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AI/ML (732)

1:27

Forecasting trends for AI, IoT and other 'digital frontiers'

Andrew Rebhan, consultant at The Advisory Board, discusses new advances in artificial intelligence and other emerging tech for which hospitals should prepare: biopsychosocial IT, internet of things, 3D printing, augmented reality and more.

Forecasting trends for AI, IoT and other 'digital frontiers'
Andrew Rebhan, consultant at The Advisory Board, discusses new advances in artificial intelligence and other emerging tech for which hospitals should prepare: biopsychosocial IT, internet of things, 3D printing, augmented reality and more.
1:27
3:05

How one CMIO uses machine learning to improve care

Dr. Michael Sanders, chief medical information officer at Flagler Hospital in St. Augustine, Florida, describes how clinicians there are using unsupervised learning algorithms to reduce costs and prevent medical errors.

How one CMIO uses machine learning to improve care
Dr. Michael Sanders, chief medical information officer at Flagler Hospital in St. Augustine, Florida, describes how clinicians there are using unsupervised learning algorithms to reduce costs and prevent medical errors.
3:05
3:42

AI is having real-world impact at Cleveland Clinic, Duke and beyond

Todd Schlesinger, VP of business development at Jvion, says AI has already moved beyond its status as a novel technology with exciting potential use cases, to one that is already helping solve real-world challenges and improving patient outcomes.

AI is having real-world impact at Cleveland Clinic, Duke and beyond
Todd Schlesinger, VP of business development at Jvion, says AI has already moved beyond its status as a novel technology with exciting potential use cases, to one that is already helping solve real-world challenges and improving patient outcomes.
3:42
1:40

How Phoenix Children's Hospital uses data to improve patient outcomes

Dr. Vinay Vaidya, chief medical information officer at Phoenix Children's Hospital, describes how the health system is deploying analytics for its chronic disease management program, longitudinally tracking patients with an actionable dashboard.

How Phoenix Children's Hospital uses data to improve patient outcomes
Dr. Vinay Vaidya, chief medical information officer at Phoenix Children's Hospital, describes how the health system is deploying analytics for its chronic disease management program, longitudinally tracking patients with an actionable dashboard.
1:40
8:23

How Cleveland Clinic harnesses machine learning for its pop health goals

Joseph Dorocak, manager of population health analytics at Cleveland Clinic, describes some of the staffing and process strategies the health system uses as it puts AI to work for two intertwined aims: better patient outcomes and financial return.

How Cleveland Clinic harnesses machine learning for its pop health goals
Joseph Dorocak, manager of population health analytics at Cleveland Clinic, describes some of the staffing and process strategies the health system uses as it puts AI to work for two intertwined aims: better patient outcomes and financial return.
8:23
7:03

How to operationalize AI, putting it to work for better care at lower cost

Machine learning is only a means to an end, helping organizations learn from data more quickly and intuitively, says Leonard D'Avolio, founder and CEO of Cyft.

How to operationalize AI, putting it to work for better care at lower cost
Machine learning is only a means to an end, helping organizations learn from data more quickly and intuitively, says Leonard D'Avolio, founder and CEO of Cyft.
7:03
6:09

Bundling predictive and descriptive analytics to create patient risk scores

Westchester Medical Center integrated data from the EHR using a machine learning algorithm to connect patients to the right sources of care, according to Simer Sodhi, the organization's director of data management & analytics.

Bundling predictive and descriptive analytics to create patient risk scores
Westchester Medical Center integrated data from the EHR using a machine learning algorithm to connect patients to the right sources of care, according to Simer Sodhi, the organization's director of data management & analytics.
6:09
6:32

Digital health 'sherpas' helping guide the journey of bringing AI to healthcare

Dr. Sujay Kakarmath, digital health scientist at Partners HealthCare Pivot Labs, explains how the Boston organization is enabling collaboration between hospitals, health systems and other stakeholders such as big tech and pharma.

Digital health 'sherpas' helping guide the journey of bringing AI to healthcare
Dr. Sujay Kakarmath, digital health scientist at Partners HealthCare Pivot Labs, explains how the Boston organization is enabling collaboration between hospitals, health systems and other stakeholders such as big tech and pharma.
6:32
5:56

How blockchain and AI can work together for healthcare

Tej Anand, professor of practice at the University of Texas' McCombs School of Business, explains how the most promising use case for blockchain in healthcare is the elimination of "redundant work, rework and reconciliation."

How blockchain and AI can work together for healthcare
Tej Anand, professor of practice at the University of Texas' McCombs School of Business, explains how the most promising use case for blockchain in healthcare is the elimination of "redundant work, rework and reconciliation."
5:56
4:07

AI in healthcare has come a long way, and quickly - where's it going next?

Badrul Husain, CEO of Infolytx, explains how his company's natural language processing technology is helping with clinical trial cohorts, and discusses how AI is gaining real traction elsewhere across healthcare.

AI in healthcare has come a long way, and quickly - where's it going next?
Badrul Husain, CEO of Infolytx, explains how his company's natural language processing technology is helping with clinical trial cohorts, and discusses how AI is gaining real traction elsewhere across healthcare.
4:07
7:26

AI: Reality vs. hype

(Sponsored) Kevin Shah, head of Enterprise New Business at Fujifilm Europe, says automating some processes can deliver diagnoses more quickly, increasing the chance of better outcomes for patients while reducing clinicians' workloads.

AI: Reality vs. hype
(Sponsored) Kevin Shah, head of Enterprise New Business at Fujifilm Europe, says automating some processes can deliver diagnoses more quickly, increasing the chance of better outcomes for patients while reducing clinicians' workloads.
7:26
4:51

Child welfare, behavioral health pose unique analytics challenges

KVC Health Systems CIO Lonnie Johnson describes the IT and data strategies of his multi-state provider of foster care and adoption services, including its predictive modeling goals and first steps toward AI and machine learning.

Child welfare, behavioral health pose unique analytics challenges
KVC Health Systems CIO Lonnie Johnson describes the IT and data strategies of his multi-state provider of foster care and adoption services, including its predictive modeling goals and first steps toward AI and machine learning.
4:51
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Play video Forecasting trends for AI, IoT and other 'digital frontiers'
AI/ML
Forecasting trends for AI, IoT and other 'digital frontiers'
Play video How one CMIO uses machine learning to improve care
AI/ML
How one CMIO uses machine learning to improve care
Play video AI is having real-world impact at Cleveland Clinic, Duke and beyond
AI/ML
AI is having real-world impact at Cleveland Clinic, Duke and beyond
Play video How Phoenix Children's Hospital uses data to improve patient outcomes
AI/ML
How Phoenix Children's Hospital uses data to improve patient outcomes

View more in AI/ML (732 videos)

8:23

How Cleveland Clinic harnesses machine learning for its pop health goals

Joseph Dorocak, manager of population health analytics at Cleveland Clinic, describes some of the staffing and process strategies the health system uses as it puts AI to work for two intertwined aims: better patient outcomes and financial return.

How Cleveland Clinic harnesses machine learning for its pop health goals
Joseph Dorocak, manager of population health analytics at Cleveland Clinic, describes some of the staffing and process strategies the health system uses as it puts AI to work for two intertwined aims: better patient outcomes and financial return.
8:23
7:03

How to operationalize AI, putting it to work for better care at lower cost

Machine learning is only a means to an end, helping organizations learn from data more quickly and intuitively, says Leonard D'Avolio, founder and CEO of Cyft.

How to operationalize AI, putting it to work for better care at lower cost
Machine learning is only a means to an end, helping organizations learn from data more quickly and intuitively, says Leonard D'Avolio, founder and CEO of Cyft.
7:03
6:09

Bundling predictive and descriptive analytics to create patient risk scores

Westchester Medical Center integrated data from the EHR using a machine learning algorithm to connect patients to the right sources of care, according to Simer Sodhi, the organization's director of data management & analytics.

Bundling predictive and descriptive analytics to create patient risk scores
Westchester Medical Center integrated data from the EHR using a machine learning algorithm to connect patients to the right sources of care, according to Simer Sodhi, the organization's director of data management & analytics.
6:09
6:32

Digital health 'sherpas' helping guide the journey of bringing AI to healthcare

Dr. Sujay Kakarmath, digital health scientist at Partners HealthCare Pivot Labs, explains how the Boston organization is enabling collaboration between hospitals, health systems and other stakeholders such as big tech and pharma.

Digital health 'sherpas' helping guide the journey of bringing AI to healthcare
Dr. Sujay Kakarmath, digital health scientist at Partners HealthCare Pivot Labs, explains how the Boston organization is enabling collaboration between hospitals, health systems and other stakeholders such as big tech and pharma.
6:32
5:56

How blockchain and AI can work together for healthcare

Tej Anand, professor of practice at the University of Texas' McCombs School of Business, explains how the most promising use case for blockchain in healthcare is the elimination of "redundant work, rework and reconciliation."

How blockchain and AI can work together for healthcare
Tej Anand, professor of practice at the University of Texas' McCombs School of Business, explains how the most promising use case for blockchain in healthcare is the elimination of "redundant work, rework and reconciliation."
5:56
4:07

AI in healthcare has come a long way, and quickly - where's it going next?

Badrul Husain, CEO of Infolytx, explains how his company's natural language processing technology is helping with clinical trial cohorts, and discusses how AI is gaining real traction elsewhere across healthcare.

AI in healthcare has come a long way, and quickly - where's it going next?
Badrul Husain, CEO of Infolytx, explains how his company's natural language processing technology is helping with clinical trial cohorts, and discusses how AI is gaining real traction elsewhere across healthcare.
4:07
7:26

AI: Reality vs. hype

(Sponsored) Kevin Shah, head of Enterprise New Business at Fujifilm Europe, says automating some processes can deliver diagnoses more quickly, increasing the chance of better outcomes for patients while reducing clinicians' workloads.

AI: Reality vs. hype
(Sponsored) Kevin Shah, head of Enterprise New Business at Fujifilm Europe, says automating some processes can deliver diagnoses more quickly, increasing the chance of better outcomes for patients while reducing clinicians' workloads.
7:26
4:51

Child welfare, behavioral health pose unique analytics challenges

KVC Health Systems CIO Lonnie Johnson describes the IT and data strategies of his multi-state provider of foster care and adoption services, including its predictive modeling goals and first steps toward AI and machine learning.

Child welfare, behavioral health pose unique analytics challenges
KVC Health Systems CIO Lonnie Johnson describes the IT and data strategies of his multi-state provider of foster care and adoption services, including its predictive modeling goals and first steps toward AI and machine learning.
4:51