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A Health Professional Mentorship Platform to Improve Equitable Access to Abortion: Development, Usability, and Content Evaluation

A Health Professional Mentorship Platform to Improve Equitable Access to Abortion: Development, Usability, and Content Evaluation

To provide culturally safe and gender-affirming abortion services, there is an urgent need to develop, evaluate, and implement training and mentorship resources that will equip health care professionals in providing equitable abortion services to underserved populations in Canada. In this paper, we reported on the processes we adopted in redesigning our already-established web-based community of practice platform into an open-access website.

Abdul-Fatawu Abdulai, Cam Duong, Eleni Stroulia, Efrat Czerniak, Rachel Chiu, Aashay Mehta, Ken Koike, Wendy V Norman

JMIR Hum Factors 2025;12:e63364

Evaluation of Telehealth Services that are Clinically Appropriate for Reimbursement in the US Medicaid Population: Mixed Methods Study

Evaluation of Telehealth Services that are Clinically Appropriate for Reimbursement in the US Medicaid Population: Mixed Methods Study

Continuing the existing telehealth flexibility offers an opportunity to maintain equitable access and simultaneously expand the evidence base through additional measurement and analyses. With this study, we have identified, on a code-by-code basis, the services that MMDs find clinically appropriate for reimbursement while further evidence is gathered and evaluated.

Sanjeev Saravanakumar, Andrey Ostrovsky

J Med Internet Res 2024;26:e46412

Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach

Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach

This study describes these activities with the intent to serve and inform the AIM-AHEAD community of stakeholders; external consortia, organizations, and communities that have goals similar to the AIM-AHEAD; and those interested in ethical and equitable AI and ML development and applications more broadly. The AIM-AHEAD EEWG was created in 2021 to guide the ethical and equitable development and implementation of AI and ML tools and processes broadly within the AIM-AHEAD.

Rachele Hendricks-Sturrup, Malaika Simmons, Shilo Anders, Kammarauche Aneni, Ellen Wright Clayton, Joseph Coco, Benjamin Collins, Elizabeth Heitman, Sajid Hussain, Karuna Joshi, Josh Lemieux, Laurie Lovett Novak, Daniel J Rubin, Anil Shanker, Talitha Washington, Gabriella Waters, Joyce Webb Harris, Rui Yin, Teresa Wagner, Zhijun Yin, Bradley Malin

JMIR AI 2023;2:e52888