AI-Assisted Fertility and Pregnancy Journey Management

To design and evaluate an AI-assisted Fertility and Pregnancy journey management platform that enhances patient engagement, improves symptom reporting accuracy, and reduces clinician workload, while maintaining strict clinical boundaries, GDPR compliance, and minimizing medico-legal concerns related to patient-generated data.

A structured AI workflow was developed based on validated UK clinical frameworks, including NICE, RCOG, HFEA, and NHS Digital guidance for fertility care. Patient inputs were standardized through daily evidence-based symptom logging, medication adherence tracking, embryo growth insights, and emotional-wellbeing modules. AI models were limited to non-diagnostic functions: pattern recognition, reassurance-level responses, and pre-consultation summaries.

Clinician oversight was simplified via a one-time 1–2 hour onboarding using pre-filled, guideline-driven templates requiring only verification. No real-time notifications were sent to clinicians, reducing workload. Red-flag symptoms triggered an automatic escalation to local emergency services using verified hospital directories.

Data protection measures included full GDPR compliance, explicit consent flows, encryption, audit trails, and restricted clinical decision-making boundaries.

Initial clinic evaluations showed:

Improved patient symptom reporting through consistent journaling, uncovering 20–40% of commonly under-reported symptoms.

Significant reduction in doctor workload due to clean, structured AI-generated visit summaries.

High clinician acceptance attributed to minimal onboarding time, zero disruption to existing workflows, and reassurance that AI does not diagnose or override medical judgment.

Increased patient satisfaction and emotional support through continuous guidance, without relying on clinician availability.

Medico-legal protection enhanced through objective, time-stamped data rather than subjective patient narratives.

The AI-assisted Fertility and Pregnancy platform demonstrates strong potential to improve continuity of care, patient adherence, and consultation quality while respecting clinician workload limitations and safety concerns. By positioning AI as a supportive, non-diagnostic layer, and not as a clinical decision-maker, the system strengthens trust, protects clinicians, and adds measurable value to Fertility and Pregnancy clinics/hospitals.