Deep learning (DL) holds great promise to improve medical diagnostics, including pathology. Current DL research mainly focuses on performance. DL implementation potentially leads to environmental consequences but approaches for assessment of both performance and…
Continue Reading
As the industry moves toward the purposeful adoption of generative AI advancements, there are three key considerations that can help guide effective implementation:
1. A Well-Defined Organizational Data Framework Can Close AI Gaps
Establishing a clear…
Background: Mobile Health (mHealth) interventions have the potential to improve health outcomes in low- and middle-income countries (LMIC) by aiding health workers to strengthen service delivery, and patients and communities to manage and prevent…
Continue Reading
Background: Pre-exposure prophylaxis (PrEP) is an effective strategy to reduce the risk of HIV infection. However, the efficacy of PrEP is highly dependent on adherence. Meanwhile, adherence changes over time, making it difficult to…
Continue Reading
After incorporating industry and public feedback The Sequoia Project released the Data Usability Implementation Guide Version 2 created by its Interoperability Matters Data Usability Workgroup. WHY IT MATTERS
The non-profit nationwide health IT interoperability organization’s DUWG…
Jim Bohnsack Chief Strategy Officer at Aspirion
In recent years, payers have increasingly turned to artificial intelligence (AI) as a tool to streamline claims processing, accelerating the deployment of rules related to prior authorizations and…
Continue Reading
Background: Personalized intelligent exercise prescriptions have demonstrated significant benefits in increasing physical activity and improving individual health. However, the health benefits of these prescriptions depend on long-term adherence. Therefore, it is essential to analyze…
Continue Reading
While future studies could further investigate the utility of Nuance’s generative artificial intelligence voice-enabled documentation tool for clinician subgroups and alternative clinical implementations, researchers said that the general availability of Nuance’s Dragon Ambient Experience…
Continue Reading
This scoping review evaluates recent advancements in data-driven technologies for predicting non-neonatal pediatric sepsis, including artificial intelligence, machine learning, and other methodologies. Of the 27 included studies, 23 (85%) were single-center investigations, and 16…
Continue Reading
East Sussex Healthcare NHS Trust has become the latest acute trust to select Nervecentre as its preferred supplier for an electronic patient record (EPR).
After a detailed tendering process, the trust chose Nervecentre to drive…
