The Impact of an Enterprise Electronic Medical Record (EEMR) Model vs a Clinical Information System (CIS) Model on Usability, Efficiency, and Adaptability.

Clicks: 319
ID: 28399
2018
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #9 of 12 articles by views in amia annual symposium proceedings amia symposium

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
This paper describes a methodology that engages the clinical community into the design process of creating Clinical Information Systems (CISs) under a Clinical Team-Led Design (CTLD) approach in the context of using Immediately Adaptable (IA) system development technology. The methodology is contrasted against the Enterprise Electronic Medical Record (EEMR) model for usability, efficiency, and adaptability. The methodology was tested in a Breast Cancer setting where the CIS went through 4 rapid agile stages. Time and motion statistics, training times, system changes, and user feedback data was collected for assessment. The results showed that the Breast CIS increased time efficiency by 30% in the first 3 months of implementation. Users reported high usability and trainability of the system. Over 95% of system design change requests were satisfied with an average turn-around time of 3 days. The results show that systems designed under a CTLD approach, accompanied by Immediately Adaptable system architecture, provide greater efficiency for staff in clinical settings while enabling the workflow processes to be adapted dynamically as part of continuous process improvement.
Reference Key
besiso2018theamia Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Besiso, Ali;Patrick, Jon D;Dip, Gard;Ho, Vickie;Cheng, Yuzhong;
Journal amia annual symposium proceedings amia symposium
Year 2018
DOI
DOI not found
URL URL not found
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.