Patent ID: 11929175
Assignee: UNIVERSITY HOSPITALS CLEVELAND MEDICAL CENTER
Field: Medical technology (Instruments)
Classification: CPC G  A  Y | IPC A  G

Claim 7:
8. A computer-implemented method, comprising:
tracking, by a system comprising a processor, transfusion procedure information for patients that received transfusion procedures, the transfusion procedure information comprising post-transfusion clinical response data for the patients and appropriateness scores that represent a level of appropriateness of the transfusion procedures for the patients, the appropriateness scores determined using one or more machine learning models trained to forecast the appropriateness scores based on forecasted outcomes of the transfusion procedures;
evaluating, by the system, appropriateness of the transfusion procedures across different verticals based on the appropriateness scores and generating corresponding reports;
providing, by the system, access to the transfusion procedure information and the corresponding reports via an interactive dashboard user interface;
employing, by the system, one or more machine learning techniques to update the one or more machine learning models based on learned imbalances between the transfusion appropriateness scores and the post-transfusion clinical response data using the corresponding reports, resulting in updated versions of the one or more machine learning models with improved clinical accuracy;
identifying, by the system, a medical provider that consistently performs inappropriate transfusion procedures included amongst the transfusion procedures for a subset of the patients that received an appropriateness score indicating performance of a transfusion procedure was inappropriate; and
monitoring, by the system based on the identifying, new appropriateness scores generated via the one or more machine learning models for new patients associated with the medical care provider.