Published in:
Open Access
01-12-2016 | Research article
Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN): evolution of a content management system for point-of-care clinical decision support
Authors:
Amelia Barwise, Lisbeth Garcia-Arguello, Yue Dong, Manasi Hulyalkar, Marija Vukoja, Marcus J. Schultz, Neill K. J. Adhikari, Benjamin Bonneton, Oguz Kilickaya, Rahul Kashyap, Ognjen Gajic, Christopher N. Schmickl
Published in:
BMC Medical Informatics and Decision Making
|
Issue 1/2016
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Abstract
Background
The Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN) is an international collaborative project with the overall objective of standardizing the approach to the evaluation and treatment of critically ill patients world-wide, in accordance with best-practice principles. One of CERTAIN’s key features is clinical decision support providing point-of-care information about common acute illness syndromes, procedures, and medications in an index card format.
Methods
This paper describes 1) the process of developing and validating the content for point-of-care decision support, and 2) the content management system that facilitates frequent peer-review and allows rapid updates of content across different platforms (CERTAIN software, mobile apps, pdf-booklet) and different languages.
Results
Content was created based on survey results of acute care providers and validated using an open peer-review process. Over a 3 year period, CERTAIN content expanded to include 67 syndrome cards, 30 procedure cards, and 117 medication cards. 127 (59 %) cards have been peer-reviewed so far. Initially MS Word® and Dropbox® were used to create, store, and share content for peer-review. Recently Google Docs® was used to make the peer-review process more efficient. However, neither of these approaches met our security requirements nor has the capacity to instantly update the different CERTAIN platforms.
Conclusion
Although we were able to successfully develop and validate a large inventory of clinical decision support cards in a short period of time, commercially available software solutions for content management are suboptimal. Novel custom solutions are necessary for efficient global point of care content system management.