• Skip to primary navigation
  • Skip to main content
  • Skip to footer
Stanford Aging and Ethnogeriatrics Research Center (SAGE Center)

Stanford Aging and Ethnogeriatrics Research Center (SAGE Center)

Ace Aging

  • LinkedIn
  • Twitter
  • Home
  • About Us
  • Awardees
  • Faculty
  • Research Methodology Podcasts
  • Research
  • Contact Us

Articles, Emotional Wellbeing, Featured, Physical Wellbeing, Social Wellbeing, Spiritual Wellbeing, Videos

High School students trained to become cultural ambassadors for aging and end of life issues

Leave your comment: 3 comments so far

To improve end-of-life care in the United States, especially among minorities, much work will need to be done to build trusting relationships, ones in which patients feel comfortable in engaging in end-of-life conversations. Based on recommendations from multi-ethnic patients and families, Stanford launched the Letter Project, a grass-roots campaign to empower multi-ethnic patients to initiate end-of-life conversations with their doctors.

We’re working with 13 different ethnic groups and training students and community leaders in end-of-life care in order for them to serve as cultural ambassadors and facilitate good care for the groups they represent. We recently trained a group of underserved Hispanic high school students from the Leadership Public School San Jose to bring important messages about end-of-life care to their families and communities. Students came to Stanford for boot camp on aging and end-of-life issues and learned to help seniors in their communities document their end-of-life wishes.

To read more please check out recent article posted by the Washington Post on our Letter Project: The silver tsunami is actually silver-brown. How does end-of-life care differ for minorities?

Share this:

  • Twitter
  • Facebook
Previous Post: « Doctors struggle with conducting end-of-life conversations with their patients
Next Post: The Proxy Predicament: Making Medical Decisions for Others is Hard »

Ace Aging

Footer

Stanford Medicine

  • About
  • School Administration
  • Contact
  • Maps & Directions
  • Jobs

 

  • Basic Science Departments
  • Clinical Science Departments
  • Academic Programs
  • Diversity Programs

Healthcare

  • Find a physician
  • Clinical Trials
  • Patient Information
  • Contact

Related

  • Ethnogeriatrics
  • Salud (Spanish Health Site)
  • Project Respect
  •   Find People
  •   Visit Stanford
  •   Search Clinical Trials
  •   Give a Gift

Copyright © 2023 Stanford Medicine
Privacy Policy | Terms of Use

    Next-Generation Artificial Intelligence for Diagnosis: From Predicting Diagnostic Labels to "Wayfinding"

    Julia Adler-Milstein, PhD1; Jonathan H. Chen, MD, PhD; Gurpreet Dhaliwal, MD

    Improving the diagnostic process is a quality and safety priority.With the digitization of health records and rapid expansion of health data, the cognitive demand on the diagnostician has increased. The use of artificial intelligence (AI) to assist human cognition has the potential to reduce this demand and associated diagnostic errors. However, current AI tools have not realized this potential, due in part to the long-standing focus of these tools on predicting final diagnostic labels instead of helping clinicians navigate the dynamic refinement process of diagnosis. This Viewpoint highlights the importance of shifting the role of diagnostic AI from predicting labels to “wayfinding” (interpreting context and providing cues that guide the diagnostician).