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The intersection of LLMs, EHRs and SDoH

Lloyd Price

Exec Summary: The intersection of large language models (LLMs), electronic health records (EHRs), and social determinants of health (SDoH) holds immense potential for revolutionising healthcare delivery and improving population health outcomes. Bias and fairness: LLMs trained on biased data can perpetuate health inequalities.

EHR 57
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Bridges and Tunnels: Future High Value Assets in Healthcare Technology

Lloyd Price

Exec Summary: The bridges and tunnels in healthcare technology are the infrastructure and systems that enable the efficient and reliable delivery of healthcare services. This is essential for providing telemedicine services, remote patient monitoring, and other healthcare services that rely on data sharing.

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Digital solutions in pediatric sepsis

Digital Health Global

The availability of Electronic Health Record (EHR) data and the straightforward operationalization of sepsis as an infection with life-threatening organ dysfunction have led to standardized coding scripts. These scripts help identify sepsis in children and adults by scanning routine healthcare data.

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AI Ambient Scribes are poised to become indispensable tools for healthcare providers in 2025

Lloyd Price

Expanded Capabilities and Integration: Multilingual Support: AI scribes will increasingly support multiple languages, expanding their accessibility to a wider range of healthcare providers and patients. Healthcare Technology Thought Leadership from Nelson Advisors – Market Insights, Analysis & Predictions.

EHR 62
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Electronic Health Records in a new Generative AI World

Lloyd Price

Exec Summary: The integration of generative AI into Electronic Health Records (EHRs) is poised to revolutionise healthcare. By streamlining processes, enhancing data utility, and improving patient care, AI is transforming the way healthcare providers interact with EHRs.

EHR 73
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HTI-1 Final Rule: Implications for Healthcare Providers – Focus on DSI and Algorithmic Transparency

Healthcare IT Today

The HTI-1 Final Rule particularly focuses on enhancing algorithmic transparency for predictive DSIs defined broadly, encompassing technologies from simple algorithms to advanced machine learning models. Providers not using certified EHR may face downward payment adjustments to their Medicare reimbursements in the affected payment year.

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The Intersection of Trust Integration Engines (TIEs) and Healthcare AI: A Powerful Synergy

Lloyd Price

This is particularly crucial in the context of healthcare AI, where large datasets are required to train and validate machine learning models. Key Roles of TIEs in Healthcare AI: Data Aggregation: TIEs collect data from various sources, including electronic health records (EHRs), medical devices, and research databases.