LifeScore

Peer Supported - Whole Health Individual Performance Improvement Tool designed to provide outcomes that will improve the quality of life, saving lives, and protect the privacy of participants to eliminate stigma often associated with mental illness. 

Competitive Advantage:

•     Predict the Crisis Before the Crisis Happens

•     Just-In-Time Digital Strategy and A.I. to improve healthcare utilization and outcomes

•     Objective, accurate evaluation of your whole health with resources and support to improve

•     Recurring LifeScore assessment questions, scoring, and gamification. These are things we ask on a daily/monthly/annual basis, (Measure of recurring events: panic attacks, migraines, chronic pain)

•     Key unscheduled life event logging and assessment (new or update of a diagnosis, Financial, Legal, Family, Physical Trauma events)

•     Unmatched proprietary security and privacy to protect your personal information and eliminate mental health stigma

•     Hyper-personalization of relevant services to the user with a high degree of accuracy, at scale, automatically, based on their real-time wants and needs data. They receive the right services at the right time to benefit their overall health.

•     Guidance to clinicians to better inform to improve diagnosis, treatments and outcomes

•     Data analysis to command to provide key performance indicator’s to improve readiness and provide information to optimize human performance and program effectiveness.

•     Cognitive Function Assessment How effective is your brain processing info: 1. Focus 2. Situational Awareness 3. Cognitive Stamina 4. Decision Making Under Pressure 5. Overall Human Performance

•     We are stepping beyond the traditional statistical analysis methodologies and bringing the power of deep neural networks to bear on the problem of suicide. Deep Neural Networks allow us to build models that aggregate a very broad range of factors, some of which traditional analysis may have missed. With over one hundred parameters fueling our models, our models allow us to quickly and regularly calculate a suicide risk score for app users based upon their continuously updated data.This will provide input for the LifeScore Just-In-Time system that will provide recommendations and resources to users. This model collaborates existing research.