Improving Definitions and Innovations for Identification and Prevention of Post-Operative Opioid-Induced Respiratory Depression (OIRD)

This conference has already taken place.

Postoperative opioid-induced respiratory depression (OIRD) is common and often missed with routine spot-check based monitoring of patients on the hospital ward and post-acute care areas, therefore, the use of continuous portable monitoring systems is of obvious benefit in these clinical settings. However, there is limited evidence using retrospective and prospective observational data that continuous monitoring systems increase detection of these perturbations compared to conventional monitoring. Continuous monitoring systems on hospital wards should lead to increased nursing interventions, however the danger is false alarms and resultant alarm fatigue will negate any proposed benefit on patient safety outcomes.

This consensus conference includes a group of highly experienced clinical researchers who will discuss and suggest designs for innovative trial mechanisms that will circumvent some of these obstacles.

REGISTRANTS HAVE THE OPTION OF PARTICIPATING IN PERSON OR ONLINE IN THIS NONPROFIT, FREE REGISTRATION EVENT.

For pricing information, see pricing tab below.

• Additional Info
• Agenda
• Pricing
• Speakers
• Location
• Accreditation & Credit Statements

Dates and Times

Start: 11/15/2024 5:00 PM
End: 11/16/2024 5:00 PM

Objectives

At the conclusion of this activity, learners will be able to:

1. Discuss the clinical characterization of the OIRD, as well as the sequence of physiological events leading to this adverse event, to implement the most accurate continuous monitoring for prevention and early diagnosis and treatment.

2. Manage preoperative comorbidities that can produce a higher incidence of postoperative OIRD.

3. Discuss the physiological and technological principles of the state-of-the-art in continuous respiratory function continuous monitoring able to detect OIRD more effectively.

4. Design high-quality prospective or retrospective trials to determine more accurately the incidence, prevention, and effectiveness of different modes of monitoring respiratory function in the detection of postoperative OIRD.

Agenda

   SESSION 4: INTEGRATING SCIENCE AND TECHNOLOGY IS NOT CERTIFIED FOR CATEGORY 1 CREDITS

Pricing

Tier	Price
Physician attending in person	$0.00
Physician participating online	$0.00
Nurse/Nurse Practitioner attending in person	$0.00
Nurse/Nurse Practitioner participating online	$0.00
Advanced Practice Provider attending in person	$0.00
Advanced Practice Provider participating online	$0.00
Researcher attending in person	$0.00
Researcher participating online	$0.00
Administrator attending in person	$0.00
Administer Participating online	$0.00
Other attending in person	$0.00
Other Participating online	$0.00

Speakers

• Basem Abdelmalak, MD
  • What does it take to create evidence-based consensus?
• Sabry Ayad, MD
  • Wireless monitoring, wearables & detection of postoperative OIRD
• Frances Chung, MBBS
  • Screening and evaluation of the patient with OSA and opioids
• Albert Dahan, MD
  • Patterns that predict patient deterioration events in real time
• Andres Daryanani, MD
  • Navigating the Regulatory Landscape for Medical Devices in the Management of Opioid-Induced Respiratory Depression
• Robert Dworkin, PhD
  • Falsely positive, falsely negative and falsely interpreted clinical trials
• Bhargavi Gali, MD
  • Does the PACU patient need a different definition for respiratory compromise?
• TJ Gan, Other
  • Strategies for preventing perioperative OIRD
• Orman Hall, DO
  • Advanced Prediction of Respiratory Depression Episode with the Linshom Continuous Predictive Respiratory Sensor
• Ken Johnson, MD
  • Opioid-Related Harm and Monitoring
• Ashish Khanna, MD
  • Summary of Key Takeaways/ Q & A
  • Ward monitoring – Current State of The Evidence
• Aaron Laposky, PhD
  • Understanding Funding and NIH Priorities
• Faisal Masud, MD
  • Launching a Wearable Program – An Institutional Experience
• Piyush Mathur, MD
  • Data-centric Research Approach for AI and ML
• Bernd Saugel, MD
  • How Do We Design Clinical Trials for Ward Monitoring?
• Aariya Srinivasan, MBBS
  • Understanding Postoperative Opioid-Induced Respiratory Depression (OIRD): Insights from Recent Research
• Andreas Taenzer, MD
  • Ward Monitoring – a Historical Perspective
• Jillian Tishko, Bachelor Degree
  • Advanced Prediction of Respiratory Depression Episode with the Linshom Continuous Predictive Respiratory Sensor
• Alparsian Turan, MD
  • Artificial Intelligence and Digital Health to Improve Perioperative Safety
• Richard Urman, MD
  • Identifying and voting on key recommendations/ Closing remarks and next steps
• Rutger van der Schrier, MD
  • Prediction tools for OIRD – What is in our armamentarium?
• Elvia Vera Miquilena, MD
  • Advanced Prediction of Respiratory Depression Episode with the Linshom Continuous Predictive Respiratory Sensor
• David Wang, PhD
  • Opioid-related central sleep apnea, is it beneficial or detrimental? - Results from the OpSafe multicentre trial
• Toby Weingarten, MD
  • OIRD on hospital wards - What has literature taught us?
• Margaret Williams, MD
  • Future opportunities in pain management, addiction, and government regulation
• Michael Wong, JD
  • Patient Advocacy for OIRD

Location

The Ohio State University Wexner Medical Center
Biomedical Research Tower
460 W. 12th Avenue
Columbus, OH 43210

Accreditation Statement

The Ohio State University is accredited by the Accreditation Council for Continuing Medical Education (ACCME®) to provide continuing medical education for physicians.

AMA Credit Designation Statement

The Ohio State University designates this live activity for a maximum of 7.50 AMA PRA Category 1 Credit(s) ^™. Physicians should only claim credit commensurate with the extent of their participation in the activity.