What Is Retrieval-Augmented Generation?
With RAG, an LLM is better positioned to optimize its output before generating a response, says Tehsin Syed, Amazon Web Services’ general manager of health AI. This is valuable when a…
Ganesh Nathella, SVP and General Manager – Healthcare and Life Sciences (HCLS) at Persistent Systems
A patient arrives at a clinic with constant chest pain. In a conventional approach, a doctor would likely conduct a…
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For the 89th episode of the CIO podcast hosted by Healthcare IT Today, we are joined by John Lee, MD, FAAEM, FAMIA, FHIMSS, Founder at HIT Peak Advisors and Former CMIO to talk about…
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Social Care Data: The Key to Unlocking Community HealthBy Carla Nelson
Carla Nelson, MBA is senior director of healthcare polity at Findhelp.
Rising healthcare costs in the US demand innovative solutions, and social…
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John Swinney, first minister for Scotland, has pledged that the country’s ‘Digital Front Door’ platform will launch by the end of 2025.
The Scottish government has been working on the app, which will include access…
In a complex, multimodal imaging environment, with radiology and other images and reports scattered across any number of PACS systems and electronic health records, clinical and technology leaders at Cleveland-based MetroHealth had one “guiding…
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There is increasing use of digital tools to monitor people with psychosis and schizophrenia remotely, but using this type of data is challenging. This systematic review aimed to summarise how studies processed and analysed…
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The use of synthetic data is a promising solution to facilitate the sharing and reuse of health-related data beyond its initial collection while addressing privacy concerns. However, there is still no consensus on a…
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Urinary tract infections (UTIs) often prompt empiric outpatient antibiotic prescriptions, risking mismatches. This study evaluates the impact of “UTI Smart-Set” (UTIS), an AI-driven decision-support tool, on prescribing patterns and mismatches in a large outpatient…
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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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