Delirium occurs in up to 80% of patients admitted to the Intensive Care Unit (ICU) and is a major risk factor for Post-Intensive Care Syndrome (PICS). In addition to delirium, ICU patients experience pain and anxiety secondary to procedures, invasive ventilation, forced immobilization, and inability to communicate. Our symposium presents innovative clinical care approaches leveraging technology to provide non-pharmacological interventions for management of pain, anxiety, and delirium. We will also present machine learning approaches for patient assessment, patient communication technology, music applications to manage delirium, pain and anxiety, and telehealth-based cognitive and physical training for ICU delirium survivors.
• Describe novel non-pharmacological interventions to manage pain, anxiety, stress and delirium, and how they can be utilized to improve delirium outcomes in critically ill adults
• Define strategies and pitfalls involving use of technologies to aid patient assessment in the ICU, including machine-learning technologies
• Apply an understanding of the advantages and challenges of novel technologies, and how to implement these to improve outcomes in ICU delirium survivors
Linda Chlan, PhD, RN, ATSF
Babar Khan, MD
Annette Heiderscheit, PhD, MT-BC, LMFT
Sikandar Khan, DO
Heidi Lindroth, PhD, RN
Jill Guttormson, MS, PhD, RN
Ready for Prime Time: Novel Technology Applications to Manage Pain, Anxiety, Sleep in ICU Patients
Revitalizing Brain Body After Critical Illness: Lessons Learned from a Remote, Video-Based Physical and Cognitive Training Program
Designing and Implementing a Music Listening Intervention to Manage the Complex Needs of Patients in the ICU Environment
Benefits and Challenges in Implementation of a Music Intervention Application in an Academic ICU
Safer Than Skynet: Using Machine Learning to Save Patients from Delirium
We Can't Manage What We Do Not Assess: Supporting Patient Communication and Symptom Assessment in the ICU