Role of Business Analyst in health care industry

1. Click to edit Master title style
1
Business
Analytics in
Health Sector
B Y
M e l v i n Vi n c e n t

2. Click to edit Master title style
2
Introduction
2
• Business Analytics has a widespread usage in health sector
• Today, business analytics technology is helping healthcare organizations
regulate existing data to improve clinical and business operations. In
addition, it is also helping to individualize services within existing
communities.
• Today, business analytics technology is helping healthcare organizations
regulate existing data to improve clinical and business operations. In
addition, it is also helping to individualize services within existing
communities.

3. Click to edit Master title style
3
Predictive Analysis
3
• Predictive analytics uses technology and statistical techniques to
search through enormous amounts of information to analyze it and
thus predict outcomes for individual patients
• A huge benefit of predictive analytics is that it helps physicians with
individual patients.
• By providing better diagnoses and treatment targeted to the
individual, more positive outcomes are reached and fewer resources
are used – including the physician’s time as well as that of the staff.

4. Click to edit Master title style
4
Advantages
4
• Analytics are changing roles in the healthcare industry
• Analytics has changed the way the healthcare world operates.
• With the ability to transform the way medicine has been practiced for
years, analytics have resulted in improved health, reduction in
diseases, and more satisfied patients and physicians

5. Click to edit Master title style
5
Role of Data Analysist in health care
5
• Health care analytics is a term used to describe the healthcare
analysis activities that can be undertaken as a result
of data collected from four areas within healthcare.
• claims and cost data, pharmaceutical and research and
development (R&D) data, clinical data (collected from electronic
medical records (EHRs)), and patient behavior and sentiment data
(patient behaviors and preferences, (retail purchases e.g. data
captured in running stores)

6. Click to edit Master title style
6
Thank You