Predictive analytics in healthcare
Predictive analytics in healthcare uses statistical models and machine learning to analyze historical and current data. The technology forecasts potential future outcomes and trends in patient health to advance early disease detection, risk assessment and personalized treatment planning by enhancing preventive care, clinical decision-making and resource allocation.
Top Stories
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Feature
04 Feb 2025
Utilizing predictive AI to enhance cancer immunotherapy
A new predictive AI tool uses routine blood tests to determine cancer patients' responses to immunotherapy, offering a scalable, affordable alternative to genomic data. Continue Reading
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News
25 Sep 2024
AI could improve prostate cancer risk stratification
A deep learning tool could identify intermediate-risk prostate cancer patients more likely to experience rapid disease progression and help inform personalized treatment plans. Continue Reading
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News
23 Sep 2024
ML helps tailor AHA-PREVENT risk stratification tool
Using open source machine learning tools, researchers recalibrated the AHA-PREVENT calculator to improve cardiovascular risk assessment in local patient populations. Continue Reading
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Feature
19 Aug 2024
Investigating how ambient sensing can improve OR efficiency
Houston Methodist has successfully piloted ambient clinical intelligence and AI tools to bolster efficiency and cost savings within its operating rooms. Continue Reading
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Video
18 Jul 2024
An explanation of advanced vs. predictive analytics
Predictive analytics is a type of advanced analytics. Learn more in this video. Continue Reading
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Feature
10 Apr 2024
10 high-value use cases for predictive analytics in healthcare
Predictive analytics can support population health management, financial success, and better outcomes across the value-based care continuum. Continue Reading
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Feature
06 Feb 2024
What Are the Benefits of Predictive Analytics in Healthcare?
Predictive analytics can enhance healthcare by supporting clinical decision-making, guiding population health management, and advancing value-based care. Continue Reading
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Answer
25 Sep 2023
How Can Predictive Analytics Help ACOs Boost Value-Based Care Delivery?
Experts discuss how predictive modeling and an analytics partnership helped one accountable care organization advance its goal of “keeping patients healthy at home.” Continue Reading
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Feature
23 Aug 2023
Data Analytics in Healthcare: Defining the Most Common Terms
As data analytics becomes essential for healthcare organizations, stakeholders need to understand the basic vocabulary related to the process. Continue Reading
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Feature
14 Aug 2023
Breaking Down the 4 Types of Healthcare Big Data Analytics
An effective big data strategy requires healthcare stakeholders to define their top priorities in descriptive, diagnostic, predictive, and prescriptive analytics. Continue Reading
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Answer
05 Jul 2023
How Elevance Health, MVP Health Care Are Leveraging Data Analytics
The two payers share how they leverage data analytics, predictive modeling, and data quality frameworks to improve outcomes for members. Continue Reading
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Answer
18 Oct 2022
How Children's of Alabama Uses Real-Time Analytics to Support ICU Liberation
Children’s of Alabama is tackling patient deterioration, addressing extubation readiness, and leveraging code event reviews using real-time analytics in its cardiovascular ICU. Continue Reading
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Feature
07 Feb 2020
Putting the Pieces Together for a Successful Predictive Analytics Strategy
Good data, solid use cases, and a culture of transformation form the basis of a successful predictive analytics strategy in healthcare. Continue Reading