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Technische Universit Dresden

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72 Papers

Implications and Perceptions of Digital Health Technologies: A Multiple Case Study on the Payers’ Viewpoint

Topics: Which emerging business models in digital health are promising?; What needs to change in terms of regulations to make digital health successful?; What is the future role of a health insurance company?; Are you offering DHTs? Did you develop these DHTs yourself or are you partnering with startups or other companies?; For which diseases do you think we need DHTs most? Why? Where do you think DHTs will work best? (what kind of disease and persona); What kind of learnings did you generate so far? Are there DHTs that worked better than others? Why?; How to cope with the economic burden of non-communicable diseases?; Which digital health technologies (DHTs) are already used and reimbursed? In which fields? What are those offerings? How are these paid for? (self-paid, basic insurance, additional insurance, etc.); Could you already assess the effectiveness and/or efficiency of DHTs?

Authors: Kai Gand ¹ , Hannes Schlieter ¹ , Elena Segarra ² and Andreea Garaiacu ³

Affiliations: ¹ Research Group Digital Health, TUD Dresden University of Technology, Dresden, Germany , ² Digital Health Development, Digital Health Innolab, DKV, Barcelona, Spain , ³ National Health Insurance House, Bucharest, Romania

Digital Object Identifier: 10.5220/0012401800003657

Proceedings of Scale-IT-up 2024, ISBN: 978-989-758-688-0

Quick Abstract

The study delves into the implications and perceptions of Digital Health Technologies (DHT) within the healthcare system. Among the many relevant stakeholders, the present study’s objective is to explore the perspective of health insurers particularly. On this, we have conducted a survey (1 face-to-face interview, 5 online questionnaires) for a multiple case study on lessons from European health insurance entities from 5 countries regarding usage scenarios of DHT. Recognized for their transformative potential, DHT promises to address demographic shifts, streamline payment processes, and enhance patient management, especially for chronic diseases. However, the survey participants still see challenges in terms of their long-term effectiveness, demographic and regulatory constraints. Countries like Germany have pioneered regulatory frameworks, but issues of trust and interoperability persist. The economic implications of DHT present both potential cost savings and financial burdens. Health insurers emerge as pivotal players, acting as gatekeepers for DHT quality and driving adoption. As the DHT landscape evolves, continuous evaluation, adaptation, and multi-stakeholder collaboration are paramount for harnessing their full potential.

Influence of Students’ Choice of Examination Format on Examination Results

Topics: Metrics and Performance Measurement; Active Learning; Instructional Design; Classroom Management; Faculty Development ; Feedback and Learning Support; Engineering Education; COVID-19 Impact on Education

Authors: Tenshi Hara ¹ , Sebastian Kucharski ² , Iris Braun ² and Karina Hara ³

Affiliations: ¹ Saxon University of Cooperative Education, State Study Academy Dresden, Germany , ² TU Dresden, Faculty of Computer Science, Chair of Distributed and Networked Systems, Germany , ³ Blue Pumpkin LLC of Kailua-Kona, HI, U.S.A.

Digital Object Identifier: 10.5220/0012605400003693

Proceedings of CSEDU 2024, ISBN: 978-989-758-697-2

Quick Abstract

This study explores the impact of free choice of examination format on student performance in the ‘Pro-gramming of Mobile Applications’ (PMA) course at the Saxon University of Cooperative Education. The PMA course, offered in both Information Technology (IT) and Media Informatics (MI) curricula, underwent changes in examination format, allowing students to choose between a traditional written examination, a programming assignment, or a seminar paper. The investigation spans data from 2018 to 2023, encompassing 67 written examinations and 111 choice examinations. Results indicate a nuanced improvement in overall grades when students opt for non-traditional examination formats. Disregarding fails due to non-submission, the average grade for choice examinations improves (lower grade is better) to 1.89 compared to 2.10 for written exams. Notably, students exhibit a nearly one sub-grade enhancement in performance. The choice between programming assignments and seminar papers does not significantly impact grades. However, compared to traditional written examinations, flexibility in assessment formats positively influences student outcomes, enhancing overall student performance and emphasising the benefits of creative flexibility and alignment with individual interests in assessment practices.

Overcoming Student Passivity with Automatic Item Generation

Topics: Assessment; Feedback and Learning Support; Authoring Tools, Editors, and eLearning Platforms

Authors: Sebastian Kucharski ¹ , Florian Stahr ¹ , Iris Braun ¹ and Gregor Damnik ²

Affiliations: ¹ Chair of Distributed and Networked Systems, TUD Dresden University of Technology, Dresden, Germany , ² Chair of Didactics of Computer Science, TUD Dresden University of Technology, Dresden, Germany

Digital Object Identifier: 10.5220/0012747500003693

Proceedings of AIG 2024, ISBN: 978-989-758-697-2

Quick Abstract

Studying at German universities is often associated with a passive mode of learning. Using learning tasks and (self-)test items is an effective way to address this issue. However, due to the high cost of creation, these materials are rarely provided to learners. The approach of Automatic Item Generation (AIG) allows for the resource-efficient generation of learning tasks and (self-)test items. This paper demonstrates, after presenting general ideas of AIG, how tasks or items can be automatically generated using the AIG Model Editor designed at TUD Dresden University of Technology. Subsequently, items generated using the AIG approach are compared with items created in a traditional manner. The results show that automatically generated items have comparable properties to traditionally created items, but their generation requires much less effort than the traditional creation, thus making AIG appear as a promising alternative for supporting active learning at universities.

Revision of the AIG Software Toolkit: A Contribute to More User Friendliness and Algorithmic Efficiency

Topics: Instructional Design; Tools to Assess Learning

Authors: Sebastian Kucharski ¹ , Gregor Damnik ² , Florian Stahr ¹ and Iris Braun ¹

Affiliations: ¹ Computer Networks Group, Faculty for Computer Science, Technische Universität Dresden, Germany , ² Center for Teacher Education and Educational Research, Technische Universität Dresden, Germany

Digital Object Identifier: 10.5220/0011982000003470

Proceedings of CSEDU 2023, ISBN: 978-989-758-641-5

Quick Abstract

The traditional way of constructing items to assess learning is time-consuming because it requires experts to perform the labor-intensive task of creating legions of items by hand. The Automatic Item Generation (AIG) approach aims to streamline this process by having experts not formulate individual items, but rather create highly structured models that can be used by software to automatically generate them. This requires two types of software components. First, an editor that allows experts to specify these models. Second, a generator that processes the specified models and generates the intended items. The elaboration of these components must address the following challenges. The former must be usable for the definition of complex knowledge models while the corresponding modeling process should be easy to understand. The latter should be able to process these models in a reasonable time. Thus, the goal is to overcome both challenges by defining and conceptualizing the use of a model representation that is easy to understand and efficient to process. Therefore, we present a new AIG software toolkit in relation to our previous work, which addresses these challenges by introducing a new representation approach - the layered-model-approach. The toolkit shall be evaluated in terms of usability and efficiency.

Be Aware! Indications for Intercultural Awareness for Digital Health Innovations and Innovation Capability

Topics: Dissemination and adoption strategies for digital innovations; Implementation strategies or models for localizing and tailoring of digital health applications; Implementation research or experience from implementation of digital health innovations

Authors: Lena Otto , Linda Kosmol , Tim Scheplitz and Hannes Schlieter

Affiliation: Research Group Digital Health, Technische Universität Dresden, Dresden, Germany

Digital Object Identifier: 10.5220/0011009900003123

Proceedings of Scale-IT-up 2022, ISBN: 978-989-758-552-4

Quick Abstract

Cultural influences on single Digital Health Innovation (DHI) processes or on a society’s capability to promote DHI development and implementation remain difficult to describe and to manage on different levels of responsibility. Using Hofstede’s Dimensions of National Culture, we investigated the influence of each dimension on DHI to support awareness and to derive valuable indications for both practice and research. An expert study with 23 participants representing 13 different European countries explored the influence of a nation’s characteristic on how the DHI domain is supported or slowed down. The results describe indications for all six dimensions of Hofstede, but “Uncertainty Avoidance” and “Indulgence” are highlighted as the interviewees could assess their influence on DHI confidently. Combined with cultural aspects that do not rely on nationalities, our contribution can improve scientific and practice-oriented initiatives especially in context of international collaborations or of DHI for multi-national usage scenarios.

Empirical Evaluation of a Novel Lane Marking Type for Camera and LiDAR Lane Detection

Topics: Vehicle Control Applications; Intelligent Transportation Technologies and Systems; Sensors Fusion; Engineering Applications on Intelligent Control Systems and Optimization

Authors: Sven Eckelmann ¹ , Toralf Trautmann ² , Xinyu Zhang ¹ and Oliver Michler ¹

Affiliations: ¹ Institute of Traffic Telematics, Technical University Dresden, Dresden, Germany , ² Mechatronics Department, University of Applied Science Dresden, Dresden, Germany

Digital Object Identifier: 10.5220/0010550500690077

Proceedings of ICINCO 2021, ISBN: 978-989-758-522-7

Quick Abstract

Highly automated driving requires a zero-error interpretation of the current vehicle environment utilizing state of the art environmental perception based on camera and Light Detection And Ranging (LiDAR) sensors. An essential element of this perception is the detection of lane markings, e.g. for lane departure warnings. In this work, we empirically evaluate a novel kind of lane marking, which enhances the contrast (artificial light-dark boundary) for cameras and 3D retro reflective elements guarantee a better reflection for light beams from a LiDAR. Thus intensity of point data from LiDAR is regarded directly as a feature for lane segmentation. In addition, the 3D lane information from a 2D camera is estimated using the intrinsic and extrinsic camera parameters and the lane width. In the frame of this paper, we present the comparison between the detection based on camera and LiDAR as well as the comparison between conventional and the new lane marking in order to improve the reliability of lane detection for different sensors. As a result, we are able to demonstrate that the track can be detected safely with the LiDAR and the new lane marking.

Future Parking Applications: Wireless Sensor Network Positioning for Highly Automated in-House Parking

Topics: Vehicle Control Applications; Intelligent Transportation Technologies and Systems; Engineering Applications

Authors: Andrea Jung , Paul Schwarzbach and Oliver Michler

Affiliation: Institute of Traffic Telematics, Technische Universität Dresden, Germany

Digital Object Identifier: 10.5220/0009891107100717

Proceedings of ICINCO 2020, ISBN: 978-989-758-442-8

Quick Abstract

One of the bottlenecks for motorized individual transportation for end-to-end trips is the search for parking space. Common solutions to minimize spatial needs are in-house parking garages, but even in those, finding available parking lots can be quite time consuming. In this contribution we therefore present a cheap and retrofittable parking system, enabling automated entrance to parking lot reservation, navigation and clearing for already existing parking garages. One of its key component is a robust indoor positioning based on Wireless Sensor Networks (WSN) enabling vehicle independent and automated routing. We will provide a general overview of WSN measurement principles and propose two possible technology candidates, a 2.4 GHz narrow-band technology and Ultra-Wide Band (UWB). Furthermore, a robust range-only positioning approach utilizing Markov Localization, called Probability Grid Positioning (PGP), is presented. With the help of UWB and IEEE 802.15.4 ranging modules the algorithm is qualitatively evaluated with measurements in a car park in Leipzig, Germany. Our proposed PGP approach leads to overall smoother trajectories compared to a state-of-the-art Least Squares Estimation (LSE) and thus achieves accurate and robust positioning in demanding heavy-multipath environments. This can build the foundation for future work in the field of highly-automated in-house parking.

Integrating Lightweight Compression Capabilities into Apache Arrow

Topics: In-Memory Databases; New Data Standards; Big Data Infrastructure

Authors: Juliana Hildebrandt , Dirk Habich and Wolfgang Lehner

Affiliation: Technische Universität Dresden, Database Systems Group, Dresden, Germany

Digital Object Identifier: 10.5220/0009820100550066

Proceedings of DATA 2020, ISBN: 978-989-758-440-4

Quick Abstract

With the ongoing shift to a data-driven world in almost all application domains, the management and in particular the analytics of large amounts of data gain in importance. For that reason, a variety of new big data systems has been developed in recent years. Aside from that, a revision of the data organization and formats has been initiated as a foundation for these big data systems. In this context, Apache Arrow is a novel cross-language development platform for in-memory data with a standardized language-independent columnar memory format. The data is organized for efficient analytic operations on modern hardware, whereby Apache Arrow only supports dictionary encoding as a specific compression approach. However, there exists a large corpus of lightweight compression algorithms for columnar data which helps to reduce the necessary memory space as well as to increase the processing performance. Thus, we present a flexible and language-independent approach integrating lightweight compression algorithms into the Apache Arrow framework in this paper. With our so-called ArrowComp approach, we preserve the unique properties of Apache Arrow, but enhance the platform with a large variety of lightweight compression capabilities.

The Nature of Digital Innovation and What Can Be Learned for Information Systems Management

Topic: Dissemination and adoption strategies for digital innovations

Authors: Stefanie Kaczmarek , Martin Benedict and Marcel Susky

Affiliation: Chair of Wirtschaftsinformatik, esp. Systems Development, Technische Universität Dresden, Dresden, Germany

Digital Object Identifier: 10.5220/0009311607870797

Proceedings of Scale-IT-up 2020, ISBN: 978-989-758-398-8

Quick Abstract

In all spheres of life, the ongoing digital transformation has led to an increasing variety of definitions, types, and characteristics of digital innovation. However, the diversity of terminology regarding digital innovation may cause confusion about the general concepts in this context. Therefore, the objective of this study is to provide a descriptive insight into the nature of digital innovation. Our paper shows how digital innovation has altered since its emergence in the field of information systems re-search. This change of understanding has an impact on the design of information systems. Following a systematic literature review, a quantitative and qualitative analysis of the identified vocabulary was conducted to gain types and characteristics of digital innovation. Based on these characteristics, we describe how digital innovation influences information systems. We focus on hospital information systems as a case example from the healthcare sector.

Column Scan Optimization by Increasing Intra-Instruction Parallelism

Topics: Query Processing and Optimization; Database Architecture and Performance

Authors: Nusrat Jahan Lisa ¹ , Annett Ungethüm ¹ , Dirk Habich ¹ , Nguyen Duy Anh Tuan ² , Akash Kumar ² and Wolfgang Lehner ¹

Affiliations: ¹ Database Systems Group, Technische Universität Dresden, Dresden and Germany , ² Processor Design Group, Technische Universität Dresden, Dresden and Germany

Digital Object Identifier: 10.5220/0006897003440353

Proceedings of DATA 2018, ISBN: 978-989-758-318-6

Quick Abstract

The key objective of database systems is to reliably manage data, whereby high query throughput and low query latency are core requirements. To satisfy these requirements for analytical query workloads, in-memory column store database systems are state-of-the-art. In these systems, relational tables are organized by column rather than by row, so that a full column scan is a fundamental key operation and thus, the optimization of the key operation is very crucial. For this reason, we investigated the optimization of a well-known scan technique using SIMD (Single Instruction Multiple Data) vectorization as well as using Field Programmable Gate Arrays (FPGA). In this paper, we present both optimization approaches with the goal to increase the intra-instruction execution parallelism to process more columns values in a single instruction simultaneously. For both, we present selective results of our exhaustive evaluation. Based on this evaluation, we draw some lessons learned for our ongoing research activities.

Related Ontology Subjects/Areas/Topics (4)