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
-
Feature
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
-
News
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
-
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
-
News
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
-
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
-
Definition
08 Sep 2025
What is a self-organizing network (SON) and do you need one?
A self-organizing network (SON) is an intelligent infrastructure designed to simplify and accelerate the planning, configuration, management, optimization and healing of mobile radio access networks (RANs). Continue Reading
-
Definition
26 Aug 2025
What are predictive networks and how do they work?
Predictive networks are intelligent IT network systems that use artificial intelligence (AI), machine learning (ML) and real-time analytics to anticipate and proactively address network issues before they occur. Continue Reading
-
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
-
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
-
Definition
21 Jul 2025
What are oversampling and undersampling?
Oversampling and undersampling are techniques used in data analytics and statistics to modify unequal data classes to create balanced data sets. Continue Reading
-
News
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
-
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
-
Definition
02 Jun 2025
What is descriptive analytics?
Descriptive analytics is a type of data analytics that looks at past data to give an account of what has happened. Continue Reading
-
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
-
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
-
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
-
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
-
News
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
-
Feature
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
-
Feature
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
-
Feature
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
-
Feature
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
-
Tip
21 Mar 2025
How can quantum computers be used in healthcare?
Commercial products are few, and wide availability is probably a few years away, but lab research and prototypes show progress in drug design, medical imaging and genetic modeling. Continue Reading
-
News
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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