عنوان انگلیسی مقاله:
Interactive visualization and analysis of antihypertensive prescriptions using National Health Insurance claims data
ترجمه فارسی عنوان مقاله:
بصری سازی تعاملی و تحلیل نسخه های ضد فشار خون با استفاده از ادعاهای بیمه ملی بهداشت و درمان
Sciencedirect - Elsevier - International Journal of Medical Informatics, Accepted manuscript: doi:10:1016/j:ijmedinf:2018:05:003
Inseok Ko, Hyejung Chang
Interactive visualization is an important approach to help to understand and to
explain large amounts of data, particularly in light of decision support. Although data
visualization have been introduced in healthcare and clinical fields, analytics has often been
performed by data experts, focused on specific subjects, or insufficient statistical evidence.
Therefore, this study suggests the procedures of effective and efficient visualization of big
data for general healthcare researchers. Specifically, the procedure includes conventional
regression analyses followed by interactive data visualization for prescription patterns of
antihypertensive drugs. Methods: As a large-scale nationally representative prescription data, the Korean National
Health Insurance claims data were collected. Conventional descriptive and regression
analyses were conducted for therapy decision and prescription patterns using the software
R. Then, based on the statistically significant findings, dashboards were developed to
visualize interactively the patterns of prescriptions using the software Tableau.
Results: Major characteristics (genders, age groups, healthcare institutions, and
comorbidities) explained the differences in therapy and the average number of drugs
prescribed as well as differences among most commonly prescribed drug classes. Two
interactive dashboards were created for visualizing prescription patterns with incorporation of
horizontal bar charts, packed bubble charts, treemaps, filled maps, radar charts, box and
whisker plots, and filters.
Conclusion: In the current big data era, interactive data visualization offers substantial
opportunities to have comprehensive view, extract insights and evidence from the flood of
vast amounts of data. This study’s interactive visualizations can provide healthcare
professionals insight into prescription patterns and demonstrate the value of creating
interactive dashboards to support informed and timely decision-making. Exploring big data
using interactive visualization is expected to deliver many future benefits in healthcare fields.
Keywords: Prescriptions; National Health Insurance Claims database; Hypertension; Interactive Visualization