Use of AI and Machine Learning in Healthcare – #HITsm Chat Topic

Posted on March 28, 2017 I Written By

John Lynn is the Founder of the HealthcareScene.com 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 InfluentialNetworks.com and Physia.com. 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, 3/31 at Noon ET (9 AM PT). This week’s chat will be hosted by Amy Landry (@amyinmaine) from HBI Solutions (@HBI_Solutions) on the topic of “Artificial Intelligence and Machine Learning in Healthcare”.

Will doctors and nurses be replaced by robots? While this is unlikely, the use of artificial intelligence is increasingly changing the way in which they deliver care.

Up until just a few years ago the use of artificial intelligence (AI) in healthcare was rare, confined mostly to research and exploratory pilot programs. But today, AI is in commercial use by an increasing number of organization, and expected to grow exponentially in the years to come.

Anyone who visited the tradeshow floor at the HIMSS annual conference this past month probably walked by hundreds of vendors offering some kind of AI related product. Many were described as predictive analytics, cognitive computing, and/or machine learning based.

Why so many? Foremost, it’s become easier and cheaper for healthcare organizations to collect and store vast amounts of health information. And this has led to the need to use machines to help query and make sense of what we now call ‘Big Data’, and put it to good use for patient care.

Join us for a discussion about AI in healthcare and one of its major subsets, machine learning.  We’ll discuss some of its most common uses in healthcare today, impact on care delivery, patient experience and health outcomes, as well what drives or hinders adoption.

The Questions
T1: What are the most promising applications of #machinelearning based #AI in healthcare today? #HITsm

T2: What challenges do healthcare organizations face in implementing #machinelearning technologies? #HITsm

T3: What political, cultural, or other factors drive adoption of #machinelearning or other #AI technologies in healthcare? #HITsm

T4: For orgs that have implemented, what’s the impact been (pos or neg) on care delivery & patient experience?  #HITsm

T5: With so many options, what are some do’s & don’ts for healthcare orgs looking for a #machinelearning #AI partner? #HITsm

Bonus: Some say #CognitiveComputing is a buzz phrase & synonymous with #machinelearning or #MachineIntelligence Thoughts? #HITsm

Upcoming #HITsm Chat Schedule
4/7 – How to Enhance the Patient Journey and Patient Experience Using Digital Health Solutions
Hosted by Michael Joseph (@HealthData4All)

4/14 – Healthcare Content Creation for the Audience Economy
Hosted by Jess Clifton (@jslentzclifton), Sarah Bennight (@sarahbennight), and Steve Sisko (@shimcode)

4/21 – Innovation vs Incremental
Hosted by @Colin_Hung

We look forward to learning from the #HITsm community! As always let us know if you have ideas for how to make #HITsm better.

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