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12:00 AM - NextGen UGM 2025
TigerConnect + eVideon Unite Healthcare Communications
2025-09-30    
10:00 am
TigerConnect’s acquisition of eVideon represents a significant step forward in our mission to unify healthcare communications. By combining smart room technology with advanced clinical collaboration [...]
Pathology Visions 2025
2025-10-05 - 2025-10-07    
8:00 am - 5:00 pm
Elevate Patient Care: Discover the Power of DP & AI Pathology Visions unites 800+ digital pathology experts and peers tackling today's challenges and shaping tomorrow's [...]
AHIMA25  Conference
2025-10-12 - 2025-10-14    
9:00 am - 10:00 pm
Register for AHIMA25  Conference Today! HI professionals—Minneapolis is calling! Join us October 12-14 for AHIMA25 Conference, the must-attend HI event of the year. In a city known for its booming [...]
HLTH 2025
2025-10-17 - 2025-10-22    
7:30 am - 12:00 pm
One of the top healthcare innovation events that brings together healthcare startups, investors, and other healthcare innovators. This is comparable to say an investor and [...]
Federal EHR Annual Summit
2025-10-21 - 2025-10-23    
9:00 am - 10:00 pm
The Federal Electronic Health Record Modernization (FEHRM) office brings together clinical staff from the Department of Defense, Department of Veterans Affairs, Department of Homeland Security’s [...]
NextGen UGM 2025
2025-11-02 - 2025-11-05    
12:00 am
NextGen UGM 2025 is set to take place in Nashville, TN, from November 2 to 5 at the Gaylord Opryland Resort & Convention Center. This [...]
Events on 2025-10-05
Events on 2025-10-12
AHIMA25  Conference
12 Oct 25
Minnesota
Events on 2025-10-17
HLTH 2025
17 Oct 25
Nevada
Events on 2025-10-21
Events on 2025-11-02
NextGen UGM 2025
2 Nov 25
TN

Events

Latest News

Modern Healthcare AI Healthcare Tracking Live Updates

EMR industry

AI Tracker: Incredible Health Introduces AI Voice Agents

Incredible Health Unveils Two AI Voice Agents

Healthcare staffing platform Incredible Health has introduced two artificial intelligence–powered voice agents, Gale and Lyn, built to support both healthcare professionals and employers.

Gale is designed for healthcare workers, helping them prepare for interviews and create resumes. Lyn supports employers throughout the hiring process, assisting with candidate outreach, interviewing, qualification verification, and generating interview summaries.

Lyn was developed in collaboration with leading health systems, including Johns Hopkins in Baltimore, NewYork-Presbyterian in New York City, Baylor Scott & White Health in Dallas, and Sutter Health in Sacramento, California.

Cleveland Clinic Partners with Bayesian on Sepsis Monitoring
Cleveland Clinic has entered into an agreement with AI vendor Bayesian Health to advance the early detection and treatment of sepsis. The platform is already in use at 13 Cleveland Clinic hospitals, with plans to expand its deployment across all hospitals in Ohio and Florida later this year.

In addition to the sepsis platform, Cleveland Clinic will collaborate with Bayesian Health to develop new AI modules for other critical conditions. The health system continues to invest in artificial intelligence across multiple areas, including virtual command centers and patient communication tools.

URAC Launches AI Accreditation Program
URAC announced on Monday the launch of its AI accreditation program, offering two distinct tracks: one for organizations using AI in healthcare delivery and another for organizations developing AI technologies. The developer-focused track evaluates AI systems based on transparency, rigorous testing, effective bias management, and responsible data handling. The delivery-focused track provides a framework for implementing AI safely and effectively in healthcare settings.

URAC first introduced the program in April. At the time, Dr. Shawn Griffin, URAC’s CEO and president, emphasized the urgent need for standards, especially amid shifts in presidential administration. To develop the accreditation, URAC collaborated with 29 experts from fields including healthcare delivery, digital health, public policy, academic research, legal compliance, and patient safety.

Cedars-Sinai Partners with Regard
Los Angeles-based Cedars-Sinai has partnered with AI company Regard to implement its documentation platform at the academic medical center. Regard’s platform analyzes electronic medical record data and provides recommended diagnoses along with supporting evidence.

The collaboration builds on a longstanding relationship between the two organizations. In 2017, Regard participated in the Cedars-Sinai Accelerator, an incubator for emerging health tech companies, and subsequently received investment from Cedars-Sinai Health Ventures during its Series B funding round. Regard’s platform is also utilized by Sentara Health in Norfolk, Virginia, to enhance coding specificity and accuracy.

Stanford Medicine Launches AI Center Focused on PTSD
Stanford Medicine is establishing a new center dedicated to developing AI solutions for post-traumatic stress disorder (PTSD). Named the Center for Responsible and Effective AI Technology Enhancement of Treatments for PTSD, the initiative will focus on creating innovative methods for delivering evidence-based psychotherapies and is supported by an $11.5 million grant from the National Institutes of Health.

The center plans to develop a large language model–based tool to assist PTSD therapists in learning new treatments, a support system for patients practicing skills between sessions, and a chatbot to guide teams in implementing new therapeutic practices. This effort builds on Stanford’s June launch of the Responsible AI for Safe and Equitable Health initiative, which seeks to advance safe, transparent, and ethical AI research in medicine.

Healthcare Tech Budgets Shifting Toward AI: Flare Report
Executives at provider, payer, and life sciences organizations are increasingly redirecting their technology budgets toward AI, according to a new report from venture capital firm Flare Capital. About half of healthcare executives surveyed allocate more than 10% of their budgets to AI, and over 80% expect to increase AI spending within the next 12 months. Rather than relying solely on incumbent solutions, three-quarters of these leaders are seeking best-in-class emerging technologies.

Some health systems plan to allocate an even larger share of their IT budgets to AI. Anurang Revri, chief enterprise architect at Stanford Medicine, noted in October that the goal is for 20% of Stanford’s IT budget to support AI initiatives. Healthcare organizations are also leveraging AI to accelerate reimbursement from insurers.

AI Model Achieves Perfect Score on U.S. Medical Licensing Exam: Vendor
OpenEvidence announced that its AI model has achieved a perfect score on the United States Medical Licensing Examination (USMLE). The model had previously scored over 90% on the exam last year. Over the past six months, OpenEvidence has enhanced the core technologies powering its AI. The company claims its model is the first to achieve a 100% score on the three-step U.S. medical licensure exam.

This announcement follows OpenEvidence’s $210 million Series B funding round in July, which valued the company at $3.5 billion and was co-led by Google Ventures and Kleiner Perkins. In 2025, OpenEvidence has also established partnerships with the American Medical Association’s medical journals and the publisher of the New England Journal of Medicine.

Athenahealth Introduces AI-Enhanced Updates to EHR
Athenahealth announced Thursday that its updated electronic health record system will enable customers to quickly deploy AI tools. The company plans to roll out its athenaOne platform to ambulatory care practices over the coming months. The platform includes an AI tool capable of processing more than 1 billion pages of faxes, automatically and accurately integrating the information directly into patient charts, according to a company release.

Athenahealth is the second major EHR vendor this week to introduce AI-enabled updates, following Oracle Health’s announcement Wednesday of its AI-powered EHR platform for ambulatory customers.

Illinois Bans AI in Mental Health Therapy
Illinois Governor JB Pritzker signed into law the Wellness and Oversight for Psychological Resources Act, which restricts the use of AI in therapy and psychotherapy services. The law, effective immediately upon signing on August 4, prohibits the use of AI for mental health and therapeutic decision-making.

The legislation does permit AI for administrative tasks, including appointment scheduling and reminders, billing and insurance claim processing, and drafting general communications. As AI-driven mental health tools gain popularity, critics have raised ethical concerns about their adherence to clinical guidelines.

Study Finds Chatbots Struggle to Identify False Health Information
A recent study from Mount Sinai reveals that popular AI chatbots can repeat and expand on false medical information.

Researchers at the Icahn School of Medicine at Mount Sinai submitted fictional patient scenarios, including a fabricated medical term, to leading large language models. The chatbots frequently elaborated on the false detail, generating explanations for conditions and treatments that do not exist.

When researchers added a prompt warning that the provided information might be inaccurate, the chatbots made fewer errors. The study tested models from AI companies including DeepSeek and OpenAI, which released its GPT-5 model on Thursday.