Karen Wong joined us on October 5, 2020, for a discussion on the development and implementation of PROs in low and middle-income countries
Karen Wong Riff is a Pediatric Plastic Surgeon-Scientist at SickKids Hospital and the University of Toronto. She completed her MD and Plastic Surgery residency at the University of Toronto, followed by fellowship training at SickKids and Chang Gung Memorial Hospital in Taiwan. She has a Ph.D. in Health Research Methodology from McMaster University. She is the co-developer of the CLEFT-Q and the FACE-Q Craniofacial Module, two patient-reported outcome measures for patients with conditions affecting facial appearance and function. Her clinical practice is focused on cleft care and microsurgical reconstruction.
On November 2nd, 2021 two groups presented their work focusing on PROMs in the time of COVID-19
Dr. Audrey Lim and Rakhshan Kamran from McMaster University in Canada presented their talk titled, Using PREMs to Improve Virtual Care Delivery in Pediatric Complex Care during COVID-19: A Quality Improvement Initiative.
Dr. Elena Tsangaris and Dr. Manraj Kaur from the PROVE Center presented their talk titled, Using Patient-Reported Outcome Measures to Assess Psychological Well-being in the US general population.
Dr. Janel Hanmer joined us on February 1, 2021, to discuss health utility measurements.
Dr. Hanmer’s primary research focus is on health-related quality of life measurement, particularly health utility measurement. Her recent work has focused on developing a new health utility score for the Patient-Reported Outcomes Measurement Information System (PROMIS). This work combines item response theory and econometric theory.
In addition, Dr. Hanmer is the Medical Director for Patient-Reported Outcomes at UPMC where she oversees the design and implementation of patient-reported outcome measure collection in clinical settings through Epic. In this role, she evaluates patient-reported outcomes in clinical populations and the effect of measure collection on practices. Dr. Hanmer is an attending physician on the inpatient general internal medicine service at UPMC Montefiore.
Dr. Linette Koppert’s joined us on March 2, 2021, for a lecture on PROM implementation at Erasmus MC.
Dr. Linette Koppert is a surgical oncologist at the Erasmus MC Cancer Institute. Her areas of focus are breast cancer and thyroid cancer. In 2014, she co-founded the Academic Breast Cancer Center, a center of excellence for hereditary breast cancer. Dr. Koppert’s main focus is on breast cancer in young women, BRCA 1/2 gene mutation carriers, and complex breast cancers.
Dr. Koppert’s major research interests are the quality of breast cancer surgery, innovative measures to predict the outcome of surgical treatment, and Value-Based Healthcare.
Dr. Dagmar Amtmann joined us on April 5, 2021, at the University of Washington Caregiver stress and Benefit Scale.
Dr. Amtmann will provide an overview of the psychometric properties of the UW Caregiver Stress and Benefit Scale, summarize what we have learned about caregiver stress and benefit in both the USA and EU, and provide suggestions for how to use the scales in clinical practice to screen for caregivers who are overwhelmed and may benefit from more support.
Dr. Amtmann is a health outcomes researcher, a Research Professor at the University of Washington (UW), Department of Rehabilitation Medicine, and the Principal Investigator of the UW Center on Outcomes Research in Rehabilitation (UWCORR) that houses numerous projects related to measuring health outcomes. She leads the outcomes measurement core of the NIH-funded outcomes research in prosthetics and orthotics, and she is PI of the National Data and Statistical Center for NIDILRR funded Burn Model System.
Dr. Alex Turchin’s joined us on Monday, May 10, 2021 to share and demo his Canary: A free natural language processing platform for clinicians and researchers.
Natural Language Processing (NLP) technology can make it possible to discover and analyze critical knowledge buried in unstructured clinical data. Nevertheless, widespread adoption of NLP has yet to materialize; the technical skills required for the development or use of such software can present a major barrier for medical researchers. In particular, no free NLP software geared towards biomedical researchers with limited computer science backgrounds has been made available. To address this issue we have developed CANARY, a free and open-source solution designed for users without NLP, software development, or engineering experience. The software allows users to build NLP tools, ranging from simple to complex, using a graphic user interface. Canary comes with an extensive user manual and a number of starter NLP examples as well as a Library containing production-grade NLP tools developed by Canary users. Canary can be used to analyze a wide range of narrative electronic documents, including progress notes, discharge summaries, radiology reports, etc. It supports both RPDR and EDW narrative data formats.