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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedBarwise AK, Curtis S, Diedrich DA
Using artificial intelligence to promote equitable care for inpatients with language barriers and complex medical needs: clinical stakeholder perspectives.
The objectives of this planned qualitative study were to use machine learning predictive analytics to identify patients with language barriers and complex medical needs in order to prioritize them for in-person interpreters. The authors conducted semi-structured interviews with clinicians, interpreters, and staff involved in caring for patients or organizing interpreters to understand perceived risks and benefits of artificial intelligence (AI) in this domain. Perceived risks included concerns about transparency, accuracy, redundancy, privacy, stigmatization among patients, alert fatigue, and supply-demand issues; perceived benefits included increased awareness of in-person interpreters, improved standard of care, and prioritization for interpreter utilization. They concluded that the use of AI to identify and prioritize patients for interpreter services has the potential to improve standard of care and address healthcare disparities among patients with language barriers.
AHRQ-funded; HS028475.
Citation: Barwise AK, Curtis S, Diedrich DA .
Using artificial intelligence to promote equitable care for inpatients with language barriers and complex medical needs: clinical stakeholder perspectives.
J Am Med Inform Assoc 2024 Feb 16; 31(3):611-21. doi: 10.1093/jamia/ocad224.
Keywords: Health Information Technology (HIT), Disparities, Communication, Clinician-Patient Communication
Senft N, Butler E, Everson J
Growing disparities in patient-provider messaging: trend analysis before and after supportive policy.
This study examined trends in eHealth disparities before and after the introduction of US federal financial incentives. The investigators compared rates of patient-provider messaging, which was directly incentivized, with rates of looking for health information on the Web, which was not directly incentivized. The investigators concluded that disparities in provider messaging widened over time, particularly following federal financial incentives.
AHRQ-funded; HS26395; HS26122.
Citation: Senft N, Butler E, Everson J .
Growing disparities in patient-provider messaging: trend analysis before and after supportive policy.
J Med Internet Res 2019 Oct 7;21(10):e14976. doi: 10.2196/14976..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Disparities, Clinician-Patient Communication, Communication, Policy