Relatient为Dash Voice AI平台推出临床请求自动化功能

What You Should Know Relatient has expanded its Dash Voice AI platform with a new clinical request automation capability designed to handle non-scheduling patient phone inquiries. Approximately 35% of all inbound calls received by healthcare organizations represent clinical requests, including questions for nursing staff, medication and prescription inquiries, and billing details. The agentic voice system captures caller intent in real time, leverages appointment context and electronic health record (EHR) data, and attaches structured notes directly into existing EHR work queues without human intervention. The automated request capability is live today across Relatient’s client footprint, which supports over 50,000 providers and manages 150 million appointments annually. Real-Time Contextual Triaging and Direct EHR Tasking Relatient’s clinical request automation operates by embedding conversational intelligence directly inside the patient access layer, converting unstructured voice audio into actionable clinical tasks: Context-Aware Real-Time Triaging: Dash Voice AI evaluates the caller’s intent using historic appointment context, underlying EHR demographic files, and clinical information disclosed during the call. Direct EHR Integration: The solution automatically builds an actionable, structured task—replete with summary notes—directly within existing EHR and practice management workflows without requiring staff intervention. Custom Organizational Logic: Provider groups retain complete control over routing rules, designating specific request types to targeted departments (e.g., surgical, billing, or specialty triage nurses). Measurable Staff Time Savings: For practices handling over 1,000 voicemails weekly, automated clinical tasking returns more than 300 staff hours per week back to direct patient care. “Dash Voice AI already autonomously handles thousands of scheduling-related calls for our clients without the need for human intervention, but scheduling only represents about half of patient inquiries,” stated Jeff Gartland, CEO of Relatient. “This new capability allows every nurse question, prescription request, and billing inquiry to transform into an actionable task the moment the call ends. Our data shows that for organizations fielding more than a thousand voicemails per week, our Voice AI can save over 300 staff hours in that same time—hours they can now spend on patient care.” Prioritizing ROAI in an Era of Healthcare Labor Drag The release of Relatient’s clinical request automation for Dash Voice AI directly reinforces the “Operational Layer and Input Data Rationalization” trend dictating modern healthcare IT purchasing decisions. Across ambulatory medical groups and enterprise health systems, executive boards have frozen capital allocation for speculative point solutions or passive databases. Instead, leadership teams are aggressively funding Intelligent Workflow Automation and Agentic Voice Layers capable of generating immediate, verifiable Return on AI and Platform Investment (ROAI ). Furthermore, as medical practices confront persistent clinical staffing shortages, eliminating the administrative friction of manual voicemail transcription directly mitigates burn-out and prevents patient attrition.