首页|Data from University of Michigan Update Knowledge in Artificial Intelligence (Ef fect of Ambient Voice Technology, Natural Language Processing, and Artificial In telligence on the Patient-Physician Relationship)
Data from University of Michigan Update Knowledge in Artificial Intelligence (Ef fect of Ambient Voice Technology, Natural Language Processing, and Artificial In telligence on the Patient-Physician Relationship)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on artificial intelligenc e is the subject of a new report. According to news reporting out of Wyoming, Un ited States, by NewsRx editors, research stated, "The method of documentation du ring a clinical encounter may affect the patient-physician relationship. Evaluat e how the use of ambient voice recognition, coupled with natural language proces sing and artificial intelligence (DAX™ affects the patient-physician relationsh ip is not known." The news correspondents obtained a quote from the research from University of Mi chigan: "A prospective observational study within a community teaching health sy stem. The primary aim was evaluating any difference on the PDQR-9 scale between primary care encounters in which DAX™was utilized for documentation as compared to those that did not. A signal arm open-label phase was also performed to quer y direct feedback from patients. A total of 288 patients were include in the ope n-label arm and 304 patients were included in the masked phase of the study comp aring encounters with and without DAX™use. In the open label phase patients str ongly agreed that the provider was more focused on them, spent less time typing and made the encounter feel more personable. In the masked phase of the study no difference was seen in the rank order of the total PDQR-9 score between patient s whose encounters used DAX™(median 45 [IQR 8] ) and those which did not (median 45 [IQR 3.5] ; p=0.31). The adjusted odds ratio for DAX™use was 0.8 (95% CI 0. 48-1.34) for the patient reporting complete satisfaction on how well their clini cian listened to them during their encounter."
University of MichiganWyomingUnited StatesNorth and Central AmericaArtificial IntelligenceEmerging Technologie sMachine LearningNatural Language ProcessingTechnology
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