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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18 Aug 2026
How a clinical-reasoning framework can help improve smaller AI models' performance
Researchers built a clinical framework to study the reasoning of smaller open-source AI models to make them more accessible and cost-effective, especially in rural areas. Continue Reading
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08 Apr 2026
Epic clinical decision support tools show modest performance
Epic's integrated clinical decision support tools, including its sepsis and readmission risk models, show limited achievement in real-world settings, according to a meta-analysis. Continue Reading
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03 Feb 2026
How a multi-agent AI system can help identify cognitive decline
Mass General Brigham researchers have created an open-source, multi-agent AI system that analyzes clinical notes to identify early cognitive decline without extra clinical work. Continue Reading
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30 Oct 2025
How one hospital combated ER overcrowding with predictive analytics
Data-informed throughput optimization created the equivalent capacity of a 30-bed unit, according to the hospital president. Continue Reading
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26 Sep 2025
Hospital adoption of EHR-integrated predictive AI spikes
Hospital predictive AI adoption rose to 71% in 2024, with most using AI models developed by their EHR vendors for billing and patient risk identification, federal data reveals. Continue Reading
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Definition
12 Sep 2025
What is a clinical trial?
Clinical trials, also known as clinical research studies, are carefully designed investigations involving volunteer human participants to evaluate the safety, efficacy and outcomes of medical or surgical interventions. Continue Reading
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09 Sep 2025
Strive Health snags $550M for AI-driven kidney care
Strive Health plans to use the funds from the Series D round to support strategic partnerships, expand its services, and enhance its AI-driven kidney care model. Continue Reading
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Definition
09 Sep 2025
What is health IT (health information technology)?
Health IT (health information technology) is the area of IT involving the design, development, creation, use and maintenance of information systems for the healthcare industry. Continue Reading
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Definition
11 Aug 2025
What is clinical informatics?
Clinical informatics is a specialized field of study in healthcare that focuses on using information technology and data analytics to improve patient care and administrative workflows in clinical settings. Continue Reading
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Definition
24 Jul 2025
What is health informatics?
Health informatics is the practice of applying insight gained from acquiring and analyzing health and biomedical data to help clinicians make better healthcare-related decisions and improve patient care. Continue Reading
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10 Jul 2025
Machine learning unlocks insights into physician fatigue
A machine learning model identified physician fatigue through clinical notes, linking it to worse clinical decision-making in a new study. Continue Reading
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Definition
23 Jun 2025
What is Cerner Corp.?
Cerner Corp., now known as Oracle Health following its 2022 acquisition by Oracle, is a prominent health IT company based in North Kansas City, Missouri. Continue Reading
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News
30 May 2025
Machine learning model predicts pediatric adverse events
New research reveals that a machine learning model outperformed other risk stratification models to accurately identify high-risk pediatric patients across hospital units. Continue Reading
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Definition
19 May 2025
What is a smart hospital?
Smart hospitals use advanced technologies such as AI, automation, internet of things (IoT) and robotics to improve efficiency and the quality of patient care. Continue Reading
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Definition
13 May 2025
What is biomedical informatics?
Biomedical informatics is the branch of health informatics that uses data to help clinicians, researchers and scientists improve human health and provide healthcare. Continue Reading
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News
07 May 2025
AI model boosts delirium detection rate in hospitals
Research shows that using a new AI model resulted in a four-fold increase in the rate of delirium detection among hospitalized patients, enhancing delirium treatment. Continue Reading
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24 Apr 2025
AI algorithm determines probability of heart condition
New research shows that calibrating the scores of an AI algorithm can help clinicians identify and triage high-risk hypertrophic cardiomyopathy patients. Continue Reading
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18 Apr 2025
13 AI healthcare companies to watch in 2025
These AI healthcare companies are using generative AI to enhance efficiency, improve patient care and innovate diagnostics. We also explore types of AI in the healthcare space. Continue Reading
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11 Apr 2025
10 top AI tools in healthcare for 2025
AI tools are transforming healthcare by enhancing efficiency and care quality through predictive analytics and tailored diagnostics. Explore some of the major tools on the market. Continue Reading
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31 Mar 2025
Arguing the pros and cons of AI in healthcare
Clinical diagnostics, workload reduction and predictive analytics are among AI's advantages in healthcare, but concerns persist about patient privacy, ethics and medical errors. Continue Reading
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26 Mar 2025
How predictive analytics could improve SDOH screening
As healthcare organizations seek to improve health equity, predictive analytics using robust EHR data could help flag patients likely to have future health-related social needs. Continue Reading
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13 Mar 2025
Study: ML mortality prediction misses 66% of severe injuries
When given test cases with different injury levels, ML mortality prediction models gave inconsistent risk scores, overestimating moderate injuries and underestimating severe ones. Continue Reading
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News
21 Feb 2025
Electronic frailty index predicts risk of adverse outcomes
Mass General Brigham's electronic frailty index analyzes EHR data to assess patient frailty, helping predict adverse outcomes and improve care for older adults. Continue Reading
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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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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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News
11 Jul 2024
Deep learning shows promise in predicting osteoporosis risk
A deep neural network significantly outperformed existing machine learning and regression models for osteoporosis risk prediction in a cohort of over 8,000 participants. Continue Reading
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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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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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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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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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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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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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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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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