Health IT Analytics and Population Health News

Big Data Analytics, Precision Medicine Top Priorities in 2020

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Health systems are increasing their investments in technology that will boost big data analytics strategies and precision medicine, but limited resources and lack of reimbursement for these tools are...

How DNA Testing Will Accelerate Precision Medicine, Preventive Care

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In May 2018, Geisinger Health System announced that it would soon include genomic sequencing in routine clinical care to advance precision medicine and improve patient outcomes. The goal of the...

Machine Learning Microscope Adapts Lighting to Improve Diagnosis

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Engineers at Duke University have developed a prototype microscope that adapts its lighting patterns while teaching itself the optimal settings needed to complete a given diagnostic task. In the...

Geisinger Advances in CMS Artificial Intelligence Challenge

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CMS has selected Geisinger and EarlySign, a machine learning company, for their joint proposal in the agency’s Artificial Intelligence Health Outcomes Challenge. The partnering organizations are...

NC Medicaid Data Reveals Need for Increased Opioid Misuse Treatment

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North Carolina has implemented several measures that have combated the opioid epidemic across the state, but more work could be done to increase the rate at which people with opioid use disorder (OUD)...

Mount Sinai Builds Supercomputer for Precision Medicine, Genomics

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Mount Sinai Health System has received a $2 million grant from the US Department of Health and Human Services to develop a precision medicine and genomics supercomputer. The second “big omics...

Capturing Social Determinants of Health to Effect Lasting Change

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Providers and payers have come to the realization that effecting system change requires a more comprehensive understanding of the patient beyond the clinical encounter. Social determinants of health...

Genetic Variant Could Boost Precision Medicine for Alzheimer’s

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Researchers at Massachusetts General Hospital (MGH) have discovered that certain genetic variants may help protect against Alzheimer’s disease. Their findings could hold important implications...

NIH Using Artificial Intelligence to Evaluate Stem Cell Quality

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NIH researchers used artificial intelligence to evaluate stem cell-derived “patches” of retinal pigment epithelium (RPE) tissue for implanting into the eyes of patients with age-related...

Amazon, Deloitte Partner to Address Healthcare Data Challenges

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Amazon Web Services (AWS) is partnering with Deloitte to help customers securely find, subscribe to, and use third-party data in the cloud using AWS Data Exchange, a new service that can help address...

Machine Learning Predicts Life Expectancy in Heart Failure Patients

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A team at the University of California San Diego (UC San Diego) has developed a machine learning algorithm that was able to predict life expectancy in heart failure patients with 88 percent...

Predictive Analytics Model Detects Sepsis in Pediatric ED Patients

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A predictive analytics algorithm was able to accurately identify children at high risk of developing septic shock in the emergency department (ED), according to a study published in The Journal of...

Genomic Data Boosts Psychosis Risk Prediction for High-Risk Patients

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Using a polygenic risk score based on data from genome-wide association studies (GWAS) improves psychosis risk prediction in patients meeting clinical high-risk criteria, according to a study published...

Natural Language Processing Improves Care for Liver Failure Patients

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Researchers at Johns Hopkins Medicine have developed natural language processing (NLP) tools that can diagnose the early and subtle signs of language-associated cognitive impairments in patients with...

UVM Health Network Integrates Genomics with Routine Clinical Care

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The University of Vermont (UVM) Health Network has announced a pilot program introducing genomic DNA testing to routine clinical care, providing individuals with valuable information to guide their...

Machine Learning Tool Accurately Diagnoses Esophageal Cancer

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Machine learning methods could accurately identify cancerous esophagus tissue on microscopy images without the time-consuming manual data input that is required for current methods, according to a...

Method Finds Patterns in Patients with Multiple Chronic Conditions

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Researchers at Mount Sinai have proposed an innovative way to identify patterns in the cost and prevalence of multiple chronic conditions. The team examined Medicaid claims data for 190,000 patients...

Deep Learning Could Improve Cohort Selection for Clinical Trials

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Deep learning models showed promising results in learning key features for clinical trial cohort selection, which could significantly reduce time and costs, according to a study published in JAMIA. In...

Cleveland Clinic Develops Risk Calculator for Diabetes Management

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A new risk calculator developed by researchers at the Cleveland Clinic can show patients with type 2 diabetes their risks of developing major health complications over the next ten years. Weight-loss...

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