Yeni Bir Bulanık Karar Verme Modeli ile Hastane için Etkili Performans Yönetim Stratejilerinin Tanımlanması
PDF
Atıf
Paylaş
Talep
P: 119-127
Ocak 2024

Yeni Bir Bulanık Karar Verme Modeli ile Hastane için Etkili Performans Yönetim Stratejilerinin Tanımlanması

Bezmialem Science 2024;12(1):119-127
Bilgi mevcut değil.
Bilgi mevcut değil
Alındığı Tarih: 11.07.2023
Kabul Tarihi: 30.10.2023
Yayın Tarihi: 31.01.2024
PDF
Atıf
Paylaş
Talep

ÖZET

Amaç:

Bu çalışma, hastanelerin etkin performans yönetimi için en önemli konuları belirlemeyi amaçlamaktadır.

Yöntemler:

Buna göre, literatür taraması sonuçlarına dayalı olarak yedi kriter seçilmiştir. Bu kriterlerden en önemlilerini belirlemek için küresel bulanık TOP-DEMATEL yöntemi kullanılarak bir analiz yapılmıştır.

Bulgular:

Bu çalışmanın temel katkısı, hastanelerde etkin performans yönetiminin ön göstergelerinin belirlenmesidir. Bu konu sayesinde hastaneler çok fazla maliyete katlanmadan performans artırıcı aksiyonlar alabilirler. Ayrıca bu çalışmanın ana metodolojik özgünlüğü, TOP-DEMATEL adıyla yeni bir karar verme modeli önerilmiş olmasıdır. Etkili tedarik zinciri, hastanelerin performansını etkileyen en iyi faktör olarak bulunmuştur. Ayrıca ileri teknoloji de bu çerçevede önemli bir rol oynamaktadır. Ancak nitelikli eleman kriteri son sırada yer almaktadır.

Sonuç:

Tedarik ağı, sağlık kurumları için tıbbi malzeme, ilaç, ekipman ve diğer kaynakların sağlanması sürecini ifade eder. Bu kaynaklar, hizmeti sunmak için ihtiyaç duyulduğu için hastanelerin performansı için büyük önem taşımaktadır.

References

1
Eti S, Dinçer H, Gökalp Y, Yüksel S, Kararoğlu D. Identifying key issues to handle the inflation problem in the healthcare industry caused by energy prices: An evaluation with decision-making models. Managing Inflation and Supply Chain Disruptions in the Global Economy 2023;162-78.
2
Song K, Hu D, Tong Y, Yue X. Remaining life prediction of lithium-ion batteries based on health management: A review. Journal of Energy Storage 2023;57:106193.
3
Shi X, Li J, Wang F, Dinçer H, Yüksel S. A hybrid decision-making approach for the service and financial-based measurement of universal health coverage for the E7 economies. Int J Environ Res Public Health 2019;16:3295.
4
Khan A, Azad MM, Sohail M, Kim HS. A review of physics-based models in prognostics and health management of laminated composite structures. Int J of Precis Eng and Manuf-Green Tech 2023;1-21.
5
Zhang C, Li R, Xia Y, Yuan Y, Dinçer H, Yüksel S. Analysis of environmental activities for developing public health investments and policies: A comparative study with structure equation and interval type 2 fuzzy hybrid models. Int J Environ Res Public Health 2020;17:1977.
6
Dincer H, Gökalp Y, Eti S, Yüksel S. Strategy Generation for Minimizing Health Risks to Obtain Economic Development with Pedroni Panel Cointegration Analysis and AHP Model. In Social Sector Development and Governance 2023;161-76.
7
Wanke P, Azad MAK, Antunes J, Tan Y, Pimenta R. Endogenous and exogenous performance sources in Asian Banking: A hybrid stochastic Multi-Criteria Decision-Making approach based on sign decomposition and transfer entropy. Expert Systems with Applications 2023;225:120180.
8
Jiang S, Shi H, Lin W, Liu HC. A large group linguistic Z-DEMATEL approach for identifying key performance indicators in hospital performance management. Applied Soft Computing 2020;86:105900.
9
Kennedy DM, Anastos CT, Genau Jr MC. Improving healthcare service quality through performance management. Leadersh Health Serv (Bradf Engl) 2019;32:477-92.
10
Abdullah A, Ahmad S, Athar MA, Rajpoot, N, Talib F. Healthcare performance management using integrated FUCOM‐MARCOS approach: The case of India. Int J Health Plann Manage 2022;37:2635-68.
11
Kedikli E, Yılmaz E, Demir Uslu Y, Yiğit P. Developing strategies for hospitals from patient and personnel perspective with DEMATEL. In Management Strategies to Survive in a Competitive Environment: How to Improve Company Performance 2021;1-15.
12
Cristofaro CL, Ventura M, Reina R, Gentile T. Measuring healthcare performance in digitalization era an empirical analysis. In Do Machines Dream of Electric Workers? Understanding the Impact of Digital Technologies on Organizations and Innovation 2022;137-47.
13
Noto G, Prenestini A, Cosenz F, Barresi G. Tackling wicked problems in performance management and governance of public health: an empirical analysis of COVID-19 vaccination strategies. International Journal of Public Sector Management 2023;36:130-51.
14
Peixoto MGM, Musetti MA, de Mendonça MCA. Performance management in hospital organizations from the perspective of Principal Component Analysis and Data Envelopment Analysis: the case of Federal University Hospitals in Brazil. Computers & Industrial Engineering 2020;15:106873.
15
Yokota E, Senoo T, Takahashi S, Goto Y. A Survey of Performance Management Systems in Japanese Companies. In Frontiers of Japanese Management Control Systems: Theoretical Ideas and Empirical Evidence 2023;43-57.
16
Zadeh LA. Fuzzy sets. Information and Control 1965;8:338-53.
17
Özdemirci F, Yüksel S, Dinçer H, Eti S. An assessment of alternative social banking systems using T-Spherical fuzzy TOP-DEMATEL approach. Decision Analytics Journal 2023;100184.
18
Eti S, Dinçer H, Yüksel S, Gökalp Y. Analysis of the suitability of the solar panels for hospitals: A new fuzzy decision-making model proposal with the T-spherical TOP-DEMATEL method. Journal of Intelligent & Fuzzy Systems 2022;1-13 (Preprint).
19
Dinçer H, Eti S, Aksoy T, Yüksel S, Hacioglu U, Mikhaylov A, Muyeen SM. Analysis of environmental impact for material production investments using a novel soft computing methodology. IEEE Access 2023;37987-8001.
20
Çiftçi H, Özkan Ö. Chapter I The Effects of the COVID-19 Pandemic on the Health Sector from the Global and Turkish Perspectives Harun Çiftçi & Özcan Özkan. Challenges and Opportunities of the Ambiguous Post-Pandemic World 2023;1.
21
Korhonen T, Sillanpää V, Jääskeläinen A. Anchor practices that guide horizontal performance measurement: an interventionist case study of the financial aspect of new technology implementation in healthcare. Journal of Management and Governance 2023;1-30.
22
Çınaroğlu S. Sağlıkta Performans Ölçümünden Stratejik Performans Yönetimine: Path Projesi Örneği. Verimlilik Dergisi 2017;1:75-92.
23
McDermott AM, Conway E, Cafferkey K, Bosak J, Flood PC. Performance management in context: formative cross-functional performance monitoring for improvement and the mediating role of relational coordination in hospitals. The International Journal of Human Resource Management 2019;30:436-56.
24
AIppolito, A., Sorrentino, M., Capalbo, F., & Di Pietro, A. (2023). How technological innovations in performance measurement systems overcome management challenges in healthcare. International Journal of Productivity and Performance Management, 72(9), 2584-2604.
25
Lu H, Wang R, Huang Z. Application of data mining in performance management of public hospitals. Mobile Information Systems 2022;1-10.
26
Kim T, Johansen M, Zhu L. The effects of managers’ purposeful performance information use on American hospital performance. Public Performance & Management Review 2020;43:129-56.
27
Vaz D, Qureshi W, Temouri Y, Pereira V. Unbundling the complexity of performance management of healthcare providers in the Middle East. IIM Ranchi Journal of Management Studies. 2023.
28
Zheng Y, Wang W, Liu W, Mingers J. A performance management framework for the public sector: The balanced stakeholder model. Journal of the Operational Research Society 2019;70:568-80.
29
Kokko P, Laihonen H. Performance management and hybridization of healthcare-case of the accountable care organization. Journal of Public Budgeting, Accounting & Financial Management 2022;34:411-29.
2024 ©️ Galenos Publishing House