eIVF Launches New QA/QC Embryology Dashboard
The cloud-native tool aims to streamline data analytics for fertility clinics.
Updated on Oct. 21, 2026 in Healthcare

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Irving-based eIVF has released its new QA/QC Embryology Dashboard to help fertility practices explore embryology metrics and identify trends. The tool is designed to reduce the time staff members spend on manual data entry.
Why it matters
By automating data collection, eIVF seeks to improve clinic efficiency and simplify workflows across its extensive network of fertility providers. This release is part of a larger push to integrate advanced digital solutions into the fertility medical records sector.
eIVF currently supports over 125 fertility practices globally and has powered more than one million fertility treatment cycles since its inception.
The players
eIVF
Headquartered in Irving, this company provides specialized electronic medical records software for the global fertility industry.
Atlantic Street Capital
This private equity firm serves as the parent organization and backer for the eIVF portfolio company.
The details
The new cloud-native dashboard allows users to gain insights into complex embryology metrics. Additionally, the company continues to deploy its eVA Scribe tool, which performs real-time transcription of consultations to automate patient chart updates.
Timeline
eIVF launched its platform in 2002.
The company published this product announcement on October 21, 2026.
Market Landscape
The introduction of the QA/QC Embryology Dashboard follows the launch of eVA Scribe, representing an industry-wide pivot toward automated administrative tools in specialized fertility care. This development helps eIVF maintain its competitive edge against legacy digital charting providers.
Fertility clinic staff members can expect reduced manual workloads as the new dashboard automates data exploration and trending. These administrative improvements are intended to allow clinicians to spend more time on patient care rather than data entry.
The takeaway
The move toward AI-driven documentation and analytics signifies a broader transition in fertility medicine toward digitized, automated clinic management. Practices may see increased operational efficiency as these tools continue to roll out across the sector.
Further reading
Learn more about the evolving technology landscape by visiting the Healthcare section.
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