Jimini Health Raises $17M to Scale Clinician-Supervised AI for Behavioral Health
Jimini's $17 million round was from M13, Town Hall Ventures, LionBird, Zetta Venture Partners and OneMind.
Jimini's $17 million round was from M13, Town Hall Ventures, LionBird, Zetta Venture Partners and OneMind.
Whether AI-driven or legacy applications, the endpoint is the decisive moment. As AI increases in use, having hardware and software that supports a high-performance experience for all staff will improve operational efficiency, patient outcomes, and revenue.
Arbiter’s Anjali Jameson on hospital and payer alignment.
Mass General Brigham evaluates AI tools by carefully monitoring real-world performance before scaling them system-wide. At HIMSS earlier this month, Rebecca Mishuris, the health system’s chief health information officer and vice president of digital, explained what this process looks like.
Rather than using AI to compete, we must design AI to collaborate. As the regulatory landscape evolves and industry pledges push for real-time, electronic, and transparent authorizations, the imperative is clear: technology must bridge the payer-provider divide, not widen it.
Michael Meucci, CEO of health data platform Arcadia, thinks health systems are changing their thinking about ROI when it comes to AI projects. As providers face tighter budgets, he said they’re broadening how they measure AI’s ROI, including benefits like reducing clinician burnout.
AI in healthcare will not fail because the models are weak. It will stall when leaders hesitate to redesign how decisions are made, measured and governed.
Health systems can turn insights into action, ensuring that preventive care actually happens by combining accurate risk prediction with human outreach and careful planning.
UnitedHealthcare launched Avery, an AI assistant to help members manage benefits and care with live support backup.
Fawad Butt, CEO of Penguin Ai, gave his candid thoughts on where the healthcare AI market is headed, including how data leakage could be fueling smarter AI models and the limits of agentic AI in enterprise settings.
Residents embrace AI for everything from clinical decisions to emotional support. Health systems need to meet them where they are.
How to turn analytics into actual policy outcomes.
Our biggest healthcare problems aren’t only cost or access, but the breakdown in how diagnoses are made, especially for women. Digital health’s new era of AI and real-time data is the most promising solution I’ve seen to fix this, but for these tools to work for women, they must be built on data that actually includes them.
At Wayne General Hospital in rural Mississippi, clinicians are using Eko Health’s AI-powered digital stethoscope to detect heart conditions earlier in patients with limited access to specialists.
We don’t have a shortage of willing patients — instead we have a shortage of scalable ways to identify and engage them responsibly. AI, used meaningfully offers a reliable path forward.
Utah is piloting an AI system developed by Doctronic to autonomously handle routine prescription refills, aiming to reduce delays and boost medication adherence. But a report from Mindgard AI claiming that there are vulnerabilities in the company’s chatbot underscores the broader challenge regulators and developers face in ensuring healthcare AI systems remain safe and reliable in real-world use.
Patients who better understand their conditions often ask more informed questions and participate more actively in shared decision-making. But fluency is not the same as reliability.