Winnow

About Winnow

Winnow provides an AI-driven platform that continuously mines public data to surface and evaluate both active and passive physician candidates. Machine learning assesses fit and flight risk based on professional history and patient-care metrics, streamlining sourcing and improving retention for healthcare organizations.

<problem>Healthcare organizations struggle to fill physician positions quickly and cost‑effectively because traditional recruiting relies on limited active‑job‑seeker data and lacks insight into passive candidates, leading to long hiring cycles, high turnover, and increased operational costs.</problem> <solution>WinnowHealth provides an AI‑driven platform that expands the candidate pool by continuously mining publicly available professional data to surface both active and passive physicians. Machine‑learning models evaluate work history, specialty, geographic mobility, and patient‑care metrics to predict candidate fit and potential flight risk. The system also maps internal referral networks, enabling existing physicians to recommend vetted leads. Custom dashboards give medical leaders real‑time visibility into pipelines and retention risks, while integrations with existing ATS workflows streamline the hiring process from sourcing to offer.</solution> <features> - AI‑powered sourcing that identifies active and passive physician candidates from extensive public datasets - Predictive analytics that assess candidate‑role fit and estimate likelihood of future turnover - Referral‑network mapping that highlights internal physicians who can vouch for candidates - Continuous data ingestion to keep candidate profiles up‑to‑date - Interactive dashboards for tracking pipeline health, referral activity, and retention indicators - Seamless integration with existing recruitment and HR systems - Role‑specific AI matching that aligns candidate expertise with vacancy requirements </features> <target_audience>WinnowHealth targets medical leaders, physician recruiters, and healthcare organizations that need to accelerate physician hiring and improve retention.</target_audience> <traction>In 2023, Aya Healthcare acquired Winnow AI, confirming market traction and expanding the platform’s reach within the U.S. healthcare staffing sector.</traction> <sources> - https://www.winnowhealth.ai/blog/how-medical-leaders-activate-physician-referrals-ai/ - https://winnowhealth.ai/about/ - https://winnowhealth.ai/core/ - https://winnowhealth.ai/blog/ - https://winnowhealth.ai/ - https://winnowhealth.ai/blog/aya-healthcare-acquires-winnow-ai-a-data-science-driven-platform-to-recruit-passive-physicians/ </sources>

What does Winnow do?

Winnow provides an AI-driven platform that continuously mines public data to surface and evaluate both active and passive physician candidates. Machine learning assesses fit and flight risk based on professional history and patient-care metrics, streamlining sourcing and improving retention for healthcare organizations.

Where is Winnow located?

Winnow is based in Nashville, TN,US.

When was Winnow founded?

Winnow was founded in 2021.

Location
Nashville, TN,US
Founded
2021
Employees
6 employees

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Winnow

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Executive Summary

Winnow provides an AI-driven platform that continuously mines public data to surface and evaluate both active and passive physician candidates. Machine learning assesses fit and flight risk based on professional history and patient-care metrics, streamlining sourcing and improving retention for healthcare organizations.

winnowhealth.ai700+
Founded 2021Nashville, TN,US

Funding

No funding information available.

Team (5+)

No team information available.

Company Description

Problem

Healthcare organizations struggle to fill physician positions quickly and cost‑effectively because traditional recruiting relies on limited active‑job‑seeker data and lacks insight into passive candidates, leading to long hiring cycles, high turnover, and increased operational costs.

Solution

WinnowHealth provides an AI‑driven platform that expands the candidate pool by continuously mining publicly available professional data to surface both active and passive physicians. Machine‑learning models evaluate work history, specialty, geographic mobility, and patient‑care metrics to predict candidate fit and potential flight risk. The system also maps internal referral networks, enabling existing physicians to recommend vetted leads. Custom dashboards give medical leaders real‑time visibility into pipelines and retention risks, while integrations with existing ATS workflows streamline the hiring process from sourcing to offer.

Features

AI‑powered sourcing that identifies active and passive physician candidates from extensive public datasets

Predictive analytics that assess candidate‑role fit and estimate likelihood of future turnover

Referral‑network mapping that highlights internal physicians who can vouch for candidates

Continuous data ingestion to keep candidate profiles up‑to‑date

Interactive dashboards for tracking pipeline health, referral activity, and retention indicators

Seamless integration with existing recruitment and HR systems

Role‑specific AI matching that aligns candidate expertise with vacancy requirements

Target Audience

WinnowHealth targets medical leaders, physician recruiters, and healthcare organizations that need to accelerate physician hiring and improve retention.

Traction

In 2023, Aya Healthcare acquired Winnow AI, confirming market traction and expanding the platform’s reach within the U.S. healthcare staffing sector.

Sources:
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