US 12,080,433 B2
Healthcare application insight compilation sensitivity
Shakil Manzoor Khan, Highland Mills, NY (US); Paul R. Bastide, Ashland, MA (US); and Senthil Bakthavachalam, Yorktown Heights, NY (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Feb. 10, 2021, as Appl. No. 17/248,844.
Prior Publication US 2022/0254505 A1, Aug. 11, 2022
Int. Cl. G16H 50/70 (2018.01); G06F 16/23 (2019.01); G16H 10/60 (2018.01); G16H 40/20 (2018.01); G16H 70/20 (2018.01)
CPC G16H 50/70 (2018.01) [G06F 16/2379 (2019.01); G16H 10/60 (2018.01); G16H 40/20 (2018.01); G16H 70/20 (2018.01)] 18 Claims
OG exemplary drawing
 
1. A computer implemented method for dynamically moderating real-time healthcare application data in a multitenant healthcare platform storing and processing electronic healthcare records in a cloud environment while minimizing downstream churn, minimizing churn including minimizing the need to process and re-process data, the method comprising:
receiving by a server application associated with the multitenant healthcare platform an incoming real-time data load request comprising a plurality of referential healthcare data elements related to healthcare data regarding a patient, the data load request related to loading healthcare data into the server application;
assessing a downstream query impact of the plurality of referential data elements, the impact related to performance of the multitenant healthcare platform;
determining, based on the assessing, a sensitivity level of the plurality of referential data elements, the sensitivity level related to a cardinality of the referential healthcare data elements and a number of changes to be made to a data set;
classifying, at a centrality/velocity scorer, the referential data, wherein classifying uses a threshold value to immediately calculate values at an immediate calculation stage or to process the referential data at a queuing stage;
delaying loading, at the queuing stage, the referential data elements into the server application based on the cardinality below a threshold, wherein a delaying mechanism allows for controlled execution to a schedule; and
altering, based on the sensitivity level, compilation of insights based on healthcare data compilation generated using the plurality of referential data elements and compilation of a plurality of referenced data elements.