The future of healthcare is becoming dependent on our ability to integrate Machine Learning and Artificial Intelligence into our organizations. But it is not enough to recognize the opportunities of AI; we as leaders in the healthcare industry have to first determine the best use for these applications ensuring that we focus our investment on solving problems that impact the bottom line.
Throughout these four modules we will examine the use of decision support, journey mapping, predictive analytics, and embedding Machine Learning and Artificial Intelligence into the healthcare industry. By the end of this course you will be able to:
1. Determine the factors involved in decision support that can improve business performance across the provider/payer ecosystem.
2. Identify opportunities for business applications in healthcare by applying journey mapping and pain point analysis in a real world context.
3. Identify differences in methods and techniques in order to appropriately apply to pain points using case studies.
4. Critically assess the opportunities to leverage decision support in adapting to trends in the industry.
Artificial Intelligence and Machine Learning (AI/ML), Emerging Technologies, Advanced Analytics, Healthcare Industry Knowledge, Process Analysis, Business Process Automation, Predictive Analytics, Business Analytics, Data-Driven Decision-Making, Business Intelligence, Decision Support Systems, Analytics, Customer experience strategy (CX), Predictive Modeling, Applied Machine Learning, Health Informatics
Reviews
4.4 (82 ratings)
5 stars
62.19%
4 stars
26.82%
3 stars
3.65%
2 stars
1.21%
1 star
6.09%
NN
Jan 28, 2020
Craig was too good in explaining the models with good examples
SB
Jul 10, 2020
Excellent course for technology professionals in Healthcare.
From the lesson
Advanced Topics in Operationalization
Now that we know the importance of decision support and predictive modeling, we are going to take that one step further. Not only do we need to predict, but more importantly, we need to prescribe. It is not enough to just implement alerts and reminders - we need to offer guidance and recommendations for healthcare professionals. Let鈥檚 take a look at how analytics can improve the patient experience and their overall health status.