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Shifting From Autoscoring to AI Scoring
For a clinic specializing in high-volume HSTs, choosing EnsoSleep proved to be a lucrative decision.
[/vc_column_text][vc_column_text]Before moving to AI scoring, the clinic’s technologists were autoscoring all incoming HSTs. After shifting to EnsoSleep, the center cut its HST scoring time in half. In fact, the clinic repurposed more than a third of its scoring team, deploying people to critical areas so they could maximize their skill sets on other clinically important (and revenue-generating) activities.
Even with the reorganization of technologists, the sleep center was able to keep up with increasing volumes.[/vc_column_text][vc_column_text]As it steadily brought in more HSTs, it continued to produce results without incurring additional hiring or personnel costs.[/vc_column_text][us_btn label=”Download this case study” link=”url:https%3A%2F%2Fcdn2.hubspot.net%2Fhubfs%2F4433066%2FCase%2520Studies%2FShifting%2520From%2520Autoscoring%2520to%2520AI%2520Scoring.pdf||target:%20_blank|” style=”5″ icon=”fas|download”][/vc_column][/vc_row]