Tech-enabled
precision diagnostics
LEVY Health's software is based on decision trees built on the most recent medical guidelines and over 1,200 hours of research – Our proprietary algorithm combines over 10 million paths of different questions and answers, while integrating patient information and lab results.
Developed by Reproductive Endocrinologists
Avoids human error
Based on medical guidelines
The first clinical decision support software for infertility and endocrine disorders
Reproductive Health Assessment
Dynamic online questionnaire, reacting to how patients answer questions.
- Pool of 234 usability tested questions
- Intuitive and dynamic
- Based on medical guidelines
- Simulating a 45-minute consultation with a fertility specialist
- 97% completion rate
Automated lab orders and analysis
Seamless lab analysis and interpretation in combination with patient’s answers from the Reproductive Health Assessment
- Assay-specific interpretation of AMH using age-specific percentiles
- Automated interpretation of lab results on both the doctor's and patient dashboard
- HL7/FHIR API
Patient triaging
Assessing patients to determine the necessity and urgency of IVF faster than ever, routing patients respectively
- Based on previous treatment results, female age, ovarian reserve, and sperm analysis
- Routes patients to shorter/longer appointments or NP/REI appointments
- Downloadable report to share with OB-GYNs and PCPs in case patient does not need IVF
Evidence-based,
continuously updated
Evidence-based
According to medical guidelines from ASRM, ACOG and ESHRE.
Accessible
API with Labcorp and Quest, integratable with other labs and EHR/EMR software via HL7/FHIR.
HIPAA compliant
Compliant with the U.S. Health Insurance Portability and Accountability Act (HIPAA).
Smart
Rule-based algorithms generate personalized recommendations for ICD-10 diagnoses and treatment.
This is just the beginning
Our software harnesses the power of Intelligence Amplification (IA) to revolutionize the way we deliver care. While clinical guidelines tell us how to diagnose and treat, our data model will be able to tell you which treatment is the best for which patient, and which prognosis and costs can be expected. This increases conversion to treatment and promotes an eye-to-eye relationships between patients and physicians.
Storage of sensitive data in an encrypted, firewall-protected and geo-replicated database
A complex
system of algorithms
Algorithm 1
Assessing self-reported patient data to determine the blood tests needed for a diagnosis
Reproductive Health Assessment
Algorithm 2
Assessing patient data to make recommendations for diagnoses, further diagnostics, and referrals.
Reproductive Health Assessment
Algorithm 3
Assessing patient data and blood tests results to make recommendations for diagnoses, further diagnostics, therapy/coaching, and referral.
Reproductive Health Assessment
Lab Results
Algorithm 4
Analyzing lab results to make recommendations for diagnoses, further diagnostics, therapy/coaching, and referral
Lab Results
