pregna-riskCalculates a weighted composite score predicting adverse pregnancy outcomes in SLE/APS patients to guide risk stratification and management.
Install via ClawdBot CLI:
clawdbot install cryptoreumd/pregna-riskGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Oct 6, 2026
A rheumatologist uses PREGNA-RISK to quantify pregnancy risk for a patient with SLE and APS before conception. The score guides shared decision-making and intensity of monitoring.
An obstetrician in a high-risk clinic uses the tool to stratify pregnant patients with autoimmune conditions. The output determines referral to MFM and frequency of Doppler ultrasound.
A hospital IT team integrates PREGNA-RISK into the electronic health record to automatically calculate risk scores from structured data. The tool triggers alerts for guideline-concordant care.
An accountable care organization uses PREGNA-RISK to identify high-risk pregnancies for proactive care management. This helps allocate resources and reduce costly complications.
A clinical research network applies the tool to registry data to stratify participants for a study on lupus pregnancies. The Monte Carlo simulation supports sample size and power calculations.
Hospitals and clinics pay a monthly fee per user to access the risk calculator via web or EHR integration. The tool updates with latest evidence and provides audit logs.
EHR vendors license the PREGNA-RISK API to embed risk assessment into their prenatal care modules. This adds value to their offerings and improves clinical outcomes.
Payers contract with the tool provider to reduce adverse pregnancy outcomes and associated costs. Savings from avoided NICU admissions are shared between payer and provider.
💬 Integration Tip
The tool is a simple Python script with minimal dependencies (numpy), making integration straightforward. However, it requires structured input data; mapping to clinical variables from EHR or registry may need parsing logic.
Scored Oct 6, 2026
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