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Enzo Health launches AI-native EHR for home healthcare agencies

- By InnoNurse Staff -

Enzo Health has launched Enzo EHR, what it claims is the first AI-native electronic health record (EHR) system built specifically for home healthcare agencies.

Unlike traditional EHRs that require multiple add-on tools, Enzo's platform uses AI agents to automate the entire patient care workflow—from referrals and scheduling to documentation, compliance, and billing.

Key claimed benefits include:

Intake processing: Reduced from about 70 minutes to 5 minutes by automatically reviewing referral packages and extracting relevant information.

Scheduling: Reduced from 15 minutes to 30 seconds by automatically matching clinicians with patients.

Clinical documentation: Reduced by roughly 75% through AI-generated visit notes based on conversations during patient visits.

Billing: AI prepares claims and identifies potential issues that could lead to payment denials.

CEO Zach Newman said home healthcare providers often rely on several disconnected software products layered on top of outdated EHR systems, creating inefficiencies and information silos. Enzo's goal is to consolidate those functions into a single platform.

An early adopter reportedly improved intake decision-making speed by 10 times, cutting admission decisions from 15–20 minutes to 1–2 minutes while also reducing clinician documentation time by about 75%.

Founded in 2024, Enzo Health recently raised $20 million in Series A funding, bringing total funding to $26 million. The company says its revenue has grown 40-fold in the past year and that its technology supports more than 500,000 patients annually across over 100 organizations.

The broader vision is to use AI to handle administrative tasks so healthcare professionals can spend more time focused on patient care.

Read more at Fierce Healthcare

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Teladoc expands virtual care partnership with Walmart

- By InnoNurse Staff -

Teladoc Health announced a partnership with Walmart to offer virtual healthcare services through Walmart’s Better Care Services platform.

Under the agreement, Walmart customers can access:

Virtual urgent care

Dermatology consultations

Nutrition services

The services are available through insurance coverage or direct payment. Virtual urgent care visits cost $89 for cash-pay users and cover common conditions such as sinus infections, UTIs, flu symptoms, and pink eye. Dermatology patients can upload photos for review by a board-certified dermatologist, who provides a diagnosis and treatment plan within 24 hours. Nutrition services connect users with registered dietitians for personalized guidance, including support for diabetes, weight management, and prenatal nutrition.

Prescriptions can be sent to pharmacies, including Walmart pharmacies, which may offer same-day or one-hour delivery in some locations.

The expansion follows the addition of Teladoc’s BetterHelp mental health services to Walmart’s platform earlier this year.

Teladoc said the partnership is part of its broader effort to expand access points for virtual healthcare. The company also has partnerships with platforms including Amazon and Instacart.

Teladoc says its services are available to more than 100 million people in the U.S. through employers and health plans.

Read more at Fierce Healthcare

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AI model reads complex heart MRIs without manual labels

- By InnoNurse Staff -

Researchers from Carnegie Mellon University and Cleveland Clinic have developed CMR-CLIP, an AI system that can interpret cardiac MRI scans without relying on manually labeled training data.

Instead of using expert annotations, the model learns by linking heart MRI videos with the radiology reports that physicians already write during routine clinical care. Trained on more than 13,000 patient studies and over a million images, CMR-CLIP analyzes the heart as a moving organ rather than as a collection of static images.

In testing, the system outperformed general-purpose AI models by as much as 35%, identified heart conditions it had never been specifically trained on, and achieved accuracy rates of up to 99% for some diagnostic tasks. It also showed promise for finding similar patient cases through natural-language searches and maintained strong performance when tested on datasets from other hospitals.

The researchers say the technology could help reduce the workload of cardiac imaging specialists, improve access to advanced heart diagnostics, support clinical decision-making, and serve as a training tool for physicians. The study was published in Nature Communications, and the team plans to expand the model to additional cardiac imaging applications, including automated report generation and decision-support systems.

Read more at Carnegie Mellon University

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Lauxera Capital Partners closes €520M Healthtech growth fund II

- By InnoNurse Staff -

Lauxera Capital Partners has closed its second Healthtech-focused investment fund at €520 million, exceeding its €500 million target.

The fund will invest in 12 to 15 European Healthtech companies, with individual investments ranging from €20 million to €50 million, primarily supporting international expansion into the U.S. market.

The firm focuses on sectors including medical devices, digital health, healthcare software, diagnostics, and medtech services. According to Lauxera, the fund is intended to address a financing gap for European Healthtech companies seeking growth-stage capital and operational support.

Lauxera has already invested in Acandis and Antaros Medical through the new fund. The firm also noted the 2025 acquisition of OrganOx by Terumo for approximately $1.5 billion.

Founded in 2020, Lauxera operates from Paris and San Francisco and manages more than $1 billion in assets. The company says its investment strategy also includes measuring healthcare-related impact metrics tied to patient outcomes, provider productivity, and healthcare system costs.

Read more at Lauxera Capital Partners/Business Wire

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AI model predicts Alzheimer’s-related cognitive decline from a single MRI scan

- By InnoNurse Staff -

Researchers at University of California, San Francisco developed a new AI model that can predict cognitive decline and Alzheimer’s-related outcomes using only a single baseline MRI scan and basic demographic information.

Published in Nature Aging, the multitask deep learning system outperformed existing AI methods by accurately predicting Alzheimer’s diagnosis, tissue changes, and both current and future cognitive scores without requiring expensive PET scans, genetic testing, fluid biomarkers, or lengthy neuropsychological assessments.

The model’s key innovation is a brain image segmentation approach that classifies tissue into gray matter, white matter, and cerebrospinal fluid, helping the AI better understand structural brain patterns linked to cognitive decline. Researchers trained and validated the system using datasets from the Alzheimer's Disease Neuroimaging Initiative, the Human Connectome Project, and the Dallas Lifespan Brain study.

According to the team, the approach could provide faster and more accessible screening for cognitive impairment in clinical and community settings, especially where specialized neurocognitive testing is limited. The researchers also believe the framework could eventually help predict progression in other neurodegenerative diseases such as Parkinson's disease, Amyotrophic lateral sclerosis, and Huntington's disease.

Image: Overall model architecture. Credit: Nature Aging (2026). DOI: 10.1038/s43587-026-01121-2

Read more at University of California, San Francisco/Medical Xpress

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AI trial shows faster radiotherapy planning could expand global cancer treatment access

- By InnoNurse Staff -

An international clinical trial led by researchers from University College London and London School of Hygiene & Tropical Medicine found that AI can effectively plan radiotherapy treatments for cervical and prostate cancer, potentially expanding access to life-saving care worldwide.

The ARCHERY trial involved more than 1,000 patients across hospitals in India, South Africa, Jordan, and Malaysia. Researchers tested AI software that automates the complex process of radiotherapy planning, a task that normally requires many hours of work from specialized oncologists and physicists.

Results presented at the European Society for Radiotherapy and Oncology Congress 2026 showed the AI produced high-quality treatment plans in more than 95% of cervical cancer cases and 85% of prostate cancer cases. The technology can reduce planning time from weeks to just over an hour.

Researchers say the system could help address major shortages of radiotherapy specialists, especially in low- and middle-income countries where access to treatment remains limited. Cervical cancer is particularly affected, with 94% of deaths occurring in lower-resource nations.

Experts say the study is one of the largest and most rigorous international trials evaluating AI in cancer treatment, demonstrating that AI could improve efficiency, reduce waiting times, and help more patients receive potentially curative radiotherapy worldwide.

Read more at University College London

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Report: US hospital EHR purchases decline in 2025 as Epic gains market share and Oracle Health loses ground

- By InnoNurse Staff -

Acute care hospitals sharply reduced electronic health record (EHR) purchases in 2025, with buying activity down 40% from 2024 and nearly 50% from 2023, according to KLAS Research.

Hospitals delayed decisions due to uncertainty around government policy and shifted spending toward AI and operational efficiency technologies.

Despite the slowdown, Epic Systems strengthened its dominance in the U.S. acute care EHR market, increasing its share to 43.7% and winning most major contracts, especially among smaller and midsize health systems. Epic gained 77 hospitals and nearly 18,700 beds in 2025, with many customers switching from Oracle Health. Hospitals cited Epic’s strong platform, interoperability, and partnerships as key reasons for choosing the vendor. Its Community Connect program also helped attract smaller standalone hospitals.

Oracle Health, which acquired Cerner in 2022, suffered its third straight year of major losses, dropping to 21.9% market share after losing 56 hospitals and more than 14,600 beds. KLAS reported declining customer satisfaction, ongoing restructurings, layoffs, and uncertainty around Oracle’s long-term strategy. Many customers are waiting to see whether Oracle’s new AI-powered, voice-enabled EHR platform can restore confidence in 2026.

Meditech maintained stronger customer retention, particularly among legacy clients upgrading to its Expanse platform, though it still lost seven hospitals. Smaller vendors like TruBridge and Altera Digital Health saw limited gains, mainly among budget-conscious or existing customers.

Read more at Fierce Healthcare

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CRB Health Tech closes €50 million digital health fund focused on European healthcare transformation 

- By InnoNurse Staff -

Madrid, Spain-based CRB Health Tech has closed its third digital health investment fund, CRB Digital Health Tech III, at €50 million, exceeding its original €30 million target.

The fund attracted a mix of industrial, financial, and public-sector investors, including healthcare companies, financial institutions, and Spanish public entities.

The firm says the oversubscription reflects growing interest in digital health technologies across Europe, particularly in areas such as AI-driven healthcare, hospital digitalization, diagnostics, remote monitoring, and mental health solutions. CRB Health Tech positions the fund as part of a broader effort to support the technological transformation of healthcare systems in Europe.

The fund focuses on companies that have already validated their technology and are entering commercialization stages, aiming to support growth and international expansion. It has already approved ten investments across several European countries, including Spain, Germany, France, Italy, the Netherlands, and the United Kingdom.

Portfolio companies include startups working in healthcare workforce management, AI-powered infant cry analysis, and digital psycho-oncology. CRB Health Tech says it plans to build a portfolio of around 25 companies, with investments ranging from €500,000 to €2 million, while reserving additional funding for follow-on rounds.

The firm also highlighted women’s health, mental health, AI diagnostics, and healthcare efficiency tools as key areas of interest for future investments. According to CRB executives, demographic trends, pressure on healthcare systems, and advances in AI are contributing to the sector’s long-term growth potential.

Read more at Capital-Riesgo.es

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PS-OCT and AI could improve early detection of keratoconus

- By InnoNurse Staff -

Keratoconus is a progressive eye disease that weakens the cornea, but in its earliest stage it can look normal on standard exams—making early diagnosis difficult, especially before refractive surgery.

A recent study shows that combining polarization-sensitive OCT (PS-OCT) with AI can detect subtle, early changes by analyzing corneal collagen structure rather than just shape. Traditional tools (like Pentacam or MS-39) rely on curvature and thickness, which often miss these microscopic changes.

Using data from 359 eyes, researchers compared AI models based on different imaging methods. All performed similarly for clear cases, but PS-OCT was better at distinguishing true early keratoconus from normal corneas. It identified structural differences—like altered collagen organization and slight thinning in specific layers—even when the cornea’s shape looked normal.

This matters because current methods often label borderline cases as “suspect,” potentially limiting treatment options. PS-OCT could improve diagnostic confidence by separating genuinely at-risk eyes from naturally thin but healthy ones.

Overall, the study suggests that adding structural, collagen-level insight to existing imaging could enable earlier and more accurate detection, leading to better-informed clinical decisions.

Image: Tomography is central for measuring global corneal geometry, but its limitations create a diagnostic gap, especially for early detection. PS-OCT may address this issue by combining ultrahigh-resolution tomography with polarization-sensitive functional imaging that can help distinguish true early disease from naturally thin but healthy corneas by focusing on collagen organization rather than thickness alone. Left column: eyes classified as healthy; middle, subclinical; right, keratoconus. Credit: R. P. Patil et al.

Read more at SPIE

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IKS Health to acquire TruBridge for $557 million

- By InnoNurse Staff -

Inventurus Knowledge Solutions (IKS) Health—a healthcare technology and services company that provides software and outsourced operational support to hospitals and physician groups—has agreed to acquire TruBridge for approximately $557 million.

The deal is expected to be financed through a roughly $600 million loan over five years, backed by Citibank, JPMorgan Chase, and Deutsche Bank.

The acquisition will combine IKS Health’s care enablement and administrative support capabilities with TruBridge’s revenue cycle management and electronic health records (EHR) solutions, with a focus on rural and community hospitals. The combined organization is projected to support more than 2,000 healthcare providers and over 150,000 clinicians across the United States.

According to company statements, the transaction is intended to strengthen operational efficiency and healthcare delivery in underserved areas while expanding service offerings and organizational scale.

Read more at Fierce Healthcare

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AI models help uncover the brain mechanisms behind dyslexia

- By InnoNurse Staff -

Researchers at EPFL’s NeuroAI Lab used advanced Vision-Language Models to simulate how the brain processes reading and to better understand dyslexia, a condition affecting up to 20% of people.

By identifying and disabling parts of the AI model that mimic the brain’s “visual word form area,” they reproduced reading difficulties similar to dyslexia—while other abilities like understanding images and language remained intact. This suggests the model captures key mechanisms behind the disorder.

The team also tested different fonts and found the AI performed better with fonts designed for dyslexic readers, helping guide the creation of improved, optimized fonts.

Beyond dyslexia, the research introduces a new AI-based framework for studying brain disorders more broadly, offering a way to experimentally test hypotheses that can’t be explored directly in humans.

Read more at Ecole Polytechnique Federale de Lausanne (EPFL)

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PerturbFate uses single-cell data to decode complex disease pathways

- By InnoNurse Staff -

Researchers have developed PerturbFate, a computationally driven platform designed to make sense of the massive complexity behind diseases like cancer and neurodegeneration, where hundreds of genetic mutations can lead to the same outcome.

At its core, PerturbFate combines large-scale genetic perturbation experiments with a powerful data analysis pipeline that integrates multiple layers of single-cell data. By tracking RNA dynamics, gene expression, and DNA accessibility in parallel, the system reconstructs gene regulatory networks over time, linking diverse genetic changes to their downstream effects.

This computational approach allows scientists to identify shared “regulatory nodes” — key control points where different mutation pathways converge. In a melanoma case study, the platform analyzed data from over 300,000 cells and showed that distinct mutations all led to drug resistance through common regulatory programs.

By targeting these shared nodes instead of individual mutations, researchers were able to reduce resistance, highlighting how computational modeling of cell behavior can guide more effective combination therapies.

Overall, PerturbFate demonstrates how integrating high-dimensional biological data with advanced computational analysis can uncover unifying mechanisms in complex diseases, shifting the focus from individual genes to shared system-level controls.

Header image: Cell state transition trajectories from genetically perturbed cells. Credit: Laboratory of Single-Cell Genomics and Population Dynamics at The Rockefeller University

Read more at Rockefeller University

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Op-ed: Hospitals fueling AI innovation raise questions about fair value sharing

- By InnoNurse Staff -

In their Industry Voices op-ed, “Hospitals are fueling AI innovation—should they own a piece of it?”, Carolyn Metnick and Timothy Rozier-Byrd argue that a fair partnership between hospitals and AI developers should allow health systems to share in the financial and strategic value created from their data and expertise, while preserving patient trust, regulatory compliance, and appropriate risk protections.

The authors note that hospitals are rapidly adopting and building AI tools—independently and with technology partners—to reduce burnout, improve care, and cut costs. In doing so, they generate vast amounts of clinical data and operational insight that increasingly drive the performance and market value of AI systems. This builds on longstanding data-sharing practices, including health information exchanges, partnerships with major tech firms, and the monetization of de-identified data, but is now evolving toward continuous, real-time data ecosystems and enterprise-wide AI integration.

As a result, hospitals face growing legal and business complexities, including tax considerations in joint ventures, privacy compliance, reputational risk, and questions around data ownership—especially for derivative datasets produced by AI models. The authors stress the need for clear agreements on data rights, rigorous de-identification standards, and strong governance frameworks to ensure clinical validity, reduce bias, and maintain human oversight.

Ultimately, they argue that equitable AI partnerships depend on transparent value-sharing, well-defined contractual protections, and strategic discipline—enabling hospitals to capture both economic and clinical benefits while minimizing legal and ethical risks.

Read more at Fierce Healthcare

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Infosys to acquire Optimum Healthcare IT for $465 million to expand US healthcare AI and cloud capabilities

- By InnoNurse Staff -

Infosys announced a definitive agreement to acquire Optimum Healthcare IT for $465 million in an all-cash transaction.

Optimum Healthcare IT, a Florida-based firm, brings approximately 1,600 employees and reported revenue of $276 million, reflecting recent growth. The acquisition is intended to strengthen Infosys’ U.S. healthcare practice, particularly in serving health systems and provider organizations.

The deal will expand Infosys’ capabilities in areas such as electronic health records, consulting, and workforce solutions, while giving Optimum’s clients access to Infosys’ broader portfolio of AI, cloud, cybersecurity, and digital transformation services.

Overall, the acquisition is aimed at scaling AI- and cloud-led digital transformation initiatives in healthcare, improving operational efficiency and patient experience. The transaction is expected to close in the first quarter of Infosys’ fiscal year 2027, subject to regulatory approvals and customary conditions.

Read more at Infosys/PR Newswire and Republic World

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Verily raises 300M and shifts to independent AI driven growth

- By InnoNurse Staff -

Verily Health Inc has raised $300 million in a funding round led by Series X Capital, with participation from Alphabet, UCHealth, and University of Colorado Anschutz.

Following the investment, Alphabet will hold a significant minority stake rather than a controlling interest.

The company has converted from an LLC to a corporation under the name Verily Health Inc. and intends to continue developing its AI-based precision health platform, aimed at integrating healthcare data for research and clinical applications.

Verily has also announced partnerships with Samsung and Salesforce, as well as ongoing collaborations with UCHealth and other institutions, in support of its data and platform initiatives.

Header image credit: Verily Health Inc

Read more at Verily

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Physician use of AI more than doubles since 2023 AMA survey finds

- By InnoNurse Staff -

A new survey from the American Medical Association (AMA) finds that physicians’ use of artificial intelligence continues to increase, with 81% reporting professional use in 2026—more than double the 38% reported in 2023.

The research, conducted by the AMA’s AMA Center for Digital Health and AI, shows that doctors are increasingly incorporating AI into tasks such as medical research summarization and clinical documentation.

Physicians’ confidence in AI has also grown, with more than three-quarters saying it improves their ability to care for patients. Many expect benefits in diagnostic accuracy, efficiency, and reducing administrative workload that contributes to burnout. However, attitudes remain mixed, as physicians also express concerns about patient privacy, maintaining the patient-physician relationship, and potential skill loss—especially among early-career doctors.

While physicians generally support patients using AI for basic health information, many oppose its use for interpreting complex clinical results such as radiology or pathology reports. The survey also highlights key conditions for broader adoption, including strong safety validation, data privacy protections, clear liability frameworks, and physician involvement in decisions about implementing AI tools.

Read more at AMA

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Danaher announces $9.9 billion acquisition of Masimo

- By InnoNurse Staff -

Danaher Corporation announced on Feb. 17, 2026, that it has agreed to acquire Masimo Corporation, a manufacturer of pulse oximetry and patient monitoring technologies used primarily in acute care settings.

Under the terms of the agreement, Danaher will purchase all outstanding Masimo shares for $180 per share in cash, representing a total enterprise value of about $9.9 billion, including debt and net of acquired cash. The deal values Masimo at roughly 18 times its estimated 2027 EBITDA, or about 15 times EBITDA when expected synergies are included.

After the transaction closes, Masimo will operate as a standalone company within Danaher’s Diagnostics segment, alongside businesses such as Radiometer, Leica Biosystems, Cepheid, and Beckman Coulter Diagnostics. Danaher said Masimo’s sensor technologies and AI-enabled monitoring capabilities are expected to strengthen its diagnostics portfolio and expand its reach in patient monitoring.

Danaher expects the acquisition to be accretive to adjusted diluted earnings per share, contributing approximately $0.15–$0.20 in the first full year and about $0.70 by the fifth year after completion. The company also anticipates more than $125 million in annual cost synergies and over $50 million in annual revenue synergies by the fifth year. Masimo is projected to generate more than $530 million in EBITDA by 2027 and deliver high-single-digit core revenue growth over the long term.

The transaction is expected to close in the second half of 2026, subject to regulatory approvals and approval by Masimo shareholders. Danaher plans to finance the acquisition through cash on hand and debt financing.

Read more at Danaher

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