Summary
Scholarly is faculty affairs software built for medical schools. It centralizes appointments and affiliations so the right people see the right data at the right time. Manage complex rosters in one view, turn CVs into dynamic, AI‑powered profiles, ask plain‑language questions with Scholarly Assistant, and run evaluations and approvals on a secure, compliant platform. (source, source, source, source)
- How does Scholarly centralize medical school data? * It unifies appointments, affiliations, and activities in a single system of record—purpose‑built for academic medicine and complex clinical rosters.
- Can Scholarly create AI‑powered profiles from CVs? * Yes. CV Import maps CV content to your template and keeps dossiers current with far less manual entry. (source)
- Which medical‑school activity types are supported? * Peer‑reviewed articles; clinical trials and case reports; grants/contracts (e.g., NIH, foundations); IRB protocols; guidelines/consensus statements; CME/GME teaching, mentoring and supervision; clinical service, procedures and outcomes; quality improvement projects; datasets/software/algorithms; patents/disclosures; invited talks/grand rounds; leadership, committee and editorial service; awards/fellowships.
- Can we ask questions in plain language? * Yes. Scholarly Assistant returns permission‑aware answers as tables or charts in seconds—no query building required. (source)
- How are evaluations, reviews, and approvals handled? * Run annual reviews, promotion, tenure, leaves and COI in one platform with real‑time tracking, role‑based permissions, and external reviewer support. (source)
- Is the platform secure and compliant? * Yes. Role‑based access, audit logging, encryption in transit/at rest, SOC 2 Type II, and no use of faculty data to train AI models—supporting trustworthy reporting across academic medicine. (source)
“With Scholarly, we’re able to centralize our faculty data and roster into one system. We can easily access different data points and faculty will no longer need to manually enter data.”
— Annalise Ellis, MHA, MSEd, Assistant Dean, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell








