Session ID: 
125

How Data Analytics Reduces Nurse Leakage, Improves Care

12:00pm - 1:00pm Wednesday, March 7
Las Vegas - Venetian Convention Center
Palazzo D

Description

As hospitals continue to face shrinking margins, they must find ways to either increase revenue or decrease losses. Since labor is the largest single cost in almost any hospital’s budget, reducing needless expenses in this area can help shore up the bottom line without affecting the quality of care – or hurting staff morale. This session will describe how Mercy Hospital used advanced analytics to save $4.3 million in one year by reducing nursing full time equivalent leakage. It will show how Mercy was able to use the analytics to gain visibility into departmental gaps prior to schedules being posted, and then reassign internal staff (where available) rather than automatically bringing in outside resources from a nursing agency. It will also detail the technical challenges involved in bringing data from a SaaS application into Mercy’s data warehouse and the human challenges involved with change management.

Learning Objectives: 

  • Identify the impact a lack of visibility into nursing leakage has on departmental ROI
  • Calculate the savings that can be achieved by filling scheduling gaps with internal personnel rather than agency nurses
  • Justify the request for additional FTEs based on consistent, costly gaps that cannot be filled internally

Speaker(s): 

Vice President, Operations,
Mercy Hospital
Chief Nursing Officer ,
Mercy Hospital Jefferson
Continuing Education Credits: 
AAHAM
1.00
ABPM
1.00
CAHIMS
1.00
CME
1.00
CNE
1.00
CPHIMS
1.00

Audience: 

Healthcare Financial Professionals
Nurse, CNO, CNIO
Senior IT Executive

Level: 

Intermediate

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