Big Data is watching a million fireflies

I watched Mercy Health’s John Conroy talk today about how they manage one of the most deadly issues facing hospitals right now: Sepsis. It is a systemic infection that isn’t the reason the patient entered the hospital.

He described what they do as standing in a field in the summertime at dusk and seeing flashes of light from thousands of fireflies all around. The flashes are random but consistent, spread across all of the open space.

Sepsis can happen anywhere and takes combinations of real-time data to spot…like watching every one of those fireflies and every flash and being able to understand, anticipate and act on critical information from it.

Sepsis is every healthcare network’s nightmare. It can happen to anyone at any time, and as I said, anywhere in the hospital. Sadly, many doctors in practice today learned to watch for sepsis after their first septic patient dies. The industry-wide mortality rate is 65%. Mercy has significantly lowered their mortality rate from Sepsis and that’s a wonderful thing.

Mercy has a system that monitors every patient for sepsis by seeing every piece of information immediately, no matter where it happens across all of their facilities. They watch heart rate, blood pressure, temperature, demographic background, treatment condition, and progress. It is around 3,000 pieces of information per second that has to be pushed, pulled, digested, pattern matched and watched for temporal (time sensitive) trends. When the system spots a negative trend, they dispatch doctors and nurses immediately as Sepsis can only be treated and the patient saved by immediate action (also in combination).

Even after the alarms are shut off, they look at what happened and constantly update the rules that drive the system. They keep getting better results.

They’ve become so good at what they do that they sell their services (at cost, they’re not-for-profit) to other facilities through Mercy SafeWatch. Big Data saving lives.

Advertisements

Tags: , , , ,

Categories: Data Analytics / Big Data, Healthcare, Patterns / Rules / Events

Author:Chris Taylor

Reimagining the way work is done through big data, analytics, and event processing. There's no end to what we can change and improve. I wear myself out...

Subscribe to the blog

Subscribe and receive an email when new articles are published

Trackbacks/Pingbacks

  1. Big Data must not be an elephant riding a bicycle | Successful Workplace - October 28, 2012

    […] written three recent success stories that stand out from the noisy crowd talking Big Data. Mercy Healthcare, The Nielsen Company and FedEx Services all reap powerful benefits from Big Data solutions. But […]

  2. The nexus of healthcare forces | Successful Workplace - December 16, 2012

    […] an example: We wrote about Mercy Health’s SafeWatch system that provides constant vigilance in Mercy’s cutting-edge sepsis prevention program. […]

  3. Does work sometimes feel like a Seinfeld episode? | Successful Workplace - March 17, 2013

    […] temperature and blood pressure to react to life-threatening situations that don’t fit typical patient risk patterns. There are endless examples of how integrated data improves service, captures opportunity, and […]

  4. Integration: I’m sexy and I know it | Successful Workplace - June 10, 2013

    […] fingers at evil SaaS usage, others are taking steps to solve the bigger problem. One of my favorite examples is Mercy Health in St. Louis, Missouri. In a healthcare network operating at a 1 to 2% margin, they […]

  5. Reading tomorrow’s newspaper today | Successful Workplace - October 4, 2013

    […] A great example: Mercy Healthcare’s SafeWatch program […]

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: