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Bei der Umsetzung der digitalen Transformation bewegt sich das ITManagement in Krankenhäusern in einem Spannungsfeld aus historischkulturellen Vorbedingungen und den besonderen Herausforderungen wissensintensiver Expertenorganisation. Um zu untersuchen, wie professionell das ITManagement vor diesem Hintergrund ist, wurde in der vorliegenden Studie der Professionalisierungsgrad des IT-Managements als Beschreibungsgröße vorgeschlagen. Darüber hinaus wurden Ausprägungen der IT-Governance und des IT-Entrepreneurships als mögliche Determinanten des Professionalisierungsgrades konzeptionalisiert. Ein entsprechend aufgestelltes, hypothesengeleitetes Untersuchungsmodell wurde anhand der Daten von 164 CIOs deutscher Krankenhäuser überprüft. Die Ergebnisse der Studie deuten auf Professionalisierungspotenziale des IT-Managements im strategischen und evaluierenden Bereich hin. Etablierte Kommunikationskanäle zwischen CIO und Krankenhausleitung sowie eine ausgewiesene IT-Budgetverantwortungen wirkten sich positiv auf den Professionalisierungsgrad aus. Zudem Das agierte das ITManagement umso professioneller, je stärker der IT-Entrepreneurship auf organisatorischer und individueller Ebene ausgeprägt war. Die Ergebnisse können den theoretischen Erkenntnisstand über die Wirkungsweise von IT-Governance und IT-Entrepreneurship erweitern und auf ähnliche, wissensintensive Expertenorganisationen übertragen werden.
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.
Das Thema Digitalisierung ist in aller Munde – gerade auch im Bereich Krankenhaus. Allerdings noch nicht zuverlässig und im großen Stile valuiert sind die Fragen: Wie digitalisiert ist die Gesamtheit der deutschen Krankenhäuser tatsächlich? Wie entwickelt sich der Digitalisierungsgrad über die Zeit und im Vergleich zu anderen Nationen? Welchen Maßstab sollte man anlegen? Die Autoren stellen im folgenden Artikel ihren Ansatz für eine bundesweite Erfassung der Krankenhausdigitalisierung vor. Im Ergebnis weisen die betrachteten Krankenhäuser deutliche Optimierungspotenziale auf. Diese reichen von der mobilen Verfügbarkeit elektronischer Patientendaten und IT-Funktionen bis hinzu Fragen der Integration und Interoperabilität der im Einsatz befindlichen Systeme.
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.
Objectives: eHealth and innovation are often regarded as synonyms - not least because eHealth technologies and applications are new to their users. This position paper challenges this view and aims at exploring the nature of eHealth innovation against the background of common definitions of innovation and facts from the biomedical and health informatics literature. A good understanding of what constitutes innovative eHealth developments allows the degree of innovation to be measured and interpreted.
Methods: To this end, relevant biomedical and health informatics literature was searched mainly in Medline and ACM digital library. This paper presents seven facts about implementing and applying new eHealth developments hereby drawing on the experience published in the literature.
Results: The facts are: 1. eHealth innovation is relative. 2. Advanced clinical practice is the yardstick. 3. Only used and usable eHealth technology can give birth to eHealth innovatio. 4. One new single eHealth function does not make a complex eHealth innovation. 5. eHealth innovation is more evolution than revolution. 6. eHealth innovation is often triggered behind the scenes; and 7. There is no eHealth innovation without sociocultural change.
Conclusions: The main conclusion of the seven facts is that eHealth innovations have many ingredients: newness, availability, advanced clinical practice with proven outcomes, use and usability, the supporting environment, other context factors and the stakeholder perspectives. Measuring eHealth innovation is thus a complex matter. To this end we propose the development of a composite score that expresses comprehensively the nature of eHealth innovation and that breaks down its complexity into the three dimensions: i) eHealth adoption, ii) partnership with advanced clinical practice, and iii) use and usability of eHealth. In order to better understand the momentum and mechanisms behind eHealth innovation the fourth dimension, iv) eHealth supporting services and means, needs to be studied. Conceptualising appropriate measurement instruments also requires eHealth innovation to be distinguished from eHealth sophistication, performance and quality, although innovation is intertwined with these concepts. The demanding effort for defining eHealth innovation and measuring it properly seem worthwhile and promise advances in creating better systems. This paper thus intends to stimulate the necessary discussion.
Der zunehmende Einsatz von Informations- und Kommunikationstechnologie im Gesundheitswesen verlangt auch von Angehörigen der Pflegeberufe Kompetenzen zur Nutzung der entsprechenden Systeme und Verfahren. Vor diesem Hintergrund haben sich die AG „Informationsverarbeitung in der Pflege“ der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), die Österreichische Gesellschaft für Pflegeinformatik (ÖGPI) und die Schweizerische Interessensgruppe Pflegeinformatik (IGPI) innerhalb des Schweizer Berufsverband der Pflegefachfrauen und Pflegefachmänner (SBK) entschlossen, gemeinsame Empfehlungen für benötigte Kernkompetenzfelder in Pflegeinformatik zu erarbeiten. Auf Basis einer iterativen multimethodischen Vorgehensweise unter Einbeziehung von einer großen Anzahl von Fachexperten aus Deutschland, Österreich und der Schweiz (D-A-CH) wurden 24 notwendige Felder von Kernkompetenzen definiert und deren Relevanz für fünf typische Berufsfelder in der Pflege bewertet. Damit liegt erstmalig eine wissenschaftlich fundierte Empfehlung für zu vermittelnde Kernkompetenzfelder in der Pflegeinformatik für verschiedene pflegerische Berufsfelder vor. Sie richtet sich an alle Personen mit Verantwortung für die Planung von Studium, Lehre, Aus- und Weiterbildung in der Pflege.
Versorgungskontinuität durch Information : Evaluation des HL7-Standards für den ePflegebericht
(2013)
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.
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.
Background and purpose:
Clinical information logistics is a construct that aims to describe and explain various phenomena of information provision to drive clinical processes. It can be measured by the workflow composite score, an aggregated indicator of the degree of IT support in clinical processes. This study primarily aimed to investigate the yet unknown empirical patterns constituting this construct. The second goal was to derive a data-driven weighting scheme for the constituents of the workflow composite score and to contrast this scheme with a literature based, top-down procedure. This approach should finally test the validity and robustness of the workflow composite score.
Methods:
Based on secondary data from 183 German hospitals, a tiered factor analytic approach (confirmatory and subsequent exploratory factor analysis) was pursued. A weighting scheme, which was based on factor loadings obtained in the analyses, was put into practice.
Results:
We were able to identify five statistically significant factors of clinical information logistics that accounted for 63% of the overall variance. These factors were “flow of data and information”, “mobility”, “clinical decision support and patient safety”, “electronic patient record” and “integration and distribution”. The system of weights derived from the factor loadings resulted in values for the workflow composite score that differed only slightly from the score values that had been previously published based on a top-down approach.
Conclusion:
Our findings give insight into the internal composition of clinical information logistics both in terms of factors and weights. They also allowed us to propose a coherent model of clinical information logistics from a technical perspective that joins empirical findings with theoretical knowledge. Despite the new scheme of weights applied to the calculation of the workflow composite score, the score behaved robustly, which is yet another hint of its validity and therefore its usefulness.
The article describes an analysis of the use of e-learning to improve the learning transfer to practice in continuing education. Therefore an e-learning offer has been developed as a part between two attendance periods of a training course in the field of Ambient Assisted Living (AAL). All participants of the course were free to use the e-learning offer. After the end of the e-learning part we compared the e-learning users to the other participants. Using an online questionnaire we explored if there are differences in the activities in the field AAL after the training course. The results show that e-learning is beneficial especially for communication processes. Due to the fact that the possibility to talk about the learning content is an essential factor for the learning transfer, e-learning can improve the learning success.
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.
This workshop will review the history of the TIGER initiative in order to set the framework for an understanding of international informatics competencies. We will include a description of clinical nursing informatics programs in 37 countries as well as the results of a recent survey of nursing competencies in order to further discussions of internationally agreed-upon competency definitions. These two surveys will provide the basis for developing a consensus regarding the integration of core competencies into informatics curriculum developments. Expected outcomes include building consensus on core competencies and developing plans toward implementing intra- and inter-professional informatics competencies across disciplines globally.
Informatics competencies of the health care workforce must meet the requirements of inter-professional process and outcome oriented provision of care. In order to help nursing education transform accordingly, the TIGER Initiative deployed an international survey, with participation from 21 countries, to evaluate and prioritise a broad list of core competencies for nurses in five domains: 1) nursing management, 2) information technology (IT) management in nursing, 3) interprofessional coordination of care, 4) quality management, and 5) clinical nursing. Informatics core competencies were found highly important for all domains. In addition, this project compiled eight national cases studies from Austria, Finland, Germany, Ireland, New Zealand, the Philippines, Portugal, and Switzerland that reflected the country specific perspective. These findings will lead us to an international framework of informatics recommendations.
Information Technology (IT) continues to evolve and develop with electronic devices and systems becoming integral to healthcare in every country. This has led to an urgent need for all professions working in healthcare to be knowledgeable and skilled in informatics. The Technology Informatics Guiding Education Reform (TIGER) Initiative was established in 2006 in the United States to develop key areas of informatics in nursing. One of these was to integrate informatics competencies into nursing curricula and life-long learning. In 2009, TIGER developed an informatics competency framework which outlines numerous IT competencies required for professional practice and this work helped increase the emphasis of informatics in nursing education standards in the United States. In 2012, TIGER expanded to the international community to help synthesise informatics competencies for nurses and pool educational resources in health IT. This transition led to a new interprofessional, interdisciplinary approach, as health informatics education needs to expand to other clinical fields and beyond.
In tandem, a European Union (EU) - United States (US) Collaboration on eHealth began a strand of work which focuses on developing the IT skills of the health workforce to ensure technology can be adopted and applied in healthcare. One initiative within this is the EU*US eHealth Work Project, which started in 2016 and is mapping the current structure and gaps in health IT skills and training needs globally. It aims to increase educational opportunities by developing a model for open and scalable access to eHealth training programmes. With this renewed initiative to incorporate informatics into the education and training of nurses and other health professionals globally, it is time for educators, researchers, practitioners and policy makers to join in and ROAR with TIGER.
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.
The TIGER Initiative
(2016)
Continuity of care is a concept that is defined as the uninterrupted and coordinated care provided to a patient and that includes an informational dimension which describes the information exchange between the parties involved. In nursing, the nursing summary is the main instrument to ensure informational continuity of care. The aim of this paper is to present an HL7 Clinical Document Architecture based document standard for the eNursing Summary and to discuss the need for harmonizing these results at international level. The eNursing Summary proposed in this paper was developed on the basis of several internationally accepted concepts, primarily the nursing process, the ISO 18104 Reference Terminology Model for Nursing and various data sets. The standardisation process embraced several phases of involving nursing experts for validating its structure and content. It was finally evaluated by a network of 100 healthcare organizations. We argue that the eNursing Summary is a good starting point for standardising nursing discharge and transfer documents on a global level. However, further work is needed to bring together the different national and international strands in standardisation.
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.
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.
Innovations are typically characterised by their relative newness for the user. In order for new eHealth applications to be accepted as innovations more criteria were proposed including “use” and “usability”. The handoverEHR is a new approach that allows the user to translate the essentials of a clinical case into a graphical representation, the so-called cognitive map of the patient. This study aimed at testing the software usability. A convenience sample of 23 experienced nurses from different healthcare organisations across the country rated the usability of the handoverEHR after performing typical handover tasks. All usability scales of the IsoMetricsL questionnaire showed positive values (4 “I agree”) with the exception of “error tolerance” (3 “neutral statement”). A significant improvement was found in self-descriptiveness as compared to an initial usability testing prior to this study. Different subgroups of users tended to rate the usability of the system differently. This study demonstrated the benefits of formative evaluations in terms of improving the usability of an entirely new approach. It thus helps to transform a novel piece of software towards becoming a real innovation. Our findings also hint at the importance of user characteristics that could affect the usability ratings.
Telepflege
(2017)
Telepflege ist eine Anwendung von Informations- und Kommunikationstechnologie im Gesundheitswesen, die Pflegekräfte mit Vertretern der eigenen Berufsgruppe oder anderer Berufsgruppen sowie mit Patienten und ihren Angehörigen insbesondere über räumliche Grenzen hinweg in Verbindung treten lässt. Ziel der Telepflege ist es, Menschen in das eigene professionelle Handeln einzubeziehen, die anderweitig nicht erreichbar sind. Häufig werden dabei nicht nur textliche Nachrichten übermittelt, sondern auch Bilder (z. B. Fotos einer Wunde), Signale (z. B. EKG) oder Vitalwerte (z. B. Körpergewicht). In seiner einfachsten Form ist das Hausnotrufsystem eine Realisierung von Telepflege. Komplexere Formen stellen beispielsweise eine über ein Videokonferenzsystem ermöglichte Fallbesprechung unterschiedlicher Berufsgruppen an unterschiedlichen Standorten dar oder eine Videoverbindung zwischen Pflegekraft und Patient (Telekonsultation). Eine weitere Form von Telepflege bietet die Vitalwertüberwachung von Risikopatienten (Telemonitoring). Die Entwicklung des Internets der Dinge wird weitere Anwendungsfälle bereitstellen. Telepflege ist ein Instrument, das den persönlichen Kontakt nicht ersetzt, sondern den eigenen Handlungsradius erweitert. Aus diesem Grund wird Telepflege in ländlichen Gebieten mit unzureichender Gesundheitsversorgung erfolgreich zum Einsatz gebracht.
Background: While health informatics recommendations on competencies and education serve as highly desirable corridors for designing curricula and courses, they cannot show how the content should be situated in a specific and local context. Therefore, global and local perspectives need to be reconciled in a common framework.
Objectives: The primary aim of this study is therefore to empirically define and validate a framework of globally accepted core competency areas in health informatics and to enrich this framework with exemplar information derived from local educational settings.
Methods: To this end, (i) a survey was deployed and yielded insights from 43 nursing experts from 21 countries worldwide to measure the relevance of the core competency areas, (ii) a workshop at the International Nursing Informatics Conference (NI2016) held in June 2016 to provide information about the validation and clustering of these areas and (iii) exemplar case studies were compiled to match these findings with the practice. The survey was designed based on a comprehensive compilation of competencies from the international literature in medical and health informatics.
Results: The resulting recommendation framework consists of 24 core competency areas in health informatics defined for five major nursing roles. These areas were clustered in the domains “data, information, knowledge”, “information exchange and information sharing”, “ethical and legal issues”, “systems life cycle management”, “management” and “biostatistics and medical technology”, all of which showed high reliability values. The core competency areas were ranked by relevance and validated by a different group of experts. Exemplar case studies from Brazil, Germany, New Zealand, Taiwan/China, United Kingdom (Scotland) and the United States of America expanded on the competencies described in the core competency areas.
Conclusions: This international recommendation framework for competencies in health informatics directed at nurses provides a grid of knowledge for teachers and learner alike that is instantiated with knowledge about informatics competencies, professional roles, priorities and practical, local experience. It also provides a methodology for developing frameworks for other professions/disciplines. Finally, this framework lays the foundation of cross-country learning in health informatics education for nurses and other health professionals.
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.
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.
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.
Hochschule und Universität Osnabrück haben mit regionalen Partnern (Stadt, Landkreis, Bistum, evangelisch-lutherischem Kirchenkreis, Kompetenzzentrum Gesundheitswirtschaft) die Grundsatzvereinbarung unterzeichnet, in Osnabrück einen Gesundheitscampus zu etablieren. Das Ziel ist, einen Ort zu schaffen, an dem Wissenschaft, Unternehmen der Gesundheitsversorgung, Träger von Gesundheitseinrichtungen und Politik zusammenkommen, um innovative Versorgungskonzepte für die Region zu erproben. „ROSE – das Lernende Gesundheitssystem in der Region Osnabrück-Emsland“ ist ein Großprojekt im Rahmen des Gesundheitscampus Osnabrück, das von dem Niedersächsischen Ministerium für Wissenschaft und Kultur (MWK) über 5 Jahre gefördert wird. Dabei wird das Prinzip des Lernens durch Feedback angewendet. Das bedeutet, dass durch Forschung in und mit der Praxis Evidenz im Sinne von practice-based evidence erzeugt wird, d.h. Evidenz für eine bessere Versorgungspraxis unter Berücksichtigung städtischer und ländlicher Strukturen. Dies hat zur Konsequenz, dass der Transferprozess zwischen Hochschule und Versorgungspraxis nicht am Ende sondern bereits am Anfang steht. Mit dem Ansatz einer wiederkehrenden Abfolge von Forschungsfragen und Analysen von Daten aus der Versorgungspraxis rekurriert ROSE auf das Prinzip des „Learning Health Care System“ (IOM, 2007). Im Rahmen von ROSE stimmen sich Hochschule und Universität Osnabrück ab, um die Ziele des Gesundheitscampus zu erreichen. Die geplante Umsetzung wird anhand eines Modells mit fünf Maßnahmen vorgestellt. Diese bauen auf der Vielfalt von bereits bestehenden Gesundheitsstudiengängen in Osnabrück auf und bringen Forschung, Nachwuchsförderung und Translation von Forschungsergebnissen zusammen.
Restricted Versus Unrestricted Search Space : Experience from Mining a Large Japanese Database
(2015)
The aim of this study was to investigate whether standard Big Data mining methods lead to clinically useful results. An association analysis was performed using the apriori algorithm to discover associations among co-morbidities of diabetes patients. Selected data were further analyzed by using k-means clustering with age, long-term blood sugar and cholesterol values. The association analysis led to a multitude of trivial rules. Cluster analysis detected clusters of well and badly managed diabetes patients both belonging to different age groups. The study suggests the usage of cluster analysis on a restricted space to come to meaningful results.
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.
Requirements Engineering für Referenzmodelle mittels eines multimethodischen Vorgehensmodells
(2012)
Obwohl es zahlreiche Arbeiten zum Requirements Engineering im Allgemeinen gibt, ist über die Ermittlung generischer und innovativer Anforderungen, wie sie in intersektoralen Informations-ketten eine Rolle spielen, wenig bekannt. Das Projekt IKM health zielt auf die Entwicklung von Referenzmodellen für Informationsketten zur Patientenversorgung ab. Forschungsfrage dieser Studie war, wie Informations- und Prozessanforderungen generiert werden können. Vor diesem Hintergrund wurde mit der Analyse von Leitlinien begonnen, deren Empfehlungen anschließend im Rahmen von Delphi-Befragungen und Experteninterviews zur Diskussion gestellt wurden. Trotz der sich zeigenden Heterogenität war es mit Hilfe des hier vorgestellten multimethodischen Vorgehensmodells möglich, passende Anforderungen zu erzielen und in UML zu modellieren.
Despite the wealth of literature on requirements engineering, little is known about engineering very generic, innovative and emerging requirements, such as those for cross-sectional information chains. The IKM health project aims at building information chain reference models for the care of patients with chronic wounds, cancer-related pain and back pain. Our question therefore was how to appropriately capture information and process requirements that are both generally applicable and practically useful. To this end, we started with recommendations from clinical guidelines and put them up for discussion in Delphi surveys and expert interviews. Despite the heterogeneity we encountered in all three methods, it was possible to obtain requirements suitable for building reference models. We evaluated three modelling languages and then chose to write the models in UML (class and activity diagrams). On the basis of the current project results, the pros and cons of our approach are discussed.
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.
Background: For more than 30 years, there has been close cooperation between Japanese and German scientists with regard to information systems in health care. Collaboration has been formalized by an agreement between the respective scientific associations. Following this agreement, two joint workshops took place to explore the similarities and differences of electronic health record systems (EHRS) against the background of the two national healthcare systems that share many commonalities.
Objectives: To establish a framework and requirements for the quality of EHRS that may also serve as a basis for comparing different EHRS.
Methods: Donabedian's three dimensions of quality of medical care were adapted to the outcome, process, and structural quality of EHRS and their management. These quality dimensions were proposed before the first workshop of EHRS experts and enriched during the discussions.
Results: The Quality Requirements Framework of EHRS (QRF-EHRS) was defined and complemented by requirements for high quality EHRS. The framework integrates three quality dimensions (outcome, process, and structural quality), three layers of information systems (processes and data, applications, and physical tools) and three dimensions of information management (strategic, tactical, and operational information management).
Conclusions: Describing and comparing the quality of EHRS is in fact a multidimensional problem as given by the QRF-EHRS framework. This framework will be utilized to compare Japanese and German EHRS, notably those that were presented at the second workshop.
Background
Against the background of a steadily increasing degree of digitalization in health care, a professional information management (IM) is required to successfully plan, implement, and evaluate information technology (IT). At its core, IM has to ensure a high quality of health data and health information systems to support patient care.
Objectives
The goal of the present study was to define what constitutes professional IM as a construct as well as to propose a reliable and valid measurement instrument.
Methods
To develop and validate the construct of professionalism of information management (PIM) and itsmeasurement, a stepwise approach followed an established procedure from information systems and behavioral research. The procedure included an analysis of the pertaining literature and expert rounds on the construct and the
instrument, two consecutive and comprehensive surveys at the national and international level, exploratory and confirmatory factor analyses as well as reliability and validity testing.
Results
Professionalism of information management was developed as a construct consisting of the three dimensions of strategic, tactical, and operational IMas well as of the regularity and cyclical phases of IM procedures as the two elements of professionalism.
The PIM instrument operationalized the construct providing items that incorporated IM procedures along the three dimensions and cyclical phases. These procedures had to be evaluated against their degree of regularity in the instrument. The instrument proved to be reliable and valid in two consecutive measurement phases
and across three countries.
Conclusion
It can be concluded that professionalism of information management is a meaningful construct that can be operationalized in a scientifically rigorous manner. Both science and practice can benefit from these developments in terms of improved self-assessment, benchmarking capabilities, and eventually, obtaining a better understanding of health IT maturity.
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.
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.