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Total Results: 4 records

Showing results for "race ethnicity".

1. Outcomes and Objectives Workgroup: Integration of Patient-Centered Clinical Decision Support Into Shared Decision Making (pdf file)
   cdsic.ahrq.gov/sites/default/files/2023-09/FINAL%20OO%20PC%20CDS%20SDM%20Report.pdf
   January 01, 2023 - The platform incorporates family history, race, ethnicity, and breast density to generate a risk profile … Web-based Recommendations tailored by tailored to race, age, and personal factors reported as influencing … Screening Women between 40–49 years old EHR Personalizes risk profile based on family history, race … , ethnicity, and breast density Liu Y, Kornfield R, Yang EF, Burnside E, Keevil J, Shah DV.

2. Trust & Patient-Centeredness Workgroup: Improving the Source Credibility of Patient-Centered Clinical Decision Support Tools (pdf file)
   cdsic.ahrq.gov/sites/default/files/2023-08/Final%20TPC%20P3_Source%20Credibility%20to%20AHRQ%208.2.23_508c%20Version.pdf
   January 01, 2023 - be influenced by individual-level factors such as: • Sociodemographic characteristics (e.g., age, race … or ethnicity, condition or disease status, health and digital literacy) … Consider the example of a patient who identifies with a particular racial or ethnic group that experienced … Patient-centered communication, ratings of care, and concordance of patient and physician race. … Is doctor-patient race concordance associated with greater satisfaction with care?

3. Trust and Patient-Centeredness Workgroup: Patient and Caregiver Perspectives on Generative Artificial Intelligence in Patient-Centered Clinical Decision Support (pdf file)
   cdsic.ahrq.gov/sites/default/files/2024-07/OY1_FINAL%20TPC%20Patient%20Perspectives%20Generative%20AI.pdf
   January 01, 2024 - backgrounds, there is a need to explore views across different populations based on factors like age, race … sample to identify and compare perspectives across different populations based on factors such as age, race … Critically, views on healthcare AI often differ based on demographic characteristics, such as age, race

4. Implementation, Adoption, and Scaling Workgroup: Exploring Challenges and Opportunities for Patient Engagement, Implementation, Adoption, and Scaling Through PC CDS Case Studies (pdf file)
   cdsic.ahrq.gov/sites/default/files/2024-09/Final%20IAS%20PC%20CDS%20Case%20Studies%20Report_2.pdf
   January 01, 2024 - Rates of adoption also varied by patient characteristics, including race and insurance.