FemTech App Development Company

We build cycle tracking platforms with ML-driven ovulation and fertile window prediction that factors in cycle length history, basal body temperature trends, LH surge data, and lifestyle variables including sleep, stress, and activity. Symptom logging captures mood, energy, cramping, flow, and custom user-defined observations across the full cycle. Notifications fire at cycle phase transitions, predicted fertile days, and late period alerts.

Wearable integration via Apple HealthKit, Google Health Connect, and Oura API pulls temperature and heart rate variability data into the prediction model automatically. Users do not need to manually export from their wearable and import into the app. The outcome is predictions accurate enough for clinical trust, not just engagement.

Fertility clinic platforms require a data model that handles IUI and IVF treatment cycles, triggered monitoring protocols, lab result intake from LIMS integrations, and medication tracking with dose logging. The clinician dashboard surfaces the right patient signals at the right time. We build each component to your clinic's specific protocols rather than forcing your clinical workflow into a generic EMR template.

Patient-facing apps connect to the clinic platform via FHIR R4 APIs so patients log symptoms, take temperature readings, and receive triggered instructions without a phone call to the front desk. Clinic coordinators see a real-time dashboard of active cycles with alert flags for readings outside protocol thresholds. The outcome is a clinic platform that models couples and cycles, not single patients and visits.

Prenatal care platforms connect expectant mothers to their care team between appointments through structured check-ins, remote patient monitoring for blood pressure and glucose, fetal movement logging, and a two-way messaging layer with midwives and OB-GYNs. Configurable alert rules flag readings outside safe thresholds so the care team acts before the next appointment rather than after the next crisis.

Postpartum care modules extend the platform through the fourth trimester: Edinburgh Postnatal Depression Scale assessments, feeding and sleep logging, lactation support workflows, and care team escalation paths for mental health concerns. The platform connects to Epic or Cerner via SMART on FHIR so data moves between the app and the clinical record without manual re-entry. The outcome is continuous care from conception to the postpartum period.

Menopause platforms need more than a hot flush counter. We build symptom logging across the full menopause symptom spectrum (vasomotor, psychological, and musculoskeletal) with severity scoring that produces a structured clinical summary rather than a raw log. HRT tracking records type, dose, and administration route with side effect logging linked to medication changes so clinicians can see cause and effect in one timeline.

Clinician dashboards surface symptom trends, HRT adherence, and severity threshold alerts. Integration with the NHS App or private GP booking systems lets women start a clinical review directly from within the platform when symptom patterns warrant it. Telehealth consult modules connect for in-app video appointments without sending the user to a separate tool. The outcome is menopause care with a clinical layer.

Clinical trial recruitment and data collection for women's health research (endometriosis, PCOS, premature ovarian insufficiency, and menstrual disorder studies) requires a participant-facing data entry experience that improves adherence and a backend that produces trial-ready structured data. We build eCOA (electronic clinical outcome assessment) tools with validated questionnaire modules, PRO (patient-reported outcome) capture, and an audit trail that meets FDA 21 CFR Part 11 electronic records requirements.

FHIR R4 data models confirm structured clinical data is exportable to research databases, CTMS platforms, and regulatory submissions without manual re-formatting. Consent management captures granular, timestamped consent for each data use category so the consent record is audit-ready at every stage of the trial. The outcome is trial data that satisfies the regulator.

Women's health telehealth platforms need asynchronous and synchronous care pathways. In-app video consults. Secure message threads with read receipts. Prescription management with integration to pharmacy dispensing APIs. And a care coordinator layer that routes patients to the right clinician based on presenting concern and availability. Messaging with HIPAA-grade access controls logs every communication event in a full audit trail.

Specialist referral pathways (from a GP to a gynaecologist, from a menopause nurse to a menopause specialist) work through the same platform rather than requiring the patient to register in a separate system. Care continuity data travels with the referral: the symptom history and treatment record the next clinician needs is ready before the appointment, not requested from scratch. The outcome is referrals that carry the patient's history.