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Comprehensive and Individualized Menopause Care Delivery Protocol With Technological Decision Support Aid (Case No. 2024-193)

Summary: Researchers in the UCLA Department of Obstetrics and Gynecology have developed a new clinical decision support system for improved menopause care. Background: Each year, approximately 1.3 million women in the United States enter menopause. This is often accompanied by symptoms such as hot flashes, mood changes, and sleep issues. In addition,...

Published: 10/2/2024 | Inventor(s): Rajita Patil, Erica Oberman, Brittany Davis, Rhonda Voskuhl, Kathleen Van Dyk, Ravi Aysola, Louise Dixon De Silva, Karol Watson, Lua Jafari, Julie Bernthal, Rashmi Mullur, Albert Shieh, Elizabeth Ko, Katie Hu, Aashini Master, Kelly Mccann, Kelsey Collins, Katherine Unverferth, Tamara Grisales, Amy Rosenman, Andrea Rapkin

Keywords(s): clinical care methodology, clinical decision support, EHR, EHR integration, electronic health records (EHR), FemTech, femtech medical device, lab results analysis, medical bias reduction, Menopause, menopause management, patient questionnaire, period, personalized medicine, predictive analytics, specialist referral, women’s health

Category(s): Software & Algorithms, Software & Algorithms > Programs, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > FemTech