Super interested to see how the standardization of integrating a holistic dataset with imaging changes how we deploy treatments. Are most pain therapies delivered based on quantitative or qualitative selection criteria? At Celeri Health we have been assembling an incredibly powerful integrated dataset with this in mind. Excited to see that BACPAC is aligned with our work. Fortunately, the field of pain medicine is also ripe with effective therapies where patient selection is informed by imaging (i.e. multifidus atrophy, Modic changes, facet effusions, etc.). When we layer this together with the patient’s demographics, PROs, medications, socioeconomic status, qEEG, HRV, and even locoregional weather patterns we can start to granularly predict success or failure based on real covariates.
Want to participate in this data revolution? Check out Celeri Health and join us in getting patients the right treatment at the right time using the right criteria.