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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. | It is a HIPAA-eligible service empowering healthcare software vendors to build clinical applications that use speech recognition and generative AI to automatically generate preliminary clinical documentation. |
Cutting Edge Algorithms; Extensible Architecture; Data Model; Highly Customizable | Summarized clinical notes;
Extract structured medical terms;
Generate rich consultation transcripts;
Eligible for HIPAA compliance |
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Stacks 2 | Stacks 0 |
Followers 3 | Followers 1 |
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| No integrations available | |

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