Exact Instructions on making a PBJ sandwich. OMG

http://laughingsquid.com/father-follows-childrens-exact-instructions-for-making-peanut-butter-jelly-sandwich/

Oh, this is precious. This reminds me of my intern days at University of California Davis Medical Center, when I was learning to write orders in paper charts for nurses and others to carry out on my patients. I very quickly learned:

  1. Even if you have bad handwriting, strive to write legibly. What, don’t like getting paged at midnight for an illegible order? Oh.
  2. Think through what you’re going to write so that your order doesn’t read like a Jane Austen novel. RN’s have to manually transcribe your order verbatim into their records. Be nice.
  3. Pretend that nurses and other staff are MALICIOUS ROBOTS THAT ARE TRYING TO MISINTERPRET YOUR ORDERS IN ANY WAY POSSIBLE. Making that assumption forces you to write as clearly as possible. Nobody can see inside your head. This perhaps has been the best life lesson, not only for writing orders in patient charts, but for life in general. We won’t go into details.

CMIO’s take? Lesson 3 for me was brought back in full force by the above video. Thank you, Internet.

AMA Joy in Medicine recognizes – University of Colorado School of Medicine

https://www.ama-assn.org/practice-management/sustainability/ama-honors-22-organizations-commitment-cutting-doctor-burnout

We are honored to be among the organizations awarded the inaugural Joy in Medicine honor. We applaud the AMA for standing up a framework that all healthcare organizations can pursue, to ensure that the work-life balance of physicians is considering in the coming topsy-turvy days of healthcare.

Physician burnout is a national epidemic, with suicide rates among doctors 2-3 times the average for US adults.

CMIO’s take? Come join us on this stage! We should not rest until ALL healthcare organizations win the Joy in Medicine award. ALL our healthcare colleagues deserve this.

The infinite game

https://www.alamut.com/subj/artiface/games/infiniteGames.html

This is a cool discussion and summary of a book about finite and infinite games. In brief, finite games are played with definite rules. Players are serious and you are either “playing” or “not playing.” Infinite games are much larger, and players can fiddle with the boundaries and the rules, players are much more playful, in a discovering mode. There can be finite games inside infinite games, but not infinite games inside finite games.

What a cool way to think about what we are doing here.

CMIO’s take: Which game are YOU playing?

SOMAlogic proteomics and the future of personalized medicine BEYOND genes

Larry Gold and the team at SOMAlogic is doing some incredible work, using the key innovation of aptamers (RNA molecules that naturally attach to proteins, and using them as nanodetectors to pick up thousands of proteins on a chip, based on urine or blood samples.

This goes beyond genomics (studying individual patients based on the genes in their DNA) to proteomics (studying individual samples from patients for the proteins being produced AT THAT MOMENT). The key insight here is that genes are inherited, a one time snapshot of your makeup. Proteins are being made every instant, and we now know that these proteins can be shut down or overproduced, in response to environment, age, stress, diet, many different factors.

Suddenly there is opportunity to study what might PREDICT a heart attack, or onset of a new disease (diabetes, etc) based on the proteins detectable in your blood sample TODAY.

CMIO’s take? Information systems do better when there’s more data. Incorporating genomic data into clinical decisions is cutting edge. Incorporating PROTEIN expression of the moment into clinical decisions is a near-future dream, that some would call bleeding edge, or perhaps clotting edge…

Generative Adversarial Networks and ‘deepfakes’

I find it fascinating that current topics in Artificial Intelligence both scares and encourages me. In this case “Generative Adversarial Networks” is a way to pit two AI’s against each other, one trying to fool the other one about an image, gradually tweaking and adding snow to a summer scene, and then the other AI detecting falsehoods versus genuine photographs. With “deepfakes” gaining traction, the ability to make celebrities (or anyone) look like they’re doing or saying something that video never captured, how will WE or our tools be able to spot these fakes?

We’re living in an age when connectivity is both a wonderful asset and increasingly suspect. What can we trust if we can’t trust a video or audio clip?

CMIO’s take? Technology acceleration, done with good intention can help us live better lives. Turns out, there are a growing number of downsides, that will require good people working hard, to turn the tide.