Wellsheet Expands AI Clinical Workflow Tool
AI clinical workflow company Wellsheet is gaining traction with health systems, becoming the go-to AI intelligence layer and clinical decision support tool across more than 100 hospitals. The company recently brought its technology to San Juan Medical Center, continuing its national expansion.
- Wellsheet's platform sits on top of existing Electronic Health Record (EHR) systems like Epic and Cerner, using FHIR APIs to pull and prioritize clinical data. This integration capability allows for deployment in a matter of weeks and aims to reduce physician time spent in the EHR by up to 40%. - The company was founded in 2015 by Craig Limoli, who previously worked as a strategy consultant at IBM Watson Health. Wellsheet has raised a total of $10.1 million in funding over 8 rounds from 13 investors, including a $3.8 million Series A round led by SpringTide Investments. - A key feature is the "Care Team Copilot," which uses AI to read the entire patient chart and generate real-time documentation for tasks like summarizing the hospital course, creating assessments and plans, and drafting discharge summaries. This is designed to support the entire care team, including physicians, nurses, and case managers. - The shift of imaging services to outpatient settings is a significant industry trend, with about 40% of all radiology volume now performed in outpatient centers or clinics. This is driven by factors like lower costs and patient convenience, leading health systems to develop strategies for coordinating imaging across both hospitals and freestanding sites. - Reimbursement changes are impacting imaging procedures, with Medicare introducing site-neutral payment proposals that would equalize reimbursement between hospital outpatient departments and freestanding imaging centers. While some advanced procedures like CCTA have seen increased reimbursement, the overall Medicare Physician Fee Schedule (MPFS) has seen reductions, putting financial pressure on imaging providers. - The U.S. diagnostic imaging market is projected to grow from approximately $149.54 billion in 2025 to $239.74 billion by 2032. Advanced modalities like CT and PET scans are expected to see significant growth in the outpatient setting. - AI in radiology is a rapidly expanding field, with the FDA having cleared hundreds of AI algorithms for medical imaging. These tools assist with tasks like flagging potential cancers, prioritizing urgent cases for review, and automating parts of the reporting workflow. - Mobile imaging is an expanding sector, driven by the need to provide services in underserved markets and to offer more convenient patient access as care continues to shift to outpatient and ambulatory settings.
