首页 | 本学科首页   官方微博 | 高级检索  
检索        


Point-of-care clinical documentation: assessment of a bladder cancer informatics tool (eCancerCareBladder): a randomized controlled study of efficacy,efficiency and user friendliness compared with standard electronic medical records
Authors:Peter J Bostrom  Paul J Toren  Hao Xi  Raymond Chow  Tran Truong  Justin Liu  Kelly Lane  Laura Legere  Anjum Chagpar  Alexandre R Zlotta  Antonio Finelli  Neil E Fleshner  Ethan D Grober  Michael A S Jewett
Institution:1.Division of Urology, Department of Surgical Oncology, Princess Margaret Hospital, Toronto, Ontario, Canada;2.Healthcare Human Factors, University Health Network, Toronto, Ontario, Canada;3.Health Informatics Research, University Health Network, Toronto, Ontario, Canada;4.Division of Urology, Mount Sinai & Women''s College Hospital, University Health Network, Toronto, Ontario, Canada
Abstract:

Objective

To compare the use of structured reporting software and the standard electronic medical records (EMR) in the management of patients with bladder cancer. The use of a human factors laboratory to study management of disease using simulated clinical scenarios was also assessed.

Design

eCancerCareBladder and the EMR were used to retrieve data and produce clinical reports. Twelve participants (four attending staff, four fellows, and four residents) used either eCancerCareBladder or the EMR in two clinical scenarios simulating cystoscopy surveillance visits for bladder cancer follow-up.

Measurements

Time to retrieve and quality of review of the patient history; time to produce and completeness of a cystoscopy report. Finally, participants provided a global assessment of their computer literacy, familiarity with the two systems, and system preference.

Results

eCancerCareBladder was faster for data retrieval (scenario 1: 146 s vs 245 s, p=0.019; scenario 2: 306 vs 415 s, NS), but non-significantly slower to generate a clinical report. The quality of the report was better in the eCancerCareBladder system (scenario 1: p<0.001; scenario 2: p=0.11). User satisfaction was higher with the eCancerCareBladder system, and 11/12 participants preferred to use this system.

Limitations

The small sample size affected the power of our study to detect differences.

Conclusions

Use of a specific data management tool does not appear to significantly reduce user time, but the results suggest improvement in the level of care and documentation and preference by users. Also, the use of simulated scenarios in a laboratory setting appears to be a valid method for comparing the usability of clinical software.
Keywords:Bladder cancer  informatics  electronic medical records  point of care  documentation  synoptic reporting  cancer  machine learning  predictive modeling  statistical learning  privacy technology  decision modeling  education  public health informatics
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号