Synthetic data only. Never enter patient information; nothing is sent or stored. For clinicians. Not FDA cleared.For licensed clinicians. Educational demonstration on synthetic data. Never enter real patient identifiers or protected health information: everything runs in your browser and nothing is sent or stored. Clinical decision support only; not FDA cleared; physician review is required.
CPE-010 · Screening
PC-01: Evaluation indicated
Evaluation indicated. Evaluates irregular cycles OR hirsutism OR acne OR androgenic alopecia OR infertility with irregular cycles.
Condition
- irregular cycles OR hirsutism OR acne OR androgenic alopecia OR infertility with irregular cycles
- no PCOS work-up documented
What it reports
- Screening opportunity: a PCOS work-up is reasonable
Recommended next steps (for physician review)
- Document cycle history; examine for hirsutism (modified Ferriman–Gallwey); measure total and free testosterone or the free androgen index with SHBG; add TSH, prolactin and early-follicular 17-hydroxyprogesterone
Diagnostic boundary
- Features are non-specific.
Evidence
- EV-PCOS-2023Teede HJ, Tay CT, Laven JJE, et al. Recommendations From the 2023 International Evidence-based Guideline for the Assessment and Management of Polycystic Ovary Syndrome. J Clin Endocrinol Metab. 2023;108(10):2447-2469.Supports: Adult diagnosis: irregular cycles plus hyperandrogenism once other causes are excluded; ultrasound or AMH when one is missing Adolescent criteria require both irregular cycles and hyperandrogenism Glycemic, cardiometabolic, sleep and mood assessment; endometrial risk in prolonged anovulation
- EV-ACOG-PCOS-2018American College of Obstetricians and Gynecologists. Polycystic Ovary Syndrome. ACOG Practice Bulletin No. 194. Obstet Gynecol. 2018;131(6):e157-e171.Supports: Clinical approach, exclusions and long-term risks
Cases where this rule fires
Open a case to see this rule fire with real inputs, then change the values until it stops.
Try Biod in your practice
The Clinical Intelligence Layer — transforming fragmented clinical information into structured intelligence for clinician review and action.