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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

January 31, 2026January 31, 2026
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Tag: Real-World Data

Lessons for synthetic data from care.data’s past

Lessons for synthetic data from care.data’s past

August 9, 2025August 10, 2025npj Digital Medicine

The use of synthetic data to augment real-world data in healthcare can ensure AI models perform more accurately, and fairly across subgroups. By examining a parallel case study of NHS England’s care.data platform, this…

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Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data

Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data

July 24, 2025July 25, 2025npj Digital Medicine

Early prediction of disability progression in multiple sclerosis (MS) remains challenging despite its critical importance for therapeutic decision-making. We present the first systematic evaluation of personalized federated learning (PFL) for 2-year MS disability progression…

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Flatiron Health Triples Global Oncology Research Network

Flatiron Health Triples Global Oncology Research Network

July 23, 2025July 24, 2025HIT Consultant

What You Should Know:

– Flatiron Health, a leading healthtech company dedicated to improving cancer care and advancing research using real-world data (RWD), today announced that its international oncology research network has tripled in size…

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Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm

Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm

July 19, 2025July 19, 2025npj Digital Medicine

The widespread adoption of real-world data has given rise to numerous healthcare-distributed research networks, but multi-site analyses still face administrative burdens and data privacy challenges. In response, we developed a Collaborative One-shot Lossless Algorithm…

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Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences

Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences

July 18, 2025July 18, 2025npj Digital Medicine

Real-world data (RWD) from electronic health records and digital health databases present unique opportunities to study causal effects in healthcare. While Difference-in-Differences (DiD) analysis is widely used for such analyses, it can be biased…

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Komodo Health Talks Real-World Data and The Importance of High-Quality Data

Komodo Health Talks Real-World Data and The Importance of High-Quality Data

July 15, 2025July 16, 2025Healthcare IT Today

In this interview, Julia Goebel, Chief Marketing Officer at Komodo Health, surveys the current state of health care data, the importance of high-quality data in the deployment of new technologies such as AI, and…

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COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data

COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data

July 15, 2025July 15, 2025npj Digital Medicine

Clinical insights from real-world data often require aggregating information from institutions to ensure sufficient sample sizes and generalizability. However, patient privacy concerns only limit the sharing of patient-level data, and traditional federated learning algorithms,…

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Large language model trained on clinical oncology data predicts cancer progression

Large language model trained on clinical oncology data predicts cancer progression

July 2, 2025July 2, 2025npj Digital Medicine

Subspecialty knowledge barriers have limited the adoption of large language models (LLMs) in oncology. We introduce Woollie, an open-source, oncology-specific LLM trained on real-world data from Memorial Sloan Kettering Cancer Center (MSK) across lung,…

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Reimagining Parkinson’s Research: Unlocking the Power of Real-World Data and AI

Reimagining Parkinson’s Research: Unlocking the Power of Real-World Data and AI

June 25, 2025June 26, 2025HIT Consultant

Dr. Heather Moss, Medical Advisor at Verana Health & Professor of Ophthalmology and of Neurology and Neurological Sciences at Stanford University

Parkinson’s Disease (PD) is considered one of the most complex and challenging neurodegenerative disorders…

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The Next Phase of RWE: Why Integration Matters More Than Data Collection

The Next Phase of RWE: Why Integration Matters More Than Data Collection

June 20, 2025June 20, 2025HIT Consultant

Natalie Schibell, VP of Market Strategy and Communications at Aetion,

Real-world evidence (RWE) has become central to evaluating therapies, medical products, and health interventions—providing insight into how they perform outside controlled clinical trials. As healthcare…

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