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Wiley, Ken

Mayo Clinic

National Institutes of Health

Citations 2

A research agenda to support the development and implementation of genomics-based clinical informatics tools and resources
Wiley, Ken, Findley, Laura, Goldrich, Madison P., Rakhra-Burris, Tejinder, Stevens, Ana, Bult, Carol J. , Deverka, Patricia A. , Green, Eric D. , Jarvik, Gail P. , Ramos, Erin M. , Relling, Mary V. , Roden, Dan M. , Rowley, Robb , Alterovitz, Gil , Aronson, Samuel , Bastarache, Lisa , Jeff, Janina M., Madhavan, Subha , Mendonça, Eneida A. , Ohno‐Machado, Lucila , Ritchie, Marylyn D. , Walton, Nephi , Zayas‐Cabán, Teresa, Manolio, Teri A. , Bult, Carol J , Roden, Dan M. , Cimino, James J , Del Fiol, Guilherme , Hoffman, Mark A , Kawamoto, Kensaku , Jarvik, Gail P , Williams, Pamela, Chisholm, Rex L. , Ginsburg, Geoffrey S. , Mensah, George A. , Cimino, James J. , Crowgey, Erin L. , Fiol, Guilherme Del , Freimuth, Robert R. , Hoffman, Mark A. , Johnson, Kevin B. , Pratap, Siddharth , Taylor, Casey Overby , Weng, Chunhua , Williams, Marc S

Journal of the American Medical Informatics Association | April 14, 2022 | Volume: 29 | Issue: 8 | Pages: 1342-1349

10.1093/jamia/ocac057 Get It

Abstract Objective The Genomic Medicine Working Group of the National Advisory Council for Human Genome Research virtually hosted its 13th genomic medicine meeting titled “Developing a Clinical Genomic Informatics Research Agenda”. The meeting’s goal was to articulate a research strategy to develop Genomics-based Clinical Informatics Tools and Resources (GCIT) to improve the detection, treatment, and reporting of genetic disorders in clinical settings. Materials and Methods Experts from government agencies, the private sector, and academia in genomic medicine and clinical informatics were invited to address the meeting's goals. Invitees were also asked to complete a survey to assess important considerations needed to develop a genomic-based clinical informatics research strategy. Results Outcomes from the meeting included identifying short-term research needs, such as designing and implementing standards-based interfaces between laboratory information systems and electronic health records, as well as long-term projects, such as identifying and addressing barriers related to the establishment and implementation of genomic data exchange systems that, in turn, the research community could help address. Discussion Discussions centered on identifying gaps and barriers that impede the use of GCIT in genomic medicine. Emergent themes from the meeting included developing an implementation science framework, defining a value proposition for all stakeholders, fostering engagement with patients and partners to develop applications under patient control, promoting the use of relevant clinical workflows in research, and lowering related barriers to regulatory processes. Another key theme was recognizing pervasive biases in data and information systems, algorithms, access, value, and knowledge repositories and identifying ways to resolve them.
Empowering genomic medicine by establishing critical sequencing result data flows: the eMERGE example
Aronson, Samuel , Babb, Lawrence , Ames, Darren C., Gibbs, Richard A. , Connelly, John, Marsolo, Keith , Hartzler, Andrea L. , Liang, Wayne H. , Ralston, James D. , Devine, Emily Beth , Murphy, Shawn N. , Freimuth, Robert R. , Rasmussen, Luke V. , Peterson, Josh F. , Robinson, Jamie R. , Wiley, Ken, Taylor, Casey Overby , Group, eMERGE Network EHRI Working, Caraballo, Pedro J. , Babb, Lawrence , Rasmussen, Luke V , Freimuth, Robert R , Venner, Eric , Weng, Chunhua , Williams, Marc S , Chute, Christopher G. , Kullo, Iftikhar J. , Wehbe, Firas , Group, eMERGE Network EHRI Working, Peterson, Josh F

Journal of the American Medical Informatics Association | April 19, 2018 | Volume: 25 | Issue: 10 | Pages: 1375-1381

10.1093/jamia/ocy051 Get It

AbstractThe eMERGE Network is establishing methods for electronic transmittal of patient genetic test results from laboratories to healthcare providers across organizational boundaries. We surveyed the capabilities and needs of different network participants, established a common transfer format, and implemented transfer mechanisms based on this format. The interfaces we created are examples of the connectivity that must be instantiated before electronic genetic and genomic clinical decision support can be effectively built at the point of care. This work serves as a case example for both standards bodies and other organizations working to build the infrastructure required to provide better electronic clinical decision support for clinicians.