Inside Angle

From 3M Health Information Systems

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Podcast

Conversations at the heart of moving health care forward.

Analyzing human language for social good

Can the use of language on social media reveal information about a patient’s mental health? Can human language, with all its ambiguities and complexities, be analyzed to identify behavioral issues? And what’s the boundary, ethically, of tapping into language sources? In this episode, Dr. Gordon Moore speaks with Philip Resnik, PhD, Professor of Linguistics at the University of Maryland, about the intersection of machine learning, natural language processing and mental health. Dr. Resnik details the work he and other researchers are doing to research human language connections by building a secure cloud enclave of language data where scientists are granted access, allowing them to collaborate and work at a scale that, until now, has been unimaginable.  
 

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Podcast Host

L. Gordon Moore, MD Senior Medical Director, Clinical Strategy and Value-based Care

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Analyzing human language for social good

Can the use of language on social media reveal information about a patient’s mental health? Can human language, with all its ambiguities and complexities, be analyzed to identify behavioral issues? […]

Physician payment and performance measurement: Is it fair?

How much time does it actually take for primary care physicians and specialists to deliver care, and should time be considered when determining payment? When it comes to physician performance, […]

Finding a common language: Documentation and quality improvement

Health care is rich with specific language that clinicians use to avoid ambiguity. Inconsistent or confusing communication increases the possibility of poor patient care. In this episode, Dr. Geoffrey Rose […]

Payer-provider collaboration: What’s in it for consumers?

Imagine having to pay for a car piece by piece, shopping for a steering wheel, brake system and transmission all as separate purchases. Not a great idea, right? Now imagine […]

Analyzing unstructured data to unmask cognitive impairment

What if clinicians could use technology to find early indicators of cognitive impairment hidden in the medical record? In this episode, Dr. Gordon Moore speaks with Andrea Gilmore-Bykovskyi, PhD, RN, […]

Social determinants: Changing our view of the patient

When Dr. David Buck developed clinics for Houston’s indigent population in the mid-1980s, he learned first hand that his patients needed social and behavioral supports outside of traditional medicine. Three […]

Getting credit for great work: Helping physicians improve documentation

For chief medical officers, a top focus is improving the quality and safety of patient care. When Dr. Gene Christian left his orthopedic practice for hospital administration, he expected to […]

Why patient engagement matters

At age 31, after completing his medical training as a family physician, Dr. Alan Glaseroff learned he had Type 1 diabetes. Determined to defy predictions of a shortened life, Dr. […]

Making the move from volume to value

In this episode, Dr. Gordon Moore talks with Mark Sonneborn, vice president, health information and analytics with the Minnesota Hospital Association (MHA) about the shift from volume-based reimbursement to value-based […]

Machine learning and clinical care: Extracting the signal from the noise

By 2020, medical knowledge will double every 73 days. Can innovative technologies like machine learning and natural language processing (NLP) analyze and curate all that knowledge to help clinicians drowning […]

Physician burnout: How can we improve the work of care?

In this episode, Dr. Gordon Moore talks with Dr. Christine Sinsky, Vice President for Professional Satisfaction with the American Medical Association (AMA) and a national leader in studying the connection […]

Caring for the caregivers

What gets between people and better health outcomes? Many initiatives have been launched to improve the health of patient populations, but when it comes to the health of the healthcare […]