首页|Researchers Submit Patent Application, 'Entity-Level Cohort Forcasting And Simul ation Interfaces', for Approval (USPTO 20240273263)
Researchers Submit Patent Application, 'Entity-Level Cohort Forcasting And Simul ation Interfaces', for Approval (USPTO 20240273263)
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News editors obtained the following quote from the background information suppli ed by the inventors:“Various embodiments of the present disclosure address tech nical challenges related to cohort predictionand activity forecasting technique s for diverse cohort prediction domains. The techniques of the presentdisclosur e may be applied in any of a number of different prediction domains. As one exam ple, some of the techniques of the present disclosure may address technical chal lenges related to predicting illnessburdens of a population where the accuracy of such predictions is paramount for establishing infrastructureand allocating resources appropriately. Traditional methods for understanding illness burdens a re limitedto historical data for a statically defined cohort of patients. This may lead to inaccuracies due to a numberof factors including a lack of medical history for new members, inefficient coding for existing members,dynamically ch anging memberships, and new emerging chronic diseases that manifest at different rates.These factors, among others, present technical and practical challenges that have traditionally preventedcohort prediction and activity forecasting tec hniques from accurately predicting what a patient illnessburden will be (expect ed risk) and then dynamically tracking the expected risk against an actually recorded risk over time. These deficiencies further prevent the identification of u nderperformance within acohort and the optimal selection of actions to mitigate against underperformance.
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