Smarter Tech Aims to Cure Hospital Finances with New Clinical AI Tool

DALLAS, TX – April 07, 2026

Smarter Technologies today announced the launch of SmarterUtilization, a clinical AI solution aimed at one of the most persistent and costly pain points in the U.S. healthcare system: inpatient utilization management. The new platform enters a market where health systems, grappling with thin margins and workforce shortages, are increasingly looking to technology to solve billion-dollar administrative headaches.

The Dallas-based company’s new offering extends its end-to-end revenue cycle platform by embedding artificial intelligence directly into the complex process of approving and managing patient hospital stays. It promises to connect clinical decision-making with financial realities in real-time, a goal that has long eluded providers.

The High Cost of an Antiquated System

For hospitals across the country, utilization management (UM) has become a battleground. The process, designed to ensure patient care is medically necessary and delivered in the appropriate setting, is often a bureaucratic quagmire. It is a function notorious for its reliance on manual data entry, faxes, and phone calls, consuming vast administrative and labor resources.

Industry data paints a stark picture of the problem. Denial rates for claims, often stemming from UM issues, hover between 8% and 12%, with some beleaguered health systems reporting rates exceeding 15%. According to a 2024 Experian Health survey, 73% of providers are seeing these denials increase. Each denial represents not only lost revenue but also a cascade of costly appeals and rework.

The burden falls heavily on clinicians. Physicians report spending upwards of 13 hours per week, on average, dealing with prior authorization requests—time that is diverted from direct patient care. This administrative friction is a significant contributor to physician burnout and is frequently cited as a source of delays in care, which in some cases can lead to adverse patient outcomes. The complexity is compounded by a labyrinth of variable payer rules, with providers forced to navigate hundreds of different guidelines across commercial, state, and federal health plans.

“Health systems are under unprecedented pressure to manage rising utilization, workforce strain, and unpredictable payer behavior, all while protecting already thin margins,” said Michael Gao, MD, CEO of Smarter Technologies, in the company's announcement. SmarterUtilization, he noted, "was built in direct response to these realities."

AI as the Bridge Between Care and Cash

Smarter Technologies proposes to solve this problem by building a digital bridge between the clinical and financial sides of the hospital. SmarterUtilization is designed to ingest and analyze clinical data from the electronic health record and use AI to provide insights on level-of-care determinations and alignment with payer contracts.

The platform connects what the company calls the "order-to-intake, care-to-claim, and claim-to-payment processes." The goal is to drive faster, more accurate decisions, reduce the likelihood of avoidable denials, and ultimately give health systems more predictable revenue streams. When paired with the company's existing SmarterNotes tool, it creates a single platform for both clinical documentation and utilization management.

At its core is a learning system that aims to get smarter over time. “We’ve built an intelligent automation layer that continuously learns from each review and outcome, ensuring every determination aligns with medical appropriateness, documentation integrity, and optimal reimbursement,” explained Joshua Geleris, MD, Co-Founder and Chief Product Officer of SmarterDx, a foundational part of Smarter Technologies.

This approach reflects a broader shift in the healthcare technology market. The AI in revenue cycle management sector is projected to grow exponentially, with some estimates predicting it will exceed $67 billion by 2035. Competitors like Xsolis and Health Catalyst are also leveraging AI to streamline UM, promising significant time savings and better alignment between providers and payers. Smarter Technologies is betting its deep integration of clinical and financial intelligence will set it apart.

A Digital Lifeline for a Strained Workforce

Beyond the financial impact, the launch of SmarterUtilization speaks to another crisis in healthcare: workforce burnout and shortages. Utilization management is a highly specialized field, and the staff who perform these reviews are often overwhelmed by the volume and complexity of their work.

Instead of positioning AI as a replacement for these valuable employees, Smarter Technologies frames its solution as an amplifier. The company states the platform is designed to "amplify the power of existing teams" by automating repetitive tasks and surfacing critical insights. This frees up UM nurses and specialists to focus on the most complex cases, collaborate with physicians, and apply their clinical judgment where it matters most.

This "human-in-the-loop" model is critical for gaining acceptance in a field where trust is paramount. By reducing the administrative burden, such tools have the potential to improve job satisfaction and retention for a workforce under immense pressure. The promise is to allow clinicians to practice at the top of their license, focusing more on patient care and less on paperwork. This approach aligns with a growing consensus that AI's greatest immediate value in healthcare administration is not replacing humans, but rather augmenting their capabilities and removing the friction that leads to inefficiency and burnout.

Navigating the New Frontier of AI in Healthcare

The introduction of SmarterUtilization comes as the healthcare industry stands at a crossroads with artificial intelligence. While the potential for AI to drive efficiency and improve outcomes is immense, its adoption is tempered by significant challenges and ethical considerations.

Provider organizations, while eager for solutions to their financial and operational woes, remain cautious. Past experiences with over-promised technology have bred a healthy skepticism. Furthermore, the "black box" nature of some AI algorithms—where the decision-making process is not transparent—raises concerns about accountability and trust. Issues of data privacy, algorithmic bias, and ensuring compliance with regulations like HIPAA are at the forefront of discussions about implementing these powerful new tools.

Smarter Technologies, formed in 2025 through the merger of three companies and backed by private equity firm New Mountain Capital, appears to be positioning itself to address these concerns head-on. The clinical backgrounds of its leadership, including CEO Dr. Michael Gao, who previously led AI initiatives at NewYork-Presbyterian, lend credibility to its clinician-centric design philosophy.

Ultimately, the success of SmarterUtilization and similar platforms will depend not only on their technical prowess but also on their ability to earn the trust of the clinicians and administrators they are designed to serve. The industry will be watching closely to see if this new generation of AI can deliver on its promise to heal the financial and operational strains of the modern health system, ensuring that value is no longer lost somewhere between the patient's bedside and the final payment.