Israel-based software company Fairtility has integrated its artificial intelligence (AI) decision support system, CHLOE, with electronic medical record (EMR) platforms used in fertility clinics, including vRepro, IDEAS from Mellowood Medical, nAble IVF, and MedITEX.
This integration claims to advance the digitalisation of IVF clinics, offering a seamless flow of information.
The AI platform will serve as a workflow enhancement and decision support tool set for reproductive care practitioners.
This integration with EMRs will allow seamless, automatic data capture and processing within interconnected systems, resulting in a unified data and insights hub for fertility clinics.
According to the vendor, the advantages of this integration include standardised data inputs for informed decision-making, enhanced clinical accuracy, reduced administrative burdens, and improved patient experiences.
Next Fertility Clinics country manager for Spain and Portugal Adriano Carbone said: “I believe the IVF lab of the future needs to be a streamlined source of priceless data combining the latest technologies like Artificial Intelligence and Next Generation Sequencing (genetics), enabling our staff to consistently make the best clinical choices and personalize each treatment.
“This can only be achieved with full integration of the different systems used in the lab and combined with the clinical data and outcomes via the medical EMR.
“The present is that our clinical care teams are already reaping the benefits of this integration with streamlined workflows, reduced administrative time, and minimised note work in the IVF lab, enabling our team to be more effective and serve more patients with greater accuracy and transparency.”
Fairtility uses transparent AI to improve outcomes in reproductive care, offering clinicians complete visibility into crucial clinical and laboratory parameters with CHLOE.
It aims to expand CHLOE's application across the entire reproductive care journey, from infertility assessment to optimising embryo transfer.
