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Computer Science 7

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ProHTA: Prospective Assessment of Healthcare Technologies

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    • ACOOWEE – Activity Oriented Programming of Wireless Sensor Networks
    • ALF: Autonomous Localization Framework
    • Analysis Methods for Non-Markovian Models
    • A⁵: Development Method for Driver Assistance Systems based on a Domain-Specific Language
    • BioNeting – Bio-inspired Networking
    • CoCar – Cooperative Cars
    • Concurrency in timed usage models for system testing in the automotive domain
    • Data Quality and the Control of Automotive Manufacturing
    • Decentralized organization of future energy systems based on the combination of blockchains and the cellular concept
    • Dienstgütegarantien für Ethernet in der industriellen Kommunikation
    • e-NUE: Co-Simulation of Electrified and Connected Vehicles
    • Energy System Analysis
    • Formal verification and validation of test methods for complex vehicle safety systems in virtual environments
    • GeTTeMo – Systematische Generierung von Testszenarien aus benutzungsorientierten Testmodellen
    • HISTORY – HIgh Speed neTwork mOnitoRing and analYsis
    • Hybrid Simulation of Intelligent Energy Systems
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    • MaTeLo (Markov Test Logic)
    • Mo.S.I.S. (Modular Software Engineering for Interoperative Systems)
    • Model support in design, test, and monitoring of image system architectures
    • Modeling of External and Internal Impact Factors on the Performance of Wireless Local Area Networks
    • monk-it – Efficient distributed monitoring, attack detection, and event correlation
    • p2p4wsn – Efficient Data Management in Mobile Sensor Networks using Peer-to-Peer Technologies
    • Pal-Grid: A Comprehensive Simulation Framework for the Palestinian Power Grid
    • Privacy in Vehicular Networks
    • ProHTA: Prospective Assessment of Healthcare Technologies
    • Q.E.D. (QoS Enhanced Development Using UML2.0 and TTCN-3)
    • Quality of Service of Networked Embedded Systems
    • Requirements oriented testing with Markov chain usage models in the automotive domain
    • ROSES – Robot Assisted Sensor Networks
    • Secure intelligent Mobility – Testarea Germany
    • Security and Quality of Service and Aspects in ZigBee-based Wireless Communication
    • Self-organization of SN-MRS systems
    • Sensitivity Analysis of Queueing Networks
    • SkyNet – Communicating Paragliders
    • Smart Grid Services
    • Smart Grid Solar
    • Software-in-the-Loop Simulation and Testing of Highly Dependable Distributed Automotive Applications
    • Support for inter-domain routing and data replication in virtual coordinate based networks
    • SWARM (Storage With Amply Redundant Megawatt)
    • Telematics Services in Hybrid Networks
    • Transmission of Safety-Relevant Sensor Data in Intra-Car Communication Systems
    • Veins 1.0 – Vehicles in Network Simulation
    • Web Cluster Laboratory
    • WinPEPSY-QNS – Performance Evaluation and Prediction System for Queueing Networks

ProHTA: Prospective Assessment of Healthcare Technologies

Logo prohta

Project Description

Prospective HTA (ProHTA) is a project within the Medical Valley EMN which is crucial to reach the goals of the Center of Excellence for Medical Technology. It is the approach of ProHTA to understand the impact of products and solutions on medical and organizational processes already at the beginning of the concept phase. Thereby these processes can be prospectively optimized with the health technologies’ innovative possibilities. By integrating technology and processes in simulated scenarios, impacts on health care players can be derived and analyzed on a cost-efficiency basis. Finally conclusions can be drawn regarding the innovation’s development as well as necessary adaptations of the health care system in general. The overall goal of ProHTA is the implementation of a platform for scientific services at the disposal of the regional health care manufacturers. The platform accumulates, as already mentioned above, knowledge and technical tools to answer two questions. 1. What are effects of innovative health technologies and products on the quality and costs of health care? 2. Where are potentials of efficiency enhancement within the supply chain of health care? The Chair of Computer Science 7, in particular works on the module “Models and Simulation”. All relevant aspects of the system are combined in so-called conceptual models, which need not be executable and may be composed of textual and graphical elements. Based on conceptual models, which are agreed by modeler and domain experts, executable simulation models will be created and validated by simulating use cases and specific health care scenarios. For this purpose, modeling paradigms have to be defined, i.e. agent-based models, system dynamics models or hybrid models that combine both.

Project Period

    2011-02-01 – 2015-04-01

Project Members

Prof. Dr.-Ing. Reinhard German
Dr.-Ing. Anatoli Djanatliev

Sponsored by

BMBF (Bundesministerium für Bildung und Forschung)

Involved institutions

Medical Valley e.V.

Related Publications

  1. Anatoli Djanatliev, Peter Kolominsky-Rabas, Bernd M. Hofmann, Axel Aisenbrey und Reinhard German, “System Dynamics and Agent-Based Simulation for Prospective Health Technology Assessments,” in “Simulation and Modeling Methodologies, Technologies and Applications”, M. Obaidat (Ed.), J. Filipe (Ed.), J. Kacprzyk (Ed.) und N. Pina (Ed.) ser. Advances in Intelligent Systems and Computing, Springer, pp. 85-96, 2014
  2. Anatoli Djanatliev und Reinhard German, “Prospective Healthcare Decision-Making by Combined System Dynamics, Discrete-Event and Agent-Based Simulation,” Proceedings of the 2013 Winter Simulation Conference, Washington, D.C. USA, pp. 270-281, Dezember 2013
  3. Anatoli Djanatliev und Reinhard German, “Large Scale Healthcare Modeling by Hybrid Simulation Techniques using AnyLogic,” Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques, Cannes, France, pp. 248-257, März 2013
  4. Anatoli Djanatliev, Peter Kolominsky-Rabas, Bernd M. Hofmann und Reinhard German, “Hybrid Simulation with Loosely Coupled System Dynamics and Agent-Based Models for Prospective Health Technology Assessments,” Proceedings of the 2012 Winter Simulation Conference, Berlin, Germany, pp. 770-781, Dezember 2012
Computer Science 7 (Computer Networks and Communication Systems)
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