Optimizing Digital Management of Research and Collaboration With Academic Information Manager
Using AIM, we observed a significant increase in efficacy and efficiency, along with a decreased mental workload, as measured by NASA-TLX, and improved usability scores. Implementing AIM will help new investigators quickly and intuitively identify ongoing research at our institution. It will also enable them to broadcast their research interests to find potential collaborators.
Authors
- Vitali Fedosov
- Hugo Botha
- Ing Tiong (ORCID: https://orcid.org/0000-0002-1094-7762)
- Chady Meroueh (ORCID: https://orcid.org/0000-0003-2352-4336)
- Peyman Nejat (ORCID: https://orcid.org/0000-0001-9223-7942)
- David Bolonio (ORCID: https://orcid.org/0000-0002-9166-1861)
- Vitaly Herasevich (ORCID: https://orcid.org/0000-0002-0214-0651)
- Svetlana Herasevich (ORCID: https://orcid.org/0000-0003-0525-9364)
- Brian W. Pickering (ORCID: https://orcid.org/0000-0002-8307-8449)
Institutions
- Mayo Clinic (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Mayo Clinic Proceedings Digital Health
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1016/j.mcpdig.2025.100222
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Center for Advancing Translational Sciences