Testing design assumptions with users is a critical ingredient in user-centered design. In Symcat’s early stages (ca 2012), we thought, for better or worse, that we would identify some eligible test users through Craigslist NYC. We were surprised by just how many people were willing to participate and collected some pretty interesting data in the process. I just stumbled upon it and I suspect much of it is still relevant, so I thought I would share. Get ready for some graphs.
I should begin by acknowledging the authors’ important contribution to elucidating the gap between what symptom checkers may hope to provide and the existing state of the art. Semigren et al adopt a pragmatic approach both by identifying which symptom checkers patients may reasonably find and assessing them in the most intuitive way imaginable: making them take the standardized patient tests we all take in medical school.
OK, so there are a lot of doctors: PhDs, JDs, DDS. For the sake of argument, I’m talking about MDs here. Let me start by explaining night float.
Night float is an interesting rotation during residency when most people who are working during the day leave their hospital and their patient’s care in your hands. It is alternately some of the quietest times during residency as patients drift off to sleep and some of the most hectic as in when a surge of patients finally arrive from their ambulance- or helicopter-assisted journey across the state. Night float, or “the night shift” arose out of a recognition that sleepy interns having worked 30-hours straight sometimes do not make the best decisions or confuse their lefts and their rights.
Some of the session details (slides below):
Summary: Atrius Health expects a large proportion of commercially insured patients to shift into accountable care arrangements in the near future. The presenters will describe their work to develop new risk models for commercial patients, using both financial claims and Epic data, and compare these against other risk models.
Effective hospital care requires coordination among multiple individuals including therapists, care coordinators, primary teams, consult teams, and nurses. Unfortunately, this coordination is costly to frontline staff often requiring much time and many steps even to identify the appropriate contact. Existing solutions have significant shortcomings without a highly-available best practice.
Written with my friend and co-founder of Symcat, David.
We are residents and a software developers. Before starting residency, we spent time as software developers in the startup community. We were witness to tremendous enthusiasm directed at solving problems and engaging people in their health. The number of startups trying to disrupt healthcare using data and technology has grown dramatically and every day established healthcare companies appear eager to feed this frenzy through App and Design Competitions.
Continue reading The Non-Physician’s Guide to Hacking the Health Care System on THCB.
I was absent-mindedly playing with my iPhone today and took special notice of a feature I have rarely used before. If you swipe all the way to the left on the home screen, you will get a search bar to search all of your iPhone. This includes contacts, iMessages, and apps. I’ve never needed to use this before–a testament to the iPhone’s ease of use. Just prior to this, I was working on some patient notes using my hospital’s electronic medical record (EMR). In contrast, each task I performed required a highly-regimented, multi-click process to accomplish.
Criticizing EMR interfaces is a well-loved pastime among clinicians. Here, however, I am going to take an oblique approach and reflect instead on what has made good interfaces (all outside of medicine, it turns out) recognized as such.
Continue reading Killer Features of the Next Generation EMR on the THCB.