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GETTING BEYOND THE
HYPE TO OUTCOMES
John W. Showalter, MD MSIS
University of Mississippi Medical Center
March 27, 2014
0 to 5 Years5 to 15 Years
0 to 5 Years5 to 15 Years
High
Expectation
s
Low
Expectation
s
Distractions
Opportunities
All accepted
technologies
Discharged Not Billed Due to Incomplete
Physician Documentation
• Problem
• Charts aren’t coded until all physician documentation has been
complete
• $14 - $15 million in charges not submitted to insurance companies
due to incomplete documentation
• No transparency into the problem
• Approach
• Descriptive Analytics
• Provide department chair with detailed and graphic reports
• Remote support
• Deployed a remote support application to HIM
• HIM became the primary support for the physicians
Discharged Not Billed Due to Incomplete
Physician Documentation
• Result
• Six months later
• $7-8 million
• One year Later
• Less than $5 million
• Revenue cycle has been shortened by more than a full day
Lab Draws
• Problem
• Excessive and duplicative lab draws
• CBC and BMP identified as target areas
• Approach
• Simple predictive analytics
• CBC and BMP more often than q4 in ICUs and q8 on the floors were
frequently unnecessary
• Rules-based decision support
• “Duplicate Lab” alerts if a new order was placed within 4 hours (ICU) or
8 hours (floor) of another lab
Lab Draws
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
40.0%
45.0%
50.0%
BASIC METABOLIC PANEL CBC CBC WITH AUTO DIFF
Precent of Time Each Order was Cancelled in Duplicate Alerts
Lab Draws
• Result
• CBC
• 2,650 CBCs cancelled
• BMP
• 3,021 BMPs cancelled
• $41,300 savings per year
• 28.4 liters of blood not drawn
Data Visualization
and Real-Time Alerts
• Problem
• No nursing unit based monitoring system for pediatrics
• Approach
• Implement Epic remote ICU application “Epic Monitor” on both the
nursing units and our telehealth center
• Combine real-time predictive alerts with data visualization and
nursing protocols
• Develop guidelines and protocols for nurse response
Data Visualization
and Real-Time Alerts
• Results
• Created patient specific vital signs alerts
• Increased physician and nurse engagement
• Expected improvements
• Earlier interventions
• Fewer transfers to the PICU
• Decreased LOS
Biometric Registration
• Problem
• 6 employees doing chart corrections for MPI
• 30%+ of errors from the ED
• Approach
• Palm scanning a ED registration
Biometric Registration
• Predicted Result
• Cost
• 3 biometric devices (palm scanners) for ED patient registration - $1,500
• 2 months of analyst time to set up - $14,000
• Return
• 50% reduction of ED errors means 15% total error reduction
• Eliminate 1 FTE at $50,000/year
• 2 year ROI
• $100,000 - $15,500 = $84,500
Questions/Contact
• Email
• jshowalter@umc.edu
• Twitter
• @johnshowaltermd

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iHT² CMIO & Physician Executive Symposium, “Moving Past Hype to Outcomes” with John Showalter, M.D., MSIS, Chief Health Information Officer, University of Mississippi Medical Center

  • 1. GETTING BEYOND THE HYPE TO OUTCOMES John W. Showalter, MD MSIS University of Mississippi Medical Center March 27, 2014
  • 2.
  • 3. 0 to 5 Years5 to 15 Years
  • 4. 0 to 5 Years5 to 15 Years High Expectation s Low Expectation s
  • 5.
  • 6.
  • 9. Discharged Not Billed Due to Incomplete Physician Documentation • Problem • Charts aren’t coded until all physician documentation has been complete • $14 - $15 million in charges not submitted to insurance companies due to incomplete documentation • No transparency into the problem • Approach • Descriptive Analytics • Provide department chair with detailed and graphic reports • Remote support • Deployed a remote support application to HIM • HIM became the primary support for the physicians
  • 10. Discharged Not Billed Due to Incomplete Physician Documentation • Result • Six months later • $7-8 million • One year Later • Less than $5 million • Revenue cycle has been shortened by more than a full day
  • 11. Lab Draws • Problem • Excessive and duplicative lab draws • CBC and BMP identified as target areas • Approach • Simple predictive analytics • CBC and BMP more often than q4 in ICUs and q8 on the floors were frequently unnecessary • Rules-based decision support • “Duplicate Lab” alerts if a new order was placed within 4 hours (ICU) or 8 hours (floor) of another lab
  • 13. 0.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 45.0% 50.0% BASIC METABOLIC PANEL CBC CBC WITH AUTO DIFF Precent of Time Each Order was Cancelled in Duplicate Alerts
  • 14. Lab Draws • Result • CBC • 2,650 CBCs cancelled • BMP • 3,021 BMPs cancelled • $41,300 savings per year • 28.4 liters of blood not drawn
  • 15. Data Visualization and Real-Time Alerts • Problem • No nursing unit based monitoring system for pediatrics • Approach • Implement Epic remote ICU application “Epic Monitor” on both the nursing units and our telehealth center • Combine real-time predictive alerts with data visualization and nursing protocols • Develop guidelines and protocols for nurse response
  • 16. Data Visualization and Real-Time Alerts • Results • Created patient specific vital signs alerts • Increased physician and nurse engagement • Expected improvements • Earlier interventions • Fewer transfers to the PICU • Decreased LOS
  • 17. Biometric Registration • Problem • 6 employees doing chart corrections for MPI • 30%+ of errors from the ED • Approach • Palm scanning a ED registration
  • 18. Biometric Registration • Predicted Result • Cost • 3 biometric devices (palm scanners) for ED patient registration - $1,500 • 2 months of analyst time to set up - $14,000 • Return • 50% reduction of ED errors means 15% total error reduction • Eliminate 1 FTE at $50,000/year • 2 year ROI • $100,000 - $15,500 = $84,500