Vital has introduced Vital Guard, an artificial intelligence platform designed to help health systems identify and communicate incidental findings discovered in radiology reports and clinical notes. The solution addresses a critical gap in healthcare communication, as studies estimate that up to 31% of acute imaging exams contain an incidental finding, and the vast majority of patients fail to complete the recommended follow-up care.
The challenge of managing incidental findings represents one of the most significant breakdowns in the patient communication chain. When an imaging exam reveals something unexpected, such as a pulmonary nodule, an aneurysm, or signs of atherosclerosis, that finding must be communicated, tracked, and followed up on. However, in daily clinical practice, many of these findings are lost amid information overload. Vital Guard aims to solve this gap by applying natural language processing (NLP) to automatically analyze radiology reports and surface findings that require attention.
How Vital Guard Works
Vital Guard connects directly to the electronic health record (EHR) and applies advanced NLP algorithms to process radiology reports in real time. The platform automatically identifies incidental findings that were not addressed during the patient encounter, generating organized worklists prioritized by severity and risk level.
The system categorizes findings by risk tier, highlighting those requiring immediate attention, such as possible indications of cancer, aneurysms, or advanced cardiovascular disease. This categorization enables healthcare teams to prioritize their communication and follow-up efforts, focusing first on the most urgent cases. The approach parallels other initiatives in AI-driven patient follow-up in radiology, which leverage artificial intelligence to ensure patients receive necessary care following diagnostic examinations.
Once findings are identified, Vital Guard supports patient outreach through text messaging, facilitating proactive contact and reducing barriers to scheduling follow-up examinations. This automated outreach capability is essential for ensuring that potentially serious findings are not forgotten within the clinical workflow. The platform effectively bridges the gap between identification and action, transforming passive documentation into active patient management.
Pilot Results at Mercy Gilbert Medical Center
A 10-week pilot conducted at Mercy Gilbert Medical Center in Arizona demonstrated compelling results for the platform. During this period, Vital Guard reviewed more than 4,400 imaging studies, surfacing over 1,000 incidental findings. Of these, 259 cases were classified as moderate-to-high risk, prompting direct patient outreach for those affected individuals.
These numbers are particularly significant when considering that, without an automated tool, many of these findings would have gone unnoticed or remained without adequate follow-up. The pilot demonstrated that the technology can serve as an effective safety net, capturing critical information that traditional workflows frequently allow to slip through the cracks.
Dr. Justin Schrager, a physician involved in the project, emphasized the importance of the solution: “Incidental findings represent one of the most common and most preventable breakdowns in patient communication today.” This statement reflects a well-known reality in radiology: identifying a finding is only the first step; the true challenge lies in ensuring that the information reaches the patient and results in appropriate clinical action.
Impact on Patient Safety and Radiology Workflow
Managing incidental findings has profound implications for patient safety. When a finding suggestive of cancer or another serious condition is not communicated or followed up on, the consequences can be devastating, both clinically and legally. Lawsuits related to uncommunicated incidental findings are a growing concern for health systems worldwide.
Vital Guard addresses this problem systematically, creating an automated process that does not rely solely on individual healthcare professionals’ memory or attention. Just as AI for breast cancer risk detection is transforming the screening of specific conditions, Vital Guard extends this capability across the entire spectrum of incidental findings encountered in daily radiological practice.
The integration with the EHR is a key differentiator, as it allows the platform to operate within existing workflows without requiring significant changes to established processes. This approach facilitates technology adoption and reduces the resistance that often accompanies the implementation of new tools in clinical environments. Given the changes in radiology reporting systems, solutions that integrate seamlessly with the existing ecosystem hold a significant competitive advantage.
Future Outlook and Market Implications
The launch of Vital Guard reflects a growing trend in health technology: the application of AI to solve operational and communication problems that have historically depended on manual processes. With the 31% incidental finding rate in acute imaging exams, the potential market for this category of solution is enormous.
The ability to process natural language in radiology reports positions Vital Guard at the intersection of two rapidly growing fields: artificial intelligence applied to healthcare and quality management in radiology. As health systems face increasing pressure to demonstrate quality and safety outcomes, tools like Vital Guard become increasingly essential components of the care delivery infrastructure.
The proactive communication model via text messaging also deserves attention. By simplifying the patient contact process, the system removes barriers that frequently prevent adequate follow-up, such as difficulty reaching patients by phone or insufficient administrative staff time to make individual calls. This approach recognizes that modern patient engagement requires meeting people where they are, and for most patients, that means their mobile devices.
With the promising results from the pilot at Mercy Gilbert Medical Center, Vital Guard is likely to attract interest from other health systems seeking to improve their incidental findings management processes. The combination of intelligent automation, EHR integration, and proactive patient communication offers a comprehensive approach to a problem that affects millions of patients annually, positioning the platform as a potential standard of care for radiology departments committed to closing the follow-up gap.
Source: DotMed