1. Pushing the Boundaries: Two Diverse Project at Seattle Children’s Maximize REDCap’s Functionality to Support Improved Diagnosis and Multi-Project Program Management
Deepthi Nair MS1, Debra Jensen2
1Center for Clinical and Translational Research, Seattle Children’s Research Institute, Seattle, WA, United States
2Maintenance of Certification Program, Seattle Children’s Hospital, Seattle, WA, United States
Introduction
  Seattle Children’s Hospital (SCH) uses REDCap extensively to support clinical and administrative projects. We are presenting two innovative projects using REDCap to advance diagnostic and program management capabilities at SCH – 1) MOCap project supports multi project program management as well as physician’s “Maintenance of Certification” program, and 2) REDCap Facial Radiographic Image Database project that has improved data capture and clinical diagnosis in the pediatric craniofacial division.
MOCap Project
Facial Radiographic Image Database Project
BACKGROUND
SCH’s maintenance of certification(MOC) program provides physicians with an opportunity to learn quality improvement (QI) skills and improve patient outcomes significantly. This is achieved through a mentored participation program in quality improvement. The MOCap project in REDCap involves a Multi-Project Program Management where physicians are provided a platform to manage and track their projects for the MOC program.
CHALLENGES
Finding a secure site for hosting the images
Transitioning from a paper format to a picture/image intensive REDCap form
Matching the variables and data formats to existing database
RESULTS
Developed an image intensive form that reflects the paper format
Improved clinical diagnosis
Improved data capture, reducing data errors
Ready availability of data for analysis
FUTURE WORK
Use the REDCap mobile application to capture data at bedside.
Implement other forms in REDCap in the craniofacial division.
REDCap implementation of MOC
BACKGROUND
The craniofacial division at SCH uses REDCap for the data capture of Craniofacial Microsomia (CFM) condition. CFM includes a spectrum of malformations primarily involving structures derived from the first and second branchial arches. Characteristic findings include facial asymmetry resulting from maxillary and/or mandibular hypoplasia; preauricular or facial tags; ear malformations that can include microtia (hypoplasia of the external ear), anotia (absence of the external ear), or aural atresia (absence of the external ear canal); and hearing loss1.
The implementation of this project in REDCap has improved clinical diagnosis and made the data capture process more efficient. In addition, the real benefit of this migration from paper based data capture to REDCap is the ready availability of data for analysis.
Figure 2. REDCap record status dashboard for MOCap project.
MOC PROJECT LIFE CYCLE
Figure 1 shows the project life cycle of the MOC program and the highlighted sections have been implemented in MOCap. Figure 2 shows the Record status dashboard of the MOCap project.
CHALLENGES
Taking a totally paper-driven process/program and working to integrate/automate forms to improve time and efficiency for participants
Bending REDCap to accommodate multiple projects with different teams, yet all using the same forms
Figuring out how to auto populate and work with the reminder/invitation system (a new challenge)
Thinking sequentially about the project and what could be automated
Helping everyone convert from paper to REDCap
RESULTS
MOCap has helped to automate a major part of MOC process resulting in
Significant time saving for physicians
Improved administrative efficiency
205 physicians have enrolled in the MOCap project since the project went live, and the physician participation in MOC program has improved by 35%.
Easy data extraction and reporting
FUTURE WORK
We plan to automate more sections of the MOC project life cycle.
Paper Form
REDCap form
Chart abstraction and Data entry into MS Access database
Process before REDCap Implementation
Process after REDCap Implementation
Figure 1. SCH Maintenance of Certification Program: Project life cycle
REFERENCE
1. Heike CL, Luquetti DV and Hing AV. Craniofacial Microsomia Overview. In Pagon RA, Adam MP, Ardinger HH, et al., editors. GeneReviews® [Internet]. Seattle (WA): University of Washington, Seattle;
ACKNOWLEDGEMENT
This project in REDCap was supported by the Institute of Translational Health Sciences ( UL1TR from NCRR/NIH ).
We thank Dr. Joel S. Tieder MD, MPH (PI, MOCap project), Dr. Daniela Luquetti, MD, PhD (PI, Facial Radiographic Image Database Project), Dr. Carrie L. Heike, MD, MS and Dr. Kelly N. Evans, MD.