22
Κυρ, Δεκ

"Interrelations between cost-effectiveness decisions and uncertainty in healthcare management: Two case studies in health economics" - Δημόσια διάλεξη Δρ. Μιχάλη Τάλια

"Interrelations between cost-effectiveness decisions and uncertainty in healthcare management: Two case studies in health economics" είναι ο τίτλος της δημόσιας διάλεξης του Επίκουρου Καθηγητή Μιχάλη Τάλια, η οποία εντάσσεται στο πλαίσιο διαδικασίας ανέλιξής του στη βαθμίδα του Αναπληρωτή Καθηγητή. Ο Μιχάλης Τάλιας είναι Ακαδημαϊκός Υπεύθυνος του ΜΠΣ "Διοίκηση Μονάδων Υγείας" του ΑΠΚΥ.

Θα πραγματοποιηθεί την Τρίτη 15 Σεπτεμβρίου 2020, στις 09:30 π.μ. στην Αίθουσα Συνεδριάσεων του 4ου ορόφου, Λεωφ. Γιάννου Κρανιδιώτη 33, Λατσιά.

Η διάλεξη θα μεταδίδεται και διαδικτυακά στον σύνδεσμο: ΕΔΩ.

Abstract:

All health care systems, regardless of whether they are predominantly tax, social insurance-based, or market-based, struggle with the issue of sustainability, defined as maintaining quality and service coverage at an affordable cost. This is particularly true for the last decade; costs have risen as a result of aging populations, and the technologies developed to meet their expectations, concerns, and needs, and the recent economic crisis has exacerbated the problem. It is crucial to utilize limited medical resources effectively. Health economics is the field that integrates medical science and economics. In this talk, I present two cases studies in health economics from my recent work, which illustrate the interrelations between cost-effectiveness decisions and uncertainty, in the optimal management of healthcare. In the first study, I will discuss findings from a recent cost-effectiveness analysis for breast cancer. We compared three therapeutic schemes of one-year Adjuvant Trastuzumab in HER2-Positive Early Breast Cancer. Several studies have shown that the use of adjuvant trastuzumab for one year in early breast cancer with HER2- positive significantly improves the rate of survival without progression of the disease and reduces the risk of death. In this study, a Markov model is used to model the four possible stages of the disease, including death. In the second part of the talk, I will discuss the development and validation of a knowledge management questionnaire for hospitals. As will be shown, the collected data can be used to learn more about the organizational structure and knowledge management for hospitals. The knowledge-creation process is vital for sustainability and can lead to competitive advantage.