Data visualization is a powerful tool in clinical research for effectively communicating insights and findings derived from complex data. It enables researchers to present information in a visually engaging and accessible manner, facilitating better understanding and interpretation. Here are some key considerations and best practices for effectively using data visualization in clinical research

1. Welcome
Data Visualization in clinical research : communication
insights effectively.
Katare Pratik Prakash
M.Pharmacy
CSRPL_STD_IND_HYD_ONL/
CSL_095/052023
10/18/2022
www.clinosol.com | follow us on social media
@clinosolresearch
1

2. Index
• INTRODUCTION
• Tools used
• Advantages
• Disadvantages
10/18/2022
www.clinosol.com | follow us on social media
@clinosolresearch
2

3. Data visualization
Data visualization is the graphical representation of information
and data. By using visual elements like charts, graphs,and maps,
data visualization tools provide an accessible way to see and
understand trends, outliers, and patterns in data. Additionally, it
provides an excellent way for employees or business owners to
present data to non-technical audiences without confusion.
In the world of Big Data, data visualization tools and
technologies are essential to analyze massive amounts of
information and make data-driven decisions.
10/18/2022
www.clinosol.com | follow us on social media
@clinosolresearch
3

4. Data visualization in the healthcare industry is the representation of complex
medical stats in a digestible graphical format.
It allows users to easily obtain,
• Qualitative insight
• Changes
• Pattern
• Trends
10/18/2022
www.clinosol.com | follow us on social media
@clinosolresearch
4

5. Use of data visualization in clinical
research:-
Data visualization helps in better management and monitoring of clinical
trials than the other method.
They also improve
• Outlier detection
• Screening
• Enrollment tracking
• Safety review
10/18/2022
www.clinosol.com | follow us on social media
@clinosolresearch
5

6. Healthcare data visualization:-
• Data visualization in the healthcare industry is no longer an
option—it’s a must-have for modern medical organizations.
• The global market of healthcare data analytics is estimated to
grow 3.5 times in just six years, from $11.5 billion in 2019 to
$40.8 billion in 2025.
10/18/2022
www.clinosol.com | follow us on social media
@clinosolresearch
6

7. .
While many factors influence the boom in data analytics
and visualization tools, the most recent and obvious one
is the pandemic. The COVID-19 outbreak drove the
health tech adoption, which naturally increased the
volumes of data available in digital format. To bring
relevant information into focus, healthcare organizations
implement tools for data integration and visualization.
10/18/2022
www.clinosol.com | follow us on social media
@clinosolresearch
7

8. How data visualization improve
health care?
Data analysis goes hand in hand with data preparation, data modeling,
and data visualization. Today, healthcare analytics is becoming more
advanced through the use of artificial intelligence (AI) and machine
learning technologies. The adoption of visualization tools is a must-have
for those organizations that want to benefit from data analysis to the
full.
• Benefits of data visualization in clinical research
1. improved patient care
2. Trends and pattern recognition
3. Errors and fraud detection
10/18/2022
www.clinosol.com | follow us on social media
@clinosolresearch
8

9. Data visualization tools used in
clinical research :-
• Tableau
It is one of the leading platforms for modern business intelligence.
St. Joseph Health, Pfizer, and Michigan Medicineuse this platform
for data analytics and visualization.
• Domo
The platform allows healthcare organizations to combine real-time
data into intuitive and customizable dashboards.
10/18/2022
www.clinosol.com | follow us on social media
@clinosolresearch
9

10. Advantages and disadvantages
1. A superior method
2. Simple sharing of data
3. Precise investigation
4. Deals investigation
5. Discovering relations between occasions
6. Adjustment of information
10/18/2022
www.clinosol.com | follow us on social media
@clinosolresearch
10

11. Disadvantages
1. It gives assessment not exactness
2. One-sided
10/18/2022
www.clinosol.com | follow us on social media
@clinosolresearch
11

12. References
• https://www.analyticsvidhya.com/blog/2021/10/a-comprehensive-guide-on-
data-visualization-in-python/
• https://avania.vtradeshowbooth.com/wp-content/uploads/2021/08/Avania_WP-
Data-Visualization_8-12-21_VF-Digital.pdf
• https://www.avaniaclinical.com/solutions/specialized-expertise/data-
visualization/
10/18/2022
www.clinosol.com | follow us on social media
@clinosolresearch
12

13. Thank You!
www.clinosol.com
(India | Canada)
9121151622/623/624
info@clinosol.com
10/18/2022
www.clinosol.com | follow us on social media
@clinosolresearch
13