Dr. Krishnamurti is a PhD researcher trained in decision sciences with a focus on decision making around risk and health outcomes and a particular interest in maternal health. Her ongoing externally-funded studies include:
A) Developing digital health tools for patients and providers that can promote early identification of psychosocial and other clinical risks to aid rapid intervention. The MyHealthyPregnancy platform supports education, early risk identification and intervention during pregnancy. 42Days supports education, early risk identification, and intervention in the early postpartum period
B) Identifying how the topics (the people and events mentioned) and sentiment (the positive, negative, and neutral affect) expressed in digital writing correspond to diagnostic measures of depression and treatment-seeking and
C) Building an intersectional gender and health equity-informed approach to machine learning modeling to inform maternal and infant health risk stratification.
Dr. Krishnamurti’s is also co-leading the Pregnancy Collaborative arm of The Pittsburgh Study, a community-partnered research initiative to identify and support the elements that help children and youth to thrive. Dr. Krishnamurti’s research collaborations more broadly include work on vaccine and diagnostic risk communication, direct-to-consumer telemedicine, substance use, and clinical trial behavior (informed consent and adherence).
Funding:
R21 MH119450-01A1 Identifying Peripartum Depression from Natural Language (NIMH) Antenatal Risk Stratification Product Development (Bill&Melinda Gates Foundation)
R44DP006417-01-00 MyHealthyPregnancy mobile health app: Combining behavioral science and machine learning for risk communication during the peripartum period (CDC)