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The Variables that Need Adjusting to Make Health Data Sharing a Reality

Posted on October 7, 2016 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.

During today’s #HITsm chat, John Trader offered this fascinating quote from SusannahFox, CTO at HHS:

I quickly replied with the following:

This concept is definitely worth exploring. There are a lot of things in life that we want. However, that doesn’t mean we want them enough to actually do them. I want to be skinny and muscular. I don’t want it enough to stop eating the way I do and start working out in a way that would help me lose weight and become a chiseled specimen of a man. The problem is that there are different levels of “want.”

This applies so aptly to data sharing in healthcare. Most of us want the data sharing to happen. I’ve gone so far as to say that I think most patients think that the data sharing is already happening. Most patients probably don’t realize that it’s not happening. Most caregivers want the data shared as well. What doctor wants to see a patient with limited information? The more high quality information a doctor has, the better they can do their job. So, yes, they want to share patients data so they can help others (ie. their patients).

The problem is that most patients and caregivers don’t want it enough. They’re ok with data sharing. They think that data sharing is beneficial. They might even think that data sharing is the right thing to do. However, they don’t want it enough to make it a reality.

It’s worth acknowledging that there’s a second part of this equation: Difficulty. If something is really difficult to do, then your level of “want” needs to be extremely high to overcome those difficulties. If something is really easy to do, then your level of want can be much lower.

For the programmer geeks out there:

If (Difficulty > Want) Then End

If (Difficulty < Want) Then ResultAchieved

When we talk about healthcare data sharing, it’s really difficult to do and people’s “want” is generally low. There are a few exceptions. Chronically ill patients have a much bigger “want” to solve the problem of health data sharing. So, some of them overcome the difficulty and are able to share the data. Relatively healthy patients don’t have a big desire to get and share their health data, so they don’t do anything to overcome the challenge of getting and sharing that data.

If we want health data sharing, we have to change the variables. We can either make health data sharing easier (something many are working to accomplish) or we can provide (or create the perception of) more value to patients and caregivers so that they “want” it more. Until that happens, we’re unlikely to see things change.

Retina Scanning vs. Iris Recognition in Healthcare – Best Technology Seen at AHIMA

Posted on November 1, 2012 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.

While at AHIMA, I was lucky enough to meet John Trader from RightPatient (A part of M2SYS Healthcare Solutions). During our meeting he showed me the coolest technology I’ve seen in quite a while. Ever since I first started this blog, I had a serious interest in seeing how biometric solutions could benefit an EHR implementation. I’ve tried fingerprint, facial (and this review), voice, typing, etc and been amazed by the technology. Facial recognition was probably my favorite despite its weaknesses.

The funny thing is that I always shot down anyone that suggested the use of some sort of eye related biometric identification. Thinking to my only reference for retina scanning biometrics (movies like Mission Impossible), I didn’t see how that was going to integrate well with healthcare.

Turns out that I was wrong, and my big mistake was that I was looking at the technology from a doctor, nurse, front desk staff identification perspective as opposed to a patient identification perspective. Plus, I didn’t get the difference between retina scanning and iris recognition.

With this background, you can imagine my surprise when I fell in love with the RightPatient iris recognition technology that John Trader demoed to me at AHIMA. I shot this short video embedded below where John discusses the differences between retina scanning (the laser scan you see in the movies) and iris recognition. Then, John demos their iris recognition technology.


Much more could be said about how the iris technology works, but I think it’s best deployed at a hospital front desk during registration. Imagine the number of duplicates that could be avoided with good biometric iris recognition. Imagine the insurance abuse that could be avoided with iris recognition.

In the video I only showed one of the model’s that RightPatient deploys. They have another model that automatically swivels until it locates your iris. It’s hard to explain on the blog, but when you try it first hand it’s like magic.