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Health IT Gets Into the ALS Ice Bucket Challenge

Posted on August 22, 2014 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.

The ALS ice bucket challenge has finally made its way to heatlhcare IT companies. I’m sure at some point I’ll get tired of seeing these videos, but it hasn’t happened yet. There’s something really enjoyable about watching someone get a bucket of ice water dumped on them. Especially people you wouldn’t expect to do it.

Here are two of the latest Health IT people to take part in the challenge.

Neal Patterson, CEO of Cerner accepts the ALS Ice Bucket Challenge

Neal challenges John Glaser, CEO of Siemens Health Services, and he accepted

John Glaser has nominated the whole Simens Health Services employees to take the challenge. So, there are more videos to come. What could bring a company together more than all dumping a bucket of ice on each other?

What an amazing effort for ALS too. The ALS site just noted that donations have reached $53 million. I want to see Judy Faulkner take part.

Creating The Intelligence-Based EMR

Posted on August 21, 2012 I Written By

Anne Zieger is veteran healthcare consultant and analyst with 20 years of industry experience. Zieger formerly served as editor-in-chief of and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. Contact her at @ziegerhealth on Twitter or visit her site at Zieger Healthcare.

Given today’s trends, I’m betting most of us would agree that EMRs need to evolve from transaction-based to intelligence based systems. They need to do better leveraging “big data,” make context-based care recommendations and support smart processes.  John likes to call them “Smart EMR,” but what would such an EMR look like?

In a recent issue of Hospitals & Health Networks, Dr. John Glaser, Ph.D.,  lays out a long– but useful– explanation as to why EMRs are stiffly focused on transactions such as documenting a visit or writing a prescription. (Very short summary: That’s just where they are coming from historically.)  Then he offers a take on the “intelligence-based EMR” and what it will take to get there.

Glaser, CEO of the Health Services Business for Siemens Healthcare, was formerly VP and CIO for Partners HealthCare, so he’s got both the vendor and the care provider view, which I think proves very useful for this discussion.

In his article, he argues that the next-gen EMR needs to offer the following:

  • foundational sets of templates, guidelines and order sets that reflect the best evidence or established best practice;
  • a process-management infrastructure that supports basic transaction checking such as drug-drug interactions, as well as asynchronous alerting like panic lab reporting and process monitoring and guidance;
  • team-based care support such as shared work lists, as well as tools for patient engagement and health information exchange;
  • novel decision aids like predictive models that can tell us if a particular patient is likely to be readmitted because he or she is fragile or has a substandard social situation at home that may negatively impact healing;
  • context-aware order sets and documentation templates that guide the physician and help infer what types of orders should be placed and what types of documentation should be done
  • intelligent displays of data, intelligent correction and identification of data, and extraction of structure by going through free text and pulling out quality measures or problems that were not previously in a patient’s problem list, for example.

The question is, are these functions science fiction (i.e. many years away from being standard) or just an evolutionary leap from today’s systems?  What are you seeing out there?