US 12,273,369 B2
Scaleable risk management assessment system and method
Fred Cohen, Pebble Beach, CA (US); and Chris Blask, Pebble Beach, CA (US)
Assigned to MANAGEMENT ANALYTICS, INC., Pebble Beach, CA (US)
Filed by MANAGEMENT ANALYTICS, INC., Pebble Beach, CA (US)
Filed on Apr. 2, 2024, as Appl. No. 18/625,058.
Application 18/625,058 is a continuation of application No. 15/212,159, filed on Jul. 15, 2016, granted, now 11,997,123.
Claims priority of provisional application 62/193,043, filed on Jul. 15, 2015.
Prior Publication US 2024/0267401 A1, Aug. 8, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 9/40 (2022.01); G06F 21/56 (2013.01)
CPC H04L 63/1433 (2013.01) [H04L 63/1425 (2013.01); G06F 21/56 (2013.01); H04L 63/02 (2013.01); H04L 63/0218 (2013.01); H04L 63/1416 (2013.01); H04L 63/20 (2013.01)] 28 Claims
OG exemplary drawing
 
1. A method for performing multiple concurrent assessments for multiple parties using a computer system having a memory and a hardware processor, the method comprising:
retrieving, by the computer system having the memory and the hardware processor, one or more data sets, wherein each data set includes a standard of practice for each assessment, each assessment standard of practice further comprises one or more decisions, a finite number of alternative actions for each decision, a procedure for choosing between the finite number of alternative actions, and a basis for making the one or more decisions about an assessment for a party; and
executing a plurality of instructions by the hardware processor that is configured to:
gather a plurality of decision-making factors for each party of the multiple parties;
adjust a performance of the assessment standard of practice for said each party based on the decision-making factors for said each party to generate a particular assessment standard of practice for said each party;
apply the particular assessment standard of practice generated for said each party to said each party of the multiple parties to generate a particular assessment decision for said each party of the multiple parties based on the plurality of decision-making factors for said each party;
access as-is information for said each party based on the gathered plurality of decision-making factors for that party;
determine future state information for said each party of the multiple parties including the particular assessment decision based on the particular assessment standard of practice for each of the multiple parties;
retain, by a software tool, contextual information for use by a next assessment process at a later time;
output one or more of the as-is information, the future state information and the particular assessment decision for said each party of the multiple parties; and
adapt the standard of practice over time based on an outcome, a feedback or an additional expertise to generate an updated standard of practice and retrieving the updated standard of practice to perform the assessment of said each party.