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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: Validation

An active inference strategy for prompting reliable responses from large language models in medical practice

An active inference strategy for prompting reliable responses from large language models in medical practice

February 22, 2025March 2, 2025npj Digital Medicine

Continuing advances in Large Language Models (LLMs) are transforming medical knowledge access across education, training, and treatment. Early literature cautions their non-determinism, potential for harmful responses, and lack of quality control. To address these…

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Real world data on digital remote refraction in a healthy population of 14,680 eyes

Real world data on digital remote refraction in a healthy population of 14,680 eyes

February 6, 2025February 7, 2025npj Digital Medicine

Refractive errors are the leading cause of preventable visual impairment, to which web-based remote refraction could contribute. We report real-world 2021–2022 data of the underlying algorithm and validated these to conventional prescriptions among healthy…

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Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection

Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection

February 6, 2025February 6, 2025npj Digital Medicine

Antimicrobial resistance is a rising global health threat, leading to ineffective treatments, increased mortality and rising healthcare costs. In ICUs, inappropriate empiric antibiotic therapy is often given due to treatment urgency, causing poor outcomes….

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Healthcare AI Governance: Essential Vendor Evaluation Framework

Healthcare AI Governance: Essential Vendor Evaluation Framework

February 4, 2025February 4, 2025DistilINFO Hospital IT

Understanding AI Governance in Healthcare
Healthcare organizations must carefully evaluate artificial intelligence technologies within a comprehensive governance framework to ensure optimal patient outcomes. As AI systems become increasingly integrated into healthcare operations, establishing robust evaluation…

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Extensive benchmarking of a method that estimates external model performance from limited statistical characteristics

Extensive benchmarking of a method that estimates external model performance from limited statistical characteristics

January 27, 2025January 27, 2025npj Digital Medicine

Predictive model performance may deteriorate when applied to data sources that were not used for training, thus, external validation is a key step in successful model deployment. As access to patient-level external data sources…

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Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms

Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms

January 26, 2025January 26, 2025npj Digital Medicine

Noninvasive methods for intracranial pressure (ICP) monitoring have emerged, but none has successfully replaced invasive techniques. This observational study developed and tested a machine learning (ML) model to estimate ICP using waveforms from a…

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V3+ extends the V3 framework to ensure user-centricity and scalability of sensor-based digital health technologies

V3+ extends the V3 framework to ensure user-centricity and scalability of sensor-based digital health technologies

January 24, 2025January 24, 2025npj Digital Medicine

We propose the addition of usability validation to the extended V3 framework, now “V3+”, and describe a pragmatic approach to ensuring that sensor-based digital health technologies can be used optimally at scale by diverse…

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Essential 2026 ACA Marketplace Changes Transform Healthcare

Essential 2026 ACA Marketplace Changes Transform Healthcare

January 22, 2025January 22, 2025DistilINFO Hospital IT

Major Consumer Protection Enhancements
CMS is implementing robust safeguards starting in 2026 to prevent unauthorized changes to healthcare coverage within the Federally-facilitated Marketplaces (FFMs). These improvements will significantly enhance consumer experience on HealthCare.gov, making cost…

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‘It can be done’: Heart Hospital in Malaysia scores country’s first EMRAM validation

‘It can be done’: Heart Hospital in Malaysia scores country’s first EMRAM validation

January 22, 2025January 22, 2025Healthcare IT news

In a country first, Institut Jantung Negara (National Heart Institute) in Malaysia has been recently validated for Stage 6 of the HIMSS Electronic Medical Record Adoption Model.The EMRAM measures an organisation’s adoption and maturity…

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Heart Hospital in Malaysia scores country’s first EMRAM validation

Heart Hospital in Malaysia scores country’s first EMRAM validation

January 22, 2025January 22, 2025Healthcare IT news

In a country first, Institut Jantung Negara (National Heart Institute) in Malaysia has been recently validated for Stage 6 of the HIMSS Electronic Medical Record Adoption Model.The EMRAM measures an organisation’s adoption and maturity…

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The most promising technology is AI combined with what we call "digital endpoints" for each service we provide. Digital endpoints are technologies like online scheduling, asynchronous video visits, and voice and application programming interfaces. The combination of AI and these endpoints mean that we can enable more sophisticated navigation, new business models, reduce friction and improve care delivery.

Aaron Martin

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