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In order for an organization to be able to aggregate and manage clinical data on behalf of a patient, it is of utmost importance that the organization is able to accurately identify distinct patients whose data is collected across multiple sources. The presence of duplicate patient demographic records in a system introduces many inefficiencies and costs to an organization. Various industry studies have concluded that the rate of duplicate records in a typical Electronic Medical Record system ranges between 5 and 20 percent of all patient records. By using OpenEMPI, an organization can quickly and accurately identify and resolve duplicate records in their systems, resulting in improved quality of care and considerable cost savings. | Droidal Voice AI Agent automates scheduling, insurance verification, prior authorizations, and claim follow-ups. It handles payer calls, updates EHR/RCM systems in real time, and cuts manual work by 70%. HIPAA-compliant and built for healthcare RCM teams. |
Cutting Edge Algorithms; Extensible Architecture; Data Model; Highly Customizable | Droidal Voice AI Agent automates patient and payer communication across core revenue cycle workflows, including appointment scheduling, insurance verification, benefit collection, prior authorization calls, claim status follow ups, and payment reminders. It captures accurate information through natural voice interactions, documents every call, and updates EHR and RCM systems in real time. The platform operates continuously, supports multilingual communication, maintains HIPAA compliance, and scales easily across clinics, hospitals, and enterprise revenue cycle teams. |
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