Molly McClellan

Designing an Educational Website to Improve Quality of Supportive Oncology Care for Women with Ovarian Cancer: An Expert Usability Review and Analysis.

A broad-based research team developed a Health Insurance Portability and Accountability Act (HIPAA)-compliant educational website for women with ovarian cancer to improve the quality of supportive oncology care. Prior to a randomized clinical trial of the website, initial usability testing was implemented to evaluate the website. The initial review found that 165/247 checklist items had sufficient information to allow for evaluation with the website achieving an overall score of 63%. By category, the lowest scores were for the Home Page, Task Orientation, Page Layout & Visual Design, and Help, Feedback & Error Tolerance. Major issues thought to potentially impede actual usage were prioritized in redevelopment and the second usability review, conducted by the same expert, saw an improvement in scores. Incorporating usability concepts from the start of development, fulfilling the positive expectations of end-users, and identifying the technical and personal factors that optimize use may greatly enhance the usage of health websites.

Deidentification of Facial Images Using Composites

PURPOSE Maxillofacial surgeons rely on photography for education and documentation. Photographs of the face, unlike those of other body regions, are readily identifiable. Traditional methods of facial image deidentification decrease educational quality or fail to adequately conceal identity. In the present study, a method that uses blended facial composites to deidentify original facial images was developed. This method allows significant components of the original face to be visualized while concealing its identity. MATERIALS AND METHODS The method was used to develop 20 different composite facial images that were viewed by student subjects. Ten of these images contained at least one third of a face that was familiar to the subjects. Subjects viewed the composite faces twice--first unaware that the faces were composites, and then primed to the presence of composites. Subjects later rated the efficacy of this method for image deidentification. RESULTS When unaware that they were viewing composite images, no subjects recognized the familiar faces within the composites or rated them as familiar (0/120 total views, 0%). When later primed to the potential presence of familiar faces within composites, the identification rate increased significantly (74/120, 62%; P < .001). Results were similar no matter which portion of the familiar face (upper, 67%; mid, 54%; lower, 67%) was present. Subjects rated all composites as clinically realistic patient images. They also rated composites as more effective at deidentification than traditional methods. CONCLUSION The use of composites appears to be a promising concept for facial image deidentification. Further larger-scale studies are needed to validate these findings.