Gen
Health
AI
Generative
Healthcare
AI
Healthcare
AI
GenHealth provides a generative AI foundation model trained on medical events from over 40M patients to support use cases for all the encoded data in healthcare.
See how our Generative AI can help your organization
Simulate patient futures
DOOG-E (patent pending) can generate future paths for a patient, condition, procedure, or their combinations. Aggregated paths can probabilistically shed light on a patient or population's journey.
cohort definition (patient history includes)
femalemale patients
305070 year old
with strokecolon cancerheart failure
undergoing a physicalheart bypassknee replacement
DOOG-E (frequency of predictions over next year)
Risk calculation
DOOG-E can calculate the risk for how quickly a disease progresses for a patient or population.
cohort definition (patient history includes)
Male patients who are 67 years old with obesity with a treatment plan starting with
metformingastric bypass surgeryliraglutide (semaglutide)diet / exercise (counseling)
DOOG-E (frequency of predictions over next year)
⬤ All other events⬤ Diabetic or Kidney events
Cost of care
DOOG-E can identify futures impacted by medical decisions. The monetary impact of future events can be aggregated to understand the economics of a care decision.
cohort definition (patient history includes)
59 year old female with osteoarthritis for the hip who is
going in for a physicalhip replacement
DOOG-E (frequency of predictions over next year)
Quality measurement and readmissions
DOOG-E can can calculate the quality of care via readmissions or other events indicative of positive healthcare outcomes.
cohort definition (patient history includes)
71 year old female patient with congestive heart failure and a treatment plan beginning with the following:
a primary care appointmentfurosemideangiotensin receptor blocker (losartan)implantable cardiac defibrillator
DOOG-E (frequency of predictions over next year)