2,317 research outputs found

    Interactivity in professional online learning: A review of research based studies

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    Over the last few years, the higher education and the vocational education and training sectors have increased the number of online learning courses available for professionals. Yet, research on e-learning opportunities for professionals has not developed at the same pace. This paper describes the results of a systematic search for research based, empirical studies on professional online learning that examined interactivity and other forms of social learning. Based on four selection criteria (online learning course, professionals, interactivity and research study), the search yielded 18 articles. These were examined first in relation to the characteristics and context of the professional online courses under scrutiny, and second in relation to four levels of interactivity focus in the research. The highest level represents studies where the interactivity was planned, supported and implemented successfully, and the lowest level studies where minimal opportunities for interactivity were available. Overall, although some studies were of a high academic and educational quality, there was little evidence of pedagogical innovations that would give this field of educational research and practice a clear direction for the future

    Evaluation of the First Year(s) of Physicians Collaboration on an Interdisciplinary Electronic Consultation Platform in the Netherlands:Mixed Methods Observational Study

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    BACKGROUND: Complexity of health problems and aging of the population create an ongoing burden on the health care system with the general practitioner (GP) being the gatekeeper in primary care. In GPs daily practice, collaboration with specialists and exchange of knowledge from the secondary care play a crucial role in this system. Communication between primary and secondary care has shortcomings for health care workers that want to practice sustainable patient-centered health care. Therefore, a new digital interactive platform was developed: Prisma. OBJECTIVE: This study aims to describe the development of a digital consultation platform (Prisma) to connect GPs with hospital specialists via the Siilo application and to evaluate the first year of use, including consultations, topic diversity, and number of participating physicians. METHODS: We conducted a mixed methods observational study, analyzing qualitative and quantitative data for cases posted on the platform between June 2018 and May 2020. Any GP can post questions to an interdisciplinary group of secondary care specialists, with the platform designed to facilitate discussion and knowledge exchange for all users. RESULTS: In total, 3674 cases were posted by 424 GPs across 16 specialisms. Most questions and answers concerned diagnosis, nonmedical treatment, and medication. Mean response time was 76 minutes (range 44-252). An average of 3 users engaged with each case (up to 7 specialists). Almost half of the internal medicine cases received responses from at least two specialisms in secondary care, contrasting with about one-fifth for dermatology. Of note, the growth in consultations was steepest for dermatology. CONCLUSIONS: Digital consultations offer the possibility for GPs to receive quick responses when seeking advice. The interdisciplinary approach of Prisma creates opportunities for digital patient-centered networking

    Making Medical Visual Information Available on the WEB

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    This paper presents a new metadata model to describe and retrieve medical visual information, such images and their diagnoses, using the Web. The classes of this model allow describing medical images of different medical areas, including their properties, components and relationships. This model supports the international classification of diseases and related health problems (i.e. ICD-10) [1]. The MedISeek (Medical Image Seek) prototype presented here proposes a medical image sharing system based on web services, that allows authorized users to describe, store and retrieve medical images and their associated diagnostic information,based on the proposed metadata model. Thus, this paper proposes to include the image description, converted to RDF syntax, into a JPEG image and a persistent structure for relational databases to storage and retrieve this metadata, providing fast indexing and querying. A description of the prototype structure also is provided
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