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Case Studies

  • Using Simulation to Build a Team

    With the patient hemorrhaging blood, machines beeping loudly and adrenaline running high, simulation trainings can bring out the best and worst in people. ...

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  • The Burn Center: Modeling team based clinical care

    "Simulation team training is essential, but it only goes so far. The more important step is getting students to work together on a real person."...

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  • Genome Rounds: Working together to discover the unknown

    Nicola Camp, Ph.D., recounted the genetic rabbit hole she and her team of researchers had been down for the past six months....

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Algorithm 1: Flow of Money

Right Mission. Right Margin.

It may be as true today as it always has been: No margin. No mission. But has our focus on the former confused our understanding of the latter? That's what we've been working on clearing up this year. Figuring out who we are and who we want to be so that the right alignment, incentives and money will follow.

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Algorithm 2: Flow of Patients

Streamlining Care

A hassle. That's how many patients, and providers, describe the U.S. health care delivery system. From the time patients enter, we're asking them to wait longer, return more often, and navigate their way through a Byzantine maze of fragmented services to receive the care they deserve. Streamlining the flow of patients isn't about hiring more people or adding more beds. It's about listening to patients and then working together to create a seamless continuum of care.

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Algorithm 3: Flow of Data

Liquid Knowledge

Every day, our scientific and medical communities generate torrents of data. Most of it, however, is trapped behind floodgates. From valuable clinical trial research to lifesaving genetic information to the wellness data patients generate with their Fitbits, much of the knowledge we need to transform health care is out there. The challenge is getting it to flow.

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Algorithm 4: Flow of DNA

Outlive your family history

That was the promise when the first human genome was sequenced 11 years ago. That we would be able to change, perhaps even direct, exactly where the proverbial apple fell. Today, sequencing our genome is the easy part. The hitch is how to draw meaning from the flood of genetic information.

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Algorithm 5: The Flow State

Happiness 2.0

The 20th century and its Golden Age of Medicine are over. And while some - excited about the opportunity to create something new in the 21st century - might respond, "good riddance," many more health care providers and biomedical scientists feel stressed and discouraged. Their collective malaise isn't just affecting individual careers, it's impacting the quality of our health system - jeopardizing everything from scientific discovery to patient safety. If we ever hope to fix health care, creating a new version of happiness should be on top of the to-do list.

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