HRS Archives - Mediformatica

VA terminated vendor contracts that could have helped in EHR modernization

March 21, 2025Healthcare IT news

The U.S. Department of Veterans Affairs eliminated several electronic health record modernization contracts amid a larger cutback earlier this month. Some canceled work under the Veterans Health Administration’s Integrated Healthcare Transformation program could directly…

Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical records

November 10, 2024November 10, 2024npj Digital Medicine

This study demonstrates that adverse events (AEs) extracted using natural language processing (NLP) from clinical texts reflect the known frequencies of AEs associated with anticancer drugs. Using data from 44,502 cancer patients at a…

Health Equity: Searching for a New Angle

May 10, 2023May 11, 2023Healthcare IT Today

In Disney’s Big Hero 6, the protagonist, Hiro Hamada, will get stuck in a problem after working on it for a while because he’s becoming too set in his way of thinking. And he is…

Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings

Development and prospective implementation of a large language model based system for early sepsis prediction

FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting

Social determinants of health extraction from clinical notes across institutions using large language models

Tag: HRS

VA terminated vendor contracts that could have helped in EHR modernization

Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical records

Health Equity: Searching for a New Angle

Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings

Development and prospective implementation of a large language model based system for early sepsis prediction

Social determinants of health extraction from clinical notes across institutions using large language models

FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting

The DRAGON benchmark for clinical NLP

Hybrid machine learning for real-time prediction of edema trajectory in large middle cerebral artery stroke

Experience of Using Electronic Inhaler Monitoring Devices for Patients With Chronic Obstructive Pulmonary Disease or Asthma: Systematic Review of Qualitative Studies

Datavant acquires Aetion to expand RWE platform

Sprinter scores $55M for home healthcare offering

New app streamlines integration of medical data for dental practices

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