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2. Patient Similarity Analysis with Longitudinal Health Data

Author

Allam, Ahmed, Dittberner, Matthias, Sintsova, Anna, Brodbeck, Dominique, and Krauthammer, Michael

Subjects
Computer Science - Machine Learning, Computer Science - Computers and Society, Quantitative Biology - Quantitative Methods, Statistics - Applications, Statistics - Machine Learning
Abstract

Healthcare professionals have long envisioned using the enormous processing powers of computers to discover new facts and medical knowledge locked inside electronic health records. These vast medical archives contain time-resolved information about medical visits, tests and procedures, as well as outcomes, which together form individual patient journeys. By assessing the similarities among these journeys, it is possible to uncover clusters of common disease trajectories with shared health outcomes. The assignment of patient journeys to specific clusters may in turn serve as the basis for personalized outcome prediction and treatment selection. This procedure is a non-trivial computational problem, as it requires the comparison of patient data with multi-dimensional and multi-modal features that are captured at different times and resolutions. In this review, we provide a comprehensive overview of the tools and methods that are used in patient similarity analysis with longitudinal data and discuss its potential for improving clinical decision making.

Published
2020

4. A Method and Tool for Strategic Hospital Planning

Author

Brodbeck, Dominique, Degen, Markus, Walter, Andreas, Reichlin, Serge, Napierala, Christoph, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Liu, Ting, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Fred, Ana, editor, Gamboa, Hugo, editor, and Elias, Dirk, editor

Published
2015
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6. RWD-Cockpit: Application for Quality Assessment of Real-world Data

Author

Babrak, Lmar Marie, primary, Smakaj, Erand, additional, Agac, Teyfik, additional, Asprion, Petra Maria, additional, Grimberg, Frank, additional, der Werf, Daan Van, additional, van Ginkel, Erwin Willem, additional, Tosoni, Deniz David, additional, Clay, Ieuan, additional, Degen, Markus, additional, Brodbeck, Dominique, additional, Natali, Eriberto Noel, additional, Schkommodau, Erik, additional, and Miho, Enkelejda, additional

Published
2022
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8. Interactive Visualization - A Survey

Author

Brodbeck, Dominique, Mazza, Riccardo, Lalanne, Denis, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Lalanne, Denis, editor, and Kohlas, Jürg, editor

Published
2009
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9. Persuasiveness of a Mobile Lifestyle Coaching Application Using Social Facilitation

Author

Gasser, Roland, Brodbeck, Dominique, Degen, Markus, Luthiger, Jürg, Wyss, Remo, Reichlin, Serge, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, IJsselsteijn, Wijnand A., editor, de Kort, Yvonne A. W., editor, Midden, Cees, editor, Eggen, Berry, editor, and van den Hoven, Elise, editor

Published
2006
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10. ICU Cockpit: a platform for collecting multimodal waveform data, AI-based computational disease modeling and real-time decision support in the intensive care unit

Author

Boss, Jens Michael, Narula, Gagan, Straessle, Christian, Willms, Jan, Azzati, Jan, Brodbeck, Dominique, Luethy, Rahel, Suter, Susanne, Buehler, Christof, Muroi, Carl, Mack, David Jule, Seric, Marko, Baumann, Daniel, Keller, Emanuela, and University of Zurich

Subjects
Machine Learning, Intensive Care Units, 10180 Clinic for Neurosurgery, Humans, Health Informatics, Computer Simulation, 610 Medicine & health, Case Reports, 10023 Institute of Intensive Care Medicine, Decision Support Systems, Clinical, Algorithms, Software
Abstract

ICU Cockpit: a secure, fast, and scalable platform for collecting multimodal waveform data, online and historical data visualization, and online validation of algorithms in the intensive care unit. We present a network of software services that continuously stream waveforms from ICU beds to databases and a web-based user interface. Machine learning algorithms process the data streams and send outputs to the user interface. The architecture and capabilities of the platform are described. Since 2016, the platform has processed over 89 billion data points (N = 979 patients) from 200 signals (0.5–500 Hz) and laboratory analyses (once a day). We present an infrastructure-based framework for deploying and validating algorithms for critical care. The ICU Cockpit is a Big Data platform for critical care medicine, especially for multimodal waveform data. Uniquely, it allows algorithms to seamlessly integrate into the live data stream to produce clinical decision support and predictions in clinical practice.

Published
2022

16. Making the Radiology Workflow Visible in Order to Inform Optimization Strategies.

Author

BRODBECK, Dominique, DEGEN, Markus, LÜTHY, Rahel, and HEYE, Tobias

Abstract

Medical imaging is undergoing rapid change, induced by the increasing amount of image data, and advances in fields such as artificial intelligence. In order for a radiology service provider to respond to these challenges, it needs to adapt its workflow. To inform optimization strategies, the way that processes and resources interact in the real world must be understood. We report on our experiences with an approach that consists of merging a variety of data sources into a data model that allows efficient interactive queries, and then providing highly interactive visualizations to explore the data. Two examples are discussed: animation of patient flow through the radiology workflow, and the use of energy consumption patterns to characterize operational modalities. [ABSTRACT FROM AUTHOR]

Published
2019
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22. Visualization Summit 2007: Ten Research Goals for 2010

Author

Burkhard, Remo Aslak, primary, Andrienko, Gennady, additional, Andrienko, Natalia, additional, Dykes, Jason, additional, Koutamanis, Alexander, additional, Kienreich, Wolfgang, additional, Phaal, Robert, additional, Blackwell, Alan, additional, Eppler, Martin, additional, Huang, Jeffrey, additional, Meagher, Mark, additional, Grün, Armin, additional, Lang, Silke, additional, Perrin, Daniel, additional, Weber, Wibke, additional, Vande Moere, Andrew, additional, Herr, Bruce, additional, Börner, Katy, additional, Fekete, Jean-Daniel, additional, and Brodbeck, Dominique, additional

Published
2007
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23. Persuasiveness of a Mobile Lifestyle Coaching Application Using Social Facilitation.

Author

IJsselsteijn, Wijnand, Kort, Yvonne, Midden, Cees, Eggen, Berry, Hoven, Elise, Gasser, Roland, Brodbeck, Dominique, Degen, Markus, Luthiger, Jürg, Wyss, Remo, and Reichlin, Serge

Abstract

In a field study we compared usage and acceptance of a mobile lifestyle coaching application with a traditional web application. The participants (N=40) documented health behaviour (activity and healthy nutrition) daily, trying to reach a defined goal. In addition, health questionnaires and social facilitation features were provided to enhance motivation. Acceptance of the system was high in both groups. The mobile application was perceived as being more attractive and fun to use. Analysis of the usage patterns showed significant differences between the mobile and the web-based application. There was no significant difference between the two groups in terms of task compliance and health behaviour. The effectiveness of mobility and social facilitation was confounded by other variables, e.g. gender and age. Initial motivation for lifestyle change was related to the overall compliance and goal achievement of the participant. Implications show ways to strengthen the persuasiveness of health applications on mobile devices. [ABSTRACT FROM AUTHOR]

Published
2006
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28. ICU Cockpit: a platform for collecting multimodal waveform data, AI-based computational disease modeling and real-time decision support in the intensive care unit.

Author

Boss JM, Narula G, Straessle C, Willms J, Azzati J, Brodbeck D, Luethy R, Suter S, Buehler C, Muroi C, Mack DJ, Seric M, Baumann D, and Keller E

Subjects
Algorithms, Computer Simulation, Humans, Intensive Care Units, Machine Learning, Software, Decision Support Systems, Clinical
Abstract

ICU Cockpit: a secure, fast, and scalable platform for collecting multimodal waveform data, online and historical data visualization, and online validation of algorithms in the intensive care unit. We present a network of software services that continuously stream waveforms from ICU beds to databases and a web-based user interface. Machine learning algorithms process the data streams and send outputs to the user interface. The architecture and capabilities of the platform are described. Since 2016, the platform has processed over 89 billion data points (N = 979 patients) from 200 signals (0.5-500 Hz) and laboratory analyses (once a day). We present an infrastructure-based framework for deploying and validating algorithms for critical care. The ICU Cockpit is a Big Data platform for critical care medicine, especially for multimodal waveform data. Uniquely, it allows algorithms to seamlessly integrate into the live data stream to produce clinical decision support and predictions in clinical practice., (© The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Published
2022
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