Generating complex clinical documents using structured entry and reporting

Area of Science:

• Medical Informatics
• Clinical Documentation Improvement
• Health Information Technology

Background:

• Structured entry and reporting in medicine is challenging due to the complexity of unstructured patient histories.
• Physician adoption of clinical structured entry tools for documentation has been limited.
• Developing effective tools for structured clinical documentation is crucial for improving healthcare data.

Purpose of the Study:

• To evaluate the impact of a newly developed structured entry and reporting tool on the complexity and richness of clinical documentation.
• To compare the documentation output of the structured entry tool with a standard dictation/transcription model.

Main Methods:

• Two comparative studies were conducted to investigate note complexity.
• Documents generated using the structured entry tool were compared against documents generated via standard dictation/transcription.
• Concept density and complexity were the primary metrics for comparison.

Main Results:

• Documents generated with the structured entry tool contained 64% more concepts than dictated documents (P<0.01).
• The complexity of the documentation was maintained between the structured entry and dictation methods.
• Documentation depth and complexity varied based on the clinician user and the specific note sub-section.

Conclusions:

• The developed structured entry and reporting tool significantly increases the number of concepts captured in clinical notes.
• The tool demonstrates a viable method for enhancing the richness of medical documentation.
• Further investigation into user-specific variations in documentation complexity is warranted.