Clinician-Scientists Transdisciplinary Aging Research (CLIN-STAR) Paper Session

All sessions are listed in Central Time (CT). 

Paper Session

  • Date:
  • Time: -
  • Track: Research
  • Location: Grand Hall GH
  • CME/CE: 1.0

Developed by the Research Committee
Moderator: Thomas N. Robinson, MD 

Learning Objectives: (1) describe a model which could accurately identify delirium in the ED using data from the electronic health record; (2) discuss the use of machine learning (ML) techniques to improve prediction of aspiration through acoustic analysis of pre- and post- swallow phonation; (3) review the effect of BC/WC-GeriOnc training versus enhanced usual care on SDM; (4) compare long-term GC use in LORA by DMARD status.

Phenotypes of Delirium Among Elders in the Emergency Department      
Scott M. Dresden, MD, MS
Acoustic Analysis-Based Machine Learning Approaches to Screening for Aspiration Risk in Older Adults with Swallowing Dysfunction     
Anaïs Rameau, MD
Cluster Randomized Controlled Pilot Trial of the Best Case/Worst Case-Geriatric Oncology (BC/WC-GeriOnc) Communication Tool: Effects on Shared Decision Making (SDM)  
Melisa L. Wong, MD, MAS, AGSF
Association Between In-Hospital Rehabilitation and Days Alive and at Home Following Critical Illness in Older Adults
Snigdha Jain, MD, MHS