Applying AI, Machine Learning and Automation to Reduce Redundancies in Healthcare – #HITsm Chat Topic

We’re excited to share the topic and questions for this week’s #HITsm chat happening Friday, 8/23 at Noon ET (9 AM PT). This week’s chat will be hosted by Linda Stotsky (@EMRAnswers) from @Bossoft on the topic “Applying AI, Machine Learning and Automation to Reduce Redundancies in Healthcare”.

Healthcare has historically been behind the eight ball when it comes to most other technologies. Other industries, like banking, aerospace, and manufacturing have led the way, much to the peril of a CIO, Revenue Cycle Director, MD, and Patient. Here’s the thing. Opportunities don’t always have to be huge to make a positive impact. Through “smarter” design, we can improve organizational efficiency, reduce burnout among role based users, and reduce variation in our patient communities. These are the basic building blocks of any successful digital healthcare transformation. They aren’t specific steps, vendors or organizational designs. They are flexible and adaptive components of technology that will vary from one user to the next. They are pivotal in shifting perspective from individual behavior (we’ve always done it this way), to a more inclusive, productive, and engaging direction.

Access to the right information delivered to the right person at the right time, can bridge data silos, eliminate redundancies, reduce physician burden and improve patient outcomes.

Healthcare needs to invest in the right combination of technology processes to enable maximum efficiency and usability. Why not invest in automation to leverage the largest financial investments of your organization, your people and systems.

Changes to access, quality and payment structures will alter the fundamental building blocks of healthcare delivery. As we enter 2020, our focus should be more on simplifying and reducing healthcare complexities.

How can AI, Machine Learning and Automation help us achieve these goals?

Join us at this week’s #HITsm chat where we’ll discuss how we can reduce redundancies in healthcare.

Topics for this week’s #HITsm Chat:

T1: Who would you say has led the pack in terms of AI, ML and automation in Healthcare? Why do you think so? #HITsm

T2: Why do vendors remain cloaked in complexity when asked about data migration? #HITsm

T3: What is slowing healthcare organizations down from finally sun-setting legacy applications? #HITsm

T4: How can we effectively gauge the productivity of role based users in EHRs? #HITsm

T5: What parts of healthcare would you like to see automated and why? #HITsm

Bonus: If there was one thing in life you could automate. What would it be? #HITsm

Upcoming #HITsm Chat Schedule
8/30 – Ongoing Training and Physician Burnout
Hosted by Larry Kaiser (@LarryKaiser) and Danielle Preizler (@ddowns916) from @OptimumHIT

9/6 – TBD
Hosted by Doug Zurawski from @kitcheck

9/13 – TBD
Hosted by Kate Huvane Gamble (@khgamble)

9/20 – TBD
Hosted by Ashley Dauwer (@amariedauwer)

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.

About the author

John Lynn

John Lynn

John Lynn is the Founder of, a network of leading Healthcare IT resources. The flagship blog, Healthcare IT Today, contains over 13,000 articles with over half of the articles written by John. These EMR and Healthcare IT related articles have been viewed over 20 million times.

John manages Healthcare IT Central, the leading career Health IT job board. He also organizes the first of its kind conference and community focused on healthcare marketing, Healthcare and IT Marketing Conference, and a healthcare IT conference,, focused on practical healthcare IT innovation. John is an advisor to multiple healthcare IT companies. John is highly involved in social media, and in addition to his blogs can be found on Twitter: @techguy.