HIMSS TV is your Insider’s Guide to everything HIMSS. We are the world’s first online broadcasting network, focused on global innovation and how information and technology are driving change in healthcare.
  Home

AI/ML (693)

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
5:25

Next frontier of analytics: Applying ML and AI to clinical care guidance

Interventions are the hardest part as disparate data has to be interwoven for behavior change if risk is to be mitigated, says Duke University Health System Chief Analytics Officer Stephen Blackwelder.

Next frontier of analytics: Applying ML and AI to clinical care guidance
Interventions are the hardest part as disparate data has to be interwoven for behavior change if risk is to be mitigated, says Duke University Health System Chief Analytics Officer Stephen Blackwelder.
5:25
6:07

Why building an analytics team is like starting a garage band

The challenge is not so much in the technology development but in the cultural maturity for people to realize what the data can do for them, says Chad Konchak, assistant vice president of Clinical Analytics at NorthShore University HealthSystem.

Why building an analytics team is like starting a garage band
The challenge is not so much in the technology development but in the cultural maturity for people to realize what the data can do for them, says Chad Konchak, assistant vice president of Clinical Analytics at NorthShore University HealthSystem.
6:07
2:20

Health organizations focused on getting ML and AI into workflows

Rob Wellen, regional vice president at KenSci, talks about common data analytics questions from providers, including how to operationalize machine learning and AI.

Health organizations focused on getting ML and AI into workflows
Rob Wellen, regional vice president at KenSci, talks about common data analytics questions from providers, including how to operationalize machine learning and AI.
2:20
of 58
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
Play video How Cleveland Clinic harnesses machine learning for its pop health goals
AI/ML
How Cleveland Clinic harnesses machine learning for its pop health goals
Play video How to operationalize AI, putting it to work for better care at lower cost
AI/ML
How to operationalize AI, putting it to work for better care at lower cost
Play video Bundling predictive and descriptive analytics to create patient risk scores
AI/ML
Bundling predictive and descriptive analytics to create patient risk scores

View more in AI/ML (693 videos)

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
5:25

Next frontier of analytics: Applying ML and AI to clinical care guidance

Interventions are the hardest part as disparate data has to be interwoven for behavior change if risk is to be mitigated, says Duke University Health System Chief Analytics Officer Stephen Blackwelder.

Next frontier of analytics: Applying ML and AI to clinical care guidance
Interventions are the hardest part as disparate data has to be interwoven for behavior change if risk is to be mitigated, says Duke University Health System Chief Analytics Officer Stephen Blackwelder.
5:25
6:07

Why building an analytics team is like starting a garage band

The challenge is not so much in the technology development but in the cultural maturity for people to realize what the data can do for them, says Chad Konchak, assistant vice president of Clinical Analytics at NorthShore University HealthSystem.

Why building an analytics team is like starting a garage band
The challenge is not so much in the technology development but in the cultural maturity for people to realize what the data can do for them, says Chad Konchak, assistant vice president of Clinical Analytics at NorthShore University HealthSystem.
6:07
2:20

Health organizations focused on getting ML and AI into workflows

Rob Wellen, regional vice president at KenSci, talks about common data analytics questions from providers, including how to operationalize machine learning and AI.

Health organizations focused on getting ML and AI into workflows
Rob Wellen, regional vice president at KenSci, talks about common data analytics questions from providers, including how to operationalize machine learning and AI.
2:20