Electronic health record implementation: how to identify and analyze the possible negative impacts

Area of Science:

• Health Informatics
• Healthcare Management
• Information Systems

Background:

• Implementing electronic medical record (EMR) systems in hospitals presents challenges.
• Potential negative impacts can disrupt healthcare delivery and patient safety.
• Proactive identification and classification of these impacts are essential for successful EMR adoption.

Purpose of the Study:

• To identify potential negative impacts of EMR system implementation.
• To classify these impacts based on criticality and severity.
• To evaluate the effectiveness of the impact identification and classification methods.

Main Methods:

• Systematic identification of potential negative impacts during EMR implementation.
• Classification of identified impacts using predefined criticality criteria (high, medium, low severity).
• Analysis of the effectiveness of the impact assessment methodology post-implementation.

Main Results:

• 89.20% of predicted negative impacts occurred as anticipated.
• 88.94% of identified impacts were accurately classified according to their severity.
• The study validated the predictive accuracy and classification reliability of the chosen methods.

Conclusions:

• Predicting and classifying negative impacts are vital steps for successful EMR implementation in hospitals.
• The employed methods for impact identification and classification proved effective in most instances.
• Effective impact management strategies can mitigate risks associated with EMR adoption.