Inpatient hospital mortality rates fell by eight percent between 2000 and 2010, the last decade recorded by the Centers for Disease Control and Prevention’s National Hospital Discharge Survey. This is promising progress. But there’s still more that can be done to reduce mortality rates at American hospitals.
A recent Healthcare Finance article discusses 304 individual hospitals that, as a group, lowered their “risk adjusted in-hospital mortality rates across 19 procedures and conditions” by 26.2 percent. If all other hospitals performed at this level, approximately 160,322 lives could have been saved during 2013 and 2015.
While there’s no one-size-fits-all solution to improving inpatient health outcomes, the common thread among these hospitals: The forward-looking use of data analytics. In fact, 47 percent of the award winners are Midas Health Analytics Solutions customers, including Skagit Valley Hospital (Mount Vernon, Wash.), Henry Ford Allegiance Health (Jackson, Mich.), Lancaster General (Lancaster, Pa.), and Memorial Hermann (Southeast Texas), all of which earned high rankings for providing comprehensive and consistent quality across a range of conditions and procedures.
Improving outcomes with data analytics
Health data isn’t much of anything if it can’t help derive insights that lead to solutions to overarching problems, such as inpatient mortality rates. This is where Midas Health Analytics Solutions comes in as it helps advance everyday healthcare performance by seamlessly integrating data with hospital workflows. This helps providers streamline clinical processes, track the quality of care delivered, and track quality measures that are reported to CMS, The Joint Commission, and other regulatory agencies.
“Automation and data analytics can help providers track and improve the quality of care they provide to lower risk and save more lives.” – Clayton Nicholas, senior vice president, healthcare provider industry leader, Conduent
Another key driver behind improving health outcomes is placing clinician focus back on the patient. By automating data capture, creating a smart workflow design, and auto-generating regulatory reporting based on national standards, clinicians can spend less time tangled in red tape and more time caring for their patients. Machine learning-based analytics and real-time clinical alerts can also be tailored to an individual patient, helping caregivers prioritize and proactively care for patients most in need.
When hospitals improve the systems of clinical care, those efforts trickle down to improved financial and clinical outcomes, and patient satisfaction. In today’s world of increasing consumerism in healthcare, that can mean the difference in success and failure.
This is why Midas Health Analytics Solutions helps more than 2,200 hospitals across the country translate data into meaningful information that can be used to improve performance every day. Learn more on our website or visit us at HIMSS in booth #951. The show runs Feb. 20-23.
About the AuthorMore Content by Clayton Nicholas