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Rajamani S, Odowa Y, Jantraporn R, Austin R. A Population Health Informatics Workshop for Promoting Team Science Between Public Health and Nursing Informatics and Increasing Conference Participant Diversity. Comput Inform Nurs 2024; 42:89-93. [PMID: 38206163 DOI: 10.1097/cin.0000000000001099] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2024]
Affiliation(s)
- Sripriya Rajamani
- School of Nursing (Drs Rajamani and Austin, and Ms Jantraporn) and School of Public Health (Ms Odowa), University of Minnesota
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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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Platt J, Nong P, Merid B, Raj M, Cope E, Kardia S, Creary M. Applying anti-racist approaches to informatics: a new lens on traditional frames. J Am Med Inform Assoc 2023; 30:1747-1753. [PMID: 37403330 PMCID: PMC10531112 DOI: 10.1093/jamia/ocad123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 05/22/2023] [Accepted: 06/28/2023] [Indexed: 07/06/2023] Open
Abstract
Health organizations and systems rely on increasingly sophisticated informatics infrastructure. Without anti-racist expertise, the field risks reifying and entrenching racism in information systems. We consider ways the informatics field can recognize institutional, systemic, and structural racism and propose the use of the Public Health Critical Race Praxis (PHCRP) to mitigate and dismantle racism in digital forms. We enumerate guiding questions for stakeholders along with a PHCRP-Informatics framework. By focusing on (1) critical self-reflection, (2) following the expertise of well-established scholars of racism, (3) centering the voices of affected individuals and communities, and (4) critically evaluating practice resulting from informatics systems, stakeholders can work to minimize the impacts of racism. Informatics, informed and guided by this proposed framework, will help realize the vision of health systems that are more fair, just, and equitable.
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Affiliation(s)
- Jodyn Platt
- Department of Learning Health Sciences, University of Michigan Medical School, 300 North Ingalls, Suite 1161, Ann Arbor, Michigan, USA
| | - Paige Nong
- Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Beza Merid
- School for the Future of Innovation in Society, Arizona State University, Tempe, Arizona, USA
| | - Minakshi Raj
- Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana Champaign, Champaign, Illinois, USA
| | | | - Sharon Kardia
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Melissa Creary
- Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
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Emani S, Rodriguez JA, Bates DW. Racism and Electronic Health Records (EHRs): Perspectives for research and practice. J Am Med Inform Assoc 2023; 30:995-999. [PMID: 36869772 PMCID: PMC10114075 DOI: 10.1093/jamia/ocad023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 01/17/2023] [Accepted: 02/19/2023] [Indexed: 03/05/2023] Open
Abstract
Informatics researchers and practitioners have started exploring racism related to the implementation and use of electronic health records (EHRs). While this work has begun to expose structural racism which is a fundamental driver of racial and ethnic disparities, there is a lack of inclusion of concepts of racism in this work. This perspective provides a classification of racism at 3 levels-individual, organizational, and structural-and offers recommendations for future research, practice, and policy. Our recommendations include the need to capture and use structural measures of social determinants of health to address structural racism, intersectionality as a theoretical framework for research, structural competency training, research on the role of prejudice and stereotyping in stigmatizing documentation in EHRs, and actions to increase the diversity of private sector informatics workforce and participation of minority scholars in specialty groups. Informaticians have an ethical and moral obligation to address racism, and private and public sector organizations have a transformative role in addressing equity and racism associated with EHR implementation and use.
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Affiliation(s)
- Srinivas Emani
- Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham & Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Behavioral, Social, and Health Education Sciences, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Jorge A Rodriguez
- Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham & Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - David W Bates
- Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham & Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Chen AT, Backonja U, Cato K. Integrating health disparities content into health informatics courses: a cross-sectional survey study and recommendations. JAMIA Open 2023; 6:ooac101. [PMID: 36950472 PMCID: PMC10027111 DOI: 10.1093/jamiaopen/ooac101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 12/20/2021] [Revised: 10/15/2022] [Accepted: 11/16/2022] [Indexed: 03/22/2023] Open
Abstract
Objective To assess the extent to which health disparities content is integrated in multidisciplinary health informatics training programs and examine instructor perspectives surrounding teaching strategies and challenges, including student engagement with course material. Materials and Methods Data for this cross-sectional, descriptive study were collected between April and October 2019. Instructors of informatics courses taught in the United States were recruited via listservs and email. Eligibility was contingent on course inclusion of disparities content. Participants completed an online survey with open- and closed-ended questions to capture administrative- and teaching-related aspects of disparities education within informatics. Quantitative data were analyzed using descriptive statistics; qualitative data were analyzed using inductive coding. Results Invitations were sent to 141 individuals and 11 listservs. We obtained data from 23 instructors about 24 informatics courses containing health disparities content. Courses were taught primarily in graduate-level programs (n = 21, 87.5%) in informatics (n = 9, 33.3%), nursing (n = 7, 25.9%), and information science (n = 6, 22.2%). The average course covered 6.5 (range 2-13) social determinants of health; socioeconomic status and race/ethnicity (both n = 21, 87.5%) were most frequently addressed. Instructors described multiple obstacles, including lack of resources and time to cover disparities topics adequately, topic sensitivity, and student-related challenges (eg, lack of prior understanding about disparities). Discussion A foundational and translational knowledge in health disparities is critical to a student's ability to develop future equitable informatics solutions. Based on our findings, we provide recommendations for the intentional and required integration of health disparities-specific content in informatics curricula and competencies.
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Affiliation(s)
| | - Uba Backonja
- Corresponding Author: Uba Backonja, PhD, MS, RN, Department of Biomedical Informatics and Medical Education, University of Washington School of Medicine, 850 Republican Street, Building C, Box 358047, Seattle, WA 98109-4714, USA;
| | - Kenrick Cato
- Department of Nursing & Clinical Care Services, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA
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de Hond AAH, van Buchem MM, Hernandez-Boussard T. Picture a data scientist: a call to action for increasing diversity, equity, and inclusion in the age of AI. J Am Med Inform Assoc 2022; 29:2178-2181. [PMID: 36048021 PMCID: PMC9667164 DOI: 10.1093/jamia/ocac156] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 08/18/2022] [Accepted: 08/26/2022] [Indexed: 11/13/2022] Open
Abstract
The lack of diversity, equity, and inclusion continues to hamper the artificial intelligence (AI) field and is especially problematic for healthcare applications. In this article, we expand on the need for diversity, equity, and inclusion, specifically focusing on the composition of AI teams. We call to action leaders at all levels to make team inclusivity and diversity the centerpieces of AI development, not the afterthought. These recommendations take into consideration mitigation at several levels, including outreach programs at the local level, diversity statements at the academic level, and regulatory steps at the federal level.
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Affiliation(s)
- Anne A H de Hond
- Clinical AI Implementation and Research Lab, Leiden University Medical Center, Leiden, The Netherlands
- Department of Medicine (Biomedical Informatics), Stanford University, Stanford, California, USA
| | - Marieke M van Buchem
- Clinical AI Implementation and Research Lab, Leiden University Medical Center, Leiden, The Netherlands
- Department of Medicine (Biomedical Informatics), Stanford University, Stanford, California, USA
| | - Tina Hernandez-Boussard
- Department of Medicine (Biomedical Informatics), Stanford University, Stanford, California, USA
- Department of Biomedical Data Science, Stanford University, Stanford, California, USA
- Department of Epidemiology & Population Health (By Courtesy), Stanford University, Stanford, California, USA
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Mendonca EA, Richesson RL, Hochheiser H, Cooper DM, Bruck MN, Berner ES. Informatics education for translational research teams: An unrealized opportunity to strengthen the national research infrastructure. J Clin Transl Sci 2022; 6:e130. [PMID: 36590353 PMCID: PMC9794970 DOI: 10.1017/cts.2022.481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 10/04/2022] [Accepted: 10/04/2022] [Indexed: 12/28/2022] Open
Abstract
Objective To identify the informatics educational needs of clinical and translational research professionals whose primary focus is not informatics. Introduction Informatics and data science skills are essential for the full spectrum of translational research, and an increased understanding of informatics issues on the part of translational researchers can alleviate the demand for informaticians and enable more productive collaborations when informaticians are involved. Identifying the level of interest in different topics among various types of of translational researchers will help set priorities for development and dissemination of informatics education. Methods We surveyed clinical and translational science researchers in Clinical and Translational Science Award (CTSA) programs about their educational needs and preferences. Results Researchers from 23 out of the 62 CTSA hubs responded to the survey. 67% of respondents across roles and topics expressed interest in learning about informatics topics. There was high interest in all 30 topics included in the survey, with some variation in interest depending on the role of the respondents. Discussion Our data support the need to advance training in clinical and biomedical informatics. As the complexity and use of information technology and data science in research studies grows, informaticians will continue to be a limited resource for research collaboration, education, and training. An increased understanding of informatics issues across translational research teams can alleviate this burden and allow for more productive collaborations. To inform a roadmap for informatics education for research professionals, we suggest strategies to use the results of this needs assessment to develop future informatics education.
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Affiliation(s)
- Eneida A. Mendonca
- Indiana University/Regenstrief Institute, Indianapolis, IN, USA
- Cincinnati Children’s Hospital and University of Cincinnati, Cincinnati, OH, USA
| | | | | | | | - Meg N. Bruck
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - Eta S. Berner
- University of Alabama at Birmingham, Birmingham, AL, USA
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