Projects, designs, and writings on health IT

2014-04-27

What an EMR Built on Twitter Would Look Like

5:54 PM Posted by David, MD , , 1 comment

This post originally appeared in The Health Care Blog 2014-04-27



What an EMR Built on Twitter Would Look Like


By DAVID DO, MD

WILD PREDICTION: It won’t be long before every patient has a Twitter feed, and doctors subscribe to them for real-time updates.

This is a time when the demands of being a physician are changing, and we need to leverage technology to maintain awareness of a huge number of patients. There is also increasing need for handoffs and communication between providers.

Here’s the bottom line: how can we improve technology when doctors seem so resistant? They are not happy with their EMRs, and rightly so, because they were built to do too much for too many.

Current system is inefficient

The EMR has become essential for documentation, billing, medical reasoning, and communication, among other things. Currently, documentation is built on a system of daily progress notes. If I consult a cardiologist about a case, he needs to go through each note, containing narratives, laboratory values, vital signs, and physical exams.

A patient with a seven-day hospital stay may have twenty notes that need synthesis to put together the story–this can take hours per patient!

In an age where more providers are involved in a patient’s care (whether due to duty hour restrictions, or the increasing presence of specialists for every problem), this inefficiency is not acceptable.

Providers hate redundant documentation

Not only is this system of documentation difficult for doctors to interpret, it is tedious to produce. Documentation has become a chore, and I’ll explain why. For patients in the hospital, documentation often exists in two separate streams, the daily progress notes (located in the official chart or the official EMR) and the summary/signout document (often located in a Word document on a hard drive in the hospital).

Billing and legal is based off the progress notes. The summary/signout document is often unofficial, developed from a need for a more up-to-date and comprehensive summary of what is happening with a patient. Think of it as a “final report”, synthesizing all the data, organizing ideas and describing the plan.



This also leads to poor communication

Because the workflow is built around the summary and signout document, daily progress notes have become ceremonial and rote. It therefore becomes unreliable—can I trust that the provider meant to check this box as normal?

Further, communication between providers suffers because the accessible document is often the progress note.

The solution comes from social media

That’s where the innovation of social media comes in. I see the major innovation of social media as of organizing the immense amounts of information. In the 90′s you could join chat rooms about a particular interest or hobby.

On Twitter, you are participating in an infinite number of chatrooms at once, and you can be part of a conversation on #SXSW14 or @THCBstaff just by searching.

Here’s how a Twitter-based EMR would work:

All clinical data, events, notes, and annotations are included in a single live feed. This stream will serve as the centerpiece of all functions, with a few carefully designed filters.



With this conceptual framework, there are several natural improvements on the existing EMR.

  • The Clinical Awareness view: By watching the raw live feed, you are immediately aware when your patient’s CT scan is complete or laboratory values are available.
  • The Patient Timeline view: By looking at a patient’s feed, you can learn about the entire course of illness. It’s much faster that flipping through pages of notes that may have been copied forward.
  • Progress Note Generation: Doctors and nurses need only focus on documenting in the Twitter feed. Progress notes are automatically produced from all the interval data.
  • Conversation view: different specialists can have a discourse about a difficult case, and it’s built into the EMR. This is the meaning of patient-centered care.
In medicine we spend a tremendous amount of time and money on antiquated software that acts like a digital version of a paper chart. We can learn a few lessons from the innovators in social media about how to manage large amounts of data.

David Do, MD is a resident physician at the Hospital of the University of Pennsylvania. He is an agile software developer and Chief Technology Officer at Symcat.com.

2014-04-22

How the practice of prepopulating progress notes died

2:51 AM Posted by David, MD , No comments

Nostalgia

I spoke to a senior resident who reminded me that overnight interns used to print and populate progress notes for the daytime team before their arrival. I got the sense he was implying "they don't make them [interns] like they used to". Curious about how this practice could have disappeared entirely, I did some investigation. As it turns out, interns used to handwrite vital signs (and their 24-hour ranges) on every single progress note.


Temp: (99.3 - 101.1) HR: 67-82O2: 91-92BP: 90-125/ 50-60RR: 16-20

Even with a computerized EMR, and digitized vital signs, it can be incredibly time consuming to look at graphs for 5 vital signs x 8 patients and translate it to the above format.

How this practice died

Once we pushed the IT department to automatically populate vital signs on the progress notes, we experienced tremendous time-savings. Printing your own progress notes in the morning became trivial, and the practice of pre-populating them became of marginal benefit.

Interns jobs are still very much automatable

Interns, come in earlier than the rest of the medical team to collect data. I estimate 75% of my time is dedicated towards data collection; that is, looking at paper and digital sources of data and scribbling it on the progress note. (When we shift two electronic provider documentation, I will spend my time flipping between screens and using copy-paste.)

Perhaps 10% of my time is dedicated to synthesizing data. What might be causing this sodium value to be so high? How might a high sodium value be causing this patient's confusion? How can I adjust the insulin regimen to keep my patient's glucose better controlled? What should I do with the results of this chest x-ray?

Finally, the last 15% percent of my time will be spent at the bedside, asking a few questions and updating patients about their results.

75% Data collection
10% Data synthesis
15% Patient interaction

Why this matters

Data collection still takes the majority of my time every morning, but luckily, it's the most automatable step. In fact, I think its entirely automatable. IT departments need to start prioritizing workflow and time-saved. It's my hope that through this design blog, we can shift some of that data collection time towards patient interaction.