No abstract

With the rapid development of technology in recent years, it is observed that there are agile changes in many sectors. With these changes, technology comes to the focus of our lives and helps to take more solid steps by facilitating processes everywhere. With the evolution of the sectors in this direction, concepts such as e-commerce, e-health and data mining have come to the fore, and many studies have been put forward within the framework of these terms. It has been observed that the digital transformation that has begun to take place in the field of healthcare has led to significant changes in this field. The effects of technological advances, which have begun to integrate into health services, such as increasing work efficiency, increasing service quality and creating a safe service environment have been determined. In this review study, various digitalization studies carried out in the field of health between 2012-2022 were examined and summarized, also, the prominent concepts in the studies were classified. In addition, it is aimed to determine the popular methods that researchers include in their studies and to examine the tools that support the application within the scope of the maturity assessment models. At this point, the study is divided into two main headings: (1) Digitalization in Health, (2) Digital Maturity Assessment Models in Health Systems. As a result of the study, it was aimed to contribute to the existing literature by observing the deficiencies in the literature.

In 2019, Coronavirus manifested itself in China and caused numerous deaths. Vaccines developed against COVID-19 are seen as a way to end or mitigate the pandemic. Many debates arose about the vaccination of children through social media. The main target of this study is to present a model that reveals the perception of parents about getting their children vaccinated, extracts the main themes, and determines the emotional changes. With the support of the Octoparse web scraping tool, data was extracted from Twitter when the epidemic turned into a global problem and the discussions about vaccines intensified. Then, using the topic modeling and sentiment analysis techniques under the umbrella of (Natural Language Processing) NLP, main, sub-topics about parents' attitudes were revealed, also vaccine perceptions were detected by performing sentiment analysis. As a result, four topic clusters were determined: “the opinion of the need for the first dose of vaccination according to age”, “the effectiveness of the first dose of vaccine”, “the opinion of the need for vaccination of school-age children”, and “the need for vaccination arising from the protection of unvaccinated children with only mask protection”. With sentiment analysis, it was seen that positive emotions were dominant, and three emotions, namely trust, expectation, and fear, came to the fore. In conclusion, it has been determined that families trust the states and their announcements about getting their children vaccinated, they anticipate new vaccines to be developed, but they are also afraid of the risks that the vaccine will bring to their children.

Son yıllarda, sağlık sistemlerinde, hastaların artan beklenti ve ihtiyaçları doğrultusunda hızla gelişmekte olan bağımsız ve tarafsız performans değerlendirme kavramı, denetlenebilir, hasta odaklı, hesap verebilirliği fazla olan, verimli, iyileştirilebilir, sürdürülebilir ve erişilebilir sistemler meydana getirebilmek açısından büyük bir önem taşımaktadır. Performans değerlendirme sürecinin ana aktörlerinden biri, belirli performans göstergelerinin tanımlanabileceği ve sağlık sisteminde gereken alanlarda düzenli olarak kullanılabilecek bir yapının sunulması olmakla beraber, bu sürece netlik kazandırmak amacıyla performansın bütünsel bir görünümünü oluşturabilmek için konuyu odak noktası alan araştırmacılar tarafından, sağlık sisteminin çeşitli yapıtaşlarında farklı araç ve yöntemler kullanılarak çalışmalara devam edilmektedir. Sağlık hizmetlerinde performans değerlendirme, her ne kadar zor ve karmaşık bir süreç olsa da sistemin iyileştirilebilmesi-geliştirilebilmesi adına kritik bir önem taşımaktadır. Bu derleme çalışmasında, sağlık alanında 2011-2021 yılları arasında gerçekleştirilen çeşitli performans değerlendirme çalışmalarında kullanılan araç ve yöntemler incelenerek özetlenmiş, çalışmalarda öne çıkan kavramlar sınıflandırılmıştır. Çalışmanın sonucunda literatürdeki eksikliklerin gözlemlenmesiyle, gerçekleştirilen çalışmanın, mevcut literatüre katkı sağlaması amaçlanmıştır.