PREDICTIVE ANALYTICS FOR PATIENT OUTCOMES
Course 5406
3 Days
$1,800
This course focuses on using data-driven techniques to anticipate patient outcomes and improve healthcare delivery. You’ll learn how predictive analytics can help healthcare providers make informed decisions, enhance patient care, and optimize resource allocation.
Who Should Take This Course?
This course is ideal for healthcare professionals, data analysts, and anyone interested in leveraging data to improve patient care. If you want to explore how predictive analytics can transform healthcare delivery and enhance patient outcomes, this course is for you.
Course Format:
Lectures, facilitator presentations, guided discussions, practical hands-on exercises (both individual and large-group), collaborative discussions, and action planning.
Payment Information: We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to customerservice@hazadvisors.com
Learning Objectives
- Understand the principles of predictive analytics and its applications in healthcare.
- Learn to build and evaluate predictive models using healthcare data.
- Explore common techniques for predicting patient outcomes.
- Gain insights into how predictive analytics can improve clinical decision-making and patient care.
- Develop skills to implement predictive solutions in healthcare settings.
Course Topics
Introduction to Predictive Analytics
- Overview of predictive analytics and its significance in healthcare.
- Types of healthcare data used for predictive modeling.
Data Preparation and Feature Engineering
- Collecting and preprocessing data for predictive analysis.
- Creating and selecting features to improve model accuracy.
Building Predictive Models
- Common algorithms for predicting patient outcomes: regression, classification, and time-series analysis.
- Tools and libraries for building predictive models in Python.
Evaluating Model Performance
- Metrics for assessing model accuracy and reliability.
- Techniques for optimizing model performance.
Applications of Predictive Analytics in Healthcare
- Case studies of predictive analytics in disease diagnosis and treatment planning.
- Using predictive models to enhance patient care and operational efficiency.
Ethics and Considerations
- Addressing ethical and privacy concerns in predictive analytics.
- Ensuring transparency and fairness in predictive models.
Prerequisites
To make the most out of this course, you should have:
Class Schedule
We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to customerservice@hazadvisors.com
**Rates below are for each participant.
August 27 - August 29, 2024
9:00 AM – 5:00 PM EST
Predictive Analytics, Virtual, EST
$1,800
Class ID: 5406
September 25 - September 27, 2024
9:00 AM – 5:00 PM EST
Predictive Analytics, Virtual, EST
$1,800
Class ID: 5406
October 14 - October 16, 2024
9:00 AM – 5:00 PM EST
Predictive Analytics, Virtual, EST
$1,800
Class ID: 5406
November 18 - November 20, 2024
9:00 AM – 5:00 PM EST
Predictive Analytics, Virtual, EST
$1,800
Class ID: 5406
January 8 - January 10, 2025
9:00 AM – 5:00 PM EST
Predictive Analytics, Virtual, EST
$1,800
Class ID: 5406
February 18 - February 20, 2025
9:00 AM – 5:00 PM EST
Predictive Analytics, Virtual, EST
$1,800
Class ID: 5406
March 11 - March 13, 2025
9:00 AM – 5:00 PM EST
Predictive Analytics, Virtual, EST
$1,800
Class ID: 5406
