City of Hope, a cancer treatment center in California, is set to revamp its technology strategy with the appointment of Simon Nazarian as executive vice president and chief digital and technology officer. Bringing extensive IT leadership experience from Optum and Kaiser Permanente, Nazarian plans to enhance patient experiences through better access to treatments and clinical trials, using data-driven insights. He aims to prioritize patient-centered innovations by updating existing processes and leveraging collaborations to improve healthcare delivery, including enhancements in infrastructure and the integration of AI to optimize operations.

City of Hope Revamps Tech Strategy to Elevate Patient Care Experience Becker's Hospital Review

The Trump administration's decision to terminate funding for the Patient Safety Network (PSNet) has raised significant concerns among healthcare professionals regarding its impact on patient safety initiatives. PSNet, part of the Department of Health and Human Services (HHS), has been pivotal in reducing medical errors through research and information sharing. The funding cut followed HHS's announcement of workforce reductions and agency mergers, prompting critics to question the administration's commitment to enhancing federal health program research. Experts, including former PSNet co-editor Dr. Patrick Romano, noted that while the site will remain active, it will no longer be updated, leading to worries about the loss of a crucial resource for fostering transparency and learning in healthcare practices.

Trump Administration Cuts Funding for Vital Patient Safety Network Inside Medicine

The KnowBe4 annual Phishing Trends Report indicates that the rise of artificial intelligence is complicating the detection of phishing attacks, with a notable increase in "polymorphic" phishing campaigns that produce similar but slightly altered messages to bypass security filters. These attacks have led to a 47% rise in undetected phishing attempts, as traditional security technologies struggle to differentiate between known threats and the more sophisticated tactics used in these attacks. The report also reveals a concerning trend of internal phishing threats, including incidents involving North Korean threat actors who impersonate new employees using AI-generated imagery and stolen identification.

AI-Driven Phishing Attacks Surge, Outpacing Traditional Security Measures SC World

A study from Stanford Medicine, published in Nature Medicine, reveals that artificial intelligence can improve intravenous nutrition administration for premature infants by accurately predicting nutrient needs based on electronic medical records. The AI algorithm, developed using data from nearly 80,000 prescriptions, aims to minimize medical errors and streamline the complex and error-prone process of prescribing total parenteral nutrition (TPN), which is often challenging in neonatal intensive care settings. This innovation is particularly significant as TPN is a major source of medical errors in these units, and the AI tool's ability to assess nutritional requirements for non-communicative infants could enhance overall patient safety and care quality.

AI Revolutionizes Nutritional Care for Premature Infants, Reducing Errors and Enhancing Safety Stanford University

City of Hope, a cancer treatment center in California, is set to revamp its technology strategy with the appointment of Simon Nazarian as executive vice president and chief digital and technology officer. Bringing extensive IT leadership experience from Optum and Kaiser Permanente, Nazarian plans to enhance patient experiences through better access to treatments and clinical trials, using data-driven insights. He aims to prioritize patient-centered innovations by updating existing processes and leveraging collaborations to improve healthcare delivery, including enhancements in infrastructure and the integration of AI to optimize operations.

City of Hope Revamps Tech Strategy to Elevate Patient Care Experience Becker's Hospital Review

The Trump administration's decision to terminate funding for the Patient Safety Network (PSNet) has raised significant concerns among healthcare professionals regarding its impact on patient safety initiatives. PSNet, part of the Department of Health and Human Services (HHS), has been pivotal in reducing medical errors through research and information sharing. The funding cut followed HHS's announcement of workforce reductions and agency mergers, prompting critics to question the administration's commitment to enhancing federal health program research. Experts, including former PSNet co-editor Dr. Patrick Romano, noted that while the site will remain active, it will no longer be updated, leading to worries about the loss of a crucial resource for fostering transparency and learning in healthcare practices.

Trump Administration Cuts Funding for Vital Patient Safety Network Inside Medicine

The KnowBe4 annual Phishing Trends Report indicates that the rise of artificial intelligence is complicating the detection of phishing attacks, with a notable increase in "polymorphic" phishing campaigns that produce similar but slightly altered messages to bypass security filters. These attacks have led to a 47% rise in undetected phishing attempts, as traditional security technologies struggle to differentiate between known threats and the more sophisticated tactics used in these attacks. The report also reveals a concerning trend of internal phishing threats, including incidents involving North Korean threat actors who impersonate new employees using AI-generated imagery and stolen identification.

AI-Driven Phishing Attacks Surge, Outpacing Traditional Security Measures SC World

A study from Stanford Medicine, published in Nature Medicine, reveals that artificial intelligence can improve intravenous nutrition administration for premature infants by accurately predicting nutrient needs based on electronic medical records. The AI algorithm, developed using data from nearly 80,000 prescriptions, aims to minimize medical errors and streamline the complex and error-prone process of prescribing total parenteral nutrition (TPN), which is often challenging in neonatal intensive care settings. This innovation is particularly significant as TPN is a major source of medical errors in these units, and the AI tool's ability to assess nutritional requirements for non-communicative infants could enhance overall patient safety and care quality.

AI Revolutionizes Nutritional Care for Premature Infants, Reducing Errors and Enhancing Safety Stanford University