BMI Candidate
Jeeyae Choi, Ph.D.
Clinical Informatician
SpauldingRehabilitationHospital, Boston, MA
Seminar information:
Date – Thursday, July 29th
Time – 12:00 noon
Location – InformationTechnologiesEngineeringBuilding (ITE), Room 336
Title:
Development and Evaluation of a Computer-Interpretable Guideline for Depression Screening and Initial Management in Primary Care
Abstract:
Clinical Practice Guidelines (CPGs) are common tools in clinical practice and were developed to improve the quality of care by promoting proven interventions and consistency. Studies showed that effective use of CPGs may improve the quality, efficiency, and cost of health care. However, CPGs are not used effectively in daily practice, partly due to the paper-based format of their distribution.
For effective use at the point of care, CPGs should be written in a computer-interpretable format that enables automatic interpretation of datasets in clinical information systems. Computer-Interpretable guidelines have proven to increase the use of CPGs in daily clinical practice. One approach to representing guidelines in a manner suitable for computer processing is the use of Guideline Interchange Format (GLIF).
The CPG paper for depression was selected and translated into a computer-interpretable guideline using GLIF. A web-based decision support system (DSS) for depression screening and initial management was developed based on GLIF encoded guideline. Its perceived easy-to-use and potential usefulness were evaluated by system end-users (Advance Practice Nurses [APN]).
Results of the usability testing revealed that the web-based DSS is potentially useful and easy-to-use. End-users’ acceptance of the system was high among participants although generalizability is limited due to the small sample size. The time required to complete tasks indicated that use of the web-based DSS didn’t require a large amount of time, and the number of mouse clicks suggest sufficient efficiency of the system. In conclusion, enhancedusability of the web-based DSS has the potential to optimize the information and knowledge available to APNs and lead to more effective depression screening and initial management.
Bio
Dr. Jeeyae Choi graduated from SeoulNationalUniversity, School of Nursing (Seoul, Korea) in 1983 (B.S.). In 1995, she obtained a secondB.S. in Electrical Engineering from the University of Illinois at Chicago and completed a master’s degree in Computer System Engineering at BostonUniversity in 1999. In 2006, she earned her doctoral degree in Nursing Informatics from ColumbiaUniversity, School of Nursing. She has been working at SpauldingRehabilitationHospital (Boston, MA) as a clinical Informatician since 2006.
Dr. Choi’s primary research interest is in developing clinical decision support systems. Last year, she was involved as a co-investigator in a project that developed a prototype tool, the Braden Risk Assessment Automated Tool (BRAAT),that automatically determines the pressure ulcer risk using data routinely documented in the current paper-based records of the Brigham & Women’s Hospital. Currently, she focuses on genetic counseling research, specifically risk communication methods. She is preparing a review paper containing what methodologies have been developed to facilitate effective genetic counseling.