Literature DB >> 31688354

Acceptability of Standardized EEG Reporting in an Electronic Health Record.

Stephanie Witzman1, Shavonne L Massey2,3, Sudha Kessler2,3, Ernesto Gonzalez-Giraldo2, Sara E Fridinger2, Lila Worden2, Naomi Lewin2, Dennis Dlugos2,3, Susan Melamed2,4, Mark Fitzgerald2,3,4, France W Fung2,3, Marissa Ferruzi4, Nicole McNamee4, Denise LaFalce4, Maureen Donnelly4, Amber Haywood4, Linda Allen-Napoli4, Brenda Banwell2,3, Nicholas S Abend2,3,4,5.   

Abstract

RATIONALE: Implementation of electronic health records may improve the quality, accuracy, timeliness, and availability of documentation. Thus, our institution developed a system that integrated EEG ordering, scheduling, standardized reporting, and billing. Given the importance of user perceptions for successful implementation, we performed a quality improvement study to evaluate electroencephalographer satisfaction with the new EEG report system.
METHODS: We implemented an EEG report system that was integrated in an electronic health record. In this single-center quality improvement study, we surveyed electroencephalographers regarding overall acceptability, report standardization, workflow efficiency, documentation quality, and fellow education using a 0 to 5 scale (with 5 denoting best).
RESULTS: Eighteen electroencephalographers responded to the survey. The median score for recommending the overall system to a colleague was 5 (range 3-5), which indicated good overall satisfaction and acceptance of the system. The median scores for report standardization (4; 3-5) and workflow efficiency (4.5; 3-5) indicated that respondents perceived the system as useful and easy to use for documentation tasks. The median scores for quality of documentation (4.5; 1-5) and fellow education (4; 1-5) indicated that although most respondents believed the system provided good quality reports and helped with fellow education, a small number of respondents had substantially different views (ratings of 1).
CONCLUSIONS: Overall electroencephalographer satisfaction with the new EEG report system was high, as were the scores for perceived usefulness (assessed as standardization, documentation quality, and education) and ease of use (assessed as workflow efficiency). Future study is needed to determine whether implementation yields useful data for clinical research and quality improvement studies or improves EEG report standardization.

Entities:  

Mesh:

Year:  2020        PMID: 31688354      PMCID: PMC7186141          DOI: 10.1097/WNP.0000000000000639

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.590


  20 in total

1.  Randomised trial comparing the recording ability of a novel, electronic emergency documentation system with the AHA paper cardiac arrest record.

Authors:  Eliot Grigg; Andrew Palmer; Jeffrey Grigg; Peter Oppenheimer; Tim Wu; Axel Roesler; Bala Nair; Brian Ross
Journal:  Emerg Med J       Date:  2013-07-29       Impact factor: 2.740

2.  Transitioning from a computerized provider order entry and paper documentation system to an electronic health record: expectations and experiences of hospital staff.

Authors:  Eric S Kirkendall; Linda M Goldenhar; Jodi L Simon; Derek S Wheeler; S Andrew Spooner
Journal:  Int J Med Inform       Date:  2013-08-20       Impact factor: 4.046

Review 3.  American Clinical Neurophysiology Society's Standardized Critical Care EEG Terminology: 2012 version.

Authors:  L J Hirsch; S M LaRoche; N Gaspard; E Gerard; A Svoronos; S T Herman; R Mani; H Arif; N Jette; Y Minazad; J F Kerrigan; P Vespa; S Hantus; J Claassen; G B Young; E So; P W Kaplan; M R Nuwer; N B Fountain; F W Drislane
Journal:  J Clin Neurophysiol       Date:  2013-02       Impact factor: 2.177

4.  Challenges to nurses' efforts of retrieving, documenting, and communicating patient care information.

Authors:  Gail Keenan; Elizabeth Yakel; Karen Dunn Lopez; Dana Tschannen; Yvonne B Ford
Journal:  J Am Med Inform Assoc       Date:  2012-07-21       Impact factor: 4.497

5.  A comparison of paper documentation to electronic documentation for trauma resuscitations at a level I pediatric trauma center.

Authors:  Carla Coffey; Lee Ann Wurster; Jonathan Groner; Jeffrey Hoffman; Valerie Hendren; Kathy Nuss; Kathy Haley; Julie Gerberick; Beth Malehorn; Julia Covert
Journal:  J Emerg Nurs       Date:  2014-07-01       Impact factor: 1.836

6.  Facilitating Adoption of an Electronic Documentation System.

Authors:  Nazarine T Jones; Charlotte Seckman
Journal:  Comput Inform Nurs       Date:  2018-05       Impact factor: 1.985

Review 7.  The technology acceptance model: its past and its future in health care.

Authors:  Richard J Holden; Ben-Tzion Karsh
Journal:  J Biomed Inform       Date:  2009-07-15       Impact factor: 6.317

8.  Barriers for Adopting Electronic Health Records (EHRs) by Physicians.

Authors:  Sima Ajami; Tayyebe Bagheri-Tadi
Journal:  Acta Inform Med       Date:  2013

9.  An investigation of the effect of nurses' technology readiness on the acceptance of mobile electronic medical record systems.

Authors:  Kuang-Ming Kuo; Chung-Feng Liu; Chen-Chung Ma
Journal:  BMC Med Inform Decis Mak       Date:  2013-08-12       Impact factor: 2.796

10.  Explanation and elaboration of the SQUIRE (Standards for Quality Improvement Reporting Excellence) Guidelines, V.2.0: examples of SQUIRE elements in the healthcare improvement literature.

Authors:  Daisy Goodman; Greg Ogrinc; Louise Davies; G Ross Baker; Jane Barnsteiner; Tina C Foster; Kari Gali; Joanne Hilden; Leora Horwitz; Heather C Kaplan; Jerome Leis; John C Matulis; Susan Michie; Rebecca Miltner; Julia Neily; William A Nelson; Matthew Niedner; Brant Oliver; Lori Rutman; Richard Thomson; Johan Thor
Journal:  BMJ Qual Saf       Date:  2016-04-13       Impact factor: 7.035

View more
  3 in total

1.  Validation of a Model for Targeted EEG Monitoring Duration in Critically Ill Children.

Authors:  France W Fung; Jiaxin Fan; Darshana S Parikh; Lisa Vala; Maureen Donnelly; Marin Jacobwitz; Alexis A Topjian; Rui Xiao; Nicholas S Abend
Journal:  J Clin Neurophysiol       Date:  2022-04-20       Impact factor: 2.590

2.  Electrographic Seizures and Outcome in Critically Ill Children.

Authors:  France W Fung; Zi Wang; Darshana S Parikh; Marin Jacobwitz; Lisa Vala; Maureen Donnelly; Alexis A Topjian; Rui Xiao; Nicholas S Abend
Journal:  Neurology       Date:  2021-04-23       Impact factor: 11.800

3.  Assessing seizure burden in pediatric epilepsy using an electronic medical record-based tool through a common data element approach.

Authors:  Mark P Fitzgerald; Michael C Kaufman; Shavonne L Massey; Sara Fridinger; Marisa Prelack; Colin Ellis; Xilma Ortiz-Gonzalez; Lawrence E Fried; Marissa P DiGiovine; Susan Melamed; Marissa Malcolm; Brenda Banwell; Donna Stephenson; Stephanie M Witzman; Alexander Gonzalez; Dennis Dlugos; Sudha Kilaru Kessler; Ethan M Goldberg; Nicholas S Abend; Ingo Helbig
Journal:  Epilepsia       Date:  2021-06-02       Impact factor: 5.864

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.