2023-2024 Education Roundtable Series
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2023-2024 SCHEDULE
Date | Time (Eastern) | Presenter(s) | Topic | |
1. | September 21,2023 | 14:00 | Shirley Li | Approaches to Ensure the Equivalence of Patient Results within One Healthcare System |
2. | October 5, 2023 | 14:00 | Cody Lewis | Using big data to derive thyroid hormone reference intervals and optimize a TSH testing algorithm |
3. | October 19, 2023 | 11:30 | Jonathan Genzen | Maximizing Efficiency in Processing and Specimen Distribution Through Laboratory Automation |
4. | November 2, 2023 | 11:30 | Andre Mattman, Lawrence de Koning & Brian Lam | Unusual and Unexpected Cases in Clinical Chemistry |
5. | November 16, 2023 | 14:00 | Kelly Doyle | Estimating Reference Intervals from Routine Laboratory Data – Application of the refineR and TMC R Packages |
6. | December 14, 2023 | 11:30 | Jessica Boyd | Opioids and Gabapentin |
7. | January 18, 2024 | 11:30 | Khosrow Adeli | TBA – Overview of IFCC Activities and Experience as President |
8. | February 1, 2024 | 11:30 | Allison Venner & Vathany Kulasingam | TBA – LIS Implementation |
9. | February 15, 2024 | 11:30 | ||
10. | February 29, 2024 | 11:30 | Wes Schreiber | Joint presentation with Archives Committee |
11. | March 7, 2024 | 14:00 | Cristiana Stefan & Daniel Beriault | TBA – Drug Checking Program |
12. | March 21, 2024 | 11:30 | Michael Reid & Amy Pyle Eilola | TBA – Preanalytical Considerations in Pediatric Testing |
13. | April 4, 2024 | 14:00 | Christopher McCudden | TBA – Use of AI in CKD Management |
14. | April 18, 2024 | 11:30 | Lei Fu | TBA – Pre-eclampsia Testing in a Tertiary Care Centre |
15. | May 2, 2024 | 11:30 | TBD | Fellows in Training – Presentations/Journal Clubs |
16. | May 16, 2024 | 14:00 | ||
17. | May 30, 2024 | 14:00 |
09-21-23: Approaches to Ensure the Equivalence of Patient Results within One Healthcare System
10-05-23: Using big data to derive thyroid hormone reference intervals and optimize a TSH testing algorithm
#2 October 5, 2023 | Using big data to derive thyroid hormone reference intervals and optimize a TSH testing algorithm |
Speaker: | Cody Lewis, Assistant Professor, Clinical Biochemist, University of Saskatchewan / Saskatchewan Health Authority
Cody Lewis is currently a Clinical Biochemist working for the Saskatchewan Health Authority with an academic appointment at the University of Saskatchewan. He oversees the general chemistry laboratory at St Paul’s Hospital and co-leads point of care testing in Saskatoon. Additionally, Cody has interests in testing associated with endocrine disorders. Prior to joining the team in Saskatoon, Cody completed his fellowship training 2021 in Calgary Alberta. Before that, he obtained a PhD in Cancer Sciences from the University of Alberta and an MSc from the University of Lethbridge. |
Overview: | Physicians use reference intervals (RIs) to interpret laboratory results. Laboratories and analytical platforms often have different RIs. Alberta laboratories are striving to standardize RIs across the province, which includes thyroid hormones. To estimate RIs and to develop a reflex TSH testing algorithm, indirect sampling of “big data” was utilized. Data was analyzed by three statistical models: Bhattacharya, refineR, and non-parametric. TSH upper limits were highly variable depending on the model, ranging from 4.70 to 6.50 mIU/L. To refine estimated limits, a panel of adult and pediatric endocrinologists was engaged. The final decision took into account the percentage of normal matched free-T4 results. The standardization of thyroid RIs and the development of a new testing algorithm were achieved by this approach. |
Objectives: | At the conclusion of this session, participants will be able to: 1) Discuss the impact of implementing a sub-optimal reference intervals (RIs) 2) Define big data and appreciate how it can be used to estimate RIs 3) Recognize the limitation of deriving RIs via indirect sampling methods and discuss options for refining estimated limits |
10-19-23: Maximizing Efficiency in Processing and Specimen Distribution Through Laboratory Automation
#3. October 19, 2023 | Maximizing Efficiency in Processing and Specimen Distribution Through Laboratory Automation |
Speaker: | Jonathan Genzen
Dr. Jonathan Genzen is a professor at the University of Utah Department of Pathology. He serves as Chief Medical Officer at ARUP Laboratories, a not-for-profit enterprise of the University of Utah. He previously served as ARUP’s Chief Operations Officer. Dr. Genzen completed his undergraduate education at Northwestern University, and then both his Ph.D. and M.D. training at the University of Chicago. He joined ARUP Laboratories in 2013. Dr. Genzen is a medical director in ARUP’s chemistry division and is medical director of ARUP’s laboratory automation team. His clinical and research focus is on automated clinical chemistry, process improvement initiatives, and the impact of laboratory regulatory proposals on patient care. |
Overview: | This lecture will describe how pre-analytical and post-analytical automation can help to improve efficiency and quality across small, medium, and large size clinical laboratories. It will also discuss emerging technologies in use across manufacturing settings that also can provide benefits to clinical laboratories, including software solutions called robotic process automation. The benefits of standardization will be emphasized across solutions presented. |
Objectives: | At the conclusion of this session, participants will be able to: 1) Understand the importance of automation in pre-analytical processing to reduce the risk of pre-analytical error. 2) Describe the benefits of standardization for routine aliquots and in molecular infectious disease testing. 3) Explain how robotic process automation can lead to clinical laboratory efficiency and process improvement. |
11-02-23: Unusual and Unexpected Cases in Clinical Chemistry
#4. November 2, 2023 | Unusual and Unexpected Cases in Clinical Chemistry |
Speakers: | Andre Mattman, MD, FRCPC, Medical Biochemist, St. Paul’s Hospital Chemistry Laboratory / Vancouver General Hospital Adult Metabolic Diseases Clinic
Lawrence de Koning, Associate Professor and Clinical Biochemist, University of Clagary, Alberta Precision Laboratories and Alberta Children’s Hospital Dr. Lawrence de Koning completed a PhD in Health Research Methodology from McMaster University in 2009, and concurrent postdoctoral fellowships in nutritional epidemiology and clinical chemistry at Harvard University from 2009-2012. He became board certified by the American Board of Clinical Chemistry in 2013 and a fellow of the Canadian Academy of Clinical Biochemistry in 2015. Dr. de Koning works as a pediatric clinical biochemist at Alberta Children’s Hospital, a consultant clinical biochemist for Rockyview General Hospital and has numerous clinical and research interests including biomarkers and epidemiology of pediatric and perinatal conditions, laboratory quality improvement, cardiovascular disease, and nutrition. Ka Hang Brian Lam, University of California, Los Angeles |
Overview: | Three cases of oxalate nephropathy will be reviewed.
CASE 1: Presented by Dr. Mattman: Investigation of oxalate nephropathy Oxlate nephropathy may be caused by primary and secondary etiologies. The investigation of oxalate nephropathy is complicated by the impact of nephropathy on oxalate concentrations in blood and urine. Nonetheless, oxalate nephropathy is responsive to etiology specific therapy – in some cases readily responsive – and so the laboratory’s role in documenting the etiology is an important piece of patient recovery. At the conclusion of this session, participants will be able to: CASE 2: Presented by Dr. de Koning: Critically high ammonia in an adolescent girl This session will review a case of repeatedly elevated plasma ammonia levels in an adolescent girl which were caused by specimen platelet contamination. Topics covered will include ammonia metabolism, urea cycle disorders, ammonia analysis, and the many preanalytical causes of elevated ammonia and how to minimize them. At the conclusion of this sessions, participants will be able to CASE 3: Presented by Dr. Bam: A suspected case of carbon monoxide poisoning consistent with fentanyl toxicity This lecture sill describe a case of fentanyl poisoning that was consistent with carbon monoxide poisoning. |
11-16-23: Estimating Reference Intervals from Routine Laboratory Data – Application of the refineR and TMC R Packages
#5. November 16, 2023 | Estimating Reference Intervals from Routine Laboratory Data – Application of the refineR and TMC R Packages |
Speaker: | Kelly Doyle, PhD, D(ABCC), FAACC. University of Utah School of Medicine, Department of Pathology and ARUP Laboratories, Salt Lake City, UT
Dr Doyle is a board‐certified clinical chemist and is an Associate Professor of pathology at the University of Utah. He is associate Director of the Clinical Chemistry Fellowship program and serves as the Medical Director of Special Chemistry and Endocrinology at ARUP Laboratories. He has a special interest in laboratory science education, the application of mass spectroscopy, and quality management. |
Overview: | The aim of this presentation is to describe the application of modernized indirect reference interval approaches, based on ready to use R packages refineR and TMC. Reference intervals are an integral component for result interpretation and are a regulatory requirement of laboratory medicine practice. Establishing RIs using the traditional approach by direct sampling is complicated by insufficient access to patients within varying interval partitions (e.g., pediatrics), and adoption or transferring of RIs is hindered by lack of assay standardization and unique population demographics. However, indirect sampling techniques using laboratory database results have significant practical advantages compared to direct sampling methods. The use of stored patient data can offer a faster and less costly means to developing RIs. |
Objectives: | At the conclusion of this session, participants will be able to: 1) Summarize the establishment and use of reference intervals in clinical laboratory practice. 2) Discuss the application of direct and indirect methods to determine population/sex/age-based reference intervals. 3) Describe the use of indirect methods refineR and TMC in estimating reference intervals from stored results. |