How big data analytics help hospitals stop a killer data. Predictive analytics. Real-time. Actionable insight. There’s a buzzword smorgasbord around the use of data to derive value. It doesn’t help that sometimes the benefits can be esoteric, or at least hard to visualize. But sometimes the benefits are crystal clear, as in the fight against sepsis, one of the leading killers in the U.S.

Sepsis is a serious medical condition that occurs when the body unleashes the full force of the immune system in response to an infection. The immune chemicals trigger widespread inflammation that can result in impaired blood flow and damage to (and failure) of the body’s organs.

According to the National Institute of General Medical Sciences, more than a million Americans get severe sepsis every year and between 28 percent and 50 percent of them die — more than the annual U.S. deaths from prostate cancer, breast cancer and AIDs combined. It is the leading cause of death in noncoronary intensive care units (ICUs) in U.S. hospitals and the 10th leading cause of death in the U.S. overall.

The signs that a patient has system inflammatory response syndrome (SIRS), a precursor to sepsis, can be difficult to diagnose, even in a hospital setting, because they mimic other conditions. Common symptoms include fever, chills, rapid breathing and heart rate, rash, confusion and disorientation. Diagnosing sepsis often requires a blood test to look for an abnormal number of white blood cells, or an elevated lactate level, which correlates with the severity of the condition. Chest x-rays or CT scans can also be used to identify infections.

Read Also:
5 Ways Startups Can Leverage Big Data for a Competitive Advantage

Unfortunately, these symptoms often occur after a patient has been discharged from the hospital. The condition arises unpredictably and can progress rapidly, which means a patient could have severe sepsis and be spiraling toward septic shock and multiple organ failure before seeking help.

Sepsis isn’t just a killer, it’s also a massive cost for the healthcare industry. The Agency for Healthcare Research and Quality found that sepsis was far and away the most expensive condition treated in U.S. hospitals in 2011 at more than $20 billion ($5 billion more than the next-leading expense, osteoarthritis), and the incidence of sepsis has increased since then.

Here’s where all those big data buzzwords come in. IT consulting and managed services provider Hitachi Consulting (a subsidiary of Hitachi) has joined forces with medical device maker Vital Connect and analytics specialist ClearStory Data to create a live clinical monitoring solution that can detect symptoms related to SIRS.

The prototype solution, showcased at the HIMSS15 Healthcare IT conference in April, consists of a disposable wireless Band-Aid-like biosensor (the FDA-certified HealthPatch), real-time processing of patient data using ClearStory Data’s solution, and consumable analysis that allows medical professionals to take immediate action.

Read Also:
Applying Big Data Analytics to Tackle 3 Financial Marketing Challenges

Vital Connect’s HealthPatch, which is worn on the chest directly over the heart, is designed to monitor a patient’s vital signs and track other information, including physical activity, posture, even falls. It connects wirelessly to a smartphone, when an app can show statistics such as steps taken, heart rate, breathing, skin temperature and more. It can be worn while a patient is awake, sleeping or even in the shower.

ClearStory Data provides near real-time measurements on the massive volumes of biosensor data analyzed by algorithms modeled after clinical practice standards. A patient storyboard (ablove) identifies and alerts clinicians to patients who might be at risk.

The smartphone app transmits the patient clinical data to a cloud-based repository, where it is mashed up with existing patient data from other data sources (NoSQL and SQL-based data sources, premium data sources, etc.). Caregivers can use ClearStory Data to analyze and correlate the data against systemic patterns to detect the potential of SIRS.

Read Also:
Study: Most organizations still struggle to mine Big Data

“These devices throw off data on heart rate, temperature, energy consumption, blood pressure, etc.,” says Sharmila Mulligan, CEO and founder of ClearStory Data. “Even body posture. Your posture changes when you have sepsis; you start slowing down in how you walk. If the patient is actually showing that a couple of these attributes are starting to hit certain numbers, they are on their way to having a high-risk situation. Caregivers need to see this data in real-time.”

ClearStory Data, powered by Apache Spark, provides fast-cycle, near real-time measurements on the massive volumes of biosensor data analyzed by algorithms modeled after clinical practice standards used in conventional human clinical monitoring disciplines. A patient “storyboard” identifies and alerts clinicians to patients who might be at risk based upon the biosensor measures. Serum level testing can then be used to confirm the presence of SIRS and/or sepsis.

U.S. states are beginning to take action in an effort to save lives and bring down the cost of healthcare. New York took the lead in 2013, when Gov. Andrew Cuomo introduced a sweeping set of regulations that required hospitals to adopt evidence-based practices to bring down sepsis mortality rates. Read more…

Leave a Reply

Your email address will not be published. Required fields are marked *