UCSF Automates Conflict of Interest Management

The University of California, San Francisco, which is dedicated exclusively to the health sciences, will automate its conflict of interest disclosure process to comply with new National Institute of Health (NIH) COI disclosure regulations. The university has selected COI-Smart from Health Care Compliance Strategies (HCCS) to track, manage, and report on COI disclosures for its 5,000 faculty members, post-docs, and fellows.

The university needed a system that could meet the NIH's requirements for public health service (PHS) grants and contracts, according to information released by HCCS, and COI-Smart fit the bill with its quick-start option to help organizations ensure they are in compliance with the NIH COI regulations for PHS funded research.

"With a large number of users involved in many research projects, it was imperative to have a flexible system that could be implemented quickly and would make the disclosure process straightforward and easy for our research investigators and administrators alike," said Eric Mah, senior director of research for UCSF, in a prepared statement.

With COI-Smart, UCSF will also be able to eliminate paper-based COI disclosure management and have the option of conducting annual COI surveys, as well as transactional or "elective" questionnaires. The university can also use COI-Smart to create branching questionnaires, automatically assign reviewers, develop COI management plans, and view a graphical representation of the status of the COI disclosure process through administrative dashboards.

The University of California, San Francisco offers programs in medicine, nursing, dentistry, and pharmacy. It serves approximately 3,000 students, 1,600 residents (physicians, dentists, and pharmacists in training), and 1,000 postdoctoral scholars and employs 2,400 faculty members.

Further information about COI-Smart is available on the HCCS site.

About the Author

Leila Meyer is a technology writer based in British Columbia. She can be reached at [email protected].

Featured

  • large group of college students sitting on an academic quad

    Student Readiness: Learning to Learn

    Melissa Loble, Instructure's chief academic officer, recommends a focus on 'readiness' as a broader concept as we try to understand how to build meaningful education experiences that can form a bridge from the university to the workplace. Here, we ask Loble what readiness is and how to offer students the ability to 'learn to learn'.

  • robots organizing stacks of papers

    An AI Adoption Imperative: Centralized Sources of Governed Truth

    Strategies for enterprise teams who aim to build a data foundation to move the institution from AI experimentation to real-world execution.

  • SXSW EDU

    SXSW EDU 2026: Discover How to Incorporate Technology with Impact

    With the proliferation of AI and advanced technology, education leaders have an opportunity to find and implement the right solutions to make a difference for learners. This March 9-12, SXSW EDU 2026 is your chance to discover innovative edtech, connect with trailblazing peers, and find strategies that make an impact.

  • futuristic representation of interconnected individuals within a digital network

    OpenAI Launches Safety Fellowship to Fund External AI Research

    OpenAI is expanding safety efforts beyond its walls with a new Safety Fellowship that will fund external researchers to study AI risks.