Dr. Richa Goyal
Biography
Richa Goyal is a seasoned Life Sciences professional with over 18 years of industry experience, predominantly on the consulting side. She possesses deep expertise across strategic planning, go-to-market (GTM) strategies, market access, pricing, launch optimization, and late-phase studies.
Her specialization areas include Health Economics and Outcomes Research (HEOR), Real-World Evidence (RWE), patient preference studies, patient-reported outcomes, health systems research, database analysis, patient support programs, and post-market research.
Richa has been recognized with several prestigious awards, including the Healthcare Businesswomen?s Association (HBA) ?Then and Now? Award under the HBA Ambassador Program, the Asia?s Women Leader Award, and a CEO Award for People Leadership during her tenure at IQVIA.
A respected thought leader, Richa has contributed extensively to both national and international conferences and has been invited as a guest speaker on numerous prestigious platforms. She has over 50 publications in peer-reviewed journals and has contributed to book chapters. Her leadership is distinguished by her ability to foster cross-cultural collaboration, working effectively with diverse teams and stakeholders across the global healthcare ecosystem.
Research Interest
HEOR, RWE, patient-centered outcomes, health systems, and post-market studies.
Abstract
AI in Women Healthcare
Artificial Intelligence (AI) is revolutionizing women?s healthcare by offering advanced solutions for diagnosis, treatment, and access to care. Women?s health presents unique challenges such as reproductive disorders, hormonal imbalances, and higher risks for chronic diseases like osteoporosis and autoimmune conditions. AI-powered tools now support early detection and risk prediction for these conditions. For example, machine learning algorithms used in breast and cervical cancer screening improve accuracy and reduce false positives, while deep learning models can process vast imaging and clinical datasets to find hidden patterns overlooked by traditional methods. In reproductive health, AI assists with monitoring menstrual cycles, fertility prediction, and management of pregnancy risks through wearables and mobile health platforms.[1][2][3][4][5]
Moreover, AI-driven chatbots and telemedicine platforms are expanding access to medical advice, especially in underserved areas where women encounter barriers to specialist care. Predictive analytics also aids physicians in identifying women at risk for maternal complications like preeclampsia or gestational diabetes. AI?s ability to personalize care by integrating genetic, behavioral, and environmental factors enables better treatment plans and targeted drug discovery. Crucially, AI is helping to bridge data gaps exposed by the historical underrepresentation of women in clinical trials, thereby supporting health equity and more inclusive research. However, issues related to data privacy, algorithmic bias, and equitable access need ongoing attention to maximize benefits. Overall, AI holds significant promise for making women?s health care more precise, accessible, and equitable
