NERVES October Virtual Mini-Conference
October 20, 2021 | 2:00pm - 4:30pm
 
More than just a few hours of webinars, the NERVES 2021 October Virtual Mini-Conference provides an engaging virtual conference experience for our neurosurgery administrators and managers. Join us as we hear from renown speakers you cannot afford to miss, as well as an opportunity for you to meet with your peers during our roundtable discussions. Register today for yourself and others from your organization who may benefit!
 
Registration for this event is free, thanks to our Platinum Sponsors Curi and Hub International!
 
 
Mini Conference Schedule
 
2:00pm – 2:50pm
Tim Roberts Annual Keynote Address:
Professionalism, Pursuit of High Reliability, Quality and Safety
Gerald B. Hickson, MD
Joseph C. Ross Chair in Medical Education & Administration Professor of Pediatrics
Founding Director, Vanderbilt Center for Patient & Professional Advocacy
2:50pm - 3:35pm
The Growing Demand For AI in Clinical Medicine - William Gordon, MD, MBI; Brigham and Women’s Hospital, Harvard Medical School
3:45pm – 4:30pm
Roundtable Discussions Academic Practice
Hospital Based Practices
Private - Small (1-5 Surgeons)
Private - Medium & Large (6+ Surgeons)
 
Presentations
Tim Roberts Annual Keynote Address Professionalism and the Pursuit of High Reliability, Quality and Safety
Gerald B. Hickson, MD
Joseph C. Ross Chair in Medical Education & Administration, Professor of Pediatrics
Founding Director, Vanderbilt Center for Patient & Professional Advocacy
 
In an increasingly competitive and metric driven health environment, how do leaders of medical groups identify and address faulty systems of care and unreasonable variation in clinicians’ performance? Using a case study and audience electronic polling, attendees will be introduced to the Vanderbilt approach (people, organization, and systems) to the pursuit of professionalism and high reliability that drive safety, right outcomes of care and patient satisfaction.
 
Objectives:
  1. Identify behaviors that impact an organization’s pursuit of professionalism and a culture of safety, respect, and high reliability
  2. Recognize the relationships between disrespectful/unprofessional behaviors and adverse outcomes of care
  3. Recognize that patients/families and fellow team members are uniquely positioned to observe dysfunctional systems and poorly performing clinicians
  4. Describe the essential elements (people, organization, and systems) needed to sustain a reliable approach to supporting pursuit of professional accountability
  5. Understand how to use the Vanderbilt professional accountability pyramid as a model for promoting professionalism and a culture of safety and respect
 
The Growing Demand for AI in Clinical Medicine
William Gordon, MD, MBI, Brigham and Women’s Hospital, Harvard Medical School sponsored by Curi & Hub International
 
Healthcare delivery in the United States is at an important juncture. On the one hand, research into human biology is rapidly discovering novel disease pathways, unlocking new diagnostic and therapeutic potential. Yet health outcomes, particularly in the US, are not keeping up: life expectancy is actually decreasing. Additionally, care in the US is comparatively expensive—we are paying more for less. Artificial intelligence—broadly defined as the development of intelligent machines (computer systems) that perform functions such as thinking and problem-solving that normally require human intelligence—holds tremendous promise for improving healthcare delivery. Yet there is a gap between what is possible and what has been realized.
 
In this presentation, we will focus on applications of artificial intelligence and machine learning in the health care delivery setting, i.e. for clinicians and provider organizations. AI offers compelling opportunities to improve efficiency, reduce errors, and incorporate increased evidence-based decision support. However, challenges abound in areas such as data security, patient privacy, legal liability, and the challenges of applying AI tools in new contexts. Despite the abundance of challenges in this space, the application of secure, well-validated AI systems holds great potential for improving healthcare delivery, both now and into the future.