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Jun 18, 2025·Becker's Hospital Review

Chan Medical School and Red Cell Partners work together to advance AI technologies for healthcare. Their two-year partnership will involve selecting and testing AI products from Red Cell's portfolio using clinical data to validate safety and effectiveness. UMass Chan will also join Red Cell’s program to streamline the deployment of viable AI tools in the sector. Dr. Adrian Zai emphasized the initiative's aim to attract AI companies and establish industry guidelines, while UMass Chan will be compensated for data access and services.

Jun 17, 2025·reservoirsamples.substack.com

The article “Some thoughts on human–AI relationships” (originally shared via Joanne Jang’s X post) emphasizes that as AI becomes more conversational and integrated into everyday life, people increasingly experience these interactions as if connecting with another “someone.” Users often thank their AI, confide in it, and sometimes describe it as “alive.” OpenAI is responding by focusing on research into the emotional impact of these AI interactions, grounding their development approach in the principle that AI models should serve people first while safeguarding emotional well‑being. This preparation anticipates deeper bonds forming as AI grows more natural and present in our lives.

Jun 16, 2025·Forbes

Pharmacists are increasingly taking on clinical roles beyond traditional medication dispensing, driven by the adoption of value-based care which positions them as key contributors to patient health management. During the Total Pharmacy Solutions Summit, Stephanie Downing discussed the dual challenge...

Jun 16, 2025·AMA

The Permanente Medical Group's implementation of ambient augmented AI scribes in late 2023 has significantly reduced the documentation burden on physicians, saving an estimated 15,791 hours over one year across 2.5 million patient encounters. A recent analysis in NEJM Catalyst demonstrated that the technology not only enhanced efficiency but also improved patient-physician interactions and overall physician satisfaction. By transcribing conversations in real time, AI scribes allow physicians to focus more on patient care rather than documentation, leading to reduced administrative tasks and improved communication, with 84% of physicians reporting positive developments in their interactions with patients.

Jun 15, 2025·Becker's Hospital Review

The integration of artificial intelligence (AI) is transforming electronic health records (EHRs) from a documentation burden into tools for clinical intelligence, enhancing efficiency and addressing clinician burnout. Health systems like Mass General Brigham are leading this evolution with AI-powered solutions such as ambient documentation tools to improve provider satisfaction and workflow. Concurrently, Stanford Health Care is testing ChatEHR, an AI assistant designed to facilitate natural language interactions with EHRs, thereby reducing cognitive load for clinicians. This shift highlights the growing trend among health systems and vendors to adopt innovative technologies in healthcare.

Jun 12, 2025·AMA

As augmented intelligence tools become more integrated into healthcare, the American Medical Association (AMA) has introduced a new policy to promote transparency and trust in these technologies. Announced during its Annual Meeting, the policy emphasizes the importance of explainable clinical AI tools that provide accessible safety and efficacy data, enabling healthcare professionals to make informed decisions regarding patient care. It also calls for increased oversight and regulation of AI algorithms through independent evaluations, ensuring that their explainability supplements traditional methods of validating safety and efficacy. Dr. Alexander Ding, from the AMA Board, underscored the necessity of transparency for physicians to confidently utilize these tools in clinical settings.

Jun 12, 2025·Becker's Hospital Review

Edmund Siy, the new chief information and technology officer at Bon Secours Mercy Health, is prioritizing the alignment of technology initiatives with the organization's mission since his appointment in May. His focus includes building a secure digital infrastructure, enhancing support for clinicians, and guiding the ethical adoption of artificial intelligence. Siy emphasizes cybersecurity to protect patient data and plans to develop three-year roadmaps to strategically guide the IT department. He also highlights the importance of integrating AI responsibly within healthcare workflows, urging collaboration with providers to ensure ethical implementation.

Jun 11, 2025·Healthcare IT News

Mayo Clinic in Florida has partnered with hellocare.ai to leverage ambient clinical intelligence to improve patient care and outcomes while aiming to reduce hospitalizations. Dr. Kent Thielen highlighted the importance of integrating innovative solutions to tackle future healthcare challenges. Hellocare.ai, which specializes in tools like ambient documentation and virtual support platforms, will collaborate with Mayo Clinic to enhance healthcare delivery through AI-driven resources. The partnership follows hellocare.ai's recent $47 million funding round, with Mayo Clinic also investing in the initiative, ensuring that revenue supports their non-profit mission in patient care, education, and research.

Jun 11, 2025·Stat News

The Joint Commission has partnered with the Coalition for Health AI (CHAI) to develop guidelines for the responsible use of artificial intelligence in healthcare. This collaboration aims to create a certification program and best practice "playbooks" to guide healthcare organizations in integrating AI technologies. With CHAI's diverse membership representing a wide array of professionals in healthcare and life sciences, the initiative seeks to establish standards that enhance patient care while ensuring the safe deployment of AI tools across over 80% of U.S. healthcare organizations.

Jun 10, 2025·Healthcare IT News

Charles Worthington, the Chief Technology Officer and Chief AI Officer at the U.S. Department of Veterans Affairs, stresses the importance of prioritizing human problem-solving over technology in AI implementation. He believes that addressing the most pressing issues within the VA should come first, using technology, including AI, as a tool for creative solutions. Since 2017, Worthington has led efforts to modernize the VA's digital services and enhance veteran experiences, focusing on areas like benefits processing and health data interoperability. His role also involves ensuring the safe and effective use of AI by promoting governance and measuring the impact of over 100 AI initiatives currently in use at the VA.

Jun 10, 2025·Charge AI

The integration of artificial intelligence (AI) in healthcare is prompting hospitals and health systems to appoint Chief AI Officers (CAIOs) to manage AI governance and implementation. This trend highlights the sector's acknowledgment of AI's potential benefits and associated risks, such as patient safety and regulatory compliance. The article lists 48 notable CAIOs from various institutions, illustrating the growing focus on AI leadership. These executives, including Ashley Beecy from Sutter Health and Michael Burns from Michigan Medicine, are responsible for leveraging AI technologies to improve healthcare delivery while navigating the complexities involved.

Jun 9, 2025·Becker's Hospital Review

Artificial intelligence (AI) is reshaping the nursing profession, prompting healthcare leaders to examine its role in clinical workflows. While some nurses are concerned about becoming overly dependent on technology, many recognize AI as a tool to alleviate administrative tasks and improve patient care. Nurse leaders like Kathy Sanford advocate for empowering nurses through collaboration and technology to enhance their roles. As the industry shifts towards value-based care, interdisciplinary teamwork is becoming essential, with professionals like Melinda Cooling emphasizing the need for nurses to be proficient in AI to effectively coordinate care. However, despite the benefits of AI, the core responsibilities of nurses—critical thinking, evidence-based practice, and strong patient relationships—remain vital, ensuring that technology serves to augment rather than replace nursing expertise.

Jun 9, 2025·Apple Machine Learning

Recent advancements in Large Reasoning Models (LRMs) reveal their capacity to generate detailed reasoning processes, yet their fundamental capabilities remain unclear. Current evaluations focus on final answer accuracy, neglecting the reasoning processes. This study uses controllable puzzle environments to analyze both final responses and internal reasoning traces. Findings indicate that while LRMs initially improve with increasing complexity, they ultimately experience a drop in accuracy, exhibiting a counterintuitive scaling behavior. In low complexity tasks, standard models outperform LRMs, while LRMs excel in medium complexity tasks, but both models struggle with high complexity, leading to significant performance collapse.

Jun 5, 2025·Stanford Medicine

Stanford Health Care is piloting an AI tool called ChatEHR that enables clinicians to interact with patient medical records in a conversational format, akin to engaging with large language models. Developed by Stanford Medicine researchers, the tool allows healthcare providers to query patient histories and summarize charts directly from electronic health records, aiming to improve clinical workflows and decision-making. Currently being tested by a group of 33 healthcare professionals, ChatEHR is designed to enhance accuracy and security while reducing the time spent by clinicians on retrieving critical information, thereby allowing more focus on patient care.

Jun 5, 2025·Mount Sinai

Researchers at the Icahn School of Medicine at Mount Sinai have created a machine learning tool named GLUCOSE to improve blood sugar management for ICU patients recovering from heart surgery. Published in NPJ Digital Medicine, the study discusses the difficulty in maintaining stable blood sugar levels, as patients are vulnerable to both hyperglycemia and hypoglycemia. GLUCOSE employs reinforcement learning to provide insulin dosing recommendations based on real-time data, enhancing patient safety and supporting clinician decision-making. Initial tests indicate that GLUCOSE can perform on par with experienced clinicians, but the developers underscore its role as an aid rather than a replacement for clinical judgment.

Jun 4, 2025·LinkedIn

Brad Reimer, Chief Information Officer at Sanford Health, discussed the integral role of artificial intelligence (AI) in healthcare at AVIA’s Digital Innovation Leaders Event. He introduced "Agentic AI," which utilizes automation and machine learning to enhance patient care and address workforce shortages, particularly in rural areas. Reimer underscored the necessity of operationalizing digital strategies to meet rising patient expectations for services like virtual care and remote monitoring, emphasizing the involvement of frontline caregivers in these transformations to avoid potential pitfalls. He also highlighted demographic shifts that necessitate urgent attention to healthcare challenges, particularly for high-needs patients in rural America.

Jun 4, 2025·Healthcare IT News

Researchers at Mass General Brigham (MGB) evaluated the integration of large language models (LLMs) like OpenAI's GPT-4 and Google's Gemini 1.5 with traditional diagnostic decision support systems (DDSS) to improve patient diagnoses. In comparing these LLMs to MGB's long-established diagnostic tool, DXplain, which uses a comprehensive database for generating potential diagnoses, DXplain demonstrated superior performance with a 72% accuracy rate compared to 64% for ChatGPT and 58% for Gemini. The findings suggest that while DXplain was more effective at providing differential diagnoses, particularly with laboratory data, incorporating LLMs could enhance clinical decision-making by offering additional insights.

Jun 4, 2025·Becker's Hospital Review

Health system CIOs are increasingly incorporating artificial intelligence (AI) and automation into clinical and administrative processes, leading to shifts in healthcare operations. Dr. Zafar Chaudry from Seattle Children’s predicts significant evolution in healthcare IT roles over the next two years, with a focus on AI, machine learning for diagnostics, cybersecurity, and telehealth. New positions such as AI specialists and cybersecurity analysts are emerging, prompting health systems to both hire and upskill employees in technology-related areas. Dr. Minal Shah from CommonSpirit Health highlights the need for training clinicians in tech literacy to enhance workforce effectiveness, while traditional roles in manual tasks are declining due to automation and AI advancements.

Jun 3, 2025·Healthcare IT News

Rajiv Kolagani, Chief Data and AI Officer at Ann & Robert H. Lurie Children's Hospital of Chicago, is leading the development of an advanced data platform that leverages artificial intelligence to improve clinical quality and operational efficiency. With over two decades of experience, Kolagani is focused on modernizing the hospital's technology and fostering AI literacy among staff. He advocates for collaborative efforts within the organization to make AI a shared responsibility and aims to enhance user engagement through an agile product delivery model. His strategic vision aligns AI initiatives with the hospital's overarching healthcare delivery goals, utilizing his extensive experience to bridge gaps between various stakeholders.

Jun 3, 2025·FDA

The FDA has introduced Elsa, a generative AI tool intended to enhance the efficiency of its workforce across various roles, including scientific reviewers and investigators. Announced by FDA Commissioner Marty Makary, the tool was rolled out ahead of schedule and under budget after a successful pilot program. Operating in a secure GovCloud environment, Elsa ensures the confidentiality of internal documents and does not use data from regulated industries, maintaining the integrity of sensitive information. Its capabilities are already being employed to streamline processes like clinical protocol reviews and safety assessments, aimed at improving overall operational efficiency within the agency.