Decision-Support Systems for Ambulatory Care, including Pandemic Requirements: Using Mathematically Optimized Solutions

Leithäuser N, Adelhütte D, Braun K, Büsing C, Comis M, Gersing T, Johann S, Koster A, Krumke S, Liers F, Schmidt E, Schneider J, Streicher M, Tschuppik S, Wrede S (2022)


Publication Language: English

Publication Status: Submitted

Publication Type: Journal article, Original article

Future Publication Type: Other publication type

Publication year: 2022

Journal

URI: https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-022-01866-x

DOI: 10.1186/s12911-022-01866-x

Open Access Link: https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-022-01866-x

Abstract

The healthcare sector poses many strategic, tactic and operational planning questions. Due to the historically grown structures, planning is often locally confined and much optimization potential is foregone.
 Mathematical optimization can be used to model and solve these planning problems.
 However, in order to convince decision-makers of an alternative solution structure, mathematical solutions must be comprehensible and tangible. In this work, we describe optimized decision-support systems for ambulatory care using the example of four different planning problems that cover a variety of aspects in terms of planning scope and decision support tools. The planning problems that we present are the problem of positioning centers for vaccination against Covid-19 (strategical) and emergency doctors (strategical/tactical), the out-of-hours pharmacy planning problem (tactical), and the route planning of patient transport services (operational). For each problem, we describe the planning question, give an overview of the mathematical model and present the implemented decision support application.
 

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How to cite

APA:

Leithäuser, N., Adelhütte, D., Braun, K., Büsing, C., Comis, M., Gersing, T.,... Wrede, S. (2022). Decision-Support Systems for Ambulatory Care, including Pandemic Requirements: Using Mathematically Optimized Solutions. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-022-01866-x

MLA:

Leithäuser, Neele, et al. "Decision-Support Systems for Ambulatory Care, including Pandemic Requirements: Using Mathematically Optimized Solutions." BMC Medical Informatics and Decision Making (2022).

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