Patent ID: 11948114
Assignee: TAINNOVATION INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. A system comprising:
a processor; and
a memory storing instructions which, when executed by the processor, cause the processor to:
(a) create an audit that includes a plurality of questions;
(b) use a machine learning model to determine a risk value for each of the plurality of questions, at least some of the questions corresponding to one or more policy requirements for healthcare sites, the machine learning model being trained using data regarding past audits for noncompliant healthcare sites and healthcare sites that experienced risk events, the machine learning model configured to assign relatively high risk values for questions that are more likely to be associated with a risk event or noncompliance of healthcare sites and questions that correspond to a greater number of policy requirements for healthcare sites;
(c) receive a plurality of responses associated with the audit of a healthcare site, the plurality of responses corresponding to the plurality of questions;
(d) determine a status for each of the plurality of responses;
(e) calculate a deficiency score for the healthcare site based on
a first quantity of a subset of the plurality of responses indicating a deficient status for the healthcare site by summing risk values associated with the subset of the plurality of responses indicating the deficient status, and
a second quantity of a subset of the plurality of responses indicating an improvement required status for the healthcare site by summing risk values associated with the subset of the plurality of responses indicating the improvement required status;

(f) calculate a total score for the healthcare site based on a third quantity of the plurality of responses and a fourth quantity of a subset of the plurality of responses indicating an inapplicable status; and
(g) calculate a risk score for the healthcare site based on the deficiency score and the total score.