. A multiple regression model that was informed by the Technology Acceptance Model (TAM 2) was tested based on the answers of 235 app users with Diabetes type 1 or 2. The model accounted for 59.2% of the variance of the perceived degree of self-management. Factors belonging to the relevance-usefulness-quality complex as well as factors reflecting the patient’s self-control were found to be significant in the model. Patient demographics, i.e. age, gender, app experience and type of Diabetes did not play any significant role. In conclusion, this study raises the question whether apps should be designed to strengthen self-management in the sense of self-control (e.g. own measurements, diary) as opposed to guiding and advice giving.
With the start of the 21st century, patient safety as a topic of special interest has attracted increasing attention in both academia and clinical practice. As technology has continued to develop since then, questions and focal points surrounding the topic have also shifted. In particular, questions regarding the impact of digitalization on patient safety and its measurement are now of high interest. This work aims to develop a maturity assessment instrument in the form of a criteria set for measuring structural requirements for digital patient safety in hospitals. Based on the results of a literature review and a derivation of maturity objects (MO) from known maturity models, 64 criteria across 11 categories were developed. Written comments of two digital patient safety experts as well as subsequent interviews were used to evaluate and refine the criteria catalog. The resulting catalog offers hospitals guidance for detecting possible areas of structural improvements in their information systems with regard to patient safety and represents a unique instrument for assessing digital maturity in this particular area.
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.
This study describes the eHealth4all@eu course development pipeline that builds upon the TIGER educational recommendations and allows a systematic development grounded on scientific and field requirements of competencies, a case/problem-based pedagogical approach and finally results in the syllabus and the course content. The pipeline is exemplified by the course Learning Healthcare in Action: Clinical Data Analytics.
Communication deficits belong to the most frequent errors in patient handovers calling upon specialized training approaches to be implemented. This study aims to harness problem-based learning (PBL) methods in handover education and evaluated the learning process. A digitally enabled PBL course was developed and implemented at Klinikum Osnabrück from which eight nurses participated in the course. They agreed on the stimulating effect of the setting regarding self-directed learning and on the potential to translate the new knowledge and skills into the daily clinical practice. In conclusion, the findings are promising that a digitally enabled PBL course is a suitable learning format for handover education.
Background:
Contact tracing apps are potentially useful tools for supporting national COVID-19 containment strategies. Various national apps with different technical design features have been commissioned and issued by governments worldwide.
Objective:
Our goal was to develop and propose an item set that was suitable for describing and monitoring nationally issued COVID-19 contact tracing apps. This item set could provide a framework for describing the key technical features of such apps and monitoring their use based on widely available information.
Methods:
We used an open-source intelligence approach (OSINT) to access a multitude of publicly available sources and collect data and information regarding the development and use of contact tracing apps in different countries over several months (from June 2020 to January 2021). The collected documents were then iteratively analyzed via content analysis methods. During this process, an initial set of subject areas were refined into categories for evaluation (ie, coherent topics), which were then examined for individual features. These features were paraphrased as items in the form of questions and applied to information materials from a sample of countries (ie, Brazil, China, Finland, France, Germany, Italy, Singapore, South Korea, Spain, and the United Kingdom [England and Wales]). This sample was purposefully selected; our intention was to include the apps of different countries from around the world and to propose a valid item set that can be relatively easily applied by using an OSINT approach.
Results:
Our OSINT approach and subsequent analysis of the collected documents resulted in the definition of the following five main categories and associated subcategories: (1) background information (open-source code, public information, and collaborators); (2) purpose and workflow (secondary data use and warning process design); (3) technical information (protocol, tracing technology, exposure notification system, and interoperability); (4) privacy protection (the entity of trust and anonymity); and (5) availability and use (release date and the number of downloads). Based on this structure, a set of items that constituted the evaluation framework were specified. The application of these items to the 10 selected countries revealed differences, especially with regard to the centralization of the entity of trust and the overall transparency of the apps’ technical makeup.
Conclusions:
We provide a set of criteria for monitoring and evaluating COVID-19 tracing apps that can be easily applied to publicly issued information. The application of these criteria might help governments to identify design features that promote the successful, widespread adoption of COVID-19 tracing apps among target populations and across national boundaries.
Background:
Large health organizations often struggle to build complex health information technology (HIT) solutions and are faced with ever-growing pressure to continuously innovate their information systems. Limited research has been conducted that explores the relationship between organizations’ innovative capabilities and HIT quality in the sense of achieving high-quality support for patient care processes.
Objective:
The aim of this study is to explain how core constructs of organizational innovation capabilities are linked to HIT quality based on a conceptual sociotechnical model on innovation and quality of HIT, called the IQHIT model, to help determine how better information provision in health organizations can be achieved.
Methods:
We designed a survey to assess various domains of HIT quality, innovation capabilities of health organizations, and context variables and administered it to hospital chief information officers across Austria, Germany, and Switzerland. Data from 232 hospitals were used to empirically fit the model using partial least squares structural equation modeling to reveal associations and mediating and moderating effects.
Results:
The resulting empirical IQHIT model reveals several associations between the analyzed constructs, which can be summarized in 2 main insights. First, it illustrates the linkage between the constructs measuring HIT quality by showing that the professionalism of information management explains the degree of HIT workflow support (R²=0.56), which in turn explains the perceived HIT quality (R²=0.53). Second, the model shows that HIT quality was positively influenced by innovation capabilities related to the top management team, the information technology department, and the organization at large. The assessment of the model’s statistical quality criteria indicated valid model specifications, including sufficient convergent and discriminant validity for measuring the latent constructs that underlie the measures of HIT quality and innovation capabilities.
Conclusions:
The proposed sociotechnical IQHIT model points to the key role of professional information management for HIT workflow support in patient care and perceived HIT quality from the viewpoint of hospital chief information officers. Furthermore, it highlights that organizational innovation capabilities, particularly with respect to the top management team, facilitate HIT quality and suggests that health organizations establish this link by applying professional information management practices. The model may serve to stimulate further scientific work in the field of HIT adoption and diffusion and to provide practical guidance to managers, policy makers, and educators on how to achieve better patient care using HIT.
Objectives: This study aimed at the construction of what the core of eHealth policy making is, offering new perspectives about high priority procedures along the policy making process
Methods: Following Grounded Theory methodology, 59 qualitative telephone interviews with a broad variety of stakeholders from Austria, Switzerland and Germany were conducted
Results: The findings hinted at five priorities of eHealth policy making: strategy, consensus-building, decision-making, implementation and evaluation that emerged from the stakeholders’ perception of the eHealth policy. Hereby strategy, consensus-building and implementation gained the highest attention
Conclusions: These findings suggest three high priorities in eHealth policy: 1) developing and pursuing a consistent eHealth strategy, 2) investing time and resources into consensus-building to clear up difficulties early on in the process, 3) governing implementation towards serving patient care through systems fit for practice.
Public Interest Summary: Digitalisation is playing an increasingly crucial role in providing high quality health care. However, different countries have pursued different political paths. In this study, we wanted to know how the stakeholders perceived the political process in their country to identify strengths and weaknesses. We, therefore, conducted interviews about digital health policy with experts from Austria, Switzerland and Germany covering the full spectrum of stakeholders. The findings suggest three political musts: 1) a convincing and coherent strategy followed throughout the entire process, 2) consensus- building among the stakeholders, 3) using “fit for practice” as the yardstick to measure political success.
This paper provides a discourse based upon the key development of nursing in response to the emerging 4Ds of health technology re-design. Building informatics capability among health professionals is a workforce issue necessitated through the increasing prevalence of information technology and digitization of healthcare affecting the entire health workforce, specifically front-line nurses. The key concepts will be explored of Digitization, Distribution, Disruption and Diversity, a framework recognising the tsunami of technology such as Big Data analytics, comprehensive decision support systems for nursing, nanobots, robotics, and pharmacogenomics and the impact these have upon the nursing workforce.
Building on Rogers’ Diffusion of Innovation Theory, Bass models describe the diffusion processes distinguishing between innovation (p) and imitation (q). This study aimed at modelling the uptake of RIS, PACS and EHR systems in Germany and Finland. The Bass models revealed a quick and almost identical uptake process across all three systems for Finland. In contrast, the Bass models mirrored a slower uptake in Germany. Consequently, the Finnish “imitation” coefficients were larger than the German ones. While in Germany almost free market forces were driving the adoption through imitation but without tail wind from policy, the adoption process in Finland was centrally governed. This suggests that the diffusion process in Finland reflected a well-managed roll-out of the systems rather than imitation behaviour. Thus, in order for Bass model coefficients to be understood properly, additional contextual information is required.
Access to digital technologies depends on the availability of technical infrastructure, but this access is unequally distributed among social groups and newly summarized under the term digital divide. The aim is to analyze the perception of a tracing app to contain Covid-19 in Germany. The results showed that participants with the highest level of formal education rate the app as beneficial and were the most likely to use the app.
Background
Digital health technologies enable patients to make a personal contribution to the improvement of their health by enabling them to manage their health. In order to exploit the potential of digital health technologies, Internet-based networking between patients and health care providers is required. However, this networking and access to digital health technologies are less prevalent in sociodemographically deprived cohorts. The paper explores how the use of digital health technologies, which connect patients with health care providers and health insurers has changed during the COVID-19 pandemic.
Methods
The data from a German-based cross-sectional online study conducted between April 29 and May 8, 2020, were used for this purpose. A total of 1.570 participants were included in the study. Accordingly, the influence of sociodemographic determinants, subjective perceptions, and personal competencies will affect the use of online booking of medical appointments and medications, video consultations with providers, and the data transmission to health insurers via an app.
Results
The highest level of education (OR 1.806) and the presence of a chronic illness (OR 1.706) particularly increased the likelihood of using online booking. With regard to data transmission via an app to a health insurance company, the strongest increase in the probability of use was shown by belonging to the highest subjective social status (OR 1.757) and generation Y (OR 2.303). Furthermore, the results show that the higher the subjectively perceived restriction of the subjects' life situation was due to the COVID-19 pandemic, the higher the relative probability of using online booking (OR 1.103) as well as data transmission via an app to a health insurance company (OR 1.113). In addition, higher digital literacy contributes to the use of online booking (OR 1.033) and data transmission via an app to the health insurer (OR 1.034).
Conclusions
Socially determined differences can be identified for the likelihood of using digital technologies in health care, which persist even under restrictive conditions during the COVID-19 pandemic. Thus, the results indicate a digital divide with regard to the technologies investigated in this study.
Einleitung: Whiteboards können als ein Instrument des Lean Managements zur Steuerung der Verweildauer auf Stationen eingesetzt werden, um aktuelle Patienteninformationen zu bündeln und in regelmäßigen strukturierten sowie interdisziplinären Besprechungen die Patientenversorgung zu steuern, die interdisziplinäre Zusammenarbeit zu optimieren und das Entlassungsmanagement zu verbessern. Das Ziel dieser Studie bestand darin, zu untersuchen, inwiefern die Einführung von Whiteboards in zwei Kliniken mit einer Veränderung der Verweildauer einherging.
Methode: Um die Forschungsfrage zu beantworten, wurden retrospektive Zeitreihen aus den DRG-Routinedaten vor und nach Installation der Whiteboards aus den beiden Kliniken in einem Interrupted Time Series Design genutzt. In der einen Klinik (Chirurgie) lagen 3.734 Fälle für den Zeitraum von Januar 2018 bis Dezember 2019 und in der anderen Klinik (Innere Medizin) 54.049 Fälle für den Zeitraum Juli 2013 bis Dezember 2019 vor.
Ergebnisse: In dem gemittelten Vergleich der Verweildauer (relative Verweildauerabweichung pro DRG von dem jeweiligen Verweildauermittel) konnte in der ersten Klinik kein signifikanter Unterschied zwischen den Werten vor und nach Einführung des Boards festgestellt werden. Am zweiten Klinikum zeigte sich sogar im Vorher-Nachher-Vergleich eine signifikante Verschlechterung der Verweildauer. Eine deskriptive Zeitreihenanalyse vor und nach Einführung zeigte in beiden Kliniken, dass kurz nach der Einführung der Boards sich die Verweildauer verschlechterte, anschließend jedoch verbesserte, d.h. dass die Patienten durchschnittlich früher entlassen wurden. Dieser Unterschied ging jedoch im Zeitverlauf wieder zurück.
Diskussion: Zusammenfassend lässt sich festhalten, dass keine Verbesserung in der Verweildauer im Zuge der Nutzung der Whiteboards durch einen reinen Vorher-Nachher-Vergleich nachweisbar war. In der anschließenden Zeitreihenbetrachtung zeigten sich starke Schwankungen, die zunächst mit einer kurzzeitigen Verschlechterung der Verweildauer nach der Implementierung einhergingen und dann zu einer Verbesserung führten. Im Zeitverlauf verblasste der Unterschied jedoch, sodass die Patienten wieder später entlassen wurden. Methodisch zeigt sich, dass im Gegensatz zu der reinen Vorher-Nachher-Analyse erst eine Zeitreihenbetrachtung einen Einblick in das Geschehen und seine Variabilität lieferte. Für die Praxis ergeben sich folgende Implikationen: Whiteboards können als ein hilfreiches Instrument von Lean Management zur Verweildauersteuerung angesehen werden, wie die zwischenzeitlichen Verbesserungen nahelegen. Dies erfordert jedoch eine kontinuierliche, unter Einbezug der Mitarbeiter durchgeführte Pflege der Informationen und einen erkennbaren Mehrwert. Perspektivisch empfiehlt sich zudem eine Digitalisierung der Boards, um den Nachteilen wie der manuellen Pflege entgegenzuwirken.
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.
Background
Diabetes mellitus is a major global health issue with a growing prevalence. In this context, the number of diabetic complications is also on the rise, such as diabetic foot ulcers (DFU), which are closely linked to the risk of lower extremity amputation (LEA). Statistical prediction tools may support clinicians to initiate early tertiary LEA prevention for DFU patients. Thus, we designed Bayesian prediction models, as they produce transparent decision rules, quantify uncertainty intuitively and acknowledge prior available scientific knowledge.
Method
A logistic regression using observational collected according to the standardised PEDIS classification was utilised to compute the six-month amputation risk of DFU patients for two types of LEA: 1.) any-amputation and 2.) major-amputation. Being able to incorporate information which is available before the analysis, the Bayesian models were fitted following a twofold strategy. First, the designed prediction models waive the available information and, second, we incorporated the a priori available scientific knowledge into our models. Then, we evaluated each model with respect to the effect of the predictors and validity of the models. Next, we compared the performance of both models with respect to the incorporation of prior knowledge.
Results
This study included 237 patients. The mean age was 65.9 (SD 12.3), and 83.5% were male. Concerning the outcome, 31.6% underwent any- and 12.2% underwent a major-amputation procedure. The risk factors of perfusion, ulcer extent and depth revealed an impact on the outcomes, whereas the infection status and sensation did not. The major-amputation model using prior information outperformed the uninformed counterpart (AUC 0.765 vs AUC 0.790, Cohen’s d 2.21). In contrast, the models predicting any-amputation performed similarly (0.793 vs 0.790, Cohen’s d 0.22).
Conclusions
Both of the Bayesian amputation risk models showed acceptable prognostic values, and the major-amputation model benefitted from incorporating a priori information from a previous study. Thus, PEDIS serves as a valid foundation for a clinical decision support tool for the prediction of the amputation risk in DFU patients. Furthermore, we demonstrated the use of the available prior scientific information within a Bayesian framework to establish chains of knowledge.
Introduction: Handovers are a central process for ensuring information continuity in patient care and, therefore, possess a major influence on patient safety as errors due to poor handovers can lead to life-threatening events. Education to improve handovers and ensure safe patient care can be supported by using critical incident reporting systems (CIRS). The aim of the study is to perform a content analysis of a national CIRS-database with regard to identifying adverse events in handovers situations and to derive competencies for the development of continuing education from these findings.
Methods: A meta model served as a research framework to merge the empirical findings with the London protocol of analysing critical events and the Canadian framework of safety competencies. Relevant cases to be investigated were searched in a freely accessible German CIRS database.
Results: A total of 253 case descriptions were found and analysed. Team factors emerged as the most frequently reported influencing factors following the analysis of the London protocol. Communication errors and missing information as well as a lack of appropriate standards and processes appeared to be the main reasons for critical events to occur. Most of the events happened in units involving surgery and intensive care. A mapping of patient safety competences with the reasons for critical events was conducted in order to determine the practical, concrete and handover related competencies.
Conclusion: Data from a CIRS database and theoretical frameworks can be combined to extract meaningful information about patient safety risks in handover situations. The results are useful for developing curricula to improve handovers based on patient safety competencies.
Wirtschaftsinformatik und Medizinische Informatik gehören zu den sogenannten Bindestrich-Informatik-Fächern, die sich mit der Anwendung der Methoden und Erkenntnisse der Informatik, aber auch mit der Weiterentwicklung solcher Methoden und Erkenntnisse für gewisse Anwendungsgebiete befassen. Auf einer Podiumsdiskussion der Jahrestagung 2018 der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) wurde für Wirtschaftsinformatik, Medizinische Informatik und Informatik analysiert wie sie zueinander stehen. Die Analyse erfolgte anhand von fünf Fragen:
1. Welche grundlegenden Ziele bestimmen die jeweilige wissenschaftliche Arbeit?
2. Wie ist der Praxisbezug ausgeprägt?
3. Inwieweit sind Besonderheiten von Medizin bzw. Ökonomie prägend für die jeweilige wissenschaftliche Arbeit?
4. Welche Rolle spielen Theoriefundierung und Evidenz?
5. Was können Wirtschaftsinformatik und Informatik von Medizinischer Informatik und Medizin lernen – und umgekehrt?
Die Analyse zeigt, dass die drei Disziplinen von einem systematischen wechselseitigen Austausch profitieren können. Das „Lernende Gesundheitssystem“ bietet Ansätze für einen entsprechenden Rahmen.
Background: Crowding in emergency departments (ED) has a negative impact on quality of care and can be averted by allocating additional resources based on predictive crowding models. However, there is a lack in effective external overall predictors, particularly those representing public activity.
Objectives: This study, therefore, examines public activity measured by regional road traffic flow as an external predictor of ED crowding in an urban hospital.
Methods: Seasonal autoregressive cross-validated models (SARIMA) were compared with respect to their forecasting error on ED crowding data.
Results: It could be shown that inclusion of inflowing road traffic into a SARIMA model effectively improved prediction errors.
Conclusion: The results provide evidence that circadian patterns of medical emergencies are connected to human activity levels in the region and could be captured by public monitoring of traffic flow. In order to corroborate this model, data from further years and additional regions need to be considered. It would also be interesting to study public activity by additional variables.
Although user participation may facilitate the realisation of IT innovations, various literature analyses show only minimal to moderate evidence for such effects possibly due to disregard of mediating factors. Against this background, this study examines the extent to which joint intrapreneurship of clinical leaders and IT leaders as well as a distinct innovation culture mediate the effect of user participation on hospitals’ IT innovativeness. IT innovativeness was measured by the availability and usability of IT functions and by the perceived ‘innovative power’ of a hospital. An empirical model was developed and tested with data from 168 clinical leaders and IT leaders who participated pairwise in a survey representing 84 German hospitals. Three parallel mediation analyses indicated that the participation of users could only lead to IT innovativeness if they were accompanied by intrapreneurial leadership on the part of clinical directors and IT leaders and if a pronounced innovation culture prevailed.
Das Ausmaß der Digitalisierung im Gesundheitswesen bemisst sich daran, wie gut die vorhandene IT Informationslogistik bedienen kann. Der IT-Report Gesundheitswesen ist eine Umfragereihe, die seit 16 Jahren den Digitalisierungsgrad in Krankenhäusern untersucht und eine Familie von Composite Scores bereitstellt, insbesondere den Workflow Composite Score (WCS) zur Messung der klinischen Informationslogistik. Dieser lag mit durchschnittlich 56 von 100 Punkten im Jahr 2017 nur knapp über der Marke von 50 Punkten. Weitere Sub-Scores wie z. B. der für den Aufnahmeprozess lagen mit 44 Punkten sogar darunter. Dieses Ergebnis zeigt, dass es ein großes Potenzial zur Verbesserung gibt, das ausgeschöpft werden muss, soll Digitalisierung ihren Effekt der Vernetzung, Transparenz, Datenanalytik und Wissensgenerierung entfalten.
Despite similar policy goals, the adoption of eHealth practices took different paths in Austria (AT), Switzerland (CH), and Germany (GER). We seek to provide a rigorous analysis of the current state of hospitals by focusing on three key eHealth areas: electronic patient records (EPR), health information exchange (HIE), electronic patient communication. For validation and in order to gain better contextual insight we applied a mixed method approach by combining survey results from clinical directors with qualitative interview data from eHealth experts of all three countries. Across countries, EPR adoption rates were reported highest (AT: 52%, CH: 78%, GER: 50%), HIE-rates were partly lower (AT: 52%, CH: 14%, GER: 17%), and electronic patient communication was reported lowest overall (AT: 17%, CH: 8%, GER: 19%). Amongst others, results indicate patient awareness about eHealth to be equally weak across countries, which thus may be an important focal point of future policy initiatives.
Use of Emergency Departments by Frail Elderly Patients : Temporal Patterns and Case Complexity
(2019)
Emergency department (ED) care for frail elderly patients is associated with an increased use of resources due to their complex medical needs and frequently difficult psycho-social situation. To better target their needs with specially trained staff, it is vital to determine the times during which these particular patients present to the ED. Recent research was inconclusive regarding this question and the applied methods were limited to coarse time windows. Moreover, there is little research on time variation of frail ED patients’ case complexity. This study examines differences in arrival rates for frail vs. non-frail patients in detail and compares case complexity in frail patients within vs. outside of regular GP working hours. Arrival times and case variables (admission rate, ED length of stay [LOS], triage level and comorbidities) were extracted from the EHR of an ED in an urban German teaching hospital. We employed Poisson time series regression to determine patterns in hourly arrival rates over the week. Frail elderly patients presented more likely to the ED during already high frequented hours, especially at midday and in the afternoon. Case complexity for frail patients was significantly higher compared to non-frail patients, but varied marginally in time only with respect to triage level and ED LOS. The results suggest that frailty-attuned emergency care should be available in EDs during the busiest hours. Based on EHR data, hospitals thus can tailor their staff needs.
Radiology has a reputation for having a high affinity to innovation – particularly with regard to information technologies. Designed for supporting the peculiarities of radiological diagnostic workflows, Radiology Information Systems (RIS) and Picture Archiving and Communication Systems (PACS) developed into widely used information systems in hospitals and form the basis for advancing the field towards automated image diagnostics. RIS and PACS can thus serve as meaningful indicators of how quickly IT innovations diffuse in secondary care settings – an issue that requires increased attention in research and health policy in the light of increasingly fast innovation cycles. We therefore conducted a retrospective longitudinal observational study to research the diffusion dynamics of RIS and PACS in German hospitals between 2005 and 2017. Based upon data points collected within the “IT Report Healthcare” and building on Rogers’ Diffusion of Innovation (DOI) theory, we applied a novel methodological technique by fitting Bayesian Bass Diffusion Models on past adoption rates. The Bass models showed acceptable goodness of fit to the data and the results indicated similar growth rates of RIS and PACS implementations and suggest that market saturation is almost reached. Adoption rates of PACS showed a slightly higher coefficient of imitation (q = 0.25) compared to RIS (q = 0.11). However, the diffusion process expands over approximately two decades for both systems which points at the need for further research into how innovation diffusion can be accelerated effectively. Furthermore, the Bayesian approach to Bass modelling showed to have several advantages over the classical frequentists approaches and should encourage adoption and diffusion research to adapt similar techniques.
This paper describes the methodology and developments towards the TIGER International Recommendation Framework of Core Competencies in Health Informatics 2.0. This Framework is meant to augment the scope from nursing towards a series of six other professional roles, i.e. direct patient care, health information management, executives, chief information officers, engineers and health IT specialists and researchers and educators. Health informatics core competency areas were compiled from various sources that had integrated the literature and were grouped into consistent clusters. The relevance of these core competency areas was rated in a survey by 718 professional experts from 51 countries. Furthermore, 22 local case studies illustrated the competencies and gave insight into examples of local educational practice. The Framework contributes to the overall discourse on how to shape health informatics education to improve quality and safety of care by enabling useful and successful health information systems.
Personal health records (PHR) are instruments to compile, store and present health and wellness related data digitally with proven effects on self-management of diseases. The aim of this study was to investigate whether there were differences in the intention to use (ITU) and perceived usefulness (PU) of two technologies allowing users to access the PHR, i.e. a kiosk system and a smart phone based app (access as usual). The study also aimed at modelling ITU and PU with multiple linear regressions. A total of 46 subject participated in the study who were randomly assigned to one of the two experimental groups (nkiosk = 22; napp = 24). The task for both groups was to digitise their “Medikationsplan” (medical record) and upload it to the PHR. There was no significant difference in ITU and PU between the two technologies. ITU could only be significantly explained by PU (R2 = .55, p < 0.001), while PU was determined by perceived ease of use and psychological factors (R2 = .64, p < 0.001). Severity of disease did not play any significant role. The German “Terminservice- und Versorgungsgesetz” underpins the importance and timeliness of this study. The assumption that both – the publicly accessible kiosk and the app – are equally acceptable for people of different gender, age and technology background demonstrates the opportunity to master a potential digital divide among the population and allows users to get access to their PHR in multiple ways.
Elektronisch unterstützte transsektorale Kommunikation im Gesundheitswesen ist eine der essentiellen Säulen von eHealth. Sie ist eine menschliche Handlung, die eine Verbesserung der Versorgung Einzelner und ganzer Bevölkerungsgruppen bewirken soll. Ethik bewertet menschliches Handeln in Bezug auf dessen Auswirkungen und die ihm zugrunde liegenden Werte und Normen. Dabei werden die Auswirkungen auf Individuen und Allgemeinheiten betrachtet. Im Gesundheits- und Sozialwesen gelten die Prinzipien der Autonomie, der Schadensverhütung, der Fürsorge und der Gerechtigkeit als Maßstäbe. Es gilt also die Fragen herauszuarbeiten, die an elektronische transsektorale Kommunikation aus ethischer Sicht gestellt werden müssen, um zu untersuchen, ob sie innerhalb der genannten Prinzipien ethischen Anforderungen genügt.
Aus den Ergebnissen einer systematischen Literaturrecherche wurden zunächst allgemein Aussagen zum Thema Information und Technologie im Zusammenhang mit Ethik extrahiert, und daraufhin geprüft, auf welche Fragen sie Antworten anbieten. Diese wurden innerhalb der genannten fünf Prinzipien als Fragen an elektronische transsektorale Kommunikation formuliert.
Aus den Aussagen der Literatur ließen sich sieben Fragen ableiten und den ethischen Prinzipien zuordnen, um mit ihnen elektronische transsektorale Kommunikation zu untersuchen. Auf diese Weise kann geprüft werden ob diese in der Lage sind, das Wohl Einzelner wie auch von Gemeinschaften im Gesundheitswesen zu fördern, wovon Betroffene, Professionelle und das Gesundheitssystem insgesamt profitieren könnten.
Going Mobile : An Empirical Model for Explaining Successful Information Logistics in Ward Rounds
(2018)
Background: Medical ward rounds are critical focal points of inpatient care that call for uniquely flexible solutions to provide clinical information at the bedside. While this fact is undoubted, adoption rates of mobile IT solutions remain rather low.
Objectives: Our goal was to investigate if and how mobile IT solutions influence successful information provision at the bedside, i.e. clinical information logistics, as well as to shed light at socio-organizational factors that facilitate adoption rates from a user-centered perspective.
Methods: Survey data were collected from 373 medical and nursing directors of German, Austrian and Swiss hospitals and analyzed using variance-based Structural Equation Modelling (SEM).
Results: The adoption of mobile IT solutions explains large portions of clinical information logistics and is in itself associated with an organizational culture of innovation and end user participation.
Conclusion: Results should encourage decision makers to understand mobility as a core constituent of information logistics and thus to promote close end-user participation as well as to work towards building a culture of innovation.
Current frameworks postulate the success of health IT innovations to be determined by the professionalism of the information management (PIM). Still, empirical knowledge about PIM is scarce up until today. This study seeks to answer three research questions: (1.) How can PIM be measured in a reliable and valid way, (2.) how pronounced is PIM in German hospitals and (3.) do hospital characteristics have an impact on the degree of PIM? Based on the results of an expert workshop and frameworks for information management (IM) items for a PIM inventory were developed and the inventory sent to 1349 chief information officers of German hospitals. A principle component analysis based on the responses of 196 hospitals confirmed the three components that had been proposed by the frameworks: the strategic, the tactical and the operational level. The full inventory implied satisfying reliability and allowed a PIM composite-score to be calculated. The PIM scores for strategic and tactical IM were found to be far lower than for operational IM which hints at strong deficits in these areas. A stepwise regression model indicated that the degree of PIM significantly increased with the size of the hospital, which had been expected and hints the validity of the PIM inventory. This tool offers potentials for hospitals to classify and improve their IM.
Frequent users of emergency departments (ED) pose a significant challenge to hospital emergency services. Despite a wealth of studies in this field, it is hardly understood, what medical conditions lead to frequent attendance. We examine (1) what ambulatory care sensitive conditions (ACSC) are linked to frequent use, (2) how frequent users can be clustered into subgroups with respect to their diagnoses, acuity and admittance, and (3) whether frequent use is related to higher acuity or admission rate. We identified several ACSC that highly increase the risk for heavy ED use, extracted four major diagnose subgroups and found no significant effect neither for acuity nor admission rate. Our study indicates that especially patients in need of (nursing) care form subgroups of frequent users, which implies that quality of care services might be crucial for tackling frequent use. Hospitals are advised to regularly analyze their ED data in the EHR to better align resources.
This prospective longitudinal study aims at better understanding eHealth success factors in different European nations, esp. the role of eHealth-legislation in Switzerland and Germany. Qualitative interviews with 39 matched experts from a large variety of institutions in both nations were conducted. The individual statements in the interviews and the overall satisfaction rating indicate a clear trend for a more optimistic attitude towards the law in Switzerland than in Germany. This result is not surprising given the history of a telematics infrastructure in Germany. Cross-country learning topics for German politicians are the inclusion of the inpatient sector and the focus on one major application. In a next step, interview results from Austria will be included and with that the scope of study findings enriched.
The establishment of successful clinical information logistics (CIL) within the care processes is one of the main objectives of strategic health IT management in hospitals. While technical realisations in terms of useful, usable and interoperable IT solutions are essential precursors of CIL, there is limited empirical research on what socio-organisational factors underlie an innovation-friendly culture and how they can affect successful information provision. We applied factor analysis on survey data from 403 clinical directors from Germany, Austria and Switzerland and used the dimensions identified to explain the level of CIL with ordered logistic regression analysis. The intensity of collaboration and exchange with the IT department as well as the degree of executive IT leadership showed to be strongly associated with better CIL while personal views and attitudes of clinical directors were not. Analysing country differences revealed the degree of the exchange with the IT department to be significantly lower in German hospitals. This points at a potential strategic lever for German hospital executives to focus on.
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.
The workflow-oriented dissemination of electronic patient data is a central goal of IT deployment in hospitals. Against this background, the present study examines two research questions: (1.) Are there differences in the availability of electronic patient data (AEPD) between different clinical workflows and data types and (2.) which structural and organizational factors determine AEPD? Based on a Germany wide hospital survey, AEPD was assessed along six clinical workflows. While AEPD was lowest for ward rounds, discharge showed the highest AEPD with pre- and post-surgery processes ranging in between. With regard to the data types analyzed, patient demographics and observation findings obtained the highest AEPD scores. Electrophysiological results, checklists and warnings were less common electronically and received lower AEPD scores. Multiple linear regression analysis resulted in a significant model that explained 34.4% of the variance of AEPD. Large hospitals and those with a professional information management, a high health IT related innovation culture and a nursing informatics officer possess higher AEPD scores and thus have better clinical information logistics mechanisms at their command.
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.
Das Informationsmanagement steht im Zentrum erfolgreicher eHealth-Innovationsprozesse von Krankenhäusern. Im Kontext komplexer, zum Teil tradierter Krankenhausstrukturen kann die Gestaltungsfähigkeit des Informationsmanagements durch eine ausgeprägte Intrapreneurship-Kultur erhöht werden, wovon vermutlich auch der Digitalisierungsgrad der Einrichtungen profitiert. Vor diesem Hintergrund verfolgte die vorliegende Studie zwei Forschungsfragen: (1.) Welche Effekte hat Intrapreneurship auf den Digitalisierungsgrad der Krankenhäuser und (2.) inwiefern werden diese Effekte durch das Informationsmanagement beeinflusst? Zur Beantwortung der Forschungsfragen wurde ein konzeptionelles Untersuchungsmodell entwickelt, welches mit Daten von 224 IT-Leitern evaluiert wurde. Die Ergebnisse bestätigen, dass Intrapreneurship die Umsetzung von eHealth-Anwendungen positiv beeinflussen kann. Die identifizierten Effekte waren jedoch vorwiegend indirekter Art, vermittelt durch den Professionalisierungsgrad des Informationsmanagements. So kann Intrapreneurship auf IT-Leiter-Ebene und auf Ebene der Gesamtorganisation zu einer Professionalisierung des strategischen Informationsmanagements führen. Auf Ebene der IT-Abteilung profitiert vor allem das operative Informationsmanagement von einer ausgeprägten Intrapreneurship-Kultur.
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.
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.
Teachers in health informatics have a broad variety of international and national educational recommendations to rely on when designing programmes, curricula, courses and educational material. However, in addition they often need very specific information for their setting, blue-prints, hands-on experience and encouragement to try something new. This workshop presents three case studies from European universities who have implemented inter-professional, technology enabled health informatics courses in undergraduate, postgraduate and open university settings. These approaches will be put into the context of the TIGER recommendation framework that includes priority ratings of health informatics competencies and case studies to illustrate them. The workshop attendees will have ample opportunity to exchange ideas with the presenters and start a mutual learning process for health informatics teachers.