Structured Clinical Documentation to Improve Quality and Support Practice-Based Research in Headache.

Area of Science:

• Neurology
• Clinical Informatics
• Health Services Research

Background:

• Physicians often input electronic medical record (EMR) data as unstructured free text, hindering quality improvement and research.
• Lack of discrete data in EMRs poses challenges for data-driven healthcare initiatives.

Purpose of the Study:

• To optimize patient care, documentation, and quality improvement in a headache specialty clinic using the EMR.
• To develop a customized, structured clinical documentation support toolkit for headache patient care.

Main Methods:

• Created a specialized toolkit for headache clinics through physician consensus on best practices.
• Assigned tasks to the care team and mapped data to progress notes within the EMR.
• Developed Best Practice Advisories (BPAs) and other clinical decision support tools.

Main Results:

• The toolkit gathers hundreds of discrete, standardized data fields, including validated patient-reported outcome measures.
• Implemented BPAs and documentation support tools to alert physicians.
• Successfully utilized toolkits in 4346 initial patient visits, collecting comprehensive data.

Conclusions:

• EMR can effectively structure and standardize headache clinic visits for quality improvement and research.
• Proprietary toolkits are being shared to facilitate broader adoption and practice-based research.
• Tools aid clinical research enrollment and point-of-care comparative effectiveness trials for migraine patients.