EHR Analytics

AI Tool Predicts Blood Clot Risk in Hospitalized Pediatric Patients

October 24, 2023 - Researchers at Vanderbilt University Medical Center (VUMC) have developed an artificial intelligence (AI) tool capable of accurately identifying the risk of blood clots in pediatric patients, but found that clinicians often hesitated to follow the tool’s recommendations. Blood clots are rare in pediatric patients, but patients who do develop...

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The Clinical Promise and Ethical Pitfalls of Electronic Phenotyping

by Shania Kennedy

As information technology (IT) methods for disease surveillance, predictive analytics, and clinical decision support become more advanced, big data mining will be crucial to ensure tools use large, high-quality datasets. Data mining can...

The Healthcare Data Cycle: Generation, Collection, and Processing

by Shania Kennedy

As data analytics become more necessary to advance population and public health, healthcare stakeholders may find themselves increasingly working on analytics projects. The outcomes of these projects depend on many factors, but healthcare...

Breaking Down 3 Types of Healthcare Natural Language Processing

by Shania Kennedy

Healthcare generates massive amounts of data as patients move along their care journeys, often in the form of notes written by clinicians and stored in EHRs. These data are valuable to improve health outcomes but are often difficult to...

Machine Learning Predicts Esophageal, Stomach Cancers Using EHR Data

by Shania Kennedy

A machine learning (ML) model can automatically predict esophageal adenocarcinoma (EAC) and gastric cardia adenocarcinoma (GCA) three years before a formal diagnosis, according to a study published...

Experts: Medical Community Must Help Shape Use of LLMs in Healthcare

by Shania Kennedy

In a special communication published this month in JAMA, researchers discussed the creation and adoption of large language models (LLMs) in healthcare, asserting that the process must be actively...

NLP May Help Flag SDOH Needs for Alzheimer’s, Dementia Patients

by Shania Kennedy

Researchers have developed a natural language processing (NLP) algorithm to identify social determinants of health (SDOH) for Alzheimer's disease and related dementias (ADRD) patients using...

Data Utilization, Investment Lagging Among Hospitals and Health Systems

by Shania Kennedy

A survey conducted by the Healthcare Information and Management Systems Society (HIMSS) and healthcare data analytics company Arcadia about the current state of healthcare analytics platforms...

Models Classify Osteoarthritis Subgroups Based on Pain, Disease Severity

by Shania Kennedy

In a recent study published in BMC Medical Research Methodology, researchers developed multiple algorithms capable of identifying important osteoarthritis (OA) patient subgroups, such as those...

Oracle, Deloitte Announce Expanded Digital Health Transformation Offerings

by Shania Kennedy

Deloitte and Oracle announced expanded technology offerings focused on supporting patient-driven, digitally-enabled healthcare delivery this week at HIMSS 2023.  The collaboration expands...

AI Tools Predict Alzheimer’s Up to 5 Years Before Diagnosis

by Shania Kennedy

A study published last week in Alzheimer's & Dementia details how researchers from the University of Florida (UF) Health and UF College of Medicine developed artificial intelligence (AI) tools...

Partnership Aims to Improve Early Cognitive Decline Detection with NLP

by Shania Kennedy

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ML Model Predicts Prematurity Complications in Newborns Using EMR Data

by Shania Kennedy

In a study published this week in Science Translational Medicine, researchers from the Stanford School of Medicine revealed that a machine-learning (ML) algorithm could predict prematurity...

Using a Patient-Reported Outcome Tool to Make EHR Data Actionable

by Shania Kennedy

EHRs play a critical role in guiding care coordination and delivery, but interoperability challenges can prevent EHR data from being used effectively to improve patient care. Addressing these issues is a major focus for healthcare...

Predictive Analytics Tools Accurately Detect Pediatric Autism

by Shania Kennedy

A study published last week in JAMA Network Open describes how a set of EHR data-based predictive analytics tools can detect early autism using patient data collected before 1 year of age. According...

Analytics-Based Strategies Show Potential for Infectious Disease Testing

by Mark Melchionna

Published in the American Association for Clinical Chemistry's The Journal of Applied Laboratory Medicine, recent research describes two analytics-based strategies that were effective in helping...

New Machine-Learning Model Identifies Long COVID Subtypes

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Researchers from the University of California, Berkeley have developed machine-learning (ML) software that uses entries in EHRs to shed light on long COVID, including finding common symptoms and...

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Predictive Analytics Use EHR Data for Hospital Readmissions

by Shania Kennedy

In a new study published last week in JAMA Network Open, researchers found that a suite of predictive analytics tools leveraging readily available EHR data can accurately identify all-cause 30-day...

Natural Language Processing Tool Predicts Severe Maternal Morbidity

by Shania Kennedy

A new study published this month in JAMA Network Open found that an automated natural language processing (NLP) tool relying on clinical notes and EHR data achieved similar predictive performance to a...

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