Literature DB >> 15675984

Does the implementation of a clinical information system decrease the time intensive care nurses spend on documentation of care?

K Saarinen1, M Aho.   

Abstract

BACKGROUND: The number of intensive care units (ICU) using a clinical information system (CIS) is increasing. It is believed that replacing manual charting with an automatic documentation system allocates nurses more time for patient care. The objective of this study was to measure changes in nurses' working time utilization after the implementation of a CIS in a polyvalent ICU of a large Finnish central hospital.
METHODS: An activity analysis-based comparison of the ICU nurses' working time utilization before and after the implementation of a CIS.
RESULTS: After the implementation of a CIS the total time the nurses spent on documentation of nursing care increased by 3.6% (NS), 15 min per shift of 8 h per nurse. The total time they spent on patient care increased by 5.5% (P < 0.05), 21 min. Intensive care nursing activities increased by 3.7% (P < 0.05), 14 min. The length of the nurses' ICU experience had some effect on these figures. The demand for nurse labor remained constant.
CONCLUSIONS: After the implementation of a CIS, an increase in the time nurses spent on documentation of care was detected, which suggests a need for further development of the system. As all the measured time changes were relatively small, any plans to reduce the ICU staff number with the aid of computers were not justified.

Entities:  

Mesh:

Year:  2005        PMID: 15675984     DOI: 10.1111/j.1399-6576.2005.00546.x

Source DB:  PubMed          Journal:  Acta Anaesthesiol Scand        ISSN: 0001-5172            Impact factor:   2.105


  10 in total

1.  Time-motion analysis of clinical nursing documentation during implementation of an electronic operating room management system for ophthalmic surgery.

Authors:  Sarah Read-Brown; David S Sanders; Anna S Brown; Thomas R Yackel; Dongseok Choi; Daniel C Tu; Michael F Chiang
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

2.  Using High-Fidelity Simulation and Eye Tracking to Characterize EHR Workflow Patterns among Hospital Physicians.

Authors:  Julie W Doberne; Ze He; Vishnu Mohan; Jeffrey A Gold; Jenna Marquard; Michael F Chiang
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

3.  [Comparison of current critical care information systems from the perspective of clinical users : Summary of the results of a German nationwide survey].

Authors:  K Suchodolski; F von Dincklage; G Lichtner; W Friesdorf; B Podtschaske; M Ragaller
Journal:  Anaesthesist       Date:  2019-06-05       Impact factor: 1.041

4.  Design and validation of a questionnaire to evaluate the usability of computerized critical care information systems.

Authors:  Falk von Dincklage; Gregor Lichtner; Klaudiusz Suchodolski; Maximilian Ragaller; Wolfgang Friesdorf; Beatrice Podtschaske
Journal:  J Clin Monit Comput       Date:  2016-06-03       Impact factor: 2.502

5.  Novel Method of Atrial Fibrillation Case Identification and Burden Estimation Using the MIMIC-III Electronic Health Data Set.

Authors:  Eric Y Ding; Daniella Albuquerque; Michael Winter; Sophia Binici; Jaclyn Piche; Syed Khairul Bashar; Ki Chon; Allan J Walkey; David D McManus
Journal:  J Intensive Care Med       Date:  2019-07-28       Impact factor: 3.510

6.  The Reduction in Medical Errors on Implementing an Intensive Care Information System in a Setting Where a Hospital Electronic Medical Record System is Already in Use: Retrospective Analysis.

Authors:  Yusuke Seino; Nobuo Sato; Masafumi Idei; Takeshi Nomura
Journal:  JMIR Perioper Med       Date:  2022-08-31

Review 7.  Clinical information systems in the intensive care unit: primum non nocere.

Authors:  Stephen E Lapinsky
Journal:  Crit Care       Date:  2009-01-09       Impact factor: 9.097

Review 8.  WITHDRAWN: Nursing record systems: effects on nursing practice and healthcare outcomes.

Authors:  Christine Urquhart; Rosemary Currell; Maria J Grant; Nicholas R Hardiker
Journal:  Cochrane Database Syst Rev       Date:  2018-05-15

9.  Survey of information technology in Intensive Care Units in Ontario, Canada.

Authors:  Stephen E Lapinsky; David Holt; David Hallett; Mohamed Abdolell; Neill K J Adhikari
Journal:  BMC Med Inform Decis Mak       Date:  2008-01-24       Impact factor: 2.796

10.  A systematic review of the impact of health information technology on nurses' time.

Authors:  Esther C Moore; Clare L Tolley; David W Bates; Sarah P Slight
Journal:  J Am Med Inform Assoc       Date:  2020-05-01       Impact factor: 4.497

  10 in total

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