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Department of Mathematics

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HealthFaCT Contents

In page navigation: EDOM
  • Overview
  • Team
    • Edeltraud Balser
    • Beate Kirchner
    • Frauke Liers
    • Timm Oertel
    • Regine Stirnweiß
    • Dieter Weninger
  • Projects
    • Analytics
      • ADA Lovelace Center
      • Optimal Control of Electrical Distribution Networks with Uncertain Solar Feed-In
      • Optimization of medical care in rural environments
        • HealthFaCT Contents
      • EWave – Water Supply Energy Management System
      • LeOpIn
      • Robust Schedules for Air Traffic Management
      • RobustATM: Robust Optimization of ATM Planning Processes by Modelling of Uncertainty Impact
    • Energy
      • Robustification of Physical Parameters in Gas Networks
      • Adaptive MIP-Relaxations for MINLPs
      • Analysis of the German Electricity Market
      • MIP-based Alternating Direction Methods for High-Detail Stationary Gas Transport MINLPs
      • Decomposition methods for mixed-integer optimal control
      • Optimal allocation of gas network capacities
      • Energy System Analysis
      • Robust Power Load Balancing in Railway Networks
      • Smart Grid Optimization
    • Engineering and Physics
    • Logistics and Production
      • Driver Assistance Systems in Railway Traffic
      • Energy-Efficient Timetable Optimization
      • Joint Locomotive Scheduling and Driver Rostering in Rail Freight Traffic
      • Holistic optimization of trajectrories and runway scheduling
      • Optimized Production in the Tea Industry
      • OPs-TIMAL – Optimized processes for trajectory, maintenance and management of ressources and operations in aviation
      • Process optimization for hospital logistics
      • Expansion of the German Rail Freight Network
    • Mixed Integer Programming
      • Solver for Relaxations in General Mixed Integer Nonlinear Programming (SCIP/NL)
      • Development of new Linear and MIP Techniques for Supply Chain Management
      • Lamatto++
    • TRR 154 (Transregio)
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HealthFaCT Contents

Project Description of HealthFaCT

Background

Ambulatory care is an essential part of our health care system. This
system faces major challenges, especially with respect to demographic
changes, centralization of health care facilities as well as a
combination of dwindling ressources and increasing costs. This change is
already noticeable in rural environments. Small villages and dispersed
settlements are affected by huge population decreases. Hence, the
current medical infrastructure is no longer sustainable.

Goal

A health care system which remains operational is the basis of a high
quality of life and its development has an exceptional relevance to
society. Decision-supporting systems improving ambulatory care in rural
environments are developed, used and evaluated within HealthFaCT.
Thereby, high uncertainties in terms of demographic development,
frequently varying demands or suddenly appearing emergency calls must
not be ignored. Moreover, the planning of patient transportations and
rescue missions have real-time requirements without any knowledge about
future requests. For the purpose of evaluating the established models
and algorithms, a complex simulation environment will be developed. Not
only the current situation but also future scenarios can be studied with
this system. The usage of newly developed solution methods can be
assessed with this tool in terms of costs and usability, which could be
beneficial in making political decisions.

Key activities

The collaborative project HealthFaCT is divided into four subprojects:
<ul> <li>Subproject 1: “Optimal pharmaceutical supply”</li>
<li>Subproject 2: “Optimal locations for emergency medical
services”</li> <li>Subproject 3: “Minimizing waiting times in patient
transportations and rescue missions”</li> <li>Subproject 4: “Data
analysis and simulation environment”</li> </ul>

Friedrich-Alexander-Universität
Department of Mathematics

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91058 Erlangen
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