Adaptive assessment for mass personalization of pain therapy
MEASUREMENT
is the foundation of scientific understanding. Advances in psychometric theory and inexpensive computing power have propelled the field of psychometric assessment into a renaissance. With new types of data to power assessment, and new techniques of analysis to turn data into meaningful measures, questions about our subjective experience and objective functioning can be answered with unprecedented precision and accuracy. Personalization of assessment without a loss of accuracy and objectivity can open a new frontier for treatment and research of pain. Using both self-assessment and the perspective of family and caretakers, we can approach pain with the deeper understanding necessary to make far more rapid progress on a problem that touches countless lives.
ADAPTIVE
tests adjust the questions they ask subjects based on prior responses and stop when they obtain enough information to support a decision. Today’s state of the art goes far beyond the simple decision-tree architecture of traditional adaptive assessment.
LEADERAMP
is a scientifically grounded assessment platform that combines engineering-worthy metrology and analytical tools with artificially intelligent coaching. Based on our success yielding measurable improvement in leader potential and performance, we believe we can bring meaningful improvements to currently available ways to measure pain by calibrating our instruments to each individual pain sufferer, and removing bias from the resultant information using advanced statistical and machine learning techniques. We can promote social measurement and support with family members and friends to bolster clinical interventions. Using the adaptive assessment of LeaderAmp, effective, functional, and social measures of pain can be integrated with precision, supporting both the mass personalization of therapy and fine-grained clinical investigation.
