Sağlık İşletmeleri Yönetimi Covid-19 Salgın Döneminde Biyomedikal Arama Motorları Verilerinin Kıyaslama Analizi

Duygu HIDIROĞLU

Makale detayları

Sağlık İşletmeleri Yönetimi Covid-19 Salgın Döneminde Biyomedikal Arama Motorları Verilerinin Kıyaslama Analizi

Yazarlar:

Duygu HIDIROĞLU

Yayıncı:

Sırnak University

Ana Başlıklar:

Sosyal Bilimler

Dergi:

Journal of Economics and Administrative Approaches 2020 Vol.2 Issue 1, pp.17-30

Belge Tipi:

Makale

Yayın Tarihi:

6/2020

Belge Dili:

Türkçe

Document ID (Org No.):

2000719934

Sıklık:

İki Yıllık

eISSN:

2687-6159

Özet:

 


The benchmarking method, one of the most popular health management practices in recent years, refers to the renewal of internal and external processes by following the successful practices of the benchmark group of healthcare service firms, which generally consist of other healthcare service firms with superior performance. Benchmarking is a continuous activity and not a one-off project. In comparison, internal processes are adjusted, performance is monitored, new comparisons are made with the best performers available and subsequent changes are investigated. Thus, these steps sustain the company or organization to the highest level. Benchmarking increases its popularity in both private and public sector organizations day by day. However, “Is Benchmarking always desired positive results achieved?” is still the subject of debate in many stages. 

The Coronavirus epidemic, which has begun spreading throughout the world at the beginning of 2020, threatens both health and lives of thousands of people. The most important effect of this epidemic on human health is that it is a severe and rapidly transmitted respiratory disease. The Coronavirus epidemic has greatly influenced health sector manufacturers and public health systems in terms of research and development facilities to overcome Coronavirus epidemic such as vaccine invention, machinery manufacturing, etc.. The importance of the healthcare system biomedical search engines for researches emerged more in this epidemic period. The biomedical search engines half-readable Coronavirus epidemic dataset can be obtained and this dataset paves the way for individuals and organizations that volunteer in order to find a solution of Coronavirus epidemic by using research technologies in the field of healthcare.

In this study, the concept of Benchmarking in the health sector will be discussed. The dataset on the biomedical search engine www.medicare.gov, which is for the health sector and is used effectively in America, can combine 24 non-numerical features of the hospital dataset in various ways, and can suggest 522 different combinations and is able to discuss how hospitals can use the Benchmarking techniques. The methodology used in this study is largely based on objective measures, and more than 80% of hospital rankings are based on this data. In the ranking, survey responses of more than 125,000 doctors across the country were also taken into account. The study also took into account the biomedical data for 2018-2019 and the number of patients treated in hospitals. The methodology allows public enforcement on hospitals that hesitate to even treat low-income patients or to accept high-risk cases transferred from other hospitals, and even reject these patients. In this study, the results of the analysis demonstrate the benchmarking practices regarding the national and regional hospitals in the American health sector based on various criteria. This study aim illustrates how to use Benchmarking method and what are the advantages and disadvantages of this method. Further, the purpose of the study is to discuss Benchmarking practices in health sector and how could Benchmarking be used efficiently on biomedical search engines. It is aimed that the evaluations made in the study will both contribute to the literature and help to overcome the problems in the health sector caused by the coronavirus epidemic and facilitate access to coronavirus solutions. 

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Makale detayları

Sağlık İşletmeleri Yönetimi Covid-19 Salgın Döneminde Biyomedikal Arama Motorları Verilerinin Kıyaslama Analizi

Yazarlar: Duygu HIDIROĞLU

Yayıncı: Sırnak University

Ana Başlıklar: Sosyal Bilimler

Dergi: Journal of Economics and Administrative Approaches 2020 Vol.2 Issue 1, pp.17-30

Belge Tipi: Makale

Yayın Tarihi: 6/2020

Belge Dili: Türkçe

Document ID (Org No.): 2000719934

Sıklık: İki Yıllık

eISSN: 2687-6159

Sayı

Yazarlar:

Duygu HIDIROĞLU

Yayıncı:

Sırnak University

Ana Başlıklar:

Sosyal Bilimler

Dergi:

Journal of Economics and Administrative Approaches 2020 Vol.2 Issue 1, pp.17-30

Belge Tipi:

Makale

Yayın Tarihi:

6/2020

Belge Dili:

Türkçe

Document ID (Org No.):

2000719934

Sıklık:

İki Yıllık

eISSN:

2687-6159