Vorlesung + Übung: Health Care Operations Management - Details

Vorlesung + Übung: Health Care Operations Management - Details

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Allgemeine Informationen

Veranstaltungsname Vorlesung + Übung: Health Care Operations Management
Veranstaltungsnummer WIW-5089
Semester SS 2024
Aktuelle Anzahl der Teilnehmenden 75
erwartete Teilnehmendenanzahl 300
Heimat-Einrichtung Prof. Dr. Sebastian Schiffels - Digital Health and Medical Decision Making
beteiligte Einrichtungen Wirtschaftswissenschaftliche Fakultät
Veranstaltungstyp Vorlesung + Übung in der Kategorie Lehre
Erster Termin Dienstag, 16.04.2024 10:00 - 11:30, Ort: (J1106)
Voraussetzungen (Advanced) knowledge in Operations Management, Mathematics
(including Linear Programming), and Statistics, knowlegde in
optimization (e.g. OPL)/simulation (e.g. Arena) software is an
advantage
Lernorganisation At the end of the module, the students are familiar with the standard problems and models in Health Care Operations Management. They are able to model problems and to solve these models with appropriate mathematical methods. This enables them to analyze Health Care Operations Management problems and to make sound decisions in the field of health care operations management
Leistungsnachweis Written exam
Veranstaltung findet in Präsenz statt / hat Präsenz-Bestandteile Ja
Hauptunterrichtssprache englisch
Sonstiges This course will be closed after the semester start due to copyright of research papers. If you want to join the course during the semester, send an e-mail to lorenz.wagner@uni-a.de.

Räume und Zeiten

(J1106)
Dienstag: 10:00 - 11:30, wöchentlich (11x)
Mittwoch: 08:15 - 09:45, wöchentlich (10x)
Keine Raumangabe
Mittwoch: 08:15 - 09:45, wöchentlich

Modulzuordnungen

Kommentar/Beschreibung

The course deals with general topics of health care operations management and is divided into the following parts:
• Introduction to health care operations management
• Health care planning matrix
• Case mix and admission planning
• Nurse and physician scheduling
• Master surgery scheduling
• Patient flow planning
• Appointment scheduling
• (optional) Urgent and emergency services