eMindLog® is a personalized self-assessment tool that helps everyday people know themselves better through science
Your emotions, thoughts and actions drive each other. Negative emotions drive harried thoughts, and compel reflex behaviors, creating a recurring loop. Your freedom to choose is lost. By identifying and bringing to awareness such patterns, eMindLog® helps you break the cycle and re-take control of your mental health.
The key to better mental health is to understand the relationship between our internal experiences and our external behaviors. eMindLog® allows us to measure how these worlds interact, providing a personalized, clinically based benchmark tool designed to help you monitor and manage how these elements impact your mental health.
eMindLog® asks you a series of questions based on your emotions, thoughts, and behavior
Using advanced neuro-scientific algorithms, eMindLog® displays a baseline of your current mental state
eMindLog® creates a personalized action plan with guidance tailored to your specific mental health needs
Through on-going assessment, eMindLog® tracks improvements over time and adjustment of plans to help you meet your goals
eMindLog® is a dynamic platform solution designed to help fulfill multiple unmet needs
Track the vital signs of the mind and get actionable insights to monitor and proactively manage stress, depression, and anxiety
Empower students to privately assess their mental health, and when critical thresholds are crossed, offer personal and campus resources to address problems preemptively, improve academic performance and successful graduation
Leverage valuable mental and behavioral health data to help improve diagnosis, treatment outcomes, and disease-management strategies
Discover and document subjective data with precision, to demonstrate the efficacy and outcomes of novel interventions for better mental health outcomes
Measure and assess employee mental health, identify group patterns, and implement assistance programs designed to improve company culture, employee satisfaction, and productivity
Leverage big data to identify and predict patterns at individual and population levels, and as a tool to assess mental health metrics
Penders TM, Wuensch KL, Ninan PT. eMindLog: Self-Measurement of Anxiety and Depression Using Mobile Technology. JMIR Res Protoc. 2017 May 24;6(5):e98. doi: 10.2196/resprot.7447. PMID: 28539304; PMCID: PMC5463054.
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