Tuune employs a clinically-driven algorithm that analyzes individual health profiles and symptoms to generate personalized contraception recommendations for women. This technology enhances patient outcomes by providing evidence-based treatment plans tailored to each woman's unique hormonal and reproductive health needs.
Funding
$8.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Women seeking contraception often receive generalized recommendations that may not fully address their individual health profiles, hormonal symptoms, and reproductive needs. This can lead to suboptimal choices, reduced patient satisfaction, and increased physician consultation time.
Solution
Tuune offers a clinically-driven algorithm that analyzes individual patient health data and symptoms to generate personalized contraception recommendations. The platform captures detailed patient information, including health history, symptoms, MEC eligibility, and current medications, prior to the appointment. This data is then compared against thousands of pages of scientific research to identify tailored, evidence-based treatment plans. The system provides a detailed report to the clinician prior to the appointment, enabling faster diagnoses and improved patient outcomes with less physician time.
Target Audience
The primary target audience includes OBGYNs, nurse practitioners, and other healthcare providers who prescribe contraception and want to improve patient outcomes and satisfaction while reducing consultation times.
Features
- In-depth patient assessment capturing over 70 symptoms related to hormonal and reproductive health
- Proprietary algorithm based on insights from thousands of scientific and clinical sources
- Analysis of health history, symptoms, MEC eligibility, and medications
- Comparison of patient profiles with extensive scientific research
- Identification of personalized, evidence-based treatment plans
- Detailed report provided to clinicians prior to appointments
- Prediction of potential parallel health risks