Healthcare Analytics, Population Health Management, Healthcare Big Data

EHR Data Analytics

Machine Learning, EHR Data Predict High-Risk Surgical Patients

December 12, 2018 - Utilizing machine learning tools that leverage electronic health record (EHR) data from a single organization could help providers predict patients at high risk of surgical complications more accurately than traditional approaches, a study published in PLOS Medicine found. Complications arise in 15 percent of all US surgical procedures performed, the researchers noted, with high-risk...


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Deep Learning Spots Adverse Drug Events in Unstructured EHR Data

by Jessica Kent

Deep learning and natural language processing techniques can significantly improve the detection of adverse drug events (ADEs) in unstructured electronic health record (EHR) data, a study published in JMIR Medical Informatics...

Amazon Takes on Unstructured EHR Data with Machine Learning, NLP

by Jennifer Bresnick

Amazon is taking another big step into the healthcare industry by announcing a new machine learning service that can extract meaningful information from unstructured EHR data and free-text clinical notes. Amazon Comprehend Medical will...

Predicting Pressure Injuries with Machine Learning, EHR Data

by Jessica Kent

Fueled by EHR data, machine learning tools have shown potential in improving several areas of care delivery, including sepsis prediction, chronic disease management, and cancer detection. As providers increasingly experience financial...

EHR Data Sharing Identifies Hypertension Care Disparities

by Jessica Kent

Health systems participating in an electronic health record (EHR) data sharing collaborative were able to identify care disparities among hypertension patients and could enable organizations to share best practices for quality...

Predictive Analytics, EHR Big Data Reduce Sepsis Mortality by 18%

by Jessica Kent

At North Oaks Health System in Hammond, Louisiana, researchers have used big data from the Epic electronic health record (EHR) to develop a predictive analytics tool that has reduced sepsis mortality by 18 percent. According to the CDC,...

$1.2M AHRQ Grant Helps Montefiore Build AI CDS Tool for Lung Failure

by Jessica Kent

Montefiore Health System has received a $1.2 million grant from the Agency for Healthcare Research and Quality (AHRQ) to develop an artificial intelligence (AI) tool that will help clinicians identify a rare form of lung failure and offer...

Challenges Persist in Training Deep Learning Models on EHR Data

by Jessica Kent

Deep learning models have demonstrated early potential in improving healthcare analytics, but researchers still have to overcome significant challenges when using electronic health record (EHR) data to develop these models, a study...

Predictive Analytics, EHR Data Identify Appointment No-Shows

by Jessica Kent

Using EHR data, organizations may be able to create predictive analytics models that accurately identify the risk of a patient appointment no-show, according to a new study published in JAMIA. Researchers from Duke University were able to...

EMRAM Forecast Puts Hospitals Decades Away from Analytics Maturity

by Jennifer Bresnick

Healthcare organizations may have decades to go before the majority of hospitals and health systems reach widespread data analytics maturity, according to a new study from the Journal of Medical Internet Research. Based on current trends,...

EHR Data Fuels Accurate Predictive Analytics for Suicide Risk

by Jessica Kent

Combining electronic health record (EHR) data and results from a depression questionnaire can support a more accurate predictive analytics model that predicts suicide risk in the 90 days following a mental health visit, according to a new...

Machine Learning, EHR Big Data Analytics Predict Sepsis

by Jessica Kent

Researchers at Carnegie Mellon University’s (CMU) Heinz College are applying a machine learning algorithm to big data in the electronic health record (EHR) to more accurately predict sepsis, one of the most dangerous and insidious...

Google Uses Deep Learning, EHR Big Data to Predict Mortality

by Jessica Kent

A deep learning approach that incorporates big data from electronic health records (EHRs) was able to predict inpatient mortality, unexpected readmissions, and long length of stay more accurately than traditional predictive models,...

CMS Data-Driven Strategy Fuels Patient Data Access, Exchange

by Jessica Kent

CMS Administrator Seema Verma has announced the organization’s new Data-Driven Patient Care Strategy, which will enhance patient-centered care by improving patient data access and exchange. The strategy builds on CMS’s efforts...

ACP Urges Social Determinants Data Collection, Education

by Jessica Kent

To address the care disparities associated with the social determinants of health, healthcare stakeholders must adjust data collection, medical education, and public policy, the American College of Physicians (ACP) has argued. Despite...

Natural Language Processing May Boost Patient EHR Understanding

by Jessica Kent

Using a natural language processing (NLP) tool to link medical terms to simple definitions could improve patient EHR comprehension and the patient portal experience, according to a study published in JAMIA. Chen et al. developed NoteAid,...

Yale, Epic Partner to Boost Healthcare with Big Data Analytics

by Jessica Kent

Yale New Haven Hospital (YNHH) has announced a partnership with Epic Systems to launch the Capacity Command Center (CCC) that will combine data analytics and the physical co-location of key operational services to enhance patient...

EHR Timestamp Data Can Help Monitor, Improve Clinical Workflows

by Jessica Kent

Organizations can use EHR timestamp data to improve clinical workflows by approximating the time it takes to complete common tasks. The data may be able to help providers with refining scheduling methods, analyzing EHR use, and quantifying...

40% of CIOs to Deploy a Healthcare Analytics Platform in 2018

by Jessica Kent

Forty percent of hospital CIOs plan to make launching of enterprise healthcare analytics platforms a top priority in 2018, according to a Spok survey of CHIME members. The survey results indicate that CIOs continue to face widespread...

Will Big Data Analytics Rescue Lackluster Electronic Health Records?

by Jennifer Bresnick

Big data analytics are “extremely important” for helping healthcare organizations see a return on their electronic health records (EHRs) investments, according to 83 percent of stakeholders participating in a recent Health...

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