Univfy One-Stop Patient Retention Program
Univfy PreIVF Report
Link to Univfy Presentations
PreIVF Report Explainer Video for Providers
Univfy AI-Assisted IVF Pricing -- a Win-Win for Providers & Patients
Univfy PreIVF Report Addresses Patients' Concerns
Marketing Support
Collaboration Process
Data Requirements
Provider and Patient Testimonials
Univfy's Published Research
Client Services Team
Contact Us
Return to Top

The One-Stop Patient Retention Program for IVF Centers

Univfy uses AI + human experts to support fertility centers to improve patient retention and treatment utilization needs.

Providers use the Univfy PreIVF Report to enable personalized and streamlined patient counseling! Generate a Univfy PreIVF Report in real-time, in less than 2 minutes. Secured, HIPAA-compliant portal. We can also run reports for you. EMR integration is available upon request.

Contact us:

Dr. Marco Menabrito | Head of Customer Success | Email: marco.menabrito@univfy.com

Dr. Mylene Yao | CEO and Cofounder | Email: mylene.yao@univfy.com

Univfy® PreIVF™ Report Supports Provider Counseling

Univfy PreIVF Report usage drives IVF conversion and revenue for providers.

Increase IVF utilization
Retain patients after their first failed IVF cycle
Motivate patients to complete their diagnostic workup and follow up
Help patients with poor prognosis move to alternative treatment sooner
Distinguish your center among both self-pay and insured patients

The Univfy PreIVF Report supports clinical counseling by giving patients a personalized probability of IVF success, or live birth outcome, in an easy-to-understand, patient-friendly report. The reports are scientifically validated and customized to each center based on their own data, their treatment philosophy, and counseling style.

View a Sample Report Here

See Univfy Presentations @ www.univfy.com/presentations

Using AI/ML to Support Patient Counseling in IVF

Dr. Matthew G. Retzloff, a fertility specialist at the Fertility Center of San Antonio, shares how he uses the Univfy PreIVF Report when counseling patients about IVF. He compares personalized IVF success predictions made by Univfy's AI model with age-based estimates. This clip is from a presentation made by Dr. Retzloff during the Best of ASRM and ESHRE 2021 conference.

Unvify Featured In

Screen Shot 2023-04-10 at 9.57.46 AM.png

Ask about Univfy's AI-Assisted IVF Pricing Strategy - Popular with Providers & Patients 

Hypothetical Example of IVF Refund Program Cost-Comparison

You can choose to have Univfy design and implement an IVF refund warranty program for your center. Univfy’s IVF prediction modeling makes it possible to qualify up to 80% of patients for a Univfy-Powered IVF Refund Program, compared to traditional refund programs that qualify very few. For fertility centers that already have a refund program in place, Univfy can apply our personalized prognostics to enhance your existing program.

Univfy will do the financial modeling to ensure your program is a win-win for your center and your patients.

The Univfy PreIVF Report Addresses a Wide Range of Patients' Concerns

Univfy® Provider Partnership Process

Implementation of Univfy’s technology is easy. Below we outline the steps to partner with Univfy, so you can quickly start seeing the ROI. To learn more about data requirements and submission, please click on “Data Requirements” on the navigation bar. For more information, please contact marco.menabrito@univfy.com.

What Types of Data Are Required?

Data Collection for IVF Prediction Model Development & Validation by Univfy

Many centers send us their IVF outcomes data in excel format, in the form of an export from established sources, but you can send us your data in any format and export from any database. Univfy’s data use agreement has a HIPAA section that allows Univfy to serve as business associate in the HIPAA compliance context. If you have questions about how to compile the data set or need help to encrypt your data file for HIPAA-compliant methods of data transmission, please contact marco.menabrito@univfy.com.

What Providers and Patients Are Saying About Univfy

Univfy collaborated with the American College of Obstetrics and Gynecology (ACOG), at the 2021 ACOG Annual Meeting, to share how fertility specialists are using the Univfy AI Platform to help counsel patients about their treatment options, maximizing each woman and couple's chances of success, and increasing growth for providers. Click below to watch.

Provider and Patient Testimonials

About Univfy®

Univfy is a technology company founded by Stanford University researchers with expertise in reproductive medicine and artificial intelligence (AI). Dr. Mylene Yao and Dr. Wing H. Wong cofounded Univfy to make IVF success more predictable for women and couples navigating their family-building options, while improving growth for fertility centers. Through product innovation and response to feedback from fertility specialists and patients, we’ve built a proprietary IVF-success predictive platform that is scientifically validated and has proven to increase business metrics. Through the work of our talented team of data scientists, engineers, business strategists, and clinical and client services professionals, the Univfy® AI Platform now serves IVF centers in the US, Canada and Europe.

Univfy Published Research: Validated IVF Outcomes Prediction Models

2008 - PLOS One
Univfy® founding team reported factors pertaining to embryos as a cohort had greater predictive power in IVF-live birth probabilities than factors describing individual embryos.

2010 – PNAS
Using a prediction model developed and validated with machine learning, more patients were found to have higher IVF success probabilities than age-only control model. More than 80% of patients tested by Univfy’s prediction models were proven to have higher probabilities of IVF success, compared to age-based model.

2012 - Fertility and Sterility
Using machine learning, we showed that the probability of having twins from transferring two embryos in an IVF-embryo transfer procedure can be predicted for each patient and her partner.

2013 – Fertility and Sterility
We reported that first-cycle IVF data and outcomes from multiple centers can be merged to train and validate a multi-center IVF-live birth prediction model that has superior predictive power, discrimination and reclassification rates than possible from an age-only control mode.

2015 - Fertility and Sterility
Univfy and collaborators show the ovarian reserve marker AMH, when used together with other clinical predictors, provided predicted probabilities of IVF success with or without the concomitant use of antral follicle count.

2020 – RBMO
Univfy® Collaborates with EU Fertility researchers to discuss the use of AI-assisted IVF prognostics as one approach to reducing barriers to IVF utilization. Economic factors and stress are among key barriers to ART utilization. One patient-centered approach to addressing these barriers is to clearly communicate individualized prognostic information to patients with transparency and empathy, thereby helping patients set realistic expectations of ART [assisted reproductive technology]. Shared decision-making may also reduce the stress of healthcare practitioners counselling patients on ART prognosis.

Our methods have been published in top, peer-reviewed research publications, in which we reported and established benchmarks for measuring the performance of our IVF outcomes predictive model. Click on each of the circles above to view the corresponding research paper abstracts.

We work with providers globally and ensure that our data use methods are compliant with the authorities of each country including HIPAA, GDPR, and PHIPA (personal health information protection act).