Case Study: Improving Medical Message Intake With Augmented Intelligence for Your Operators

How accurate are the medical messages that your nonclinical operators send to your providers? According to Gilman and Bedigian, LLS, a law firm that specializes in medical malpractice, one of…

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TriageLogic’s Dr. Ravi Raheja to Discuss Using Technology to Assist Triage Nurses at HCCT Conference

There are those in the healthcare community who may feel uneasy by the prospect of artificial intelligence (AI) being used in their respective fields. In our experience, however, technology can…

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Clinical Review Shows How MedMessage Automate Substantially Improves Patient Caller Safety

Patient callers with medical symptoms require medical professionals who can respond within specific callback windows, based on the severity of those symptoms. While it depends on the practice, nonclinical personnel…

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Medical Answering Service Case Study: Improve Medical Messages with Artificial Intelligence

In the United States, about 100 million messages are relayed to doctors and nurses every month. About one in six calls have a symptom that needs to be evaluated urgently.…

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Average Times for Patient Call-Backs From Nurse Triage: Emergent, Urgent, and Non-Urgent

Many telehealth nurse triage departments rely on patient call-backs to help address those with the most pressing medical needs. But how are these calls prioritized, and what call-back times are…

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