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Real-time Data Display System of the Korean Neonatal Network.

Lee BS, Moon WH, Park EA - J. Korean Med. Sci. (2015)

Bottom Line: 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.Further collaboration is needed to upgrade the DDS to a more sophisticated analytical system and to provide a more user-friendly interface.

View Article: PubMed Central - PubMed

Affiliation: Department of Pediatrics, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.

ABSTRACT
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 follow-up 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.

No MeSH data available.


Related in: MedlinePlus

A representative chart showing the rankings of a fictitious center the hospitals in terms of number of annual admissions. Logged-in users from "hospital A" can see that their hospital is ranked second. The rankings of the other KNN hospitals are concealed and are displayed in descending order as H001, H002, etc.
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Figure 2: A representative chart showing the rankings of a fictitious center the hospitals in terms of number of annual admissions. Logged-in users from "hospital A" can see that their hospital is ranked second. The rankings of the other KNN hospitals are concealed and are displayed in descending order as H001, H002, etc.

Mentions: For the DDS, we selected 90 "in-hospital" data variables and 54 "follow-up" variables from the entire set of variables in the e-CRF of the KNN (Table 1). In particular, the hospital ranking of 11 principal outcome variables are displayed on the first page of data statistics' window. The ranked data are displayed as vertical bar chart with shoulder numbers that depict a specific value (stacked numbers or average percent), and each center can only identify their own ranking while being blinded to those of other participating centers (Fig. 2). As for other variables, participating hospitals can compare their performance in terms of each specific variable to those of the entire KNN cohort in the same window.


Real-time Data Display System of the Korean Neonatal Network.

Lee BS, Moon WH, Park EA - J. Korean Med. Sci. (2015)

A representative chart showing the rankings of a fictitious center the hospitals in terms of number of annual admissions. Logged-in users from "hospital A" can see that their hospital is ranked second. The rankings of the other KNN hospitals are concealed and are displayed in descending order as H001, H002, etc.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4641057&req=5

Figure 2: A representative chart showing the rankings of a fictitious center the hospitals in terms of number of annual admissions. Logged-in users from "hospital A" can see that their hospital is ranked second. The rankings of the other KNN hospitals are concealed and are displayed in descending order as H001, H002, etc.
Mentions: For the DDS, we selected 90 "in-hospital" data variables and 54 "follow-up" variables from the entire set of variables in the e-CRF of the KNN (Table 1). In particular, the hospital ranking of 11 principal outcome variables are displayed on the first page of data statistics' window. The ranked data are displayed as vertical bar chart with shoulder numbers that depict a specific value (stacked numbers or average percent), and each center can only identify their own ranking while being blinded to those of other participating centers (Fig. 2). As for other variables, participating hospitals can compare their performance in terms of each specific variable to those of the entire KNN cohort in the same window.

Bottom Line: 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.Further collaboration is needed to upgrade the DDS to a more sophisticated analytical system and to provide a more user-friendly interface.

View Article: PubMed Central - PubMed

Affiliation: Department of Pediatrics, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.

ABSTRACT
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 follow-up 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.

No MeSH data available.


Related in: MedlinePlus