OhioHealth Selects Qventus to Automate Enterprise-Wide Care Operations
OhioHealth has significantly expanded its partnership with healthcare AI company Qventus, adopting additional artificial intelligence-powered solutions designed to automate care operations across its enterprise. The expanded collaboration introduces Qventus’ Perioperative Care Coordination and Surgical Growth platforms, building upon the success of the organization’s previously implemented Inpatient Capacity Solution, which has already delivered measurable improvements in operational efficiency, financial performance, and patient care.
The move reflects a broader transformation taking place across the healthcare industry as hospitals and health systems increasingly leverage artificial intelligence to streamline complex clinical workflows, reduce administrative burdens on frontline caregivers, improve patient access to care, and optimize the use of limited healthcare resources. By extending AI beyond inpatient capacity management into surgical operations and perioperative care, OhioHealth aims to create a more connected, efficient, and patient-centered healthcare delivery model.
Expanding an Already Successful Partnership
OhioHealth’s decision to broaden its use of Qventus technology follows several years of positive outcomes achieved through the deployment of the company’s Inpatient Capacity Solution.
According to the organizations, the AI-powered platform has produced substantial operational improvements, including the elimination of nearly 13,000 excess hospital days, an achievement equivalent to approximately 35 years of unnecessary inpatient stays. In addition, the system generated approximately $5.1 million in cost savings while automating nearly 2,900 hours of administrative work, allowing frontline healthcare professionals to spend more time caring for patients instead of managing repetitive operational tasks.
These measurable results provided OhioHealth with confidence that artificial intelligence could deliver meaningful value beyond isolated use cases.
Rather than implementing standalone AI tools for individual departments, the health system has chosen to expand toward an enterprise-wide operational platform capable of coordinating multiple aspects of patient care simultaneously.
The Growing Role of Artificial Intelligence in Healthcare Operations
Healthcare organizations around the world continue to face mounting operational challenges.
Growing patient volumes, workforce shortages, increasing administrative complexity, and rising healthcare costs have placed unprecedented pressure on hospitals to improve efficiency without compromising quality of care.
Artificial intelligence has rapidly emerged as one of the most promising technologies capable of addressing these challenges.
Unlike earlier automation tools that focused primarily on isolated administrative functions, today’s AI platforms can coordinate workflows across departments, analyze clinical and operational data in real time, prioritize tasks, and support clinical staff throughout the patient journey.
These capabilities allow healthcare professionals to focus more of their time on direct patient care while reducing repetitive administrative work often described as “below-license” tasks—activities that consume valuable clinical time but do not require the expertise of highly trained physicians or nurses.
Despite the industry’s enthusiasm for AI, widespread implementation has remained relatively limited.
Recent industry research cited by Qventus indicates that approximately 65% of health system leaders rate the pressure to operationalize artificial intelligence at seven or higher on a ten-point scale. However, only about 4% of healthcare organizations have successfully implemented AI at scale while demonstrating measurable operational outcomes.
OhioHealth represents one of the growing number of organizations moving beyond pilot programs toward enterprise-wide AI adoption.
Supporting OhioHealth’s Strategic Goals
OhioHealth views artificial intelligence not simply as a technology investment but as an important component of its long-term strategy to improve patient care while supporting healthcare workers.
Brian Jepson, Market President at OhioHealth, explained that the organization remains committed to adopting technologies that strengthen healthcare delivery while reducing burdens on caregivers.
Building upon the organization’s previous success using Qventus’ operational platform, OhioHealth is now extending AI into perioperative care to improve surgical preparation, reduce administrative complexity, and increase patient access to surgical services through more efficient scheduling.
These initiatives directly support OhioHealth’s mission of improving the health of the communities it serves while simultaneously addressing growing operational pressures across the healthcare system.
Transforming Perioperative Care Through AI
One of the most significant components of the expanded partnership involves implementation of Qventus’ Perioperative Care Coordination (PCC) Solution.
Preparing patients for surgery is an extremely complex process involving numerous administrative, clinical, and logistical tasks.
Before undergoing surgery, patients typically require medical history reviews, laboratory testing, medication reconciliation, risk assessments, scheduling coordination, insurance verification, and communication among multiple clinical teams.
Much of this work traditionally falls upon nurses working within Pre-Admission Testing (PAT) clinics.
These responsibilities often require highly skilled nursing professionals to spend significant portions of their day completing administrative activities rather than delivering direct patient care.
Qventus aims to change that dynamic through AI-powered automation.
AI Assistants Supporting Pre-Admission Testing Teams
The Perioperative Care Coordination platform introduces what Qventus describes as intelligent AI assistants designed to function as digital teammates for PAT nurses.
Rather than replacing healthcare professionals, these AI tools automate many of the repetitive tasks associated with surgical preparation.
Among their capabilities are:
- Locating and organizing patient medical records.
- Confirming patient availability for appointments and telephone consultations.
- Reviewing extensive medical charts and producing concise clinical summaries.
- Identifying patient-specific surgical risks through automated risk stratification.
- Coordinating workflow activities across multiple departments.
By automating these labor-intensive administrative responsibilities, nurses can devote significantly more attention to patient education, clinical assessment, and individualized care planning.
Importantly, the platform was developed in collaboration with practicing anesthesiologists and experienced pre-admission testing nurses, ensuring that the AI reflects real-world clinical workflows rather than theoretical process designs.
Unlike many AI products focused solely on voice communication or scheduling automation, the Qventus solution addresses the full complexity of perioperative care coordination.
Reducing Surgery Cancellations
One of the primary goals of implementing AI within perioperative care is reducing last-minute surgery cancellations.
Cancelled surgical procedures create significant disruptions for patients, physicians, and healthcare organizations alike.
Patients often experience emotional stress, additional travel expenses, and delays in receiving necessary treatment.
Hospitals lose valuable operating room time while surgeons face scheduling inefficiencies that can affect both productivity and patient access.
Many cancellations occur because necessary clinical information, laboratory results, insurance approvals, or patient preparation steps remain incomplete during the days immediately preceding surgery.
The Qventus platform helps identify these issues earlier in the surgical planning process, allowing care teams to resolve problems well before scheduled procedures.
As a result, OhioHealth expects to reduce cancellations occurring within the critical 72-hour window before surgery while ensuring patients arrive fully prepared for their procedures.
Driving Strategic Surgical Growth
In addition to improving perioperative coordination, OhioHealth has implemented Qventus’ Surgical Growth Solution, another AI-powered platform designed to optimize operating room utilization and expand surgical capacity.
Many healthcare organizations struggle with operating room scheduling inefficiencies despite investing heavily in electronic health records and scheduling technologies.
Traditional scheduling systems frequently rely upon manual coordination, first-come-first-served scheduling approaches, and static calendars that fail to adapt to changing surgeon preferences or evolving clinical priorities.
OhioHealth sought a more intelligent approach after previous scheduling technologies did not fully achieve its strategic growth objectives.
Intelligent Operating Room Optimization
The Surgical Growth platform introduces AI-powered workflow orchestration capable of coordinating operating room scheduling continuously.
Integrated directly within OhioHealth’s Epic electronic health record and affiliated clinic electronic medical record systems, the AI operates around the clock to optimize surgical scheduling.
Rather than simply filling available operating room time slots, the platform evaluates numerous factors simultaneously, including surgeon preferences, historical scheduling behavior, operating room availability, case complexity, and institutional priorities.
Machine learning algorithms analyze these variables to recommend optimal scheduling decisions that maximize operating room utilization while supporting organizational growth objectives.
The system intelligently matches available operating room capacity with the most appropriate surgeons and procedures, reducing scheduling inefficiencies commonly associated with manual or first-come-first-served processes.
Increasing Access to Surgical Care
Optimizing operating room schedules has important implications beyond operational efficiency.
When operating rooms function more effectively, hospitals can perform additional procedures without necessarily expanding facilities or increasing staffing levels.
Improved scheduling allows healthcare organizations to:
- Increase surgical case volumes.
- Expand access for independent surgeons.
- Improve utilization of robotic surgery programs.
- Enhance operating room efficiency during peak hours.
- Reduce patient wait times.
- Strengthen service line growth across multiple specialties.
Ultimately, these improvements allow more patients to receive timely surgical care while increasing organizational productivity.
From Departmental AI to Enterprise Automation
OhioHealth’s expanded partnership reflects a broader industry trend toward enterprise-wide automation.
Historically, hospitals have adopted isolated software applications designed to solve individual operational problems.
One department might implement discharge planning software while another adopts scheduling tools or communication platforms.
Although helpful, these fragmented technologies often create disconnected workflows requiring multiple interfaces and duplicate data entry.
Qventus instead promotes an integrated enterprise platform where AI assistants work collaboratively across multiple care settings.
This unified approach enables healthcare organizations to standardize operational processes while maintaining seamless integration with existing clinical technologies.
Deep Integration With Existing Clinical Systems
One of the distinguishing features of the Qventus platform is its integration with electronic health records.
Rather than requiring clinicians to learn entirely new software environments, Qventus embeds AI functionality directly within existing Epic workflows and clinic EMRs.
This approach minimizes disruption while improving clinician adoption.
Healthcare professionals continue working within familiar systems while AI quietly automates background processes, coordinates information, and assists with administrative responsibilities.
Such seamless integration reduces implementation complexity while accelerating organizational return on investment.
Addressing Workforce Challenges
Healthcare workforce shortages remain one of the industry’s most pressing concerns.
Nurses, physicians, care coordinators, and administrative staff frequently report excessive workloads driven not only by patient care but also by documentation, scheduling, communications, and operational coordination.
Artificial intelligence offers an opportunity to relieve many of these pressures.
Rather than replacing healthcare workers, platforms like Qventus are designed to eliminate repetitive administrative activities that contribute to clinician burnout.
Reducing these burdens enables healthcare professionals to practice at the highest level of their clinical training while improving both employee satisfaction and patient experiences.
Leadership Highlights Long-Term Vision
Mudit Garg, Chief Executive Officer and co-founder of Qventus, emphasized that the company’s solutions are developed in close partnership with clinicians who understand the realities of healthcare delivery.
According to Garg, the primary objective is removing administrative burdens so care teams can focus their attention on patients rather than paperwork.
He noted that healthcare organizations frequently begin by implementing AI within a single operational area before recognizing its broader potential across the enterprise.
OhioHealth exemplifies this progression.
After observing measurable improvements in inpatient capacity management, the organization expanded AI into perioperative services and surgical operations, demonstrating confidence that enterprise-wide automation can deliver sustained improvements in operational performance.
Garg also highlighted OhioHealth’s leadership in recognizing that artificial intelligence should not be viewed merely as a collection of isolated software tools but as a comprehensive platform capable of generating long-term financial benefits, improving patient outcomes, reducing surgery cancellations, and supporting strategic organizational growth.
The Future of AI-Driven Care Operations
As healthcare systems continue to navigate increasing financial pressures, workforce shortages, and rising patient demand, enterprise AI platforms are becoming an increasingly important component of modern healthcare infrastructure.
OhioHealth’s expanded collaboration with Qventus illustrates how artificial intelligence is evolving beyond experimental pilot projects into large-scale operational transformation. By integrating AI across inpatient capacity management, perioperative coordination, and surgical scheduling, the health system is creating a connected care operations ecosystem designed to improve efficiency, enhance patient experiences, and strengthen clinical performance.
With proven results already demonstrated through reduced hospital stays, millions of dollars in cost savings, and thousands of hours of administrative work eliminated, the expanded partnership positions OhioHealth to further modernize care delivery while enabling clinicians to devote more time to what matters most—providing high-quality patient care. As more health systems pursue enterprise-wide automation, initiatives like this may help define the next generation of intelligent healthcare operations.
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