The National Institutes of Health (NIH) has launched a new initiative to prioritize human-based research technologies and decrease dependency on animal models in scientific studies. This initiative, which aligns with the FDA’s goals of reducing animal testing, aims to utilize innovative non-animal models like organoids and tissue chips to better understand human diseases and enhance healthcare outcomes. Acknowledging the limitations of animal research, particularly in relation to diseases such as Alzheimer’s and cancer, the NIH will create the Office of Research Innovation, Validation, and Application (ORIVA) to oversee the development and validation of these non-animal approaches, along with expanding funding and training opportunities for researchers.

The Q2 2025 Global EHR Market Report by Black Book Market Research reveals a notable trend where regional and multi-national EHR vendors are outperforming traditional U.S.-based companies like Epic Systems and Oracle Health. Feedback from over 11,000 healthcare professionals across 44 countries indicates that these newer vendors, including Dedalus and MV Sistemas, are achieving higher client satisfaction and better local market integration. This shift is influenced by rising nationalism and trade tensions, prompting countries to seek EHR solutions tailored to their specific needs, rather than defaulting to American software.

This article explores how healthcare organizations are enhancing EHRs through artificial intelligence (AI) to improve clinical workflows and patient care. Phoenix Children’s Hospital exemplifies this advancement by integrating AI tools like ChatGPT and Microsoft Power BI into their EHR system. These tools assist in summarizing clinical notes, predicting conditions such as pediatric malnutrition, and identifying early signs of sepsis, thereby enabling timely interventions. The hospital's approach includes a near real-time data warehouse that aggregates information from over 100 systems, facilitating rapid insights for clinicians. This AI-driven strategy aims to reduce administrative burdens, support clinical decision-making, and shift the focus from mere documentation to actionable data analysis, marking a significant step forward in EHR optimization.

Clinicians are recognizing the benefits of generative AI tools in clinical documentation for reducing administrative burdens, but industry leaders remain cautious about their financial ROI due to insufficient evidence, as noted by a Peterson Health Technology Institute report. In contrast, Riverside Health has reported a notable revenue increase after implementing Abridge’s AI technology, which generates clinical notes from doctor-patient conversations, alleviating physician burnout and improving documentation accuracy. Since its adoption, Riverside has experienced a 14% rise in Hierarchical Condition Category diagnoses and an 11% increase in work relative value units, enhancing reimbursement opportunities and care alignment.

The National Institutes of Health (NIH) has launched a new initiative to prioritize human-based research technologies and decrease dependency on animal models in scientific studies. This initiative, which aligns with the FDA’s goals of reducing animal testing, aims to utilize innovative non-animal models like organoids and tissue chips to better understand human diseases and enhance healthcare outcomes. Acknowledging the limitations of animal research, particularly in relation to diseases such as Alzheimer’s and cancer, the NIH will create the Office of Research Innovation, Validation, and Application (ORIVA) to oversee the development and validation of these non-animal approaches, along with expanding funding and training opportunities for researchers.

The Q2 2025 Global EHR Market Report by Black Book Market Research reveals a notable trend where regional and multi-national EHR vendors are outperforming traditional U.S.-based companies like Epic Systems and Oracle Health. Feedback from over 11,000 healthcare professionals across 44 countries indicates that these newer vendors, including Dedalus and MV Sistemas, are achieving higher client satisfaction and better local market integration. This shift is influenced by rising nationalism and trade tensions, prompting countries to seek EHR solutions tailored to their specific needs, rather than defaulting to American software.

This article explores how healthcare organizations are enhancing EHRs through artificial intelligence (AI) to improve clinical workflows and patient care. Phoenix Children’s Hospital exemplifies this advancement by integrating AI tools like ChatGPT and Microsoft Power BI into their EHR system. These tools assist in summarizing clinical notes, predicting conditions such as pediatric malnutrition, and identifying early signs of sepsis, thereby enabling timely interventions. The hospital's approach includes a near real-time data warehouse that aggregates information from over 100 systems, facilitating rapid insights for clinicians. This AI-driven strategy aims to reduce administrative burdens, support clinical decision-making, and shift the focus from mere documentation to actionable data analysis, marking a significant step forward in EHR optimization.

Clinicians are recognizing the benefits of generative AI tools in clinical documentation for reducing administrative burdens, but industry leaders remain cautious about their financial ROI due to insufficient evidence, as noted by a Peterson Health Technology Institute report. In contrast, Riverside Health has reported a notable revenue increase after implementing Abridge’s AI technology, which generates clinical notes from doctor-patient conversations, alleviating physician burnout and improving documentation accuracy. Since its adoption, Riverside has experienced a 14% rise in Hierarchical Condition Category diagnoses and an 11% increase in work relative value units, enhancing reimbursement opportunities and care alignment.