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Mendonça, Eneida A.

https://orcid.org/0000-0003-4297-9221

Mayo Clinic

Cincinnati Children's Hospital Medical Center

Citations 3

Asthma innovations from the second International Collaborative Asthma Network (ICAN) forum
Jarjour, Nizar N. , Winders, Tonya , Hansen, Ann M., Durrington, Hannah , Fowler, Stephen J. , Gaston, Benjamin , Mendonça, Eneida A. , Zein, Joe , Fahy, John V. , Mendonca, Eneida A , Akuthota, Praveen , Chung, Kian Fan , Siddiqui, Salman , Walker, Samantha M , Djukanović, Ratko

Journal of Asthma | September 11, 2024 | Volume: 62 | Issue: 2 | Pages: 185-188

10.1080/02770903.2024.2403011 Get It

Training the next generation of learning health system scientists
Lozano, Paula , Lane‐Fall, Meghan B. , Franklin, Patricia D. , Rothman, Russell L. , Gonzales, Ralph , Ong, Michael , Gould, Michael K. , Beebe, Timothy J. , Roumie, Christianne L. , Mendonça, Eneida A. , Starrels, Joanna L. , Sarkar, Urmimala , Savitz, Lucy A., Moon, JeanHee, Ralston, James D. , Chesley, Francis D. , Lozano, Paula M , Enders, Felicity T, Guise, Jeanne‐Marie , Enders, Felicity , Forrest, Christopher B. , Linzer, Mark

Learning Health Systems | September 10, 2022 | Volume: 6 | Issue: 4 | Pages: No page available

10.1002/lrh2.10342 Get It

AbstractIntroductionThe learning health system (LHS) aligns science, informatics, incentives, stakeholders, and culture for continuous improvement and innovation. The Agency for Healthcare Research and Quality and the Patient‐Centered Outcomes Research Institute designed a K12 initiative to grow the number of LHS scientists. We describe approaches developed by 11 funded centers of excellence (COEs) to promote partnerships between scholars and health system leaders and to provide mentored research training.MethodsSince 2018, the COEs have enlisted faculty, secured institutional resources, partnered with health systems, developed and implemented curricula, recruited scholars, and provided mentored training. Program directors for each COE provided descriptive data on program context, scholar characteristics, stakeholder engagement, scholar experiences with health system partnerships, roles following program completion, and key training challenges.ResultsTo date, the 11 COEs have partnered with health systems to train 110 scholars. Nine (82%) programs partner with a Veterans Affairs health system and 9 (82%) partner with safety net providers. Clinically trained scholars (n = 87; 79%) include 70 physicians and 17 scholars in other clinical disciplines. Non‐clinicians (n = 29; 26%) represent diverse fields, dominated by population health sciences. Stakeholder engagement helps scholars understand health system and patient/family needs and priorities, enabling opportunities to conduct embedded research, improve outcomes, and grow skills in translating research methods and findings into practice. Challenges include supporting scholars through roadblocks that threaten to derail projects during their limited program time, ranging from delays in access to data to COVID‐19‐related impediments and shifts in organizational priorities.ConclusionsFour years into this novel training program, there is evidence of scholars' accomplishments, both in traditional academic terms and in terms of moving along career trajectories that hold the potential to lead and accelerate transformational health system change. Future LHS training efforts should focus on sustainability, including organizational support for scholar activities.
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.