Literature DB >> 15855924

Introducing new technology into the operating room: measuring the impact on job performance and satisfaction.

James E Stahl1, Marie T Egan, Julian M Goldman, Dawn Tenney, Richard A Wiklund, Warren S Sandberg, Scott Gazelle, David W Rattner.   

Abstract

BACKGROUND: The Massachusetts General Hospital (MGH) Operating Room of the Future (ORF) project is a test site for evaluating new surgical technologies and processes. Here we evaluate the effect on staff satisfaction and burnout of introducing a set of new technologies.
METHODS: Staff satisfaction and burnout were measured via sequential surveys based on the Maslach Burnout Inventory during the introduction of a new technology system. Functional behavior of the OR was measured in terms of flow time (time to transit the OR) and wait time (time to access the OR). These data were gathered using time-motion analysis methods.
RESULTS: Significant functional improvements were found in the ORF (more than 35% reduction in flow time and wait time, P < .05). During the same period, more exposure to the ORF resulted in greater sense of personal accomplishment among surgeons, a worse sense of personal accomplishment among nurses, more emotional exhaustion among surgeons, and less emotional exhaustion among nurses. However, the responses for emotional exhaustion were reversed the greater the time from exposure to the ORF. Staff with 6 to 10 years' experience were at highest risk for burnout across all categories. General surgeons experienced more emotional exhaustion than other physicians.
CONCLUSIONS: Tracking the response of all users and identifying groups at high risk for burnout when exposed to new systems should be a central part of any new technology project.

Mesh:

Year:  2005        PMID: 15855924     DOI: 10.1016/j.surg.2004.12.015

Source DB:  PubMed          Journal:  Surgery        ISSN: 0039-6060            Impact factor:   3.982


  10 in total

1.  Assessing operating room efficiency and parallel processing.

Authors:  Mark A Malangoni
Journal:  Ann Surg       Date:  2006-01       Impact factor: 12.969

2.  The impact of the 80-hour resident workweek on surgical residents and attending surgeons.

Authors:  Matthew M Hutter; Katherine C Kellogg; Charles M Ferguson; William M Abbott; Andrew L Warshaw
Journal:  Ann Surg       Date:  2006-06       Impact factor: 12.969

3.  User satisfaction with computerized order entry system and its effect on workplace level of stress.

Authors:  Nasrollah Ghahramani; Irina Lendel; Rehan Haque; Kathryn Sawruk
Journal:  J Med Syst       Date:  2009-06       Impact factor: 4.460

4.  Online time and resource management based on surgical workflow time series analysis.

Authors:  M Maktabi; T Neumuth
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-08-29       Impact factor: 2.924

5.  The Impact of an Intraoperative Clinical Decision Support Tool to Optimize Perioperative Glycemic Management.

Authors:  Gen Li; Chelsie J K Dietz; Robert E Freundlich; Matthew S Shotwell; Jonathan P Wanderer
Journal:  J Med Syst       Date:  2020-08-21       Impact factor: 4.460

6.  Design and evaluation of an interactive training system for scrub nurses.

Authors:  Bernhard Glaser; Tobias Schellenberg; Lucas Koch; Mathias Hofer; Susanne Modemann; Patrick Dubach; Thomas Neumuth
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-02-12       Impact factor: 2.924

7.  Organizational and technological correlates of nurses' trust in a smart intravenous pump.

Authors:  Enid Montague; Onur Asan; Erin Chiou
Journal:  Comput Inform Nurs       Date:  2013-03       Impact factor: 1.985

8.  [Anaesthetists learn--do institutions also learn? Importance of institutional learning and corporate culture in clinics].

Authors:  G Schüpfer; R Gfrörer; A Schleppers
Journal:  Anaesthesist       Date:  2007-10       Impact factor: 1.041

Review 9.  Surgical data science - from concepts toward clinical translation.

Authors:  Lena Maier-Hein; Matthias Eisenmann; Duygu Sarikaya; Keno März; Toby Collins; Anand Malpani; Johannes Fallert; Hubertus Feussner; Stamatia Giannarou; Pietro Mascagni; Hirenkumar Nakawala; Adrian Park; Carla Pugh; Danail Stoyanov; Swaroop S Vedula; Kevin Cleary; Gabor Fichtinger; Germain Forestier; Bernard Gibaud; Teodor Grantcharov; Makoto Hashizume; Doreen Heckmann-Nötzel; Hannes G Kenngott; Ron Kikinis; Lars Mündermann; Nassir Navab; Sinan Onogur; Tobias Roß; Raphael Sznitman; Russell H Taylor; Minu D Tizabi; Martin Wagner; Gregory D Hager; Thomas Neumuth; Nicolas Padoy; Justin Collins; Ines Gockel; Jan Goedeke; Daniel A Hashimoto; Luc Joyeux; Kyle Lam; Daniel R Leff; Amin Madani; Hani J Marcus; Ozanan Meireles; Alexander Seitel; Dogu Teber; Frank Ückert; Beat P Müller-Stich; Pierre Jannin; Stefanie Speidel
Journal:  Med Image Anal       Date:  2021-11-18       Impact factor: 13.828

Review 10.  Surgical process modeling.

Authors:  Thomas Neumuth
Journal:  Innov Surg Sci       Date:  2017-05-20
  10 in total

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