Predictive Analytics is already being leveraged in several sectors and has helped businesses gain efficiency. In the field of healthcare, Predictive Analytics promises to improve healthcare by forecasting the likelihood of an event enabling healthcare providers to take pre-emptive action where possible. Predictive Analytics uses statistical analysis and other techniques to search through reams of patient data and analyses it to predict outcomes for individual patients.

1. Predictive Analytics in
Healthcare

2. Predictive Analytics promises to improve healthcare by
forecasting the likelihood of an event,
healthcare providers to take pre-emptive
action where possible.

3. Predictive Analytics uses statistical analysis and other
techniques to search through reams of patient data..
and analyses it to predict outcomes for
individual patients..

4. Data from past treatment outcomes as well as recent
medical research data aid predictive analytics tools in
arriving at the inferences..

5. There are two major differentiators between Predictive
Analytics and traditional statistics:
A. Predictions are made at an individual level and not at a
group level
B. Statistical tools rely on “bell curves” and their
recommendations go by where the largest sample lies

6. Key Data Drivers for Predictive Analytics:
A. Medical and Patient Data

7. B. Big Data Analytics

8. C. Mobile/m-Health

9. D. Healthcare Professional Digital Workflow

10. Advantages of Predictive Analytics include:
A. Increases Diagnostics Accuracy

11. B. Focus on Preventive Medicine

12. C. Customisation for Individual Patients

13. D. Beneficial for Pharma Companies

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