Machine Learning and AI in Healthcare – #HITsm Chat Topic

Posted on February 28, 2018 I Written By

John Lynn is the Founder of the blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of and John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

We’re excited to share the topic and questions for this week’s #HITsm chat happening Friday, 3/2 at Noon ET (9 AM PT). This week’s chat will be hosted by Corinne Stroum (@healthcora) on the topic “Machine Learning and AI in Healthcare.”

Machine learning is hitting a furious pace in the consumer world, where AI estimates how long your food will take to arrive and targets you with the purchases you can’t resist. This week, we’ll discuss the implications of this technology as we translate it to the healthcare ecosystem.

Current machine learning topics of interest to healthcare range from adaptive and behavior-based care delivery pathways to the regulation of so-called “black box” systems those that cannot easily explain the reasons with which they made a prediction.

Please join us for this week’s #HITsm chat as we discuss the following questions:

T1: The Machine Learning community is currently discussing FAT: Fairness, Accountability, & Transparency. What does this mean in healthIT? #HITsm

T2: How can machine learning integrate naturally in clinical and patient facing workflows? #HITsm

T3: What consumer applications of machine learning are best suited for transition to the healthcare setting? #HITsm

T4: The FDA regulates software AS a medical device and IN a medical device. How do you envision this distinction today, and do you foresee it changing? #HITsm

T5: What successes have you seen in healthcare machine learning? Are particular care settings better suited for ML? Where do you see that alignment? #HITsm

Bonus: Is there a place for machine learning black box predictions? #HITsm

Upcoming #HITsm Chat Schedule
3/9 – HIMSS Break – No #HITsm Chat

3/16 – TBD

3/23 – TBD

We look forward to learning from the #HITsm community! As always, let us know if you’d like to host a future #HITsm chat or if you know someone you think we should invite to host.

If you’re searching for the latest #HITsm chat, you can always find the latest #HITsm chat and schedule of chats here.