Machine learning and AI in medicine – Part 2

This episode continues our discussion of artificial intelligence, or AI. We examine how to overcome the common pitfall of bias, both statistical and social, and how to use AI innovatively. We describe what AI, which encompasses machine learning and other functions, can do in chronic care management.  Finally, we’ll detail how you can help make it more viable in your organization.
 
Guest speaker:
Shannon Sims, MD, PhD
Vice President
Data Intelligence and Interoperability
Vizient
 
Moderator:
Tomas Villanueva, DO, MBA, FACPE, SFHM
Associate Vice President
Clinical Resources
Vizient
 
Show Notes
[00:25] Bias in AI
[02:32] Perpetuating bias
[02:58] Mitigating bias
[04:04] Does AI inhibit innovation?
[04:43] Changing provider behavior
[05:55] Changing patient behavior
[06:36] Chronic care management: where AI shines
[07:53] Developing AI capability in the organization
 
Links | Resources:
Machine Learning in Medicine (NEJM—April 4, 2019) Click here
HYPE Randomized Clinical Trial Click here
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data (JAMA Internal Medicine—Nov 2018) Click here
On Deep Learning for Medical Image Analysis (JAMA—Sept 18, 2018) Click here
Artificial Intelligence in Health Care: Will the Value Match the Hype? (JAMA—June 8, 2019) Click here
Artificial Intelligence in Health Care: A Report from the National Academy of Medicine (JAMA—Feb 11, 2020) Click here
Artificial Intelligence: Promise, Pitfalls and Perspective (JAMA—June 23/30, 2020) Click here
 
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Machine learning and AI in medicine – Part 1

For years relegated to science fiction, as exemplified when the HAL 9000 had a speaking role in 2001: A Space Odyssey, artificial intelligence (AI) now has become practical reality and in medicine, a long-hoped-for remedy in areas from pathology to electronic medical records. Yet, artificial intelligence, which encompasses machine learning and other functions, has limitations. In this episode, learn about the current state of artificial intelligence and what it can realistically achieve for your practice.
 
Guest speaker:
Shannon Sims, MD, PhD
Vice President
Data Intelligence and Interoperability
Vizient
 
Moderator:
Tomas Villanueva, DO, MBA, FACPE, SFHM
Associate Vice President
Clinical Resources
Vizient
 
Show Notes
[00:56] Understanding concepts around AI
[02:28] Two main functions of AI
[03:33] Importance of prescriptive analytics
[04:26] Enabling clinicians make better decisions
[05:13] Machine learning and EMRs
[06:10] AI and the coronavirus
[07:52] Structural challenges
[09:01] AI and quality
[10:09] Role of clinicians in developing solutions
[11:04] Successes and limitations
 
Links | Resources:
Machine Learning in Medicine (NEJM—April 4, 2019) Click here
HYPE Randomized Clinical Trial Click here
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data (JAMA Internal Medicine—Nov 2018) Click here
On Deep Learning for Medical Image Analysis (JAMA—Sept 18, 2018) Click here
Artificial Intelligence in Health Care: Will the Value Match the Hype? (JAMA—June 8, 2019) Click here
Artificial Intelligence in Health Care: A Report from the National Academy of Medicine (JAMA—Feb 11, 2020) Click here
Artificial Intelligence: Promise, Pitfalls and Perspective (JAMA—June 23/30, 2020) Click here
 
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How clinical leadership can access usable data to drive meaningful change – Part 2

For data to be effective, the information needs to be current. It needs to reflect what is truly significant in patient care. And it needs to encourage consistency in practice. On this episode, a leading analytics expert continues his discussion on how you and your organization can shape the wealth of data you collect to guide the care you deliver.
 
Guest speaker:
David Levine, MD, FACEP
Group Senior Vice President
Advanced Analytics and Project Management
Vizient
 
Moderator:
Tomas Villanueva, DO, MBA, FACPE, SFHM
Associate Vice President
Clinical Resources
Vizient
 
Show Notes
[00:23] The issue of data validity
[02:09] The issue of timeliness
[02:55] Data from the Wild, Wild West (ambulatory arena)
[04:03] Getting to the data—clinical data more valid than claims data
[05:10] Encouraging consistency
[06:22] Steps we can take now to better data
[06:46] Understand the data before refuting it
[08:12] The meaningless quest for an overall clinical score
[09:08] The sea of data
 
Links | Resources:
Transparency: A Critical Component in Advancing Health Care Improvement Click here
Leveraging the Power of Data and Collaboration to Change Healthcare Click here
Electronic Health Records and Meaningful Use (AHRQ) Click here
Public Health and Promoting Interoperability Programs (CDC) Click here
How hospitals can use data to improve efficiency Click here
 
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How clinical leadership can access usable data to drive meaningful change – Part 1

Big data has the potential to provide clinicians with the information they need to improve the value of their care. Yet, the challenges are in how to find the right metrics, out of all the information available, and then putting the metrics to the best use. On this episode, a leading expert in clinical analytics will discuss using data that provides a true picture of care and serves to improve care outcomes. He will also discuss what recent analysis is showing about trends during the COVID-19 outbreak.
 
Guest speaker:
David Levine, MD, FACEP
Group Senior Vice President
Advanced Analytics and Project Management
Vizient
 
Moderator:
Tomas Villanueva, DO, MBA, FACPE, SFHM
Associate Vice President
Clinical Resources
Vizient
 
Show Notes
[01:37] Elements of meaningful data
[03:06] The data will never be perfect
[03:34] Attribution challenge
[03:53] Hospitalist example
[04:53] Data from the pandemic
[07:28] Not a major investment but a major commitment
[08:52] Bringing clinicians to the table early
 
Links | Resources:
Transparency: A Critical Component in Advancing Health Care Improvement Click here
Leveraging the Power of Data and Collaboration to Change Healthcare Click here
Electronic Health Records and Meaningful Use (AHRQ) Click here
Public Health and Promoting Interoperability Programs (CDC) Click here
How hospitals can use data to improve efficiency Click here
 
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Leadership pitfalls during the pandemic – Part 2

Lack of communication and fear of telling the truth are common pitfalls for leaders, and these pitfalls lead to the staff losing trust. In this episode, we continue our discussion on how leaders can develop and hone skills to keep staff engaged. Effective leaders are coaches and foster team-based care. Their actions lead to trust and resilience, in this time of crisis and beyond.
 
Guest speaker:
David Munch, MD
Senior Principal
Vizient
 
Moderator:
Tomas Villanueva, DO, MBA, FACPE, SFHM
Associate Vice President
Clinical Resources
Vizient
 
Show Notes
[00:37] Need for leadership visibility where the work is done
[01:01] Need for inclusive communication: top-to-bottom and bottom-to-top
[02:37] Executives and middle managers average 65% of their time in meetings
[03:27] Leadership visibility in the surgical suite
[04:42] Give everyone the benefit of the doubt
[06:40] Make their job easier!
[07:45] What leaders can do today: four stages
[10:37] Having the right metrics
 
Links | Resources:
How to Succeed or Fail in Your Lean Improvement Efforts Click here
How Process Improvement Teams Can Help During the COVID-19 Crisis Click here
Lean Thinking during the COVID-19 Pandemic Click here
Resources to Support the Health and Well-being of Clinicians during the COVID-19 Outbreak Click here
 
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