Mission

Our Partners

  • Monet Goode

  • Emmett Marsh

  • Eleanor Parks

  • Jamie Kokot

Mental Health Data Analytics

Mental Health Data Analytics’ purpose is to use data and algorithms to improve women’s mental health diagnoses and treatment for better outcomes. Our approach is: Patient/Person-focused, evidence-based, data-informed, and focused on improving accountability and transparency throughout each individual’s journey.

Strengthening Diagnosis:

We do not know what we cannot see. Diagnosis for mental health needs to be modernized and digitized for the 21st century. Using data and algorithms, as well as existing surveys and information about women’s health, we are compiling data and making it accessible to improve medical professionals’ ability to diagnose women. We will test and improve questionnaires and how a patient’s input is delivered to remove bias and account for women’s specific mental health needs and experiences.

Streamlining Treatment:

Treatment options need to be expanded from a traditional Western and medicalized understanding of what it means to be healthy. Medical practitioners need tools to know about and understand the many options available (from pharmaceuticals to art and music therapy, nutrition-focused adjustments, or community-based healing). They need to know they can turn to one place to review the evidence and make therapeutic decisions about the best choice for a specific patient, taking into account their unique experiences and identities. Subsequently, treatment needs to be monitored by the medical professional, with access to support for clinical decision-making. Patients deserve to have clarity when it comes to their health, treatment plan, and medication dosages. Medical professionals need more support to provide better options for each person. From first contact with a patient, to diagnosis and developing a treatment plan, through to patient follow ups, we are bringing data to the forefront.

We would like to live in a world in which managing one’s mental health does not have to be a mystery. By harnessing the power of data, we are striving  to understand mental health diagnoses, treatments and progress, so we can imagine a future with predictive and perhaps even preventive approaches to mental health.