Premium Reports
Contact KLAS
 Download Report Brief  Download Full Report    Zoom in charts



Related Series

Nurse & Staff Scheduling 2021
Nurse & Staff Scheduling 2018
Scheduling 2016 - Staff, Nurse, and Physician
Staff Scheduling 2010
Staff and Nurse Scheduling, Market Review 2006

 End chart zoom
Staff Scheduling 2009 Staff Scheduling 2009
* A page refresh may be necessary to see the updated image

Staff Scheduling 2009
Nurses Rock the Boat

August 31, 2009

Nursing professionals express the most extreme, and impactful, opinions of all hospital departments involved in staff-scheduling systems. These opinions often conflict with those of other departments, making this choice far from simple: hospital CNOs call for usability and solid functionality, CIOs focus on integration and support, and CFOs look to improve the bottom line. However, satisfaction disparity makes vendor decisions difficult. McKesson is regarded favorably by nursing staffs, but more negatively by many in finance and HR. Conversely, Kronos receives positive reviews for their finance/HR functionality, but satisfaction for their nursing module is suffering. In the past three years, there has been a significant increase in the number of sites live with staff-scheduling, but staff-scheduling technology has still only penetrated 40 percent of the market; however, the pressure to adopt is mounting. The national economy, ever-slimming profit margins, and heavy labor costs are encouraging organizations to improve their use of resources through enhanced staff-scheduling automation.

author - Robert Ellis
Project Manager
Robert Ellis
 Download Report Brief  Download Full Report

This material is copyrighted. Any organization gaining unauthorized access to this report will be liable to compensate KLAS for the full retail price. Please see the KLAS DATA USE POLICY for information regarding use of this report. © 2024 KLAS Research, LLC. All Rights Reserved. NOTE: Performance scores may change significantly when including newly interviewed provider organizations, especially when added to a smaller sample size like in emerging markets with a small number of live clients. The findings presented are not meant to be conclusive data for an entire client base.