The Relationship Between the Covid-19 Pandemic and the Health Informatics Help Desk Workload

Mustafa Mahir Ülgü

Makale detayları

The Relationship Between the Covid-19 Pandemic and the Health Informatics Help Desk Workload

Yazarlar:

Mustafa Mahir Ülgü

Yayıncı:

Ankara Hacı Bayram Veli University

Ana Başlıklar:

Kamu Yönetimi

Dergi:

Ankara Hacı Bayram Veli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi Vol.25 Issue 2, pp.855-878

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001298009

pISSN:

2667-405X

Anahtar kelimeler:

Özet:

 In order to embody how the existing information systems were affected by the COVID-19 pandemic and to evaluate the workload it brought; two groups were discussed in terms of the definition of e-Government service. In the first group, the Central Doctor Appointment System CDAS and e-Nabız Personal Health Record System in the category of Government to Citizen G2C are selected. In the second group, Electronic Mail System e-Mail and Electronic Document Management System EDMS, which are in the Government to Government G2G category, are selected. The data are evaluated over a total of 48 months, including the pre-pandemic 1 March 2018  28 February 2020 and the pandemic period 1 April 2020 - 31 March 2022. The monthly variation in the number of end users and the variation in the number of applications submitted to the current Help Desk System HDS with regard to this change, and the interaction of these changes with the rate of positive COVID-19 PCR test results are analyzed. There was no statistically significant difference between the pre-pandemic period and the pandemic period in terms of the median number of requests about e-Nabız, CDAS, and EDMS to HDS p0.05, a significant difference was found for e-Mail p0,05, the number of requests received during the pandemic period is significantly higher. While there is no statistically significant relationship between the number of requests for e-Nabız, e-Mail, and EDMS submitted to HDS and the rate of COVID-19 PCR positive test results and the number of new users in the period p0.05, there is a positive significant relationship between the total number of users. Mann Whitney U Test was used in this analysis. While there is no statistically significant relationship between the number of CDAS requests and the COVID-19 test result positivity rate p0.05, a statistically significant relationship is found between the number of new users during the period and the total number of users at the end of the period. Spearman Correlation Test was used in this analysis.

 In order to embody how the existing information systems were affected by the COVID-19 pandemic and to evaluate the workload it brought; two groups were discussed in terms of the definition of e-Government service. In the first group, the Central Doctor Appointment System CDAS and e-Nabız Personal Health Record System in the category of Government to Citizen G2C are selected. In the second group, Electronic Mail System e-Mail and Electronic Document Management System EDMS, which are in the Government to Government G2G category, are selected. The data are evaluated over a total of 48 months, including the pre-pandemic 1 March 2018  28 February 2020 and the pandemic period 1 April 2020 - 31 March 2022. The monthly variation in the number of end users and the variation in the number of applications submitted to the current Help Desk System HDS with regard to this change, and the interaction of these changes with the rate of positive COVID-19 PCR test results are analyzed. There was no statistically significant difference between the pre-pandemic period and the pandemic period in terms of the median number of requests about e-Nabız, CDAS, and EDMS to HDS p0.05, a significant difference was found for e-Mail p0,05, the number of requests received during the pandemic period is significantly higher. While there is no statistically significant relationship between the number of requests for e-Nabız, e-Mail, and EDMS submitted to HDS and the rate of COVID-19 PCR positive test results and the number of new users in the period p0.05, there is a positive significant relationship between the total number of users. Mann Whitney U Test was used in this analysis. While there is no statistically significant relationship between the number of CDAS requests and the COVID-19 test result positivity rate p0.05, a statistically significant relationship is found between the number of new users during the period and the total number of users at the end of the period. Spearman Correlation Test was used in this analysis.

 In order to embody how the existing information systems were affected by the COVID-19 pandemic and to evaluate the workload it brought; two groups were discussed in terms of the definition of e-Government service. In the first group, the Central Doctor Appointment System CDAS and e-Nabız Personal Health Record System in the category of Government to Citizen G2C are selected. In the second group, Electronic Mail System e-Mail and Electronic Document Management System EDMS, which are in the Government to Government G2G category, are selected. The data are evaluated over a total of 48 months, including the pre-pandemic 1 March 2018  28 February 2020 and the pandemic period 1 April 2020 - 31 March 2022. The monthly variation in the number of end users and the variation in the number of applications submitted to the current Help Desk System HDS with regard to this change, and the interaction of these changes with the rate of positive COVID-19 PCR test results are analyzed. There was no statistically significant difference between the pre-pandemic period and the pandemic period in terms of the median number of requests about e-Nabız, CDAS, and EDMS to HDS p0.05, a significant difference was found for e-Mail p0,05, the number of requests received during the pandemic period is significantly higher. While there is no statistically significant relationship between the number of requests for e-Nabız, e-Mail, and EDMS submitted to HDS and the rate of COVID-19 PCR positive test results and the number of new users in the period p0.05, there is a positive significant relationship between the total number of users. Mann Whitney U Test was used in this analysis. While there is no statistically significant relationship between the number of CDAS requests and the COVID-19 test result positivity rate p0.05, a statistically significant relationship is found between the number of new users during the period and the total number of users at the end of the period. Spearman Correlation Test was used in this analysis.

 Covid-19 pandemisinde mevcut bilgi sistemlerinin ne kadar etkilendiğini somutlaştırabilmek ve getirdiği iş yükünü değerlendirebilmek için e-Devlet hizmeti tanımına göre iki grup ele alınmıştır. Birinci grupta Devletten Vatandaşa G2C kategorisindeki Merkezi Hekim Randevu Sistemi MHRS ve e-Nabız Kişisel Sağlık Kaydı Sistemi e-Nabız seçilmiştir. İkinci grupta Devletten Devlete G2G kategorisinde bulunan Elektronik Posta Sistemi e-Posta ve Elektronik Belge Yönetim Sistemi EBYS seçilmiştir. Veriler, pandemi öncesi 1 Mart 2018  28 Şubat 2020 ve pandemi dönemi 1 Nisan 2020- 31 Mart 2022 olmak üzere toplam 48 aylık dönem üzerinden değerlendirilmiştir. Son kullanıcı sayılarındaki her bir aylık dönem sonu son kullanıcı sayılarındaki değişim, bu değişime bağlı olarak mevcut Yardım Masası Sistemi YMSye ulaşan başvuru sayılarındaki değişim, bu değişimlerin Covid-19 PCR test sayılarına göre test sonuçlarındaki pozitiflik oranı ile etkileşimi analiz edilmiştir. YMSye e-Nabız, MHRS ve EBYS hakkında gelen talep sayıları medyanı bakımından pandemi dönemi öncesi ile pandemi dönemi arasında istatistiksel olarak anlamlı bir fark bulunmamış p0,05, e-posta için anlamlı bir farklılık bulunmuştur p0,05, pandemi döneminde gelen talep sayısı anlamlı derecede daha yüksektir. YMSye gelen e-Nabız, e-Posta ve EBYS hakkındaki talep sayıları ile Covid-19 test sonucu pozitiflik oranı ve dönem içerisinde gelen yeni kullanıcı sayısı arasında istatistiksel olarak anlamlı bir ilişki bulunmamakta iken p0,05, toplam kullanıcı sayısı arasında pozitif yönde anlamlı bir ilişki bulunmaktadır. Bu analizde Mann Whitney U testi kullanılmıştır. MHRS talep sayısı ile Covid-19 test sonucu pozitiflik oranı arasında istatistiksel olarak anlamlı bir ilişki bulunmamakta p0,05 iken, dönem içerisinde gelen yeni kullanıcı sayısı ve dönem sonu toplam kullanıcı sayıları arasında istatistiksel olarak anlamlı bir ilişki bulunmuştur. Bu analizde Spearman korelasyon testi kullanılmıştır.

Makale detayları

The Relationship Between the Covid-19 Pandemic and the Health Informatics Help Desk Workload

Yazarlar:

Mustafa Mahir Ülgü

Yayıncı:

Ankara Hacı Bayram Veli University

Ana Başlıklar:

Kamu Yönetimi

Dergi:

Ankara Hacı Bayram Veli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi Vol.25 Issue 2, pp.855-878

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001298009

pISSN:

2667-405X

COVİD-19

Information System

Help DeskCovid-19

Bilgi Sistemi

Yardım Masası

Sayı

Makale detayları

The Relationship Between the Covid-19 Pandemic and the Health Informatics Help Desk Workload

Yazarlar: Mustafa Mahir Ülgü

Yayıncı: Ankara Hacı Bayram Veli University

Ana Başlıklar: Kamu Yönetimi

Dergi: Ankara Hacı Bayram Veli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi Vol.25 Issue 2, pp.855-878

Belge Tipi: Makale

Yayın Tarihi: 9/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001298009

pISSN: 2667-405X

COVİD-19

Information System

Help DeskCovid-19

Bilgi Sistemi

Yardım Masası

Sayı

Yazarlar:

Mustafa Mahir Ülgü

Yayıncı:

Ankara Hacı Bayram Veli University

Ana Başlıklar:

Kamu Yönetimi

Dergi:

Ankara Hacı Bayram Veli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi Vol.25 Issue 2, pp.855-878

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001298009

pISSN:

2667-405X