Maturity Models
HIMSS Analytics recognizes Mercy Hospital St. Louis as a Stage 7 healthcare system, as tracked by the Electronic Medical Record Adoption Model (EMRAM) SM
When a 43-year-old patient with significant hip, back and knee pain was scheduled for total hip replacement at Mercy Hospital St. Louis in November 2017, he had no idea what was happening behind the scenes to make sure his surgery went smoothly.
Most patients don’t see or know about the behind-the-scenes processes – however, they’re just as concerned about positive outcomes. When the patient arrived for surgery, the implant was available and documented in the patient’s medical record. In the event the implant is expired, has a recall or any other issue going forward, the technology helps trace the product so the patient can be alerted. This patient experienced little discomfort, and returned to work four weeks after his procedure, following a speedy recovery. He was able to return to normal activities, such as climbing a ladder, mowing grass and even ice skating.
In addition to its electronic medical record, Mercy Hospital St. Louis uses a data analytics platform to provide timely data for decision making and an inventory management strategy that integrates with its electronic medical record to document implants for surgery at the time of scheduling. This process ensures the implant chosen by the surgeon is ordered, received and available for the specific patient at the time of the surgery – right patient, right case, at the right time.
HIMSS Analytics Stage 7 Validation
HIMSS Analytics is proud to recognize Mercy Hospital St. Louis for their recent validation as a Stage 7 hospital, based on the Electronic Medical Record Adoption Model (EMRAM)SM .
“Mercy introduced efforts to reduce c-difficile infection. By organizing what had been multiple efforts into one, Mercy created an alert based on the patient’s risk of acquiring c-diff,” said Philip Bradley, regional director of North America for HIMSS Analytics. “These efforts reduced c-diff by 40 percent avoiding in excess of $2 million in costs.”
“Mercy has tapped into the total power of technology and its associated data to make patients healthier while delivering a better experience, lowering cost and making physicians and nurses more productive,” said Gil Hoffman, Mercy’s chief information officer. “With intelligence in the hands of leaders and caregivers, Mercy is saving millions in some of our highest cost areas, and with a 50 percent reduction in heart failure mortality rates, we’re also saving more lives.”
HIMSS Analytics will recognize Mercy Hospital St. Louis at the HIMSS18 Global Conference, held from March 5-9, 2018, at the Venetian-Palazzo-Sands Expo Center in Las Vegas, Nev.
About Mercy St. Louis
Mercy, named one of the top five large U.S. health systems in 2017 and 2016 by Truven, an IBM Watson Health company, serves millions annually. Mercy includes more than 40 acute care and specialty (heart, children’s, orthopedic and rehab) hospitals, 800 physician practices and outpatient facilities, 44,000 co-workers and 2,100 Mercy Clinic physicians in Arkansas, Kansas, Missouri and Oklahoma. Mercy also has clinics, outpatient services and outreach ministries in Arkansas, Louisiana, Mississippi and Texas. In addition, Mercy's IT division, Mercy Technology Services, supply chain organization, ROi, and Mercy Virtual commercially serve providers and patients in more than 20 states coast to coast.
HIMSS Analytics is a global healthcare technology market intelligence, research and standards organization assisting clientele in both healthcare delivery and healthcare technology solutions business development to make lasting improvements in efficiency and performance. Visit the HIMSS Analytics website for more information on the healthcare provider maturity models and the Stage 7 validation/revalidation award.
Media contacts:
Maura Bilek | HIMSS North America
mbilek@himss.org | 1-312-915-9510
Kyle Munderville | HIMSS Analytics
Kyle.Munderville@himssanalytics.org | 1-802-657-6724 
Published on
February 19, 2018
Related
