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DATA SCIENCE IN
HEALTHCARE
www.rootfacts.com
KEY POINTS
What is Data Science in Healthcare Industry?
What are the use of data science in healthcare industry?
Goals that Data Science helps in Healthcare
How Our Healthcare Data Scientists Help In Managing Data Of
Your Healthcare Industry?
Responsibilities in Healthcare
WHAT IS DATA SCIENCE IN
HEALTHCARE INDUSTRY?
In the Healthcare industry, major data is
left unstructured and when it comes to
analysis, it becomes difficult to analyze
heterogeneous data. Data Science
professionals or data scientists can make
this task easy and help in taking out
meaningful and relevant knowledge
through amorphous data.
THE USE OF DATA SCIENCE
IN HEALTHCARE INDUSTRY
The use of data science in the
healthcare industry is enormous that
even helps healthcare professionals find
out any defects in the human body.
The use of data science in the healthcare industry is enormous
that even helps healthcare professionals find out any defects in
the human body.
Data Science uses its advanced technology and tools to help
healthcare practitioners in facilitating the process and boosting
productivity in diagnosis and therapy. This develops and
improves the workflow of healthcare systems.
GOALS THAT DATA SCIENCE HELPS IN HEALTHCARE
To streamline the workflow of
the healthcare system
To decrease the chance of
treatment disappointment
To provide relevant therapy on
time
To evade extreme emergencies
cases because of the non-
availability of doctors
To decrease the waiting time of
patients.
HOW OUR HEALTHCARE DATA SCIENTISTS HELP IN
MANAGING DATA OF YOUR HEALTHCARE INDUSTRY?
The role of a data scientist is to make
all necessary steps in implementing
the best techniques of data science
and integrating them into the
software.
RESPONSIBILITIES IN HEALTHCARE
The following responsibilities in Healthcare
Accumulating data from patients
Exploring the requirements of hospitals
Structuring and sorting the data for helpful use
Conducting Data Analytics using diverse technology tools
Executing algorithms on the data
to extract understandings
Building predictive data models
with the development team
Contact Us
https://www.rootfacts.com/services/data-
science-services/healthcare/
contact@rootfacts.com
THANK YOU

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Data Science in Healthcare.pdf

  • 2. KEY POINTS What is Data Science in Healthcare Industry? What are the use of data science in healthcare industry? Goals that Data Science helps in Healthcare How Our Healthcare Data Scientists Help In Managing Data Of Your Healthcare Industry? Responsibilities in Healthcare
  • 3. WHAT IS DATA SCIENCE IN HEALTHCARE INDUSTRY? In the Healthcare industry, major data is left unstructured and when it comes to analysis, it becomes difficult to analyze heterogeneous data. Data Science professionals or data scientists can make this task easy and help in taking out meaningful and relevant knowledge through amorphous data.
  • 4. THE USE OF DATA SCIENCE IN HEALTHCARE INDUSTRY The use of data science in the healthcare industry is enormous that even helps healthcare professionals find out any defects in the human body.
  • 5. The use of data science in the healthcare industry is enormous that even helps healthcare professionals find out any defects in the human body. Data Science uses its advanced technology and tools to help healthcare practitioners in facilitating the process and boosting productivity in diagnosis and therapy. This develops and improves the workflow of healthcare systems.
  • 6. GOALS THAT DATA SCIENCE HELPS IN HEALTHCARE To streamline the workflow of the healthcare system To decrease the chance of treatment disappointment
  • 7. To provide relevant therapy on time To evade extreme emergencies cases because of the non- availability of doctors To decrease the waiting time of patients.
  • 8. HOW OUR HEALTHCARE DATA SCIENTISTS HELP IN MANAGING DATA OF YOUR HEALTHCARE INDUSTRY? The role of a data scientist is to make all necessary steps in implementing the best techniques of data science and integrating them into the software.
  • 9. RESPONSIBILITIES IN HEALTHCARE The following responsibilities in Healthcare Accumulating data from patients Exploring the requirements of hospitals Structuring and sorting the data for helpful use Conducting Data Analytics using diverse technology tools
  • 10. Executing algorithms on the data to extract understandings Building predictive data models with the development team