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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: data quality

‘Garbage In Is Garbage Out’: Why Healthcare AI Models Can Only Be As Good As The Data They’re Trained On - MedCity News

‘Garbage In Is Garbage Out’: Why Healthcare AI Models Can Only Be As Good As The Data They’re Trained On – MedCity News

April 1, 2024April 2, 2024MedCity News

The accuracy and reliability of AI models hinges on the quality of the data they are trained on. This can’t be forgotten — especially when these tools are being applied to healthcare settings, where…

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Tapping into the trove of standardized EMS data 

Tapping into the trove of standardized EMS data 

March 22, 2024March 23, 2024Healthcare IT news

Real-time insight into population health trends at the community level could be advanced by access to detailed and timely emergency medical response data, which is underutilized, said experts at HIMSS24 in Orlando this past…

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Navigating the Complexities of Healthcare AI | Insights from John Halamka

Navigating the Complexities of Healthcare AI | Insights from John Halamka

March 14, 2024March 15, 2024DistilINFO Hospital IT

Dr. John Halamka’s discourse at HIMSS24 provided a comprehensive examination of the opportunities and challenges surrounding predictive and generative artificial intelligence (AI) in clinical settings. Addressing issues of transparency, data quality, ethical considerations, and…

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CodaMetrix Secures $40M for AI-Driven Medical Coding Solutions

CodaMetrix Secures $40M for AI-Driven Medical Coding Solutions

March 12, 2024March 13, 2024HIT Consultant

What You Should Know:

– CodaMetrix, a provider of artificial intelligence (AI) solutions for healthcare revenue cycle management, has announced the successful closing of its $40 million Series B funding round led by Transformation Capital…

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As AI develops, health systems need to focus on data quality 

As AI develops, health systems need to focus on data quality 

March 12, 2024March 13, 2024Digital Health

The increasing role of AI in the transformation of the health system will require a greater focus on the quality and relevance of underlying data, speakers told a packed keynote session at Digital Health…

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Electronic Health Records (EHR): How to Achieve Healthcare Data Accuracy with Artificial Intelligence | Healthcare IT Today

Electronic Health Records (EHR): How to Achieve Healthcare Data Accuracy with Artificial Intelligence | Healthcare IT Today

March 6, 2024March 7, 2024Healthcare IT Today

The following is a guest article by Ann Krutsko, Healthcare IT Researcher at ScienceSoft
In healthcare, working with inaccurate patient data is a dangerous game. Electronic Health Records (EHRs) were designed to streamline operations and…

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How data can help make ‘care closer to home’ a reality | Digital Health

How data can help make ‘care closer to home’ a reality | Digital Health

February 21, 2024February 21, 2024Digital Health

Poor quality data is partly to blame for the failure to shift care out of hospitals and into the community. But simple steps can make data an enabler of change, writes The King’s Fund’s…

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Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques

Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques

February 8, 2024February 8, 2024npj Digital Medicine

Skin diseases pose significant challenges in China. Internet health forums offer a platform for millions of users to discuss skin diseases and share images for early intervention, leaving large amount of valuable dermatology images….

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Egress buys health data specialists Stalis

Egress buys health data specialists Stalis

February 6, 2024February 6, 2024Digital Health

Egress Group has acquired health data migration specialist Stalis to enhance its ability to offer complete, end-to-end data management expertise to healthcare providers.Stalis, founded in 1984, is a long-standing specialist in healthcare data migration…

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Healthcare Organizations Struggle to Meet Cures Act Data Sharing Requirements, Verato Survey Reveals

Healthcare Organizations Struggle to Meet Cures Act Data Sharing Requirements, Verato Survey Reveals

December 13, 2023December 13, 2023HIT Consultant

What You Should Know:

– A new survey from Verato, a healthcare identity management company, reveals significant challenges faced by healthcare organizations in meeting the data sharing requirements of the 21st Century Cures Act. The…

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In 10 years the electronic medical record will be the minor player, in terms of where a person’s health history lives. Most of that information will be kept on the phone or in a secure cloud, and the patient will be highly engaged with collecting, curating and sharing that data. Most doctor visits will be like calling up a YouTube meets virtual human docs and there will also be an aspect of virtual reality.

Leslie Saxon

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