Standardizing Care of Neuro-oncology Patients Using a Customized Electronic Medical Record Toolkit.
Publication/Presentation Date
6-1-2021
Abstract
OBJECTIVE: To develop and implement a customized toolkit within the electronic medical record (EMR) to standardize care of patients with brain tumors.
PATIENTS AND METHODS: We built a customized structured clinical documentation support toolkit to capture standardized data at office visits. We detail the process by which this toolkit was conceptualized and developed. Toolkit development was a physician-led process to determine a work flow and necessary elements to support best practices as defined by the neuro-oncology clinical team.
RESULTS: We have developed in our EMR system a customized work flow for clinical encounters with neuro-oncology patients. In addition to providing a road map for clinical care by our neuro-oncology team, the toolkit is designed to maximize discrete data capture. Several hundred fields of discrete data are captured through the toolkit in the context of our routine office visits. We describe the characteristics of patients seen at our clinic, the adoption of the toolkit, current initiatives supported by the toolkit, and future applications.
CONCLUSION: The EMR can be effectively structured to standardize office visits and improve discrete data capture. This toolkit can be leveraged to support quality improvement and practice-based research initiatives at the point of care in a neuro-oncology practice.
Volume
5
Issue
3
First Page
625
Last Page
634
ISSN
2542-4548
Published In/Presented At
Merrell, R. T., Simon, K. C., Martinez, N., Vazquez, R. M., Hadsell, B., Epshteyn, A., Wilk, G., Frigerio, R., & Maraganore, D. M. (2021). Standardizing Care of Neuro-oncology Patients Using a Customized Electronic Medical Record Toolkit. Mayo Clinic proceedings. Innovations, quality & outcomes, 5(3), 625–634. https://doi.org/10.1016/j.mayocpiqo.2021.04.001
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
34195554
Department(s)
Administration and Leadership
Document Type
Article