Cleveland Clinic and Luminai Co-Develop AI to Automate Clinical Workflows
The health system is deploying AI-native automation to reduce administrative burdens, starting with the triage and routing of external referrals.
Cleveland Clinic has entered a partnership with Luminai to co-develop and deploy AI automation across its complex administrative workflows. The collaboration aims to reduce the operational burden on clinical staff by replacing manual back-office tasks with AI-native automation.
The partnership focuses on the co-development of bespoke AI tools rather than the implementation of a standardized software configuration. The first priority for deployment is the automation of external referral processing. According to industry reports, Luminai’s platform will identify, triage, and route incoming referrals—including those arriving via fax—to minimize the need for manual review by staff.
The Push for Agentic AI
Healthcare systems are increasingly turning toward "agentic" AI and native automation to combat systemic operational inefficiency and clinician burnout. For years, administrative bottlenecks—particularly document ingestion and referral management—have hindered patient care coordination. These processes have traditionally relied on manual data entry and human triage, creating delays in how patients move through the healthcare system.
Impact on Clinical Operations
By automating the administrative "back-office" of clinical care, Cleveland Clinic intends to improve overall patient satisfaction and allow medical professionals to prioritize patient outcomes over paperwork. This approach marks a strategic shift toward deep AI integration, where engineering teams work directly with clinical staff to ensure the technology mirrors the actual realities of hospital operations.
Rohit Chandra, Ph.D., Cleveland Clinic’s chief digital officer, emphasized the necessity of this tailored approach, stating that "automation only delivers value when it reflects the realities of clinical and operational work."
Scaling AI Infrastructure
As the partnership rolls out, Luminai is scaling its capabilities following a $38 million Series B funding round intended to expand its AI platform. While the current focus remains on the referral pipeline, the broader goal is to identify further complex administrative workflows that can be automated to streamline health system operations.
Observers will be watching to see if this co-development model becomes a blueprint for other large health systems seeking to move beyond off-the-shelf AI solutions in favor of tools built specifically for their unique operational constraints.