AI/ML - HIMSS TV Homepage

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.

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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.

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3:05

IT has role of supporting and empowering clinicians to provide better care

It starts with engaging the clinicians and having a team to standardize care to reduce variation for measurable changes, says Srinivasan Suresh, MD, VP at UPMC Children's Hospital of Pittsburgh.

IT has role of supporting and empowering clinicians to provide better care

It starts with engaging the clinicians and having a team to standardize care to reduce variation for measurable changes, says Srinivasan Suresh, MD, VP at UPMC Children's Hospital of Pittsburgh.

3:05

2:53

Be open: Analytics and machine learning is a journey

Michael Schwarz, executive director of IS at Indiana University Health System, says start with an understanding of what the data quality issues are and the differences in documentation and in workflow from different providers.

Be open: Analytics and machine learning is a journey

Michael Schwarz, executive director of IS at Indiana University Health System, says start with an understanding of what the data quality issues are and the differences in documentation and in workflow from different providers.

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4:52

Predictive analytics drives value-based care by identifying high-risk patients

Advocate Aurora Health’s data and analytics heart failure pilot realized a 23 percent reduction in utilization, says Tina Esposito, the company’s chief health information officer.

Predictive analytics drives value-based care by identifying high-risk patients

Advocate Aurora Health’s data and analytics heart failure pilot realized a 23 percent reduction in utilization, says Tina Esposito, the company’s chief health information officer.

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3:47

Talent is a critical element to get value from massive amounts of data

Amy Compton-Phillips, EVP and CCO at Providence St. Joseph Health, talks about her organization's chief medical analytics officer who is a physician and data scientist, so he is able to understand clinical context as well as data structure.

Talent is a critical element to get value from massive amounts of data

Amy Compton-Phillips, EVP and CCO at Providence St. Joseph Health, talks about her organization's chief medical analytics officer who is a physician and data scientist, so he is able to understand clinical context as well as data structure.

3:47

7:24

Dispelling misconceptions of AI and ML in healthcare

CHOC Children's CIO Anthony Chang, MD, explains why machine intelligence cannot replace human clinicians and that AI and ML will actually make physician and radiologist careers more attractive.

Dispelling misconceptions of AI and ML in healthcare

CHOC Children's CIO Anthony Chang, MD, explains why machine intelligence cannot replace human clinicians and that AI and ML will actually make physician and radiologist careers more attractive.

7:24

3:58

Automating ML and AI to improve speed, accuracy of predictive models

(Sponsored) DataRobot describes how advances in auto-machine learning and predictive analytics are enabling healthcare enterprises to be AI-driven.

Automating ML and AI to improve speed, accuracy of predictive models

(Sponsored) DataRobot describes how advances in auto-machine learning and predictive analytics are enabling healthcare enterprises to be AI-driven.

3:58

14:37

Building a collaborative approach to patient-centric artificial intelligence initiatives

(Sponsored) GE Healthcare offers a preview of how its new Edison platform will improve workflow, clinical insight and patient satisfaction.

Building a collaborative approach to patient-centric artificial intelligence initiatives

(Sponsored) GE Healthcare offers a preview of how its new Edison platform will improve workflow, clinical insight and patient satisfaction.

14:37

2:40

AI-powered smart stethoscope lets parents monitor kids’ health at home

StethoMe CEO and co-founder Wojciech Radomski discusses what made his startup stand out to win the EC2VC pitch competition and why AI is crucial in an era where more and more digital health devices are found in the home.

AI-powered smart stethoscope lets parents monitor kids’ health at home

StethoMe CEO and co-founder Wojciech Radomski discusses what made his startup stand out to win the EC2VC pitch competition and why AI is crucial in an era where more and more digital health devices are found in the home.

2:40

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