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Linguamatics

6 Executive Health Data Predictions to Watch in 2023

by Fred Pennic 01/09/2023 Leave a Comment

6 Executive Health Data Predictions to Watch in 2023

Kevin Agatstein, CEO at Kaid Health In 2023 I predict that unstructured medical data, which makes up the majority of a patient’s chart, will become too valuable to ignore by both providers and payers. Driven in part by the growth of Medicare Advantage and oncology, both of which require the data within medical notes rather than just claims and labs data, organizations will start to use their unstructured EMR data in entirely new ways. Rob Cohen, CEO at Bamboo Health In today’s
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30 Executives Share Top Healthcare Predictions & Trends to Watch in 2021

by Fred Pennic 12/30/2020 Leave a Comment

30 Executives Share Top Healthcare Predictions & Trends to Watch in 2021

As we close out the year, we asked several healthcare executives to share their predictions and trends for 2021. Kimberly Powell, Vice President & General Manager, NVIDIA Healthcare Federated Learning: The clinical community will increase their use of federated learning approaches to build robust AI models across various institutions, geographies, patient demographics, and medical scanners. The sensitivity and selectivity of these models are outperforming AI models
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What Health IT Thought Leaders Say HIMSS20 Would Have Focused On—If It Had Happened

by Jasmine Pennic 03/13/2020 Leave a Comment

Coronavirus Forces Cancellation of 2020 HIMSS Conference: 6 Things to Know

What You Need to Know: Health IT thought leaders share what HIMSS20 would have focused On—if It had happened. - Hot topics include health IT to address COVID-19; artificial intelligence; EHR interoperability and usability; and more. –Kuldeep Singh Rajput, CEO of Biofourmis, Boston, Mass., which provides digital therapeutics that power personalized predictive care “Remote monitoring platforms and clinical-grade wearables combined with artificial intelligence [AI]-based
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Why SDoH Data Is Key For Developing Population Health Strategies

by Elizabeth Marshall, MD, MBA, Director of Clinical Analytics at Linguamatics, an IQVIA company 10/16/2019 Leave a Comment

Simplifying Population Health Management and the Identification of Social Determinants with NLP

The healthcare industry has come a long way in its appreciation of non-clinical factors impacting a patient’s overall well-being, such as social determinants of health (SDoH). However, the industry has made less progress when it comes to gathering information on individual patients’ social determinants, analyzing the details and – most importantly – translating the findings into actionable information that healthcare organizations (HCOs) can use to improve population health management. One
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Atrius Health to Deploy Linguamatics NLP Platform to Support Value-based Care

by HITC Staff 02/02/2018 Leave a Comment

Atrius Health to Deploy Linguamatics NLP Platform to Support Value-based Care

Atrius Health, the Northeast’s largest nonprofit independent multi-specialty medical group announced it will implement Linguamatics, a Natural Language Processing (NLP) enterprise platform to identify and extract critical clinical information hidden within unstructured patient data.As a long-term Accountable Care Organization (ACO) for Medicare, commercial, and Medicaid patients, Atrius Health requires ready access to clinical notes and data to address reporting requirements and advance quality
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Can NLP Text-Mining Transform Drug Discovery & Development for Biopharma?

by Jane Reed, Head of Life Science Strategy at Linguamatics 01/31/2018 Leave a Comment

Can NLP Text-Mining Transform Drug Discovery & Development for Biopharma?

Healthcare is in the midst of a data explosion, thanks to the widespread adoption of electronic health records (EHRs), the increased sophistication of insurance claims databases, and the growth of social media. These real-world data provide critical insights into the health of patients and can be leveraged to advance pharma and biotech initiatives that improve the delivery of care.This wealth of clinical data is particularly valuable for organizations seeking to understand the real-world impact
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