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Stead WW, Miller RA, Ohno-Machado L, Bakken S. JAMIA at 30: looking back and forward. J Am Med Inform Assoc 2023; 31:1-9. [PMID: 38134400 PMCID: PMC10746314 DOI: 10.1093/jamia/ocad215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 10/30/2023] [Indexed: 12/24/2023] Open
Affiliation(s)
- William W Stead
- Department of Biomedical Informatics, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States
| | - Randolph A Miller
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Alexandria, VA 37232, United States
| | - Lucila Ohno-Machado
- Section of Biomedical Informatics & Data Science, Yale University School of Medicine, New Haven, CT 06520, United States
| | - Suzanne Bakken
- School of Nursing, Department of Biomedical Informatics, Data Science Institute, Columbia University, New York, NY 10032, United States
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2
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You JG, Samal L, Leung TI, Dharod A, Zhang HM, Kaelber DC, Mishuris RG. A Call to Support Informatics Curricula in U.S.-Based Residency Education. Appl Clin Inform 2023; 14:992-995. [PMID: 37879358 PMCID: PMC10733056 DOI: 10.1055/a-2198-7788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 10/23/2023] [Indexed: 10/27/2023] Open
Affiliation(s)
- Jacqueline G. You
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, United States
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States
| | - Lipika Samal
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States
| | - Tiffany I. Leung
- Department of Internal Medicine (adjunct), Southern Illinois University School of Medicine, Springfield, Illinois, United States
- Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
| | - Ajay Dharod
- Department of Internal Medicine, Wake Forest School of Medicine, Informatics and Analytics, Winston Salem, North Carolina, United States
- Department of Internal Medicine, Wake Forest School of Medicine, Section on General Internal Medicine, Winston Salem, North Carolina, United States
| | - Haipeng M. Zhang
- Department of Psychosocial Oncology and Palliative Care, Division of Adult Palliative Care, Dana-Farber Cancer Institute, Boston, Massachusetts, United States
| | - David C. Kaelber
- Department of Internal Medicine, Pediatrics and Population, and Quantitative Health Sciences, The Center for Clinical Informatics Research and Education, MetroHealth System, Case Western Reserve University, Cleveland, Ohio, United States
| | - Rebecca G. Mishuris
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States
- Digital, Mass General Brigham, Somerville, Massachusetts, United States
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3
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Sano T, Sampad MJN, Gonzalez-Ferrer J, Hernandez S, Vera-Choqqueccota S, Vargas PA, Urcuyo R, Duran NM, Teodorescu M, Haussler D, Schmidt H, Mostajo-Radji MA. Open-loop lab-on-a-chip technology enables remote computer science training in Latinx life sciences students. bioRxiv 2023:2023.04.28.538776. [PMID: 37205466 PMCID: PMC10187215 DOI: 10.1101/2023.04.28.538776] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Despite many interventions, science education remains highly inequitable throughout the world. Among all life sciences fields, Bioinformatics and Computational Biology suffer from the strongest underrepresentation of racial and gender minorities. Internet-enabled project-based learning (PBL) has the potential to reach underserved communities and increase the diversity of the scientific workforce. Here, we demonstrate the use of lab-on-a-chip (LoC) technologies to train Latinx life science undergraduate students in concepts of computer programming by taking advantage of open-loop cloud-integrated LoCs. We developed a context-aware curriculum to train students at over 8,000 km from the experimental site. We showed that this approach was sufficient to develop programming skills and increase the interest of students in continuing careers in Bioinformatics. Altogether, we conclude that LoC-based Internet-enabled PBL can become a powerful tool to train Latinx students and increase the diversity in STEM.
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Affiliation(s)
- Tyler Sano
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064
| | | | - Jesus Gonzalez-Ferrer
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, 95060
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95060
- Live Cell Biotechnology Discovery Lab, University of California Santa Cruz, Santa Cruz, CA, 95060
| | - Sebastian Hernandez
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95060
- Live Cell Biotechnology Discovery Lab, University of California Santa Cruz, Santa Cruz, CA, 95060
- Centro de Electroquímica y Energía Química (CELEQ), Universidad de Costa Rica, San José, 11501 2060, Costa Rica
| | - Samira Vera-Choqqueccota
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, 95060
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95060
- Live Cell Biotechnology Discovery Lab, University of California Santa Cruz, Santa Cruz, CA, 95060
| | - Paola A Vargas
- Biotechnology, Universidad Católica Boliviana San Pablo, Santa Cruz de la Sierra, Bolivia
| | - Roberto Urcuyo
- Centro de Electroquímica y Energía Química (CELEQ), Universidad de Costa Rica, San José, 11501 2060, Costa Rica
| | | | - Mircea Teodorescu
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, 95060
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95060
- Live Cell Biotechnology Discovery Lab, University of California Santa Cruz, Santa Cruz, CA, 95060
| | - David Haussler
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, 95060
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95060
- Live Cell Biotechnology Discovery Lab, University of California Santa Cruz, Santa Cruz, CA, 95060
| | - Holger Schmidt
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064
| | - Mohammed A Mostajo-Radji
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95060
- Live Cell Biotechnology Discovery Lab, University of California Santa Cruz, Santa Cruz, CA, 95060
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Awad CS, Deng Y, Kwagyan J, Roche-Lima A, Tchounwou PB, Wang Q, Idris MY. Summary of Year-One Effort of the RCMI Consortium to Enhance Research Capacity and Diversity with Data Science. Int J Environ Res Public Health 2022; 20:279. [PMID: 36612607 PMCID: PMC9819075 DOI: 10.3390/ijerph20010279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/22/2022] [Accepted: 12/02/2022] [Indexed: 05/23/2023]
Abstract
Despite being disproportionately impacted by health disparities, Black, Hispanic, Indigenous, and other underrepresented populations account for a significant minority of graduates in biomedical data science-related disciplines. Given their commitment to educating underrepresented students and trainees, minority serving institutions (MSIs) can play a significant role in enhancing diversity in the biomedical data science workforce. Little has been published about the reach, curricular breadth, and best practices for delivering these data science training programs. The purpose of this paper is to summarize six Research Centers in Minority Institutions (RCMIs) awarded funding from the National Institute of Minority Health Disparities (NIMHD) to develop new data science training programs. A cross-sectional survey was conducted to better understand the demographics of learners served, curricular topics covered, methods of instruction and assessment, challenges, and recommendations by program directors. Programs demonstrated overall success in reach and curricular diversity, serving a broad range of students and faculty, while also covering a broad range of topics. The main challenges highlighted were a lack of resources and infrastructure and teaching learners with varying levels of experience and knowledge. Further investments in MSIs are needed to sustain training efforts and develop pathways for diversifying the biomedical data science workforce.
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Affiliation(s)
- Christopher S. Awad
- Department of Medicine, Emory University School of Medicine, 100 Woodruff Circle, Atlanta, GA 30322, USA
- Department of Medicine, Clinical Research Center, Morehouse School of Medicine, 720 Westview Dr SW, Atlanta, GA 30310, USA
| | - Youping Deng
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI 96813, USA
| | - John Kwagyan
- Department of Community Health and Family Medicine, Howard University College of Medicine, 520 W St, Washington, DC 20059, USA
| | - Abiel Roche-Lima
- Department of Bioinformatics, Medical Science Campus, University of Puerto Rico, CCHRD-RCMI, P.O. Box 365067, San Juan, PR 00936, USA
| | - Paul B. Tchounwou
- Department of Biology, Jackson State University, 1400 J R Lynch Street, Jackson, MS 39217, USA
| | - Qingguo Wang
- Department of Computer Science & Data Science, School of Applied Computational Sciences, Meharry Medical College, 1005 Dr. D.B. Todd Jr. Blvd., Nashville, TN 37208, USA
| | - Muhammed Y. Idris
- Department of Medicine, Clinical Research Center, Morehouse School of Medicine, 720 Westview Dr SW, Atlanta, GA 30310, USA
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Genomic Data Science Community Network. Diversifying the genomic data science research community. Genome Res 2022; 32:1231-41. [PMID: 35858750 DOI: 10.1101/gr.276496.121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 06/02/2022] [Indexed: 11/25/2022]
Abstract
Over the past 20 years, the explosion of genomic data collection and the cloud computing revolution have made computational and data science research accessible to anyone with a web browser and an internet connection. However, students at institutions with limited resources have received relatively little exposure to curricula or professional development opportunities that lead to careers in genomic data science. To broaden participation in genomics research, the scientific community needs to support these programs in local education and research at underserved institutions (UIs). These include community colleges, historically Black colleges and universities, Hispanic-serving institutions, and tribal colleges and universities that support ethnically, racially, and socioeconomically underrepresented students in the United States. We have formed the Genomic Data Science Community Network to support students, faculty, and their networks to identify opportunities and broaden access to genomic data science. These opportunities include expanding access to infrastructure and data, providing UI faculty development opportunities, strengthening collaborations among faculty, recognizing UI teaching and research excellence, fostering student awareness, developing modular and open-source resources, expanding course-based undergraduate research experiences (CUREs), building curriculum, supporting student professional development and research, and removing financial barriers through funding programs and collaborator support.
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Backonja U, Langford LH, Mook PJ. How to Support the Nursing Informatics Leadership Pipeline: Recommendations for Nurse Leaders and Professional Organizations. Comput Inform Nurs 2022; 40:8-20. [PMID: 34996883 DOI: 10.1097/cin.0000000000000827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
There is a need for nursing informatics leaders. However, there are not enough people educated and trained in informatics and leadership to fill that need. Therefore, the purpose of this study was to understand how professional organizations and nurse leaders support nursing informatics leadership development. This cross-sectional, descriptive study collected data via a scan of Web sites for eight nursing, informatics, and/or leadership professional organizations; interviews and surveys with nursing informatics leaders within the eight organizations; and a review of Web site, interview, and survey findings by nursing informatics leaders involved in leadership development. We found that nursing informatics leaders and professional organizations can support the nursing informatics leadership pipeline several ways. Examples included mentoring, education/training, and providing opportunities for networking and engagement in leadership roles. To help meet the need for nursing informatics leaders, professional organizations and current leaders can engage in various activities that provide training, education, and experiences for emerging leaders.
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Affiliation(s)
- Uba Backonja
- Author Affiliations: School of Nursing & Healthcare Leadership, University of Washington Tacoma (Dr Backonja); Department of Biomedical Informatics & Medical Education, University of Washington School of Medicine (Dr Backonja), Seattle; Intermountain Healthcare (Dr Langford), Salt Lake City, UT; Nursing Informatics, College of Nursing, University of Utah (Dr Langford), Salt Lake City; and Atrium Health (Ms Mook), Charlotte, NC
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7
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Bright TJ, Williams KS, Rajamani S, Tiase VL, Senathirajah Y, Hebert C, McCoy AB. Making the case for workforce diversity in biomedical informatics to help achieve equity-centered care: a look at the AMIA First Look Program. J Am Med Inform Assoc 2021; 29:171-175. [PMID: 34963144 PMCID: PMC8714276 DOI: 10.1093/jamia/ocab246] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 10/04/2021] [Accepted: 10/27/2021] [Indexed: 11/12/2022] Open
Abstract
Developing a diverse informatics workforce broadens the research agenda and ensures the growth of innovative solutions that enable equity-centered care. The American Medical Informatics Association (AMIA) established the AMIA First Look Program in 2017 to address workforce disparities among women, including those from marginalized communities. The program exposes women to informatics, furnishes mentors, and provides career resources. In 4 years, the program has introduced 87 undergraduate women, 41% members of marginalized communities, to informatics. Participants from the 2019 and 2020 cohorts reported interest in pursuing a career in informatics increased from 57% to 86% after participation, and 86% of both years' attendees responded that they would recommend the program to others. A June 2021 LinkedIn profile review found 50% of participants working in computer science or informatics, 4% pursuing informatics graduate degrees, and 32% having completed informatics internships, suggesting AMIA First Look has the potential to increase informatics diversity.
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Affiliation(s)
- Tiffani J Bright
- Center for AI, Research, and Evaluation, IBM Watson Health, Cambridge, Massachusetts, USA
| | - Karmen S Williams
- Departments of Epidemiology and Biostatistics and Health Policy and Management, Graduate School of Public Health and Policy, City University of New York, New York, New York, USA
| | - Sripriya Rajamani
- Institute for Health Informatics, Office of Academic Clinical Affairs, University of Minnesota, Minneapolis, Minnesota, USA
| | - Victoria L Tiase
- Value Institute, NewYork-Presbyterian Hospital, New York, New York, USA
| | - Yalini Senathirajah
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Courtney Hebert
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Allison B McCoy
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Griffin AC, Leung TI, Tenenbaum JD, Chung AE. Gender representation in U.S. biomedical informatics leadership and recognition. J Am Med Inform Assoc 2021; 28:1270-1274. [PMID: 33555005 DOI: 10.1093/jamia/ocaa344] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 11/25/2020] [Accepted: 01/25/2021] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVE This study sought to describe gender representation in leadership and recognition within the U.S. biomedical informatics community. MATERIALS AND METHODS Data were collected from public websites or provided by American Medical Informatics Association (AMIA) personnel from 2017 to 2019, including gender of membership, directors of academic informatics programs, clinical informatics subspecialty fellowships, AMIA leadership (2014-2019), and AMIA awardees (1993-2019). Differences in gender proportions were calculated using chi-square tests. RESULTS Men were more often in leadership positions and award recipients (P < .01). Men led 74.7% (n = 71 of 95) of academic informatics programs and 83.3% (n = 35 of 42) of clinical informatics fellowships. Within AMIA, men held 56.8% (n = 1086 of 1913) of leadership roles and received 64.1% (n = 59 of 92) of awards. DISCUSSION As in other STEM fields, leadership and recognition in biomedical informatics is lower for women. CONCLUSIONS Quantifying gender inequity should inform data-driven strategies to foster diversity and inclusion. Standardized collection and surveillance of demographic data within biomedical informatics is necessary.
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Affiliation(s)
- Ashley C Griffin
- Carolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Tiffany I Leung
- Faculty of Health, Medicine, and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Jessica D Tenenbaum
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA
| | - Arlene E Chung
- Carolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Division of General Medicine and Clinical Epidemiology, Department of Medicine, UNC School of Medicine, Chapel Hill, North Carolina, USA.,Division of General Pediatrics and Adolescent Medicine, Department of Pediatrics, UNC School of Medicine, Chapel Hill, North Carolina, USA.,Program on Health and Clinical Informatics, UNC School of Medicine, Chapel Hill, North Carolina, USA
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Bakken S. Toward diversity, equity, and inclusion in informatics, health care, and society. J Am Med Inform Assoc 2020; 27:1639-1640. [PMID: 33202019 PMCID: PMC7671629 DOI: 10.1093/jamia/ocaa265] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 10/07/2020] [Indexed: 11/12/2022] Open
Affiliation(s)
- Suzanne Bakken
- Department of Biomedical Informatics, School of Nursing, Data Science Institute Columbia University, New York, New York, USA
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