Design and implementation of a rule based system for ambulatory nursing data management

Area of Science:

• Nursing Informatics
• Clinical Decision Support Systems
• Health Information Technology

Background:

• Efficient nursing time management is crucial for effective patient care during clinic check-in.
• Current nursing workflows can be time-consuming, impacting patient throughput and care continuity.
• The integration of technology can streamline nursing processes and improve documentation accuracy.

Purpose of the Study:

• To design and implement a forward chaining rule-based program to organize nursing time during clinic check-in.
• To enhance the efficiency of nursing history taking, problem tracking, and documentation.
• To ensure continuity of care through longitudinal maintenance of nursing interventions and problem lists.

Main Methods:

• Development of a rule-based program utilizing a medical logic module trigger engine.
• Implementation of an interactive question manager for nursing history taking.
• Use of a specially designed Medical Query Language (MQL) schema for rule generation and a rule generation shell.
• Integration with computerized medical records for real-time rule set updates.
• Inclusion of an interaction driver to assist nurses with time tracking and data management.

Main Results:

• The program effectively organizes nursing time during clinic check-in by automating aspects of history taking and documentation.
• The system facilitates real-time rule set refreshing from computerized medical records.
• Nurses are assisted in tracking elapsed time, pursuing questions, recording data, and managing nursing interventions.
• Nursing problems are systematically identified and created on the problem list within the computerized record.

Conclusions:

• The designed forward chaining rule-based program significantly improves the organization and efficiency of nursing time during clinic check-in.
• The system supports continuity of care by maintaining nursing question sets and interventions longitudinally.
• This technological approach enhances nursing workflow, documentation, and problem identification within the electronic health record.