AI in Rhapsody EMPI Improves Patient Matching
Drew Ivan, Chief Strategy Officer and Chief Architect at Rhapsody, a global leader in digital health enablement, describes in this interview their recent addition of machine learning to their Enterprise Master Patient Index (EMPI) tool.Patient matching is hard work and there are risks both to making an incorrect match and to maintaining separate records for the same patient. An incorrect match runs the risk of a HIPAA violation where patient information is shared incorrectly and if the patient information is stored in two records that can lead to care issues where the clinician doesn’t have access to the patient’s full record.Learn more about Rhapsody: https://rhapsody.health/Health IT Community: https://www.healthcareittoday.com/