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ModMed Acquires Bonsai Health to Enhance AI-Driven Patient Engagement

ModMed Acquires Bonsai Health to Enhance AI-Driven Patient Engagement

ModMed Acquires Bonsai Health to Enhance AI-Driven Patient Engagement
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Oscar Health Launches Lucie Platform to Revolutionize Healthcare Shopping

Oscar Health Launches Lucie Platform to Revolutionize Healthcare Shopping

Oscar Health Launches Lucie Platform to Revolutionize Healthcare Shopping
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Oscar Health Launches Lucie Platform to Simplify Individual Health Plan Selection

Oscar Health Launches Lucie Platform to Simplify Individual Health Plan Selection

Oscar Health Launches Lucie Platform to Simplify Individual Health Plan Selection
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AI Misuse in Healthcare: A Cautionary Tale from Seattle

AI Misuse in Healthcare: A Cautionary Tale from Seattle

Ben Riley, an AI-skeptic, is raising awareness about the dangers of relying on artificial intelligence for critical health decisions following the death of his father, Joe Riley. Joe, a retired neuroscientist from Seattle, ignored his doctors' advice on leukemia treatment after consulting AI tools like Perplexity. These tools provided misleading information, leading Joe to believe he knew better than his medical team. Despite his tech-savvy background, Joe's reliance on AI resulted in a delay in treatment, ultimately contributing to his death in late 2025. Ben now advocates for caution in using AI for medical advice, emphasizing the need for human oversight.
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Biohacking Companies Offer New Health Data Access, Raising Questions on Medical Practices

Biohacking Companies Offer New Health Data Access, Raising Questions on Medical Practices

Biohacking Companies Offer New Health Data Access, Raising Questions on Medical Practices
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Americans Increasingly Rely on AI for Health Advice, Reducing Dependence on Traditional Searches

Americans Increasingly Rely on AI for Health Advice, Reducing Dependence on Traditional Searches

A growing number of Americans are turning to artificial intelligence tools for health advice, moving away from traditional search engines like Google. According to a Gallup poll conducted in late 2025, about one-quarter of U.S. adults have used AI tools for health information or advice in the past 30 days. This trend is supported by similar findings from other recent surveys. AI tools, such as ChatGPT, are being used by individuals like Tiffany Davis from Mesquite, Texas, who consults AI for symptoms related to weight-loss injections. Dr. Karandeep Singh, chief health AI officer at UC San Diego Health, describes these AI tools as an upgraded version of Google health searches, providing users with a more efficient entry point into web searches. The survey indicates that most users seek quick answers or additional information, often using AI tools before or after medical appointments. Despite the rise in AI usage, the majority of Americans still seek professional medical care, with about 8 in 10 consulting h...
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ONC Report Highlights EHR Adoption Disparities in Mental Health Facilities

ONC Report Highlights EHR Adoption Disparities in Mental Health Facilities

A recent report by the Office of the National Coordinator for Health Information Technology (ONC) reveals significant disparities in the adoption of electronic health records (EHR) among substance use and mental health treatment facilities in the U.S. According to the 2024 N-SUMHSS survey data, 68% of these facilities use EHRs exclusively, while 25% use a combination of EHR systems and paper charts. The report highlights a stark contrast in EHR adoption rates based on facility ownership, with federal government facilities leading at a 97% adoption rate, compared to only 38% for state government facilities. Additionally, the report notes that while most facilities use EHRs for basic administrative tasks, there is a significant drop in the use of advanced capabilities such as electronic prescriptions and lab test orders. Furthermore, only 19% of behavioral health facilities participate in a Health Information Exchange (HIE), with a majority unaware of HIE availability.
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CMS Announces Over 150 ACCESS Participants, Raising Concerns Over Diverse Experience Levels

CMS Announces Over 150 ACCESS Participants, Raising Concerns Over Diverse Experience Levels

The Centers for Medicare & Medicaid Services (CMS) has released a list of over 150 participants for its ACCESS model, sparking discussions about the diversity of experience among the selected organizations. The ACCESS model aims to deliver measurable clinical outcomes for patients with chronic conditions under tighter margins. Participants range from seasoned Medicare Advantage operators to newcomers from consumer tech and analytics sectors. This mix is intentional, as CMS has lowered barriers to entry to encourage applications from companies eager to enter the healthcare market. However, this diversity has raised concerns about the ability of less experienced participants to positively influence patient outcomes. Dr. Ashul Govil, medical director of Story Health by Innovaccer, expressed surprise at the number of companies involved and emphasized the importance of understanding limits in delivering patient care.
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Why so many Americans are using AI for health guidance

Why so many Americans are using AI for health guidance

A new poll reveals one-quarter of U.S. adults are turning to AI tools for quick, affordable health guidance and research.
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Hippocratic AI Introduces Voice AI Tools to Enhance Patient and Nurse Interaction

Hippocratic AI Introduces Voice AI Tools to Enhance Patient and Nurse Interaction

Hippocratic AI has launched two innovative Voice AI products aimed at improving healthcare interactions: AI Front Door and Nurse Co-Pilot. AI Front Door is designed to streamline patient interactions by consolidating scheduling, lab results, billing, and care follow-ups into a single, continuous conversation. This tool aims to replace traditional fragmented call centers and digital front doors, offering a more personalized and seamless experience. Nurse Co-Pilot, co-developed with healthcare institutions like Cleveland Clinic and Cincinnati Children’s, focuses on automating repetitive tasks for bedside nurses, such as admission education and medication adherence. This tool is expected to return significant time to nurses, allowing them to focus more on direct patient care.
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Primary Care Physicians Express Concerns Over Financial Stability Amid Rising Costs

Primary Care Physicians Express Concerns Over Financial Stability Amid Rising Costs

A recent survey conducted by Elation Health reveals that over 80% of primary care physicians (PCPs) are worried about their financial stability in the coming years. The survey, which included 280 PCPs, highlights several challenges faced by these healthcare providers, including government and commercial payer reimbursement, staffing costs, technology expenses, and rising operational costs. Despite these concerns, many PCPs are actively developing strategies to address these issues, such as adopting new payment models and increasing marketing efforts. The survey also notes that independent practices are thriving due to innovations in payment models and technology, with 93% of respondents committed to continuing their practice.
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AI Tools Provide Flawed Medical Advice to Millions of Americans, Raising Concerns

AI Tools Provide Flawed Medical Advice to Millions of Americans, Raising Concerns

A recent survey by the West Health-Gallup Center on Healthcare in America reveals that approximately 66 million American adults are turning to AI chatbots like ChatGPT for medical advice. This trend is concerning as many users are foregoing traditional medical consultations in favor of AI-generated advice. The survey indicates that 14% of these individuals, equating to over nine million people, have opted not to see a healthcare provider they would have otherwise consulted. The study highlights the significant risks associated with relying on AI for critical health advice, as these tools often provide inaccurate or potentially unsafe recommendations. Despite advancements in AI technology, large language models (LLMs) still struggle with clinical-grade decision-making, often collapsing onto single answers without considering the full clinical picture.