US 12,327,262 B1
Medical accountable provider platform
Joshua S. Benner, McLean, VA (US); Aaron McKethan, McLean, VA (US); Kimball Lewis, McLean, VA (US); Daniel Smith, McLean, VA (US); Morgan Beschle, McLean, VA (US); Spencer Cherry, McLean, VA (US); and Loren Lidsky, McLean, VA (US)
Assigned to RxANTE, INC., Portland, ME (US)
Filed by RXANTE, INC., Portland, ME (US)
Filed on Nov. 7, 2023, as Appl. No. 18/503,505.
Application 18/503,505 is a continuation of application No. 17/744,269, filed on May 13, 2022, granted, now 11,842,365.
Application 17/744,269 is a continuation of application No. 16/163,734, filed on Oct. 18, 2018, granted, now 11,334,902, issued on May 17, 2022.
Application 16/163,734 is a continuation of application No. 14/319,450, filed on Jun. 30, 2014, granted, now 10,108,975, issued on Oct. 23, 2018.
Claims priority of provisional application 61/841,395, filed on Jun. 30, 2013.
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/0207 (2023.01); G06Q 50/22 (2024.01); G16H 10/60 (2018.01); G16H 20/10 (2018.01); G16H 40/20 (2018.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01)
CPC G06Q 30/0207 (2013.01) [G06Q 50/22 (2013.01); G16H 10/60 (2018.01); G16H 20/10 (2018.01); G16H 40/20 (2018.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A system configured to identify a patient population in a healthcare program based on, in part, a predictive function applied to characteristics of a patient, the system comprising:
a processor; and
a memory configured to store computer readable instructions that, when executed by the processor, cause the system to:
determine a list of health care providers and a list of patients;
obtain one or more data files including historical data for each patient;
apply the historical data to one or more variables and generate a resultant data file;
apply the resultant data file to a model setup procedure to generate a prediction function;
generate an adherence risk score for each patient, in the list of patients, using the prediction function;
apply the score to each patient in the list of patients;
identify a subset of patients, from the listing of patients, based on, at least, factors related to a likelihood of adherence after an intervention is carried out; and
generate a user interface for display having at least a first view, a second view, and a third view, wherein the first view includes:
a home menu display having a plurality of selectable options; and
the second view includes:
an itemized listing of patients from the subset of patients, wherein each line in the itemized listing includes an identification of each patient and at least one therapy associated with each patient, and each patient in the itemized listing is associated with the applied score; and
the third view includes patient details associated with a first patient from the itemized listing of patients, and the third view further includes:
a first portion identifying a therapy associated with the first patient, and an indication associated with a refill value for the therapy associated with the first patient.