SBIR-STTR Award

Preventing Medical Staff Burnout with ACE Score App
Award last edited on: 9/12/22

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$49,969
Award Phase
1
Solicitation Topic Code
AF211-CSO1
Principal Investigator
Natalie Martin

Company Information

Elevation Point 2 Inc

8559 Run Of The Knolls
San Diego, CA 92127
   (858) 602-2853
   N/A
   www.elevationhealthpartners.com
Location: Single
Congr. District: 52
County: San Diego

Phase I

Contract Number: FA8649-21-P-1251
Start Date: 4/14/21    Completed: 7/19/21
Phase I year
2021
Phase I Amount
$49,969
Sadly, between 30-50% of our medical professionals report experiencing “burnout”*. New research now shows that this condition is not subjective - but has neurobiological evidence that can be measured. Concerningly, the effects of medical worker burnout can be visibly observed in brain scans. Further research shows that burnout often leads to life-threatening medical errors. Medical worker burnout is so severe that it is now being compared to PTSD with its impact on readiness and has only become more severe since COVID. Research shows that adult medical professionals that experienced childhood trauma may experience worse symptoms of burnout. However, this situation can be resolved and prevented with new innovations and insights in psychology and neuroscience. Lamm et al. 2011 demonstrated with brain imaging that the brains of medical workers subconsciously experience the suffering of their patients. The use of empathy by care providers increases the quality of care provided, but it also increases the severity of “burnout” of the medical worker, because he or she is subconsciously experiencing mental suffering. This condition has exploded in the age of COVID and has been validated by the Air Force’s own psychological researchers. In collaboration with UC San Diego – Elevation Health Partners has created a technology platform that reduces the neurobiological causes of burnout in medical workers. Elevation Health Partner’s product uses Machine Learning (ML) to customize its intervention to the unique psychology of each individual user including their ACES score. Natural Language Processing (NLP) will be used to further customize the coaching to the specific lifestyle and environmental vectors relevant to each individual user. Baseline statistics and foundational research already exist in both the DoD and commercial sector on the scale and impact of

Phase II

Contract Number: ----------
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
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Phase II Amount
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