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Updated: Feb 18, 2026

A Protocol to Characterize the Morphological Changes of Clostridium difficile in Response to Antibiotic Treatment
Published on: May 25, 2017
Sustained reduction in rates of hospital-onset Clostridium difficile infection using an automated electronic health
Jad Antoine Khoury1, William W Sistrunk2, Frances Hixson3
1Division of Infectious Diseases, Mercy Hospital, Saint Louis, MO.
Background:
An automated protocol was designed within our electronic medical record (EMR) to help curb the Clostridium difficile problem at our institution. The protocol will identify patients at high risk for C difficile, improve the timing of testing of patients infected on admission, and enhance the appropriateness of C difficile testing throughout the patient's hospitalization.
Methods:
Admitted patients with 2 of the following 3 criteria were labeled as high risk for C difficile: admission to a medical institution in the preceding 90 days, administration of antibiotics in the preceding 90 days, or a history of C difficile. High-risk patients with diarrhea in the first 3 days of admission are identified in the EMR, and prompt testing for C difficile is done. After day 3, if diarrhea develops, a series of questions is presented to help test the appropriate patients for C difficile.
Results:
A statistically significant reduction in rates of hospital-onset C difficile was achieved after implementation of the protocol.
Conclusions:
Implementation of an automated protocol for targeted testing of high-risk patients for C difficile was successful at reducing rates of hospital-onset C difficile by improving timing and appropriateness of testing.
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Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Antimicrobial Effectiveness
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Critical attributes of NCIS include:

