EHR UI Archives - Mediformatica

Wellsheet, Wolters Kluwer Integrates AI-Powered Clinical Workflows with UpToDate

September 24, 2024September 25, 2024HIT Consultant

What You Should Know:

– Wellsheet, an innovative provider of AI-powered clinical workflows, announced a collaboration with Wolters Kluwer Health to integrate evidence-based content from UpToDate, their leading clinical decision support solution (CDS), into Wellsheet’s…

To Drive Value, EHRs Need to Actually be Usable | Healthcare IT Today

October 10, 2023October 11, 2023Healthcare IT Today

The following is a guest article by Khalid Al-Maskari, Founder and CEO of Health Information Management Systems (HiMS)
EHRs are ubiquitous because they’re useful – but how useful are they really, and to whom?
The truth…

Uncovering Diagnostic Information in the EHR with Regard | Healthcare IT Today

August 16, 2023August 16, 2023Healthcare IT Today

When doctors first see output from Regard’s AI analytics, they often say, “This is what I imagined the electronic medical record would be like when I heard about it for the first time.” Regard…

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: EHR UI

Wellsheet, Wolters Kluwer Integrates AI-Powered Clinical Workflows with UpToDate

To Drive Value, EHRs Need to Actually be Usable | Healthcare IT Today

Uncovering Diagnostic Information in the EHR with Regard | Healthcare IT Today

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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