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Showing 1681 - 1690 out of 9253
Image for Surgical and Procedural Informatics

Surgical and Procedural Informatics Working Group

The Surgical and Procedural Informatics Working Group serves as the academic home for professionals focused on informatics, idea exchange, and collaboration within surgical and procedural contexts.

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Visual Analytics Working Group

The mission is to promote the development and validation of new visual analytical techniques that can be used to address some of the fundamental data and informatics challenges evident in the healthcare domain

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Primary Care Informatics Working Group

The Primary Care Informatics Working Group's mission is to provide an environment for discussion of, education about, and research into primary-care informatics, for the benefit of AMIA members involved in or working with the practice, research, or teaching of primary-care disciplines.

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Women in AMIA Working Group

The Women in AMIA Initiative is a movement created by and for members. Women in AMIA is committed to informing and inspiring the informatics community toward action around opportunities for women in AMIA to improve health and healthcare.

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Natural Language Processing Working Group

The mission of the Natural Language Processing is to develop, apply, and promote natural language processing in biomedical science, patient care, public health and biomedical education.

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The American College of Medical Informatics

ACMI is a college of elected Fellows from the U.S. and abroad who have made significant and sustained contributions to the field of medical informatics. It is the central body for a community of scholars and practitioners who are committed to advancing the informatics field.

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Fellows of AMIA (FAMIA)

FAMIA stands for “Fellow of the American Medical Informatics Association” and it recognizes the contributions and professional accomplishments of AMIA members who apply informatics skills and knowledge to their practice – be that in a clinical setting, a public or population health capacity, or as a clinical researcher.

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Applied Clinical Informatics Article

Evaluation of ChatGPT, Gemini, and OpenEvidence in Obstetric and Gynecologic Clinical Decision Scenarios.

June 19, 2026

Background Clinicians frequently face questions that require rapid, evidence-based answers. Artificial intelligence (AI) tools are increasingly used for this purpose, yet their reliability for clinical decision-making remains uncertain. This study compared two generative large language model (LLM) systems (ChatGPT and Gemini) and a retrieval-supported clinical platform (OpenEvidence) to determine which provides the most reliable, clear, and clinically applicable information in obstetrics, gynecology, and urogynecology. Methods A cross-sectional comparative design was [...]

Author(s): Atay, Arif Onur, Atay, Feride, Ozmen, Samican, Balci, Mucahit Furkan

DOI: 10.1055/a-2899-0123

JAMIA Article

Role of electronic health record in stigma experiences, trust, and care decisions by women with history of pregnancy and substance use disorder: a qualitative study of perceptions of clinical note language.

June 19, 2026

Stigma impacts outcomes across stigmatizing conditions, including substance use disorders (SUDs). Recent policy changes give patients rapid access to clinical notes in the electronic health record (EHR), which may include stigmatizing language. The objective of this study was to assess the perspectives of women with history of pregnancy and SUDs on typical language used in clinical notes.

Author(s): Davis, Meghan E, Sharma, Mohit, Ancker, Jessica S, Pathak, Jyotishman, Sharko, Marianne

DOI: 10.1093/jamia/ocag096

JAMIA Article

OMOP common data model transformation: leveraging a nationwide.

June 19, 2026

To demonstrate a large-scale EHR data transformation to the Observational Medical Outcomes Partnership (OMOP) Common Data model in the OCHIN network to support AI/ML analyses within the AIM-AHEAD national research consortium. We highlight customized workflows and infrastructure development processes designed to support OCHIN database use by AI/ML researchers of varied academic backgrounds and skillsets.

Author(s): Haderlein, Taona P, Der-Martirosian, Claudia, Bensken, Wyatt P, Schuff, Robert

DOI: 10.1093/jamia/ocag087

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