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A certified genetic counselor explores the benefits of HSMD

Need a faster way to review medical literature?

Clinical cancer geneticists and genetic counselors need a way to shorten the literature review process of their workflow without jeopardizing patient outcomes. They need a workflow that allows them to spend more time interacting with patients and less time behind a computer screen. They need a workflow that supports an increase in billing and reimbursement activities and decreases fatigue and burnout.

Join the conversation with Chelsea Alexander, a certified genetic counselor, and Aarthi Goverdhan, QIAGEN‘s lead oncology application development scientist, to discover how the Human Somatic Mutation Database (HSMD) can simplify your somatic NGS analysis and significantly reduce your literature review time by up to 90%.

Clinical Cancer Genetics use HSMD
How do clinical geneticists and genetic counselors manage more patients with less time? Learn about a new tool that every clinical cancer genetics professional needs.
Meet the experts
Chelsea Alexander, MS
Chelsea Alexander is a Project Manager for Professional Genomic Services at QIAGEN Digital Insights (QDI) and a Certified Genetic Counselor. In her current role at QDI, Chelsea manages the professional services implementation of NGS secondary analysis and variant interpretation solutions for clinical labs. Prior to this, she served as a Senior Genetic Analyst and program manager for clinical algorithms at InformedDNA. She is also a certified genetic counselor with eight years of direct patient care experience. She served as a genetic counselor at the Children’s Hospitals and Clinics of Minnesota and at the University of Minnesota Medical Center.
Aarthi Goverdhan, PhD
Aarthi Goverdhan is a Lead Scientist for Oncology Applications at QDI. A passionate scientist with a strong background in clinical genomics and cancer genetics research, Aarthi is enthusiastic about the power and promise of precision oncology. In her current role, she supports and works closely with a collaborative, cross-functional team of curation scientists, knowledge engineers, product owners, and software engineers to develop and refine informatics tools to enhance NGS variant analysis and interpretation for clinical customers. Prior to joining QIAGEN, Aarthi served as a research scientist at MD Anderson Cancer Center, where she completed her postdoctoral fellowship.