<img height="1" width="1" style="display:none" src="https://www.facebook.com/tr?id=176170952734135&amp;ev=PageView&amp;noscript=1">

Blog

Un-complicating Healthcare IT

Emerging Impacts Of Artificial Intelligence on Healthcare IT

Mar 3, 2017 7:28:00 AM Posted by Jim Tufts | Leadership Solutions Team Lead

Artificial-Intlligence.pngHere's another "Knowledge Sharing" snippit from the ICE Technologies team who attended HIMSS17 (along with over 40,000 HIT folks!) in Orlando a few weeks ago. We're covering topics including cloud computing, cybersecurity, interoperability, EHR utilization, and others. 

Staggering Amounts Of Data In Healthcare

According to the Harvard Business Review, 30% of all the world’s electronic data storage is occupied by the healthcare industry. This is remarkable, because healthcare information has been largely paper until this decade.

Between electronic medical records, digitized diagnostics, and wearable medical devices, the average person will leave a trail of over 1 million gigabytes of health-related data in their lifetime. Because of all this data, it will become necessary for some cognitive, artificial intelligence-based processing to rapidly digest this vast amount of data and present the provider with what is relevant to the episode of care they are delivering.

Examples of Artificial Intelligence (Most already happening today!)

  1. Data on a patient’s condition or symptoms can be uploaded in real time from a smart phone or sensors which an artificially intelligent system could then suggest next steps for the nurse on the phone or telehealth service.
  2. Patients with chronic conditions can be cared for at home by “Uber”-type technology matched by smart platforms to then be able to meet as frequently as needed in person or via telehealth means.

  3. Patients with allergies, cold and flu symptoms, sports injuries, UTI’s, depression, eye and skin symptoms, and more can receive treatment via “doctor-on-demand”.

  4. Orders and notes from doctors will be entered into the EHR with voice recognition software and even the opportunity for patients to be able to control his or her own information in the EHR.

  5. Comparing and contrasting patient characteristics via cloud-based “Big Data” to be able to find the best diagnosis and solutions based on other patients in the database. Somewhat of an example of this is this data that athenahealth shares on their “athenainsight” website.

If you feel at all overwhelmed or have questions on how to incorporate artificial intelligence into your IT strategy, give us a call. 

LET'S TALK

 

Jim Tufts | Leadership Solutions Team Lead

Jim, along with the Leadership Solutions team, leads, guides healthcare providers, in user education, consulting, process improvement, disaster recovery planning, strategic IT planning and more. Jim is the author of the whitepaper, “Guide to the HIPAA Security Rule,” and is often found in healthcare association meetings, national conferences, or in a healthcare board room educating on protecting electronic patient health information.