Real-time data display system of the Korean neonatal network

Byong Sop Lee, Wi Hwan Moon, Eun Ae Park

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Real-time data reporting in clinical research networks can provide network members through interim analyses of the registered data, which can facilitate further studies and quality improvement activities. The aim of this report was to describe the building process of the data display system (DDS) of the Korean Neonatal Network (KNN) and its basic structure. After member verification at the KNN member's site, users can choose a variable of interest that is listed in the in-hospital data statistics (for 90 variables) or in the followup data statistics (for 54 variables). The statistical results of the outcome variables are displayed on the HyperText Markup Language 5-based chart graphs and tables. Participating hospitals can compare their performance to those of KNN as a whole and identify the trends over time. Ranking of each participating hospital is also displayed in terms of key outcome variables such as mortality and major neonatal morbidities with the names of other centers blinded. The most powerful function of the DDS is the ability to perform 'conditional filtering' which allows users to exclusively review the records of interest. Further collaboration is needed to upgrade the DDS to a more sophisticated analytical system and to provide a more user-friendly interface.

Original languageEnglish
Pages (from-to)S12-S18
JournalJournal of Korean Medical Science
StatePublished - 2015

Bibliographical note

Funding Information:
This research was supported by a fund (2013-E63008-01) by Research of Korea Centers for Disease Control and Prevention


  • Data display system
  • Korean neonatal network
  • Quality improvement


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