Berry Fertility has launched Smart Compose, an AI-powered tool designed to help fertility clinic staff draft responses to patient messages while keeping clinicians in control of decision-making.
The tool aims to reduce the administrative burden on healthcare professionals by integrating with electronic medical records (EMRs).
It pulls relevant chart data, reviews patient queries and message history, and generates draft replies for clinical teams to review, edit or approve.
Smart Compose uses a “human-in-the-loop” approach, meaning all communication remains clinician-led and no message is sent without human oversight. The goal is to improve communication efficiency while preserving the empathy and personal connection required in fertility care.
Irene Alvarado, chief executive officer at Berry Fertility, said: “Fertility care is complex, and patients deserve timely responses that meet their unique needs.
“As a former patient myself, I know how important it is to feel seen, heard, and cared for throughout this journey. Smart Compose is designed to fit seamlessly into existing workflows, making adoption effortless for care teams.
“By combining advanced language models with human expertise, we’re giving clinicians back time so they can focus on what matters most—providing exceptional patient care.
“This is how AI should function in healthcare: saving clinicians time so they can focus on patients.”
Founded by a team of former Google employees, Berry Fertility provides patient management systems for IVF (in vitro fertilisation), IUI (intrauterine insemination), embryo transfer and egg freezing.
The company says Smart Compose was designed specifically for fertility care, rather than adapted from more general healthcare AI tools.
The system is built on Berry’s proprietary fertility content and medication database.
Each implementation is customised to the clinic, incorporating preferred staff names, locations, prescribing patterns, appointment systems and educational resources.
Berry states that patient data accessed through workflow integrations remains isolated to each provider and is not used to train AI models or shared across systems. Proprietary workflows are also kept separate, ensuring data privacy.
The launch comes as fertility clinics face rising patient volumes and growing administrative workloads.
While AI tools are increasingly used to support documentation and streamline processes in healthcare, applications in sensitive areas like reproductive medicine require careful attention to privacy and human oversight.
Berry Fertility’s broader platform includes tools for patient onboarding, digital scheduling, education, and automation of administrative tasks.
