Midstream Health is taking a bit of a different approach to healthcare AI by focusing on reducing hospitals’ costs rather than boosting their revenue. The startup uses AI to identify savings opportunities across fragmented spending data, which helps health systems like Mount Sinai and CommonSpirit quickly improve their purchasing decisions.
Since its inception, AI in prior auth has only been at work in the commercial healthcare marketplace. Now new innovative approaches that reframe prior auth as a resource instead of a roadblock have come to Medicare via the WISeR model.
Small practices play a critical role in healthcare delivery, but they cannot continue to absorb ever-increasing administrative demands without consequences.
Colon cancer has long been considered a disease that comes with old age. However, the trend line of disease has been moving in the wrong direction for years, in a population we long assumed wasn’t at risk. And while researchers continue to investigate the why, there's a parallel conversation we aren't having nearly enough. One that has nothing to do with science, and everything to do with operations.
The AI Health Fund launched Treehub, a new residency program designed to back and build healthcare AI startups at the earliest stages, often before companies are even formed. It is supported by prominent figures in the Silicon Valley venture capital world, including Tim Draper and Anne Wojcicki.
By using AI-powered intelligence to shift clinical and coding validation earlier in the healthcare continuum, and unlocking upstream clinical data to inform downstream payment workflows, organizations can proactively prevent errors, reduce downstream churn and friction, and support more predictable, accurate, and timely payments.
The challenge isn’t whether AI can be used (it already is). It’s whether it can be trusted. And trust in medicine is not something healthcare professionals can afford to get wrong.
Enterprise EHR boosts scalability, interoperability, and governance for large healthcare systems.
The difference between that last era and this one isn’t incremental. It’s categorical. Artificial intelligence isn’t optimizing the old system. It’s making the old system economically indefensible.
Innovaccer is committing $250 million to expand its AI agent platform, which automates workflows across areas like prior authorization, revenue cycle management and population health. The move comes amid an ongoing debate over whether administrative AI tools can ultimately reduce costs for providers.
These products have yet to offer treatment solutions designed to get users from their current health state to a desired future health state. This creates a massive, untapped opening for tools that move people from awareness to action in a clinically meaningful way, without the cost and access barriers of engaging the healthcare system or requiring a prescription.
The next wave of radiology AI value will come from closed-loop follow-up. An actionable finding should start a pathway with a measurable end state: the follow-up exam is completed, the referral is completed, or the recommendation is clinically resolved with a documented rationale.
By reducing administrative burden and redesigning workflows around human needs, it creates space for what matters most: connection between clinicians and patients.
HeartFlow, which makes AI tools to analyze cardiac images, sued its rival Cleerly, alleging infringement on six patents. Cleerly is pushing back.
The question is where will healthcare see the greatest value? Here are five use cases that define the greatest ROI for leveraging agentic AI for clinical supply chain operations.
While many AI conversations revolve around regulated industry transformation, the question is where to actually start in a way that does not break trust, budgets or regulatory limits.
Digitization has certainly cut down on the paperwork glut in healthcare. But if that’s the extent of technology’s impact on the patient experience, it’s clearly not enough.
Luminai raised $38 million in Series B funding to scale its AI platform that automates healthcare administrative workflows. The company is working with Cleveland Clinic to expand the use of its system across high-volume processes, starting with referral management.