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Wright, Jessica A

0000-0001-9659-4875

Mayo Clinic

Pharmacist, Mayo Clinic, Rochester, Minnesota.

Citations 15

Pharmacogenomics Testing in Patients with Liver Transplant and Potential Impact on Prospective Management
Wright, Jessica , Moyer, Ann M. , Sutton, Joseph , Chaney, Amanda , Nicholson, Wayne T. , Melik, Razan M. El , Matey, Eric T. , Mara, Kristin C. , Black, John L. , Wright, Jessica A , Chaney, Amanda J , El Melik, Razan M, Bielinski, Suzette , Mara, Kristin C , Black, John Logan, Caraballo, Pedro J , El Melik, Razan M , Bielinski, Suzette J. , Caraballo, Pedro J.

Pharmacogenomics | November 8, 2021 | Volume: 22 | Issue: 18 | Pages: 1177-1183

10.2217/pgs-2021-0076 Get It

Acute Pain Crisis Caused by Tramadol Remdesivir Drug–Drug Interaction
Teoli, Dac A., Thompson, Virginia H., Wright, Jessica , Ho, Ivana, Vlaminck, Brittany, Miller, G, Feely, Molly A., Teoli, Dac, Thompson, Virginia, Miller, Gina, Feely, Molly, Wright, Jessica A

Journal of Palliative Medicine | June 21, 2021 | Volume: 24 | Issue: 10 | Pages: 1582-1584

10.1089/jpm.2021.0123 Get It

Drug interactions are common and can affect patient outcomes. Drugs that undergo emergency approval have less preapproval drug testing to identify potential interactions. Tramadol is an effective pain medication prodrug with a complex mechanism of action that requires extensive metabolism. Remdesivir is an antiviral medication given emergency approval to treat hospitalized patients with COVID-19 infections. Remdesivir is also a nucleotide analogue prodrug that undergoes intracellular metabolic conversions to its active metabolite. We discuss the case of a hospitalized patient in the United States diagnosed with COVID-19 pneumonia who developed acute pain crisis secondary to a drug–drug interaction between tramadol and remdesivir, and we propose a possible mechanism of interaction.
Integrating pharmacogenomics into the electronic health record by implementing genomic indicators
Sutton, Joseph , Giri, Jyothsna , Wright, Jessica , Nicholson, Wayne T. , Parkulo, Mark A. , Bielinski, Suzette J. , Moyer, Ann M. , Caraballo, Pedro J. , Sutton, Joseph A, Wright, Jessica A, Bielinski, Suzette , Wright, Jessica A , Kullo, Iftikhar J.

Journal of the American Medical Informatics Association | September 12, 2019 | Volume: 27 | Issue: 1 | Pages: 154-158

10.1093/jamia/ocz177 Get It

Abstract Pharmacogenomics (PGx) clinical decision support integrated into the electronic health record (EHR) has the potential to provide relevant knowledge to clinicians to enable individualized care. However, past experience implementing PGx clinical decision support into multiple EHR platforms has identified important clinical, procedural, and technical challenges. Commercial EHRs have been widely criticized for the lack of readiness to implement precision medicine. Herein, we share our experiences and lessons learned implementing new EHR functionality charting PGx phenotypes in a unique repository, genomic indicators, instead of using the problem or allergy list. The Gen-Ind has additional features including a brief description of the clinical impact, a hyperlink to the original laboratory report, and links to additional educational resources. The automatic generation of genomic indicators from interfaced PGx test results facilitates implementation and long-term maintenance of PGx data in the EHR and can be used as criteria for synchronous and asynchronous CDS.