Healthcare Analytics Course | IABAC Certification

The Healthcare Analytics Course prepares students to make better healthcare decisions by teaching them data-driven skills. It teaches experts in data analysis, modeling for prediction, and AI applications to maximize patient outcomes, reduce costs, and improve efficiency of operations in the healthcare industry.

1. Healthcare
Analytics
Course
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2. What is Healthcare Analytics?
The application of data analytic
techniques in healthcare
Helps in taking decisions,
improving the health of patients,
and lowering expenses.
This includes analytics that is
descriptive, predictive, and
prescriptive.
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3. Importance of Healthcare Analytics
Improves patient care and
treatment plans.
Reduces operational
inefficiencies.
Helps with disease prevention
and early diagnosis.
Encourages healthcare policy
and decision-making.
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4. Types of Healthcare Analytics
Descriptive Analytics: What
happened? (e.g., patient patterns,
hospital readmission rates).
Predictive Analytics: What Might
Happen? (For example, disease
prediction models).
Prescriptive Analytics: What should
we do? (e.g., treatment
recommendations).
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5. Electronic Health Records (EHR).
Medical imaging, and wearable
gadgets.
Databases for insurance claims and
billing.
Public health databases.
Data Sources in Healthcare
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6. Machine Learning & Artificial
Intelligence
Big- data platforms (Hadoop and
Spark)
Business Intelligence (Tableau and
Power BI)
Cloud Computing & IoT
Technologies Used in Healthcare
Analytics
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7. Data privacy and security issues
(HIPAA compliance).
Integration of several data sources.
High implementation expenses.
Need for skilled professionals.
Challenges in Healthcare Analytics
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8. Example: AI forecasting patient
deterioration in the ICU.
Data from vital signs, test findings,
and medical history are used for
prediction.
Results: faster interventions and
lower death rates.
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Case Study: Predictive Analytics in Use

9. Growth of AI-powered diagnostics.
Personalized medicine with
genomes.
Blockchain enables secure data
sharing and improves telemedicine
through real-time analytics.
Future of Healthcare Analytics
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10. Thank you
Visit: iabac.org